Articles | Volume 4, issue 4
https://doi.org/10.5194/amt-4-717-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-4-717-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Retrieval algorithm for CO2 and CH4 column abundances from short-wavelength infrared spectral observations by the Greenhouse gases observing satellite
Y. Yoshida
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
Y. Ota
currently at: Japan Agency for Marine-Earth Science and Technology, 3173-25 Showa-machi, Kanazawa-ku, Yokohama, Kanagawa 236-0001, Japan
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
N. Eguchi
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
N. Kikuchi
Fujitsu FIP Corporation, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
K. Nobuta
Fujitsu FIP Corporation, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
H. Tran
Laboratoire Interuniversitaire des Systèmes Atmosphériques (LISA, UMR CNRS 7583), Université Paris Est Créteil et Université Paris Diderot, Faculté des Sciences et Technologie, 94010 Créteil Cedex, France
I. Morino
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
T. Yokota
National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan
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280 citations as recorded by crossref.
- Mapping Global Atmospheric CO2 Concentration at High Spatiotemporal Resolution Y. Jing et al. 10.3390/atmos5040870
- Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
- On the Benefit of GOSAT Observations to the Estimation of Regional CO<sub>2</sub> Fluxes H. Takagi et al. 10.2151/sola.2011-041
- Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations M. Liu et al. 10.3390/rs8050361
- Advancements in theory of GHG observation from space Y. Liu & D. Yang 10.1007/s11434-016-1022-1
- Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
- Satellite- and ground-based measurements of CO2 over the Indian region: its seasonal dependencies, spatial variability, and model estimates K. Nalini et al. 10.1080/01431161.2018.1479787
- A retrieval algorithm for TanSat XCO2 observation: Retrieval experiments using GOSAT data Y. Liu et al. 10.1007/s11434-013-5680-y
- Long-Term Vicarious Calibration of GOSAT Short-Wave Sensors: Techniques for Error Reduction and New Estimates of Radiometric Degradation Factors A. Kuze et al. 10.1109/TGRS.2013.2278696
- Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals E. Kivimäki et al. 10.3390/rs11070882
- HDO/H<sub>2</sub>O ratio retrievals from GOSAT H. Boesch et al. 10.5194/amt-6-599-2013
- High resolution temporal profiles in the Emissions Database for Global Atmospheric Research M. Crippa et al. 10.1038/s41597-020-0462-2
- Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data M. Inoue et al. 10.5194/amt-7-2987-2014
- The ACOS CO<sub>2</sub> retrieval algorithm – Part II: Global X<sub>CO<sub>2</sub></sub> data characterization D. Crisp et al. 10.5194/amt-5-687-2012
- Characterization and correction of spectral distortions induced by microvibrations onboard the GOSAT Fourier transform spectrometer H. Suto et al. 10.1364/AO.52.004969
- Short-Wave Infrared-Sensing Organic Phototransistors with a Triarylamine-Based Polymer Doped with a Lewis Acid-Type Small Molecule C. Lee et al. 10.1021/acsami.1c00472
- Spatiotemporal Analysis of XCO2 and Its Relationship to Urban and Green Areas of China’s Major Southern Cities from Remote Sensing and WRF-Chem Modeling Data from 2010 to 2019 Z. Tan et al. 10.3390/geographies3020013
- Slowdown in China's methane emission growth M. Zhao et al. 10.1093/nsr/nwae223
- Simulated retrievals for the remote sensing of CO<sub>2</sub>, CH<sub>4</sub>, CO, and H<sub>2</sub>O from geostationary orbit X. Xi et al. 10.5194/amt-8-4817-2015
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- Intercomparison of XH2O Data from the GOSAT TANSO-FTS (TIR and SWIR) and Ground-Based FTS Measurements: Impact of the Spatial Variability of XH2O on the Intercomparison H. Ohyama et al. 10.3390/rs9010064
- Effects of spectral sampling rate and range of CO2 absorption bands on XCO2 retrieval from TanSat hyperspectral spectrometer Y. Liu et al. 10.1007/s11434-014-0215-8
- A segmentation algorithm for characterizing rise and fall segments in seasonal cycles: an application to XCO<sub>2</sub> to estimate benchmarks and assess model bias L. Calle et al. 10.5194/amt-12-2611-2019
- Region-dependent seasonal pattern of methane over Indian region as observed by SCIAMACHY M. Kavitha & P. Nair 10.1016/j.atmosenv.2016.02.008
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- Monitoring Greenhouse Gases in the Open Atmosphere by the Fourier Spectroscopy Method I. Golyak et al. 10.1134/S1990793123020264
- The Adaptable 4A Inversion (5AI): description and first <i>X</i><sub>CO<sub>2</sub></sub> retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations M. Dogniaux et al. 10.5194/amt-14-4689-2021
- Biogenic link to the recent increase in atmospheric methane over India A. Singh et al. 10.1016/j.jenvman.2021.112526
- A simple and quick sensitivity analysis method for methane isotopologues detection with GOSAT-TANSO-FTS E. Malina et al. 10.14324/111.444/ucloe.000013
- Non-homogeneous vertical distribution of methane over Indian region using surface, aircraft and satellite based data M. Kavitha & P. Nair 10.1016/j.atmosenv.2016.06.068
- Comparisons of satellite (GOSAT) and ground-based Fourier spectroscopic measurements of methane content near St. Petersburg M. Makarova et al. 10.1134/S0001433814090138
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- Seasonal and inter-annual variability of atmosphere CO2 based on NOAA Carbon Tracker analysis and satellite observations M. Krishnapriya et al. 10.1007/s12524-017-0688-4
- Anomalous carbon uptake in Australia as seen by GOSAT R. Detmers et al. 10.1002/2015GL065161
- On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases E. Malina et al. 10.5194/amt-15-2377-2022
- China’s sizeable and uncertain carbon sink: a perspective from GOSAT L. Zhang et al. 10.1007/s11434-014-0260-3
- Analysis of Long-Range Transport of Carbon Dioxide and Its High Concentration Events over East Asian Region Using GOSAT Data and GEOS-Chem Modeling S. Kim et al. 10.1155/2015/680264
- Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia F. Mustafa et al. 10.3390/rs12152498
- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. 10.3390/atmos15040449
- Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm Y. Someya et al. 10.5194/amt-16-1477-2023
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- A high-precision retrieval method for methane vertical profiles based on dual-band spectral data from the GOSAT satellite L. Li et al. 10.1016/j.atmosenv.2023.120183
- First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy X. Hong et al. 10.1016/j.rse.2024.114053
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- Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements S. Wang et al. 10.3390/rs12142204
- Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis S. Sanghavi et al. 10.1016/j.rse.2020.112053
- Multistation intercomparison of column-averaged methane from NDACC and TCCON: impact of dynamical variability A. Ostler et al. 10.5194/amt-7-4081-2014
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- A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification T. Yue et al. 10.1016/j.jclepro.2014.08.080
- Spectral calibration of the MethaneAIR instrument C. Staebell et al. 10.5194/amt-14-3737-2021
- Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data T. Trieu et al. 10.1080/01431161.2022.2038395
- Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH<sub>4</sub> data with weak-constraint four-dimensional variational data assimilation I. Stanevich et al. 10.5194/acp-21-9545-2021
- Remote sensing of near-infrared chlorophyll fluorescence from space in scattering atmospheres: implications for its retrieval and interferences with atmospheric CO<sub>2</sub> retrievals C. Frankenberg et al. 10.5194/amt-5-2081-2012
- What controls the seasonal cycle of columnar methane observed by GOSAT over different regions in India? N. Chandra et al. 10.5194/acp-17-12633-2017
- Carbon emissions in the field of land use, land use change, and forestry in the Vietnam mainland L. Hung et al. 10.1007/s11273-021-09789-6
- A correlation analysis of monthly mean CO2 retrieved from the Atmospheric Infrared Sounder with surface station measurements C. Zhou et al. 10.1080/01431161.2013.847295
- Satellite‐derived estimations of spatial and seasonal variation in tropospheric carbon dioxide mass over China Y. Xu et al. 10.1002/ece3.823
- Spatial-temporal variation in XCH4 during 2009–2021 and its driving factors across the land of the Northern Hemisphere X. Cao et al. 10.1016/j.atmosres.2023.106811
- Cross-Correlation Analysis between GOSAT and CO2Concentration Observed by the KGAWC Station J. Choi et al. 10.7319/kogsis.2014.22.2.011
- An airborne amplitude-modulated 1.57 μm differential laser absorption spectrometer: simultaneous measurement of partial column-averaged dry air mixing ratio of CO<sub>2</sub> and target range D. Sakaizawa et al. 10.5194/amt-6-387-2013
- XCO2 satellite retrieval experiments in short-wave infrared spectrum and ground-based validation M. Zhou et al. 10.1007/s11430-015-5080-z
- Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO<sub>2</sub> and CH<sub>4</sub> retrieval errors by error parameterization M. Buchwitz et al. 10.5194/amt-6-3477-2013
- Methane cross-validation between three Fourier transform spectrometers: SCISAT ACE-FTS, GOSAT TANSO-FTS, and ground-based FTS measurements in the Canadian high Arctic G. Holl et al. 10.5194/amt-9-1961-2016
- Challenges in the atmospheric characterization for the retrieval of spectrally resolved fluorescence and PRI region dynamics from space N. Sabater et al. 10.1016/j.rse.2020.112226
- Comparison of improved Aura Tropospheric Emission Spectrometer CO<sub>2</sub> with HIPPO and SGP aircraft profile measurements S. Kulawik et al. 10.5194/acp-13-3205-2013
- A semitransparent snake-like tactile and olfactory bionic sensor with reversibly stretchable properties G. Cai et al. 10.1038/am.2017.181
- On recent (2008–2012) stratospheric aerosols observed by lidar over Japan O. Uchino et al. 10.5194/acp-12-11975-2012
- Radiative transfer modeling of atmospheric methane for satellite measurements in the 1.66 micron spectral window P. Prasad et al. 10.1177/0967033518783208
- Level 1 algorithms for TANSO on GOSAT: processing and on-orbit calibrations A. Kuze et al. 10.5194/amt-5-2447-2012
- Airborne measurements of atmospheric methane column abundance using a pulsed integrated-path differential absorption lidar H. Riris et al. 10.1364/AO.51.008296
- A study of synthetic <sup>13</sup>CH<sub>4</sub> retrievals from TROPOMI and Sentinel-5/UVNS E. Malina et al. 10.5194/amt-12-6273-2019
- Atmospheric CO2 column concentration over Iran: Emissions, GOSAT satellite observations, and WRF-GHG model simulations S. Karbasi et al. 10.1016/j.atmosres.2024.107818
- A new approach to spectral line shapes of the weak oxygen transitions for atmospheric applications J. Domysławska et al. 10.1016/j.jqsrt.2015.10.019
- A joint effort to deliver satellite retrieved atmospheric CO<sub>2</sub> concentrations for surface flux inversions: the ensemble median algorithm EMMA M. Reuter et al. 10.5194/acp-13-1771-2013
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
- Radiometric Comparison of 1.6-μm CO2 Absorption Band of Greenhouse Gases Observing Satellite (GOSAT) TANSO-FTS with Suomi-NPP VIIRS SWIR Band S. Uprety & C. Cao 10.1175/JTECH-D-15-0157.1
- A high-level cloud detection method utilizing the GOSAT TANSO-FTS water vapor saturated band N. Eguchi & Y. Yoshida 10.5194/amt-12-389-2019
- Comparison of XCH4 Derived from g-b FTS and GOSAT and Evaluation Using Aircraft In-Situ Observations over TCCON Site S. Kenea et al. 10.1007/s13143-019-00105-0
- Regional CO<sub>2</sub> flux estimates for 2009–2010 based on GOSAT and ground-based CO<sub>2</sub> observations S. Maksyutov et al. 10.5194/acp-13-9351-2013
- Variations in Column Concentration of Greenhouse Gases in China and Their Response to the 2015–2016 El Niño Event N. Liu et al. 10.1007/s13351-024-3160-8
- Мониторинг парниковых газов в открытой атмосфере методом фурье-спектроскопии И. Голяк et al. 10.31857/S0207401X23040088
- Characterizing the regional XCO2 variability and its association with ENSO over India inferred from GOSAT and OCO-2 satellite observations C. Das et al. 10.1016/j.scitotenv.2023.166176
- The status and development proposal of carbon sources and sinks monitoring satellite system G. Meng et al. 10.1007/s43979-022-00033-5
- Airborne Measurements of CO2 Column Concentration and Range Using a Pulsed Direct-Detection IPDA Lidar J. Abshire et al. 10.3390/rs6010443
- Estimating CO2 concentration during the growing season from MODIS and GOSAT in East Asia M. Guo et al. 10.1080/01431161.2015.1081305
- Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements Y. Jing et al. 10.3390/atmos9050175
- Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network E. Dupuy et al. 10.3390/rs8050414
- Effect of air composition (N<sub>2</sub>, O<sub>2</sub>, Ar, and H<sub>2</sub>O) on CO<sub>2</sub> and CH<sub>4</sub> measurement by wavelength-scanned cavity ring-down spectroscopy: calibration and measurement strategy H. Nara et al. 10.5194/amt-5-2689-2012
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- Spatial and Temporal Distributions of Atmospheric CO2 in East China Based on Data from Three Satellites B. Li et al. 10.1007/s00376-020-0123-6
- Spatial analysis of resources and environmental carrying capacity in Iran H. Karami et al. 10.1111/1477-8947.12270
- Remote sensing of angular scattering effect of aerosols in a North American megacity Z. Zeng et al. 10.1016/j.rse.2020.111760
- A long-term global XCO2 dataset: Ensemble of satellite products C. Jin et al. 10.1016/j.atmosres.2022.106385
- Inverse Modeling of CO<sub>2</sub> Fluxes Using GOSAT Data and Multi-Year Ground-Based Observations T. Saeki et al. 10.2151/sola.2013-011
- TransCom model simulations of CH<sub>4</sub> and related species: linking transport, surface flux and chemical loss with CH<sub>4</sub> variability in the troposphere and lower stratosphere P. Patra et al. 10.5194/acp-11-12813-2011
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- Assessing accuracy and precision for space‐based measurements of carbon dioxide: An associated statistical methodology revisited Z. Su et al. 10.1002/2016EA000228
- Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing Z. Bao et al. 10.3390/rs12183063
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- Testing the Polarization Model for TANSO-FTS on GOSAT Against Clear-Sky Observations of Sun Glint Over the Ocean D. O'Brien et al. 10.1109/TGRS.2012.2232673
- Carbon Dioxide and Methane at a Desert Site—A Case Study at Railroad Valley Playa, Nevada, USA E. Yates et al. 10.3390/atmos2040702
- Methane retrievals from Greenhouse Gases Observing Satellite (GOSAT) shortwave infrared measurements: Performance comparison of proxy and physics retrieval algorithms D. Schepers et al. 10.1029/2012JD017549
- The ACOS CO<sub>2</sub> retrieval algorithm – Part 1: Description and validation against synthetic observations C. O'Dell et al. 10.5194/amt-5-99-2012
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- A Comparison of <italic>In Situ</italic> Aircraft Measurements of Carbon Dioxide and Methane to GOSAT Data Measured Over Railroad Valley Playa, Nevada, USA J. Tadic et al. 10.1109/TGRS.2014.2318201
- The Global Spatiotemporal Distribution of the Mid-Tropospheric CO2 Concentration and Analysis of the Controlling Factors L. Cao et al. 10.3390/rs11010094
- Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China Z. He et al. 10.3390/rs12040718
- New approach to evaluate satellite-derived XCO<sub>2</sub> over oceans by integrating ship and aircraft observations A. Müller et al. 10.5194/acp-21-8255-2021
- An 11-year record of XCO<sub>2</sub> estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. 10.5194/essd-14-325-2022
- First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer B. Kim et al. 10.5194/amt-17-453-2024
- Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and Sentinel-2 Data G. Calassou et al. 10.3390/rs13101865
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- Airborne measurements of CO2 column absorption and range using a pulsed direct-detection integrated path differential absorption lidar J. Abshire et al. 10.1364/AO.52.004446
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- Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010–2012) A. Deng et al. 10.3390/atmos7090109
- Comparisons between XCH<sub>4</sub> from GOSAT Shortwave and Thermal Infrared Spectra and Aircraft CH<sub>4</sub> Measurements over Guam N. Saitoh et al. 10.2151/sola.2012-036
- Optimization of the OCO-2 Cloud Screening Algorithm and Evaluation against MODIS and TCCON Measurements over Land Surfaces in Europe and Japan S. Chen et al. 10.1007/s00376-020-9160-4
- Comparison of carbon dioxide volume mixing ratios measured by GOSAT TANSO-FTS and TCCON over two sites in East Asia H. Hong et al. 10.7780/kjrs.2013.29.6.8
- CO2 retrieval model and analysis in short-wave infrared spectrum Y. Li et al. 10.1016/j.ijleo.2016.01.144
- Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals C. Shim et al. 10.5572/ajae.2011.5.4.263
- Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements L. Wu et al. 10.5194/amt-11-3111-2018
- Analysis of XCO2 retrieval sensitivity using simulated Chinese Carbon Satellite (TanSat) measurements Z. Cai et al. 10.1007/s11430-013-4707-1
- Atmospheric column-averaged mole fractions of carbon dioxide at 53 aircraft measurement sites Y. Miyamoto et al. 10.5194/acp-13-5265-2013
- Interpreting Temporal Changes of Atmospheric CO2Over Fire Affected Regions Based on GOSAT Observations Y. Shi et al. 10.1109/LGRS.2016.2627056
- Aircraft measurements of carbon dioxide and methane for the calibration of ground-based high-resolution Fourier Transform Spectrometers and a comparison to GOSAT data measured over Tsukuba and Moshiri T. Tanaka et al. 10.5194/amt-5-2003-2012
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- Hyperspectral radiative transfer modeling to explore the combined retrieval of biophysical parameters and canopy fluorescence from FLEX – Sentinel-3 tandem mission multi-sensor data W. Verhoef et al. 10.1016/j.rse.2017.08.006
- Modelling of XCO2 Surfaces Based on Flight Tests of TanSat Instruments L. Zhang et al. 10.3390/s16111818
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- The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview, instrument description, and results from the first flight H. Suto et al. 10.1186/s13021-024-00273-1
- High-resolution GEOS-Chem model for Indian monsoon region: Seasonal cycle and budget of tropospheric CO2 S. Allahudheen et al. 10.1016/j.atmosenv.2023.119913
- Retrieved XCO2 Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission J. Ke et al. 10.3390/atmos13091384
- Improvement of Cloud-data Filtering Method Using Spectrum of AERI J. Cho et al. 10.7780/kjrs.2015.31.2.8
- Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method Y. Chen et al. 10.3390/rs14225635
- Application of a probability density function-based atmospheric light-scattering correction to carbon dioxide retrievals from GOSAT over-sea observations A. Bril et al. 10.1016/j.rse.2011.10.005
- Optimization of the Photon Path Length Probability Density Function-Simultaneous (PPDF-S) Method and Evaluation of CO2 Retrieval Performance Under Dense Aerosol Conditions C. Iwasaki et al. 10.3390/s19051262
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
- Improvement of the retrieval algorithm for GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> and their validation using TCCON data Y. Yoshida et al. 10.5194/amt-6-1533-2013
- Greenhouse gas emissions from soils—A review C. Oertel et al. 10.1016/j.chemer.2016.04.002
- Comparison of GOSAT SWIR and Aircraft Measurements of XCH<sub>4</sub> over West Siberia A. Ono et al. 10.2151/sola.2015-036
- Algorithm update of the GOSAT/TANSO-FTS thermal infrared CO<sub>2</sub> product (version 1) and validation of the UTLS CO<sub>2</sub> data using CONTRAIL measurements N. Saitoh et al. 10.5194/amt-9-2119-2016
- Bias assessment of lower and middle tropospheric CO<sub>2</sub> concentrations of GOSAT/TANSO-FTS TIR version 1 product N. Saitoh et al. 10.5194/amt-10-3877-2017
- A Coupled BRDF CO2 Retrieval Method for the GF-5 GMI and Improvements in the Correction of Atmospheric Scattering H. Ye et al. 10.3390/rs14030488
- Sensitivity analysis of an XCO2 retrieval algorithm for high-resolution short-wave infrared spectra P. Rong et al. 10.1016/j.ijleo.2020.164502
- A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption D. Liu et al. 10.3390/atmos6111695
- Intercomparison of Remote Sensing Retrievals: An Examination of Prior-Induced Biases in Averaging Kernel Corrections H. Nguyen & J. Hobbs 10.3390/rs12193239
- Atmospheric gas-phase composition over the Indian Ocean S. Tegtmeier et al. 10.5194/acp-22-6625-2022
- The New Potential of Deep Convective Clouds as a Calibration Target for a Geostationary UV/VIS Hyperspectral Spectrometer Y. Lee et al. 10.3390/rs12030446
- Methane and carbon dioxide total column retrievals from cloudy GOSAT soundings over the oceans D. Schepers et al. 10.1002/2015JD023389
- Fast-switching methane lidar transmitter based on a seeded optical parametric oscillator K. Numata et al. 10.1007/s00340-014-5783-4
- The Significance of Fast Radiative Transfer for Hyperspectral SWIR XCO2 Retrievals P. Somkuti et al. 10.3390/atmos11111219
- Detection of Absorbing Aerosol Using Single Near-UV Radiance Measurements from a Cloud and Aerosol Imager S. Go et al. 10.3390/rs9040378
- XCO2 retrieval algorithm in short-wave infrared spectrum and validation with TCCON data Y. Li et al. 10.1016/j.ijleo.2016.04.074
- Comparisons of CH<sub>4</sub> ground-based FTIR measurements near Saint Petersburg with GOSAT observations N. Gavrilov et al. 10.5194/amt-7-1003-2014
- A physics-based approach to oversample multi-satellite, multispecies observations to a common grid K. Sun et al. 10.5194/amt-11-6679-2018
- The use of the 1.27 µm O2 absorption band for greenhouse gas monitoring from space and application to MicroCarb J. Bertaux et al. 10.5194/amt-13-3329-2020
- 大气甲烷卫星传感器和遥感算法研究综述 何. He Zhuo et al. 10.3788/AOS230429
- Large Increase in Atmospheric Methane over West Siberian Wetlands during Summer Detected from Space Y. Someya et al. 10.2151/sola.2020-027
- Multi-Year Comparison of Carbon Dioxide from Satellite Data with Ground-Based FTS Measurements (2003–2011) R. Miao et al. 10.3390/rs5073431
- Preliminary validation of column-averaged volume mixing ratios of carbon dioxide and methane retrieved from GOSAT short-wavelength infrared spectra I. Morino et al. 10.5194/amt-4-1061-2011
- Diurnal and Seasonal Variations of Carbon Dioxide (CO2) Concentration in Urban, Suburban, and Rural Areas around Tokyo R. Imasu & Y. Tanabe 10.3390/atmos9100367
- A simple empirical model estimating atmospheric CO<sub>2</sub> background concentrations M. Reuter et al. 10.5194/amt-5-1349-2012
- Column-averaged CO2 concentrations in the subarctic from GOSAT retrievals and NIES transport model simulations D. Belikov et al. 10.1016/j.polar.2014.02.002
- Validation of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> Retrieved by PPDF-S Method and Comparison with Full Physics Method C. Iwasaki et al. 10.2151/sola.2017-031
- Airborne measurements of CO<sub>2</sub> column concentrations made with a pulsed IPDA lidar using a multiple-wavelength-locked laser and HgCdTe APD detector J. Abshire et al. 10.5194/amt-11-2001-2018
- On the zero-level offset in the GOSAT TANSO-FTS O<sub>2</sub> A band and the quality of solar-induced chlorophyll fluorescence (SIF): comparison of SIF between GOSAT and OCO-2 H. Oshio et al. 10.5194/amt-12-6721-2019
- How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
- Space- and ground-based CO2 measurements: A review T. Yue et al. 10.1007/s11430-015-0239-7
- Spatiotemporal Investigation of Near-Surface CO2 and Its Affecting Factors Over Asia F. Mustafa et al. 10.1109/TGRS.2022.3178125
- XCO2 satellite retrieval experiments in short-wave and infrared spectra with SCIATRAN model for Sahara Desert Y. Li et al. 10.1007/s11430-015-0198-x
- Calibration, Level 1 Processing, and Radiometric Validation for TANSO-FTS TIR on GOSAT F. Kataoka et al. 10.1109/TGRS.2018.2885162
- Non-Lambertian snow surface reflection models for simulated top-of-the-atmosphere radiances in the NIR and SWIR wavelengths A. Mikkonen et al. 10.1016/j.jqsrt.2023.108892
- Investigation of seasonal variability of atmospheric columnar CO2 over India in relation to environmental parameters using OCO-2 observation and vertical redistribution model B. Raychaudhuri & S. Roy 10.1080/01431161.2020.1832281
- The Greenhouse Gas Climate Change Initiative (GHG-CCI): Comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets M. Buchwitz et al. 10.1016/j.rse.2013.04.024
- Combining XCO2 Measurements Derived from SCIAMACHY and GOSAT for Potentially Generating Global CO2 Maps with High Spatiotemporal Resolution T. Wang et al. 10.1371/journal.pone.0105050
- A differential optical absorption spectroscopy method for $${X_{CO_2}}$$ retrieval from ground-based Fourier transform spectrometers measurements of the direct solar beam Y. Huo et al. 10.1007/s00376-015-4213-9
- Error analysis of the greenhouse-gases monitor instrument short wave infrared XCO2 retrieval algorithm H. Wu 10.1117/1.JRS.12.016015
- Multispectral information from TANSO-FTS instrument – Part 2: Application to aerosol effect on greenhouse gas retrievals H. Herbin et al. 10.5194/amt-6-3313-2013
- Numerical analysis of CH4 concentration distributions over East Asia with a regional chemical transport model L. Qin et al. 10.1016/j.atmosenv.2023.120207
- Performance evaluation of a 16-µm methane DIAL system from ground, aircraft and UAV platforms T. Refaat et al. 10.1364/OE.21.030415
- Retrieval of Global Carbon Dioxide From TanSat Satellite and Comprehensive Validation With TCCON Measurements and Satellite Observations X. Hong et al. 10.1109/TGRS.2021.3066623
- An Assessment of Anthropogenic CO2 Emissions by Satellite-Based Observations in China S. Yang et al. 10.3390/s19051118
- Regional Methane Emission Estimation Based on Observed Atmospheric Concentrations (2002-2012) P. PATRA et al. 10.2151/jmsj.2016-006
- Numerical modeling of ozone damage to plants and its effects on atmospheric CO2 in China X. Xie et al. 10.1016/j.atmosenv.2019.116970
- An improved constraint method in optimal estimation of CO2 from GOSAT SWIR observations M. Zou et al. 10.1007/s11430-015-0247-9
- Difference between forward- and backward-looking bands of GOSAT-2 CAI-2 cloud discrimination used with Terra MISR data Y. Oishi et al. 10.1080/2150704X.2016.1145822
- On-orbit radiometric calibration of SWIR bands of TANSO-FTS onboard GOSAT Y. Yoshida et al. 10.5194/amt-5-2515-2012
- A study of the validation of atmospheric CO2 from satellite hyper spectral remote sensing M. Zhang et al. 10.1016/j.accre.2014.11.002
- SCIAMACHY WFM-DOAS <i>X</i>CO<sub>2</sub>: reduction of scattering related errors J. Heymann et al. 10.5194/amt-5-2375-2012
- Potential improvement of XCO 2 retrieval of the OCO-2 by having aerosol information from the A-train satellites J. Hong et al. 10.1080/15481603.2023.2209968
- A high-accuracy method for simulating the XCO2 global distribution using GOSAT retrieval data M. Zhao et al. 10.1007/s11430-016-0069-7
- Analysis of methane total column variations in the atmosphere near St. Petersburg using ground-based measurements and simulations M. Makarova et al. 10.1134/S0001433815010089
- Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research Y. Kong et al. 10.3390/atmos10070354
- Evaluating the performance of carbon dioxide and methane observations from carbon-monitoring satellite products over China X. Hong et al. 10.1016/j.scitotenv.2024.176896
- A Theoretical Analysis for Improving Aerosol-Induced CO2 Retrieval Uncertainties Over Land Based on TanSat Nadir Observations Under Clear Sky Conditions X. Chen et al. 10.3390/rs11091061
- Consistent satellite XCO<sub>2</sub> retrievals from SCIAMACHY and GOSAT using the BESD algorithm J. Heymann et al. 10.5194/amt-8-2961-2015
- Reevaluating the Use of O2 a1Δg Band in Spaceborne Remote Sensing of Greenhouse Gases K. Sun et al. 10.1029/2018GL077823
- Using ocean-glint scattered sunlight as a diagnostic tool for satellite remote sensing of greenhouse gases A. Butz et al. 10.5194/amt-6-2509-2013
- Simultaneous retrieval of atmospheric CO2 and light path modification from space-based spectroscopic observations of greenhouse gases: methodology and application to GOSAT measurements over TCCON sites S. Oshchepkov et al. 10.1364/AO.52.001339
- Evaluation and attribution of OCO-2 XCO<sub>2</sub> uncertainties J. Worden et al. 10.5194/amt-10-2759-2017
- Multispectral information from TANSO-FTS instrument – Part 1: Application to greenhouse gases (CO<sub>2</sub> and CH<sub>4</sub>) in clear sky conditions H. Herbin et al. 10.5194/amt-6-3301-2013
- Ship- and aircraft-based XCH4 over oceans as a new tool for satellite validation A. Müller et al. 10.5194/amt-17-1297-2024
- High resolution inventory of atmospheric emissions from livestock production, agriculture, and biomass burning sectors of Argentina S. Puliafito et al. 10.1016/j.atmosenv.2019.117248
- Regional scale variations of atmospheric CO2and CH4from satellite observation F. Ru et al. 10.1088/1755-1315/17/1/012022
- Modification of Fraser’s Method for the Atmospheric CO2 Mass Estimation by Using Satellite Data M. Pellegrini et al. 10.3390/atmos13060866
- Spatial and temporal change patterns of near-surface CO2 and CH4 concentrations in different permafrost regions on the Mongolian Plateau from 2010 to 2017 S. Adiya et al. 10.1016/j.scitotenv.2021.149433
- Orbiting Carbon Observatory-2 (OCO-2) cloud screening algorithms: validation against collocated MODIS and CALIOP data T. Taylor et al. 10.5194/amt-9-973-2016
- Use of a process-based model for assessing the methane budgets of global terrestrial ecosystems and evaluation of uncertainty A. Ito & M. Inatomi 10.5194/bg-9-759-2012
- Thermal and near-infrared sensor for carbon observation Fourier transform spectrometer-2 (TANSO-FTS-2) on the Greenhouse gases Observing SATellite-2 (GOSAT-2) during its first year in orbit H. Suto et al. 10.5194/amt-14-2013-2021
- Atmospheric ammonia retrieval from the TANSO-FTS/GOSAT thermal infrared sounder Y. Someya et al. 10.5194/amt-13-309-2020
- Comparison of Column-Averaged Volume Mixing Ratios of Carbon Dioxide Retrieved From IASI/METOP-A Using KLIMA Algorithm and TANSO-FTS/GOSAT Level 2 Products L. Laurenza et al. 10.1109/JSTARS.2013.2276125
- CO 2 line-mixing database and software update and its tests in the 2.1 μm and 4.3 μm regions J. Lamouroux et al. 10.1016/j.jqsrt.2014.09.017
- The retrieval algorithm for a satellite-borne CO2-sounder: Preliminary results in near infrared band D. Liu et al. 10.1016/j.ijleo.2016.06.072
- Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
- The GeoCarb greenhouse gas retrieval algorithm: simulations and sensitivity to sources of uncertainty G. McGarragh et al. 10.5194/amt-17-1091-2024
- Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT S. Lee et al. 10.3390/rs9070687
- Comparison of atmospheric CO2 mole fractions and source–sink characteristics at four WMO/GAW stations in China S. Cheng et al. 10.1016/j.atmosenv.2018.03.010
- Retrieval of atmospheric CH4profiles from Fourier transform infrared data using dimension reduction and MCMC S. Tukiainen et al. 10.1002/2015JD024657
- Greenhouse Gases Monitoring Instrument on GaoFen-5 Satellite-II: Optical Design and Evaluation H. Luo et al. 10.3390/rs15041105
- Retrievals of Total and Tropospheric Ozone From GOSAT Thermal Infrared Spectral Radiances H. Ohyama et al. 10.1109/TGRS.2011.2170178
- Quantification of uncertainties in OCO-2 measurements of XCO<sub>2</sub>: simulations and linear error analysis B. Connor et al. 10.5194/amt-9-5227-2016
- Analysis of the carbon dioxide concentration in the lowest atmospheric layers and the factors affecting China based on satellite observations Y. Hou et al. 10.1080/01431161.2012.730159
- Interpreting seasonal changes of low-tropospheric CO 2 over China based on SCIAMACHY observations during 2003–2011 W. Xi et al. 10.1016/j.atmosenv.2014.12.053
- Estimation of national sources and sinks of greenhouse gases based on satellite observations N. Zanaty et al. 10.1016/j.ejrs.2023.11.012
- Variations in Surface Concentrations and Total Column of CO<sub>2</sub> and CH<sub>4</sub> in the Central Part of the European Territory of Russia K. Visheratin et al. 10.31857/S0002351523020086
- TransCom satellite intercomparison experiment: Construction of a bias corrected atmospheric CO2climatology R. Saito et al. 10.1029/2011JD016033
- Global high-resolution simulations of CO<sub>2</sub> and CH<sub>4</sub> using a NIES transport model to produce a priori concentrations for use in satellite data retrievals T. Saeki et al. 10.5194/gmd-6-81-2013
- An Efficient Algorithm for Retrieving CO2 in the Atmosphere From Hyperspectral Measurements of Satellites: Application of NLS-4DVar Data Assimilation Method Z. Jin et al. 10.3389/feart.2021.688542
- Predicting Neighborhood-Level Residential Carbon Emissions from Street View Images Using Computer Vision and Machine Learning W. Shi et al. 10.3390/rs16081312
- Effect of continental sources and sinks on the seasonal and latitudinal gradient of atmospheric carbon dioxide over East Asia C. Shim et al. 10.1016/j.atmosenv.2013.07.055
- Retrieval and validation of carbon dioxide, methane and water vapor for the Canary Islands IR-laser occultation experiment V. Proschek et al. 10.5194/amt-8-3315-2015
- Impact of ENSO on variability of global CO2 concentration retrievals from GOSAT and AIRS N. Ying & Q. Ye 10.1088/1755-1315/237/2/022009
- Application of Seasonal AERI Reference Spectrum for the Improvement of Cloud data Filtering Method J. Cho et al. 10.7780/kjrs.2015.31.5.5
- Evaluating Radiometric Responsivity Degradations of TANSO-FTS/GOSAT Using Principal Component Analysis Y. Someya & Y. Yoshida 10.1175/JTECH-D-19-0224.1
- Inverse modeling of CO<sub>2</sub> sources and sinks using satellite observations of CO<sub>2</sub> from TES and surface flask measurements R. Nassar et al. 10.5194/acp-11-6029-2011
- Toward accurate CO2and CH4observations from GOSAT A. Butz et al. 10.1029/2011GL047888
- Vertical Profile of Ozone Derived from Combined MLS and TES Satellite Observations J. Liu et al. 10.3390/rs14071588
- Study of mid-latitude retrieval XCO2 greenhouse gas: Validation of satellite-based shortwave infrared spectroscopy with ground-based TCCON observations S. Karbasi et al. 10.1016/j.scitotenv.2022.155513
- Examining the Role of the Main Terrestrial Factors Won the Seasonal Distribution of Atmospheric Carbon Dioxide Concentration over Iran S. Mousavi et al. 10.1007/s12524-022-01650-4
- Methodological progress in the measurement of agricultural greenhouse gases N. Mumu et al. 10.1080/17583004.2024.2366527
- Inverse modelling of CH<sub>4</sub> emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY M. Alexe et al. 10.5194/acp-15-113-2015
- Assessment of seasonal variations of carbon dioxide concentration in Iran using GOSAT data S. Mousavi et al. 10.1111/1477-8947.12121
- Two-Year Comparison of Airborne Measurements of CO2 and CH4 With GOSAT at Railroad Valley, Nevada T. Tanaka et al. 10.1109/TGRS.2016.2539973
- Comparisons of satellite (GOSAT) and ground-based spectroscopic measurements of CO2 content near St. Petersburg N. Gavrilov & Y. Timofeev 10.1134/S0001433814090084
- Systematics of atmospheric environment monitoring in China via satellite remote sensing Z. Wang et al. 10.1007/s11869-020-00922-7
- Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data K. Li et al. 10.1016/j.rse.2024.114039
- Quantification and evaluation of atmospheric emissions from crop residue burning constrained by satellite observations in China during 2016–2020 X. Hong et al. 10.1016/j.scitotenv.2022.161237
- AIRS retrieved CO2 and its association with climatic parameters over India during 2004–2011 K. Kumar et al. 10.1016/j.scitotenv.2013.12.118
- Development of a balloon-borne instrument for CO<sub>2</sub> vertical profile observations in the troposphere M. Ouchi et al. 10.5194/amt-12-5639-2019
- Comparison of CH4 inversions based on 15 months of GOSAT and SCIAMACHY observations G. Monteil et al. 10.1002/2013JD019760
- EOF-based regression algorithm for the fast retrieval of atmospheric CO2 total column amount from the GOSAT observations А. Bril et al. 10.1016/j.jqsrt.2016.12.005
- Satellite Monitoring of Anomalous Wildfires in Australia V. Bondur et al. 10.3389/feart.2020.617252
- Spectroscopic techniques conceptualized with the remote sensing of atmospheric carbon dioxide and other greenhouse gases B. Raychaudhuri 10.1080/05704928.2024.2326527
- CO<sub>2</sub> Retrieval Using Thermal Infrared Radiation Observation by Interferometric Monitor for Greenhouse Gases (IMG) Onboard Advanced Earth Observing Satellite (ADEOS) Y. OTA & R. IMASU 10.2151/jmsj.2016-027
- Calibration of the Greenhouse Gas Monitoring Instrument (GMI) Based on a Digital Calibration Field Network H. Shi et al. 10.3390/rs15020373
- Influence of aerosols and thin cirrus clouds on the GOSAT-observed CO<sub>2</sub>: a case study over Tsukuba O. Uchino et al. 10.5194/acp-12-3393-2012
- Detection of marine methane emissions with AVIRIS band ratios E. Bradley et al. 10.1029/2011GL046729
- Comparative analysis of land, marine, and satellite observations of methane in the lower Atmosphere in the Russian Arctic under conditions of climate change O. Anisimov & V. Kokorev 10.1134/S0001433815090030
- A very high-resolution (1 km×1 km) global fossil fuel CO<sub>2</sub> emission inventory derived using a point source database and satellite observations of nighttime lights T. Oda & S. Maksyutov 10.5194/acp-11-543-2011
- Comparison of Cloud-Screening Methods Applied to GOSAT Near-Infrared Spectra T. Taylor et al. 10.1109/TGRS.2011.2160270
- First observations of global and seasonal terrestrial chlorophyll fluorescence from space J. Joiner et al. 10.5194/bg-8-637-2011
- Spatial and temporal distribution of carbon dioxide gas using GOSAT data over IRAN S. Falahatkar et al. 10.1007/s10661-017-6285-8
- Detection of optical path in spectroscopic space-based observations of greenhouse gases: Application to GOSAT data processing S. Oshchepkov et al. 10.1029/2010JD015352
- Analyzing CO2 concentration changes and their influencing factors in Indonesia by OCO-2 and other multi-sensor remote-sensing data S. Yin et al. 10.1080/17538947.2017.1359344
272 citations as recorded by crossref.
- Mapping Global Atmospheric CO2 Concentration at High Spatiotemporal Resolution Y. Jing et al. 10.3390/atmos5040870
- Review of Satellite Remote Sensing of Carbon Dioxide Inversion and Assimilation K. Hu et al. 10.3390/rs16183394
- On the Benefit of GOSAT Observations to the Estimation of Regional CO<sub>2</sub> Fluxes H. Takagi et al. 10.2151/sola.2011-041
- Geostatistical Analysis of CH4 Columns over Monsoon Asia Using Five Years of GOSAT Observations M. Liu et al. 10.3390/rs8050361
- Advancements in theory of GHG observation from space Y. Liu & D. Yang 10.1007/s11434-016-1022-1
- Greenhouse gases Observing SATellite 2 (GOSAT-2): mission overview R. Imasu et al. 10.1186/s40645-023-00562-2
- Satellite- and ground-based measurements of CO2 over the Indian region: its seasonal dependencies, spatial variability, and model estimates K. Nalini et al. 10.1080/01431161.2018.1479787
- A retrieval algorithm for TanSat XCO2 observation: Retrieval experiments using GOSAT data Y. Liu et al. 10.1007/s11434-013-5680-y
- Long-Term Vicarious Calibration of GOSAT Short-Wave Sensors: Techniques for Error Reduction and New Estimates of Radiometric Degradation Factors A. Kuze et al. 10.1109/TGRS.2013.2278696
- Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals E. Kivimäki et al. 10.3390/rs11070882
- HDO/H<sub>2</sub>O ratio retrievals from GOSAT H. Boesch et al. 10.5194/amt-6-599-2013
- High resolution temporal profiles in the Emissions Database for Global Atmospheric Research M. Crippa et al. 10.1038/s41597-020-0462-2
- Validation of XCH<sub>4</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data M. Inoue et al. 10.5194/amt-7-2987-2014
- The ACOS CO<sub>2</sub> retrieval algorithm – Part II: Global X<sub>CO<sub>2</sub></sub> data characterization D. Crisp et al. 10.5194/amt-5-687-2012
- Characterization and correction of spectral distortions induced by microvibrations onboard the GOSAT Fourier transform spectrometer H. Suto et al. 10.1364/AO.52.004969
- Short-Wave Infrared-Sensing Organic Phototransistors with a Triarylamine-Based Polymer Doped with a Lewis Acid-Type Small Molecule C. Lee et al. 10.1021/acsami.1c00472
- Spatiotemporal Analysis of XCO2 and Its Relationship to Urban and Green Areas of China’s Major Southern Cities from Remote Sensing and WRF-Chem Modeling Data from 2010 to 2019 Z. Tan et al. 10.3390/geographies3020013
- Slowdown in China's methane emission growth M. Zhao et al. 10.1093/nsr/nwae223
- Simulated retrievals for the remote sensing of CO<sub>2</sub>, CH<sub>4</sub>, CO, and H<sub>2</sub>O from geostationary orbit X. Xi et al. 10.5194/amt-8-4817-2015
- Spatiotemporal distribution patterns of atmospheric methane using GOSAT data in Iran S. Mousavi & S. Falahatkar 10.1007/s10668-019-00378-5
- Intercomparison of XH2O Data from the GOSAT TANSO-FTS (TIR and SWIR) and Ground-Based FTS Measurements: Impact of the Spatial Variability of XH2O on the Intercomparison H. Ohyama et al. 10.3390/rs9010064
- Effects of spectral sampling rate and range of CO2 absorption bands on XCO2 retrieval from TanSat hyperspectral spectrometer Y. Liu et al. 10.1007/s11434-014-0215-8
- A segmentation algorithm for characterizing rise and fall segments in seasonal cycles: an application to XCO<sub>2</sub> to estimate benchmarks and assess model bias L. Calle et al. 10.5194/amt-12-2611-2019
- Region-dependent seasonal pattern of methane over Indian region as observed by SCIAMACHY M. Kavitha & P. Nair 10.1016/j.atmosenv.2016.02.008
- Greenhouse gas measurements over a 144 km open path in the Canary Islands J. Brooke et al. 10.5194/amt-5-2309-2012
- Monitoring Greenhouse Gases in the Open Atmosphere by the Fourier Spectroscopy Method I. Golyak et al. 10.1134/S1990793123020264
- The Adaptable 4A Inversion (5AI): description and first <i>X</i><sub>CO<sub>2</sub></sub> retrievals from Orbiting Carbon Observatory-2 (OCO-2) observations M. Dogniaux et al. 10.5194/amt-14-4689-2021
- Biogenic link to the recent increase in atmospheric methane over India A. Singh et al. 10.1016/j.jenvman.2021.112526
- A simple and quick sensitivity analysis method for methane isotopologues detection with GOSAT-TANSO-FTS E. Malina et al. 10.14324/111.444/ucloe.000013
- Non-homogeneous vertical distribution of methane over Indian region using surface, aircraft and satellite based data M. Kavitha & P. Nair 10.1016/j.atmosenv.2016.06.068
- Comparisons of satellite (GOSAT) and ground-based Fourier spectroscopic measurements of methane content near St. Petersburg M. Makarova et al. 10.1134/S0001433814090138
- Estimating bias in the OCO-2 retrieval algorithm caused by 3-D radiation scattering from unresolved boundary layer clouds A. Merrelli et al. 10.5194/amt-8-1641-2015
- Seasonal and inter-annual variability of atmosphere CO2 based on NOAA Carbon Tracker analysis and satellite observations M. Krishnapriya et al. 10.1007/s12524-017-0688-4
- Anomalous carbon uptake in Australia as seen by GOSAT R. Detmers et al. 10.1002/2015GL065161
- On the consistency of methane retrievals using the Total Carbon Column Observing Network (TCCON) and multiple spectroscopic databases E. Malina et al. 10.5194/amt-15-2377-2022
- China’s sizeable and uncertain carbon sink: a perspective from GOSAT L. Zhang et al. 10.1007/s11434-014-0260-3
- Analysis of Long-Range Transport of Carbon Dioxide and Its High Concentration Events over East Asian Region Using GOSAT Data and GEOS-Chem Modeling S. Kim et al. 10.1155/2015/680264
- Multi-Year Comparison of CO2 Concentration from NOAA Carbon Tracker Reanalysis Model with Data from GOSAT and OCO-2 over Asia F. Mustafa et al. 10.3390/rs12152498
- Methane Retrieval Algorithms Based on Satellite: A Review Y. Jiang et al. 10.3390/atmos15040449
- Update on the GOSAT TANSO–FTS SWIR Level 2 retrieval algorithm Y. Someya et al. 10.5194/amt-16-1477-2023
- An advanced retrieval algorithm for greenhouse gases using polarization information measured by GOSAT TANSO‐FTS SWIR I: Simulation study N. Kikuchi et al. 10.1002/2015JD024720
- Examining the relationships between land cover and greenhouse gas concentrations using remote-sensing data in East Asia M. Guo et al. 10.1080/01431161.2013.775535
- A high-precision retrieval method for methane vertical profiles based on dual-band spectral data from the GOSAT satellite L. Li et al. 10.1016/j.atmosenv.2023.120183
- First TanSat CO2 retrieval over land and ocean using both nadir and glint spectroscopy X. Hong et al. 10.1016/j.rse.2024.114053
- Bias corrections of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> with TCCON data and their evaluation using aircraft measurement data M. Inoue et al. 10.5194/amt-9-3491-2016
- Carbon Dioxide Retrieval from TanSat Observations and Validation with TCCON Measurements S. Wang et al. 10.3390/rs12142204
- Aerosols in OCO-2/GOSAT retrievals of XCO2: An information content and error analysis S. Sanghavi et al. 10.1016/j.rse.2020.112053
- Multistation intercomparison of column-averaged methane from NDACC and TCCON: impact of dynamical variability A. Ostler et al. 10.5194/amt-7-4081-2014
- The Temporal and Spatial Distributions of the Near-Surface CO2 Concentrations in Central Asia and Analysis of Their Controlling Factors L. Cao et al. 10.3390/atmos8050085
- Mapping CH<sub>4</sub> : CO<sub>2</sub> ratios in Los Angeles with CLARS-FTS from Mount Wilson, California K. Wong et al. 10.5194/acp-15-241-2015
- Extending methane profiles from aircraft into the stratosphere for satellite total column validation using the ECMWF C-IFS and TOMCAT/SLIMCAT 3-D model S. Verma et al. 10.5194/acp-17-6663-2017
- Aerosol scattering effects on water vapor retrievals over the Los Angeles Basin Z. Zeng et al. 10.5194/acp-17-2495-2017
- Spatial distribution of greenhouse gas concentrations in arid and semi-arid regions: A case study in East Asia M. Guo et al. 10.1016/j.jaridenv.2013.01.001
- Validation of TANSO-FTS/GOSAT XCO<sub>2</sub> and XCH<sub>4</sub> glint mode retrievals using TCCON data from near-ocean sites M. Zhou et al. 10.5194/amt-9-1415-2016
- A high-accuracy method for filling voids on remotely sensed XCO2 surfaces and its verification T. Yue et al. 10.1016/j.jclepro.2014.08.080
- Spectral calibration of the MethaneAIR instrument C. Staebell et al. 10.5194/amt-14-3737-2021
- Influences of aerosols and thin cirrus clouds on GOSAT XCO2 and XCH4 using Total Carbon Column Observing Network, sky radiometer, and lidar data T. Trieu et al. 10.1080/01431161.2022.2038395
- Characterizing model errors in chemical transport modeling of methane: using GOSAT XCH<sub>4</sub> data with weak-constraint four-dimensional variational data assimilation I. Stanevich et al. 10.5194/acp-21-9545-2021
- Remote sensing of near-infrared chlorophyll fluorescence from space in scattering atmospheres: implications for its retrieval and interferences with atmospheric CO<sub>2</sub> retrievals C. Frankenberg et al. 10.5194/amt-5-2081-2012
- What controls the seasonal cycle of columnar methane observed by GOSAT over different regions in India? N. Chandra et al. 10.5194/acp-17-12633-2017
- Carbon emissions in the field of land use, land use change, and forestry in the Vietnam mainland L. Hung et al. 10.1007/s11273-021-09789-6
- A correlation analysis of monthly mean CO2 retrieved from the Atmospheric Infrared Sounder with surface station measurements C. Zhou et al. 10.1080/01431161.2013.847295
- Satellite‐derived estimations of spatial and seasonal variation in tropospheric carbon dioxide mass over China Y. Xu et al. 10.1002/ece3.823
- Spatial-temporal variation in XCH4 during 2009–2021 and its driving factors across the land of the Northern Hemisphere X. Cao et al. 10.1016/j.atmosres.2023.106811
- Cross-Correlation Analysis between GOSAT and CO2Concentration Observed by the KGAWC Station J. Choi et al. 10.7319/kogsis.2014.22.2.011
- An airborne amplitude-modulated 1.57 μm differential laser absorption spectrometer: simultaneous measurement of partial column-averaged dry air mixing ratio of CO<sub>2</sub> and target range D. Sakaizawa et al. 10.5194/amt-6-387-2013
- XCO2 satellite retrieval experiments in short-wave infrared spectrum and ground-based validation M. Zhou et al. 10.1007/s11430-015-5080-z
- Carbon Monitoring Satellite (CarbonSat): assessment of atmospheric CO<sub>2</sub> and CH<sub>4</sub> retrieval errors by error parameterization M. Buchwitz et al. 10.5194/amt-6-3477-2013
- Methane cross-validation between three Fourier transform spectrometers: SCISAT ACE-FTS, GOSAT TANSO-FTS, and ground-based FTS measurements in the Canadian high Arctic G. Holl et al. 10.5194/amt-9-1961-2016
- Challenges in the atmospheric characterization for the retrieval of spectrally resolved fluorescence and PRI region dynamics from space N. Sabater et al. 10.1016/j.rse.2020.112226
- Comparison of improved Aura Tropospheric Emission Spectrometer CO<sub>2</sub> with HIPPO and SGP aircraft profile measurements S. Kulawik et al. 10.5194/acp-13-3205-2013
- A semitransparent snake-like tactile and olfactory bionic sensor with reversibly stretchable properties G. Cai et al. 10.1038/am.2017.181
- On recent (2008–2012) stratospheric aerosols observed by lidar over Japan O. Uchino et al. 10.5194/acp-12-11975-2012
- Radiative transfer modeling of atmospheric methane for satellite measurements in the 1.66 micron spectral window P. Prasad et al. 10.1177/0967033518783208
- Level 1 algorithms for TANSO on GOSAT: processing and on-orbit calibrations A. Kuze et al. 10.5194/amt-5-2447-2012
- Airborne measurements of atmospheric methane column abundance using a pulsed integrated-path differential absorption lidar H. Riris et al. 10.1364/AO.51.008296
- A study of synthetic <sup>13</sup>CH<sub>4</sub> retrievals from TROPOMI and Sentinel-5/UVNS E. Malina et al. 10.5194/amt-12-6273-2019
- Atmospheric CO2 column concentration over Iran: Emissions, GOSAT satellite observations, and WRF-GHG model simulations S. Karbasi et al. 10.1016/j.atmosres.2024.107818
- A new approach to spectral line shapes of the weak oxygen transitions for atmospheric applications J. Domysławska et al. 10.1016/j.jqsrt.2015.10.019
- A joint effort to deliver satellite retrieved atmospheric CO<sub>2</sub> concentrations for surface flux inversions: the ensemble median algorithm EMMA M. Reuter et al. 10.5194/acp-13-1771-2013
- Bias Correction of the Ratio of Total Column CH4 to CO2 Retrieved from GOSAT Spectra H. Oshio et al. 10.3390/rs12193155
- Radiometric Comparison of 1.6-μm CO2 Absorption Band of Greenhouse Gases Observing Satellite (GOSAT) TANSO-FTS with Suomi-NPP VIIRS SWIR Band S. Uprety & C. Cao 10.1175/JTECH-D-15-0157.1
- A high-level cloud detection method utilizing the GOSAT TANSO-FTS water vapor saturated band N. Eguchi & Y. Yoshida 10.5194/amt-12-389-2019
- Comparison of XCH4 Derived from g-b FTS and GOSAT and Evaluation Using Aircraft In-Situ Observations over TCCON Site S. Kenea et al. 10.1007/s13143-019-00105-0
- Regional CO<sub>2</sub> flux estimates for 2009–2010 based on GOSAT and ground-based CO<sub>2</sub> observations S. Maksyutov et al. 10.5194/acp-13-9351-2013
- Variations in Column Concentration of Greenhouse Gases in China and Their Response to the 2015–2016 El Niño Event N. Liu et al. 10.1007/s13351-024-3160-8
- Мониторинг парниковых газов в открытой атмосфере методом фурье-спектроскопии И. Голяк et al. 10.31857/S0207401X23040088
- Characterizing the regional XCO2 variability and its association with ENSO over India inferred from GOSAT and OCO-2 satellite observations C. Das et al. 10.1016/j.scitotenv.2023.166176
- The status and development proposal of carbon sources and sinks monitoring satellite system G. Meng et al. 10.1007/s43979-022-00033-5
- Airborne Measurements of CO2 Column Concentration and Range Using a Pulsed Direct-Detection IPDA Lidar J. Abshire et al. 10.3390/rs6010443
- Estimating CO2 concentration during the growing season from MODIS and GOSAT in East Asia M. Guo et al. 10.1080/01431161.2015.1081305
- Global Atmospheric CO2 Concentrations Simulated by GEOS-Chem: Comparison with GOSAT, Carbon Tracker and Ground-Based Measurements Y. Jing et al. 10.3390/atmos9050175
- Comparison of XH2O Retrieved from GOSAT Short-Wavelength Infrared Spectra with Observations from the TCCON Network E. Dupuy et al. 10.3390/rs8050414
- Effect of air composition (N<sub>2</sub>, O<sub>2</sub>, Ar, and H<sub>2</sub>O) on CO<sub>2</sub> and CH<sub>4</sub> measurement by wavelength-scanned cavity ring-down spectroscopy: calibration and measurement strategy H. Nara et al. 10.5194/amt-5-2689-2012
- Comparison of Atmospheric Carbon Dioxide Concentration Trend and Accuracy from GOSAT and AIRS data over the Korean Peninsula S. Lee et al. 10.7780/kjrs.2015.31.6.5
- Spatial and Temporal Distributions of Atmospheric CO2 in East China Based on Data from Three Satellites B. Li et al. 10.1007/s00376-020-0123-6
- Spatial analysis of resources and environmental carrying capacity in Iran H. Karami et al. 10.1111/1477-8947.12270
- Remote sensing of angular scattering effect of aerosols in a North American megacity Z. Zeng et al. 10.1016/j.rse.2020.111760
- A long-term global XCO2 dataset: Ensemble of satellite products C. Jin et al. 10.1016/j.atmosres.2022.106385
- Inverse Modeling of CO<sub>2</sub> Fluxes Using GOSAT Data and Multi-Year Ground-Based Observations T. Saeki et al. 10.2151/sola.2013-011
- TransCom model simulations of CH<sub>4</sub> and related species: linking transport, surface flux and chemical loss with CH<sub>4</sub> variability in the troposphere and lower stratosphere P. Patra et al. 10.5194/acp-11-12813-2011
- Aerosol Retrieval Sensitivity and Error Analysis for the Cloud and Aerosol Polarimetric Imager on Board TanSat: The Effect of Multi-Angle Measurement X. Chen et al. 10.3390/rs9020183
- Information content analysis: the potential for methane isotopologue retrieval from GOSAT-2 E. Malina et al. 10.5194/amt-11-1159-2018
- Retrieval of solar-induced chlorophyll fluorescence (SIF) from satellite measurements: comparison of SIF between TanSat and OCO-2 L. Yao et al. 10.5194/amt-15-2125-2022
- Note on rotational-Raman scattering in the O<sub>2</sub> A- and B-bands A. Vasilkov et al. 10.5194/amt-6-981-2013
- Validation of XCO<sub>2</sub> derived from SWIR spectra of GOSAT TANSO-FTS with aircraft measurement data M. Inoue et al. 10.5194/acp-13-9771-2013
- The amplitude of the CO2 seasonal cycle in the atmosphere of the Ural region retrieved from ground-based and satellite near-IR measurements N. Rokotyan et al. 10.1134/S102485601501011X
- Assessing accuracy and precision for space‐based measurements of carbon dioxide: An associated statistical methodology revisited Z. Su et al. 10.1002/2016EA000228
- Retrieval and Validation of XCO2 from TanSat Target Mode Observations in Beijing Z. Bao et al. 10.3390/rs12183063
- Seasonal variability of tropospheric CO2 over India based on model simulation, satellite retrieval and in-situ observation M. Krishnapriya et al. 10.1007/s12040-020-01478-x
- Testing the Polarization Model for TANSO-FTS on GOSAT Against Clear-Sky Observations of Sun Glint Over the Ocean D. O'Brien et al. 10.1109/TGRS.2012.2232673
- Carbon Dioxide and Methane at a Desert Site—A Case Study at Railroad Valley Playa, Nevada, USA E. Yates et al. 10.3390/atmos2040702
- Methane retrievals from Greenhouse Gases Observing Satellite (GOSAT) shortwave infrared measurements: Performance comparison of proxy and physics retrieval algorithms D. Schepers et al. 10.1029/2012JD017549
- The ACOS CO<sub>2</sub> retrieval algorithm – Part 1: Description and validation against synthetic observations C. O'Dell et al. 10.5194/amt-5-99-2012
- Variations in Surface Concentrations and Total Column of CO2 and CH4 in the Central Part of the European Territory of Russia K. Visheratin et al. 10.1134/S0001433823020081
- A Comparison of <italic>In Situ</italic> Aircraft Measurements of Carbon Dioxide and Methane to GOSAT Data Measured Over Railroad Valley Playa, Nevada, USA J. Tadic et al. 10.1109/TGRS.2014.2318201
- The Global Spatiotemporal Distribution of the Mid-Tropospheric CO2 Concentration and Analysis of the Controlling Factors L. Cao et al. 10.3390/rs11010094
- Evidence of Carbon Uptake Associated with Vegetation Greening Trends in Eastern China Z. He et al. 10.3390/rs12040718
- New approach to evaluate satellite-derived XCO<sub>2</sub> over oceans by integrating ship and aircraft observations A. Müller et al. 10.5194/acp-21-8255-2021
- An 11-year record of XCO<sub>2</sub> estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm T. Taylor et al. 10.5194/essd-14-325-2022
- First results of cloud retrieval from the Geostationary Environmental Monitoring Spectrometer B. Kim et al. 10.5194/amt-17-453-2024
- Industrial Plume Properties Retrieved by Optimal Estimation Using Combined Hyperspectral and Sentinel-2 Data G. Calassou et al. 10.3390/rs13101865
- 基于国产碳卫星的在轨光谱性能评估及大气二氧化碳的高精度反演(特邀) 洪. Hong Xinhua et al. 10.3788/AOS241153
- Atmospheric CO2retrieval from satellite spectral measurements by a two-step machine learning approach Z. Zhao et al. 10.1016/j.jqsrt.2021.108006
- Airborne measurements of CO2 column absorption and range using a pulsed direct-detection integrated path differential absorption lidar J. Abshire et al. 10.1364/AO.52.004446
- Impact of Aerosol Property on the Accuracy of a CO2 Retrieval Algorithm from Satellite Remote Sensing Y. Jung et al. 10.3390/rs8040322
- Vast ecosystem disturbance in a warming climate may jeopardize our climate goal of reducing CO2: a case study for megafires in the Australian ‘black summer’ X. Hong et al. 10.1016/j.scitotenv.2023.161387
- Intercomparison of Carbon Dioxide Products Retrieved from GOSAT Short-Wavelength Infrared Spectra for Three Years (2010–2012) A. Deng et al. 10.3390/atmos7090109
- Comparisons between XCH<sub>4</sub> from GOSAT Shortwave and Thermal Infrared Spectra and Aircraft CH<sub>4</sub> Measurements over Guam N. Saitoh et al. 10.2151/sola.2012-036
- Optimization of the OCO-2 Cloud Screening Algorithm and Evaluation against MODIS and TCCON Measurements over Land Surfaces in Europe and Japan S. Chen et al. 10.1007/s00376-020-9160-4
- Comparison of carbon dioxide volume mixing ratios measured by GOSAT TANSO-FTS and TCCON over two sites in East Asia H. Hong et al. 10.7780/kjrs.2013.29.6.8
- CO2 retrieval model and analysis in short-wave infrared spectrum Y. Li et al. 10.1016/j.ijleo.2016.01.144
- Comparison of Model-simulated Atmospheric Carbon Dioxide with GOSAT Retrievals C. Shim et al. 10.5572/ajae.2011.5.4.263
- Carbon dioxide retrieval from OCO-2 satellite observations using the RemoTeC algorithm and validation with TCCON measurements L. Wu et al. 10.5194/amt-11-3111-2018
- Analysis of XCO2 retrieval sensitivity using simulated Chinese Carbon Satellite (TanSat) measurements Z. Cai et al. 10.1007/s11430-013-4707-1
- Atmospheric column-averaged mole fractions of carbon dioxide at 53 aircraft measurement sites Y. Miyamoto et al. 10.5194/acp-13-5265-2013
- Interpreting Temporal Changes of Atmospheric CO2Over Fire Affected Regions Based on GOSAT Observations Y. Shi et al. 10.1109/LGRS.2016.2627056
- Aircraft measurements of carbon dioxide and methane for the calibration of ground-based high-resolution Fourier Transform Spectrometers and a comparison to GOSAT data measured over Tsukuba and Moshiri T. Tanaka et al. 10.5194/amt-5-2003-2012
- A comparison of satellite observations with the XCO 2 surface obtained by fusing TCCON measurements and GEOS-Chem model outputs L. Zhang et al. 10.1016/j.scitotenv.2017.06.018
- Hyperspectral radiative transfer modeling to explore the combined retrieval of biophysical parameters and canopy fluorescence from FLEX – Sentinel-3 tandem mission multi-sensor data W. Verhoef et al. 10.1016/j.rse.2017.08.006
- Modelling of XCO2 Surfaces Based on Flight Tests of TanSat Instruments L. Zhang et al. 10.3390/s16111818
- SCIAMACHY WFM-DOAS XCO<sub>2</sub>: comparison with CarbonTracker XCO<sub>2</sub> focusing on aerosols and thin clouds J. Heymann et al. 10.5194/amt-5-1935-2012
- Inverse modeling of GOSAT-retrieved ratios of total column CH<sub>4</sub> and CO<sub>2</sub> for 2009 and 2010 S. Pandey et al. 10.5194/acp-16-5043-2016
- The need for urban form data in spatial modeling of urban carbon emissions in China: A critical review M. Cai et al. 10.1016/j.jclepro.2021.128792
- Retrieving XCO2 from GOSAT FTS over East Asia Using Simultaneous Aerosol Information from CAI W. Kim et al. 10.3390/rs8120994
- The Greenhouse gas Observations of Biospheric and Local Emissions from the Upper sky (GOBLEU): a mission overview, instrument description, and results from the first flight H. Suto et al. 10.1186/s13021-024-00273-1
- High-resolution GEOS-Chem model for Indian monsoon region: Seasonal cycle and budget of tropospheric CO2 S. Allahudheen et al. 10.1016/j.atmosenv.2023.119913
- Retrieved XCO2 Accuracy Improvement by Reducing Aerosol-Induced Bias for China’s Future High-Precision Greenhouse Gases Monitoring Satellite Mission J. Ke et al. 10.3390/atmos13091384
- Improvement of Cloud-data Filtering Method Using Spectrum of AERI J. Cho et al. 10.7780/kjrs.2015.31.2.8
- Global-Scale Evaluation of XCO2 Products from GOSAT, OCO-2 and CarbonTracker Using Direct Comparison and Triple Collocation Method Y. Chen et al. 10.3390/rs14225635
- Application of a probability density function-based atmospheric light-scattering correction to carbon dioxide retrievals from GOSAT over-sea observations A. Bril et al. 10.1016/j.rse.2011.10.005
- Optimization of the Photon Path Length Probability Density Function-Simultaneous (PPDF-S) Method and Evaluation of CO2 Retrieval Performance Under Dense Aerosol Conditions C. Iwasaki et al. 10.3390/s19051262
- Inter-annual variability of summertime CO 2 exchange in Northern Eurasia inferred from GOSAT XCO 2 M. Ishizawa et al. 10.1088/1748-9326/11/10/105001
- Improvement of the retrieval algorithm for GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> and their validation using TCCON data Y. Yoshida et al. 10.5194/amt-6-1533-2013
- Greenhouse gas emissions from soils—A review C. Oertel et al. 10.1016/j.chemer.2016.04.002
- Comparison of GOSAT SWIR and Aircraft Measurements of XCH<sub>4</sub> over West Siberia A. Ono et al. 10.2151/sola.2015-036
- Algorithm update of the GOSAT/TANSO-FTS thermal infrared CO<sub>2</sub> product (version 1) and validation of the UTLS CO<sub>2</sub> data using CONTRAIL measurements N. Saitoh et al. 10.5194/amt-9-2119-2016
- Bias assessment of lower and middle tropospheric CO<sub>2</sub> concentrations of GOSAT/TANSO-FTS TIR version 1 product N. Saitoh et al. 10.5194/amt-10-3877-2017
- A Coupled BRDF CO2 Retrieval Method for the GF-5 GMI and Improvements in the Correction of Atmospheric Scattering H. Ye et al. 10.3390/rs14030488
- Sensitivity analysis of an XCO2 retrieval algorithm for high-resolution short-wave infrared spectra P. Rong et al. 10.1016/j.ijleo.2020.164502
- A Cluster of CO2 Change Characteristics with GOSAT Observations for Viewing the Spatial Pattern of CO2 Emission and Absorption D. Liu et al. 10.3390/atmos6111695
- Intercomparison of Remote Sensing Retrievals: An Examination of Prior-Induced Biases in Averaging Kernel Corrections H. Nguyen & J. Hobbs 10.3390/rs12193239
- Atmospheric gas-phase composition over the Indian Ocean S. Tegtmeier et al. 10.5194/acp-22-6625-2022
- The New Potential of Deep Convective Clouds as a Calibration Target for a Geostationary UV/VIS Hyperspectral Spectrometer Y. Lee et al. 10.3390/rs12030446
- Methane and carbon dioxide total column retrievals from cloudy GOSAT soundings over the oceans D. Schepers et al. 10.1002/2015JD023389
- Fast-switching methane lidar transmitter based on a seeded optical parametric oscillator K. Numata et al. 10.1007/s00340-014-5783-4
- The Significance of Fast Radiative Transfer for Hyperspectral SWIR XCO2 Retrievals P. Somkuti et al. 10.3390/atmos11111219
- Detection of Absorbing Aerosol Using Single Near-UV Radiance Measurements from a Cloud and Aerosol Imager S. Go et al. 10.3390/rs9040378
- XCO2 retrieval algorithm in short-wave infrared spectrum and validation with TCCON data Y. Li et al. 10.1016/j.ijleo.2016.04.074
- Comparisons of CH<sub>4</sub> ground-based FTIR measurements near Saint Petersburg with GOSAT observations N. Gavrilov et al. 10.5194/amt-7-1003-2014
- A physics-based approach to oversample multi-satellite, multispecies observations to a common grid K. Sun et al. 10.5194/amt-11-6679-2018
- The use of the 1.27 µm O2 absorption band for greenhouse gas monitoring from space and application to MicroCarb J. Bertaux et al. 10.5194/amt-13-3329-2020
- 大气甲烷卫星传感器和遥感算法研究综述 何. He Zhuo et al. 10.3788/AOS230429
- Large Increase in Atmospheric Methane over West Siberian Wetlands during Summer Detected from Space Y. Someya et al. 10.2151/sola.2020-027
- Multi-Year Comparison of Carbon Dioxide from Satellite Data with Ground-Based FTS Measurements (2003–2011) R. Miao et al. 10.3390/rs5073431
- Preliminary validation of column-averaged volume mixing ratios of carbon dioxide and methane retrieved from GOSAT short-wavelength infrared spectra I. Morino et al. 10.5194/amt-4-1061-2011
- Diurnal and Seasonal Variations of Carbon Dioxide (CO2) Concentration in Urban, Suburban, and Rural Areas around Tokyo R. Imasu & Y. Tanabe 10.3390/atmos9100367
- A simple empirical model estimating atmospheric CO<sub>2</sub> background concentrations M. Reuter et al. 10.5194/amt-5-1349-2012
- Column-averaged CO2 concentrations in the subarctic from GOSAT retrievals and NIES transport model simulations D. Belikov et al. 10.1016/j.polar.2014.02.002
- Validation of GOSAT SWIR XCO<sub>2</sub> and XCH<sub>4</sub> Retrieved by PPDF-S Method and Comparison with Full Physics Method C. Iwasaki et al. 10.2151/sola.2017-031
- Airborne measurements of CO<sub>2</sub> column concentrations made with a pulsed IPDA lidar using a multiple-wavelength-locked laser and HgCdTe APD detector J. Abshire et al. 10.5194/amt-11-2001-2018
- On the zero-level offset in the GOSAT TANSO-FTS O<sub>2</sub> A band and the quality of solar-induced chlorophyll fluorescence (SIF): comparison of SIF between GOSAT and OCO-2 H. Oshio et al. 10.5194/amt-12-6721-2019
- How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
- Space- and ground-based CO2 measurements: A review T. Yue et al. 10.1007/s11430-015-0239-7
- Spatiotemporal Investigation of Near-Surface CO2 and Its Affecting Factors Over Asia F. Mustafa et al. 10.1109/TGRS.2022.3178125
- XCO2 satellite retrieval experiments in short-wave and infrared spectra with SCIATRAN model for Sahara Desert Y. Li et al. 10.1007/s11430-015-0198-x
- Calibration, Level 1 Processing, and Radiometric Validation for TANSO-FTS TIR on GOSAT F. Kataoka et al. 10.1109/TGRS.2018.2885162
- Non-Lambertian snow surface reflection models for simulated top-of-the-atmosphere radiances in the NIR and SWIR wavelengths A. Mikkonen et al. 10.1016/j.jqsrt.2023.108892
- Investigation of seasonal variability of atmospheric columnar CO2 over India in relation to environmental parameters using OCO-2 observation and vertical redistribution model B. Raychaudhuri & S. Roy 10.1080/01431161.2020.1832281
- The Greenhouse Gas Climate Change Initiative (GHG-CCI): Comparison and quality assessment of near-surface-sensitive satellite-derived CO2 and CH4 global data sets M. Buchwitz et al. 10.1016/j.rse.2013.04.024
- Combining XCO2 Measurements Derived from SCIAMACHY and GOSAT for Potentially Generating Global CO2 Maps with High Spatiotemporal Resolution T. Wang et al. 10.1371/journal.pone.0105050
- A differential optical absorption spectroscopy method for $${X_{CO_2}}$$ retrieval from ground-based Fourier transform spectrometers measurements of the direct solar beam Y. Huo et al. 10.1007/s00376-015-4213-9
- Error analysis of the greenhouse-gases monitor instrument short wave infrared XCO2 retrieval algorithm H. Wu 10.1117/1.JRS.12.016015
- Multispectral information from TANSO-FTS instrument – Part 2: Application to aerosol effect on greenhouse gas retrievals H. Herbin et al. 10.5194/amt-6-3313-2013
- Numerical analysis of CH4 concentration distributions over East Asia with a regional chemical transport model L. Qin et al. 10.1016/j.atmosenv.2023.120207
- Performance evaluation of a 16-µm methane DIAL system from ground, aircraft and UAV platforms T. Refaat et al. 10.1364/OE.21.030415
- Retrieval of Global Carbon Dioxide From TanSat Satellite and Comprehensive Validation With TCCON Measurements and Satellite Observations X. Hong et al. 10.1109/TGRS.2021.3066623
- An Assessment of Anthropogenic CO2 Emissions by Satellite-Based Observations in China S. Yang et al. 10.3390/s19051118
- Regional Methane Emission Estimation Based on Observed Atmospheric Concentrations (2002-2012) P. PATRA et al. 10.2151/jmsj.2016-006
- Numerical modeling of ozone damage to plants and its effects on atmospheric CO2 in China X. Xie et al. 10.1016/j.atmosenv.2019.116970
- An improved constraint method in optimal estimation of CO2 from GOSAT SWIR observations M. Zou et al. 10.1007/s11430-015-0247-9
- Difference between forward- and backward-looking bands of GOSAT-2 CAI-2 cloud discrimination used with Terra MISR data Y. Oishi et al. 10.1080/2150704X.2016.1145822
- On-orbit radiometric calibration of SWIR bands of TANSO-FTS onboard GOSAT Y. Yoshida et al. 10.5194/amt-5-2515-2012
- A study of the validation of atmospheric CO2 from satellite hyper spectral remote sensing M. Zhang et al. 10.1016/j.accre.2014.11.002
- SCIAMACHY WFM-DOAS <i>X</i>CO<sub>2</sub>: reduction of scattering related errors J. Heymann et al. 10.5194/amt-5-2375-2012
- Potential improvement of XCO 2 retrieval of the OCO-2 by having aerosol information from the A-train satellites J. Hong et al. 10.1080/15481603.2023.2209968
- A high-accuracy method for simulating the XCO2 global distribution using GOSAT retrieval data M. Zhao et al. 10.1007/s11430-016-0069-7
- Analysis of methane total column variations in the atmosphere near St. Petersburg using ground-based measurements and simulations M. Makarova et al. 10.1134/S0001433815010089
- Spatio-Temporal Consistency Evaluation of XCO2 Retrievals from GOSAT and OCO-2 Based on TCCON and Model Data for Joint Utilization in Carbon Cycle Research Y. Kong et al. 10.3390/atmos10070354
- Evaluating the performance of carbon dioxide and methane observations from carbon-monitoring satellite products over China X. Hong et al. 10.1016/j.scitotenv.2024.176896
- A Theoretical Analysis for Improving Aerosol-Induced CO2 Retrieval Uncertainties Over Land Based on TanSat Nadir Observations Under Clear Sky Conditions X. Chen et al. 10.3390/rs11091061
- Consistent satellite XCO<sub>2</sub> retrievals from SCIAMACHY and GOSAT using the BESD algorithm J. Heymann et al. 10.5194/amt-8-2961-2015
- Reevaluating the Use of O2 a1Δg Band in Spaceborne Remote Sensing of Greenhouse Gases K. Sun et al. 10.1029/2018GL077823
- Using ocean-glint scattered sunlight as a diagnostic tool for satellite remote sensing of greenhouse gases A. Butz et al. 10.5194/amt-6-2509-2013
- Simultaneous retrieval of atmospheric CO2 and light path modification from space-based spectroscopic observations of greenhouse gases: methodology and application to GOSAT measurements over TCCON sites S. Oshchepkov et al. 10.1364/AO.52.001339
- Evaluation and attribution of OCO-2 XCO<sub>2</sub> uncertainties J. Worden et al. 10.5194/amt-10-2759-2017
- Multispectral information from TANSO-FTS instrument – Part 1: Application to greenhouse gases (CO<sub>2</sub> and CH<sub>4</sub>) in clear sky conditions H. Herbin et al. 10.5194/amt-6-3301-2013
- Ship- and aircraft-based XCH4 over oceans as a new tool for satellite validation A. Müller et al. 10.5194/amt-17-1297-2024
- High resolution inventory of atmospheric emissions from livestock production, agriculture, and biomass burning sectors of Argentina S. Puliafito et al. 10.1016/j.atmosenv.2019.117248
- Regional scale variations of atmospheric CO2and CH4from satellite observation F. Ru et al. 10.1088/1755-1315/17/1/012022
- Modification of Fraser’s Method for the Atmospheric CO2 Mass Estimation by Using Satellite Data M. Pellegrini et al. 10.3390/atmos13060866
- Spatial and temporal change patterns of near-surface CO2 and CH4 concentrations in different permafrost regions on the Mongolian Plateau from 2010 to 2017 S. Adiya et al. 10.1016/j.scitotenv.2021.149433
- Orbiting Carbon Observatory-2 (OCO-2) cloud screening algorithms: validation against collocated MODIS and CALIOP data T. Taylor et al. 10.5194/amt-9-973-2016
- Use of a process-based model for assessing the methane budgets of global terrestrial ecosystems and evaluation of uncertainty A. Ito & M. Inatomi 10.5194/bg-9-759-2012
- Thermal and near-infrared sensor for carbon observation Fourier transform spectrometer-2 (TANSO-FTS-2) on the Greenhouse gases Observing SATellite-2 (GOSAT-2) during its first year in orbit H. Suto et al. 10.5194/amt-14-2013-2021
- Atmospheric ammonia retrieval from the TANSO-FTS/GOSAT thermal infrared sounder Y. Someya et al. 10.5194/amt-13-309-2020
- Comparison of Column-Averaged Volume Mixing Ratios of Carbon Dioxide Retrieved From IASI/METOP-A Using KLIMA Algorithm and TANSO-FTS/GOSAT Level 2 Products L. Laurenza et al. 10.1109/JSTARS.2013.2276125
- CO 2 line-mixing database and software update and its tests in the 2.1 μm and 4.3 μm regions J. Lamouroux et al. 10.1016/j.jqsrt.2014.09.017
- The retrieval algorithm for a satellite-borne CO2-sounder: Preliminary results in near infrared band D. Liu et al. 10.1016/j.ijleo.2016.06.072
- Spatiotemporal Geostatistical Analysis and Global Mapping of CH4 Columns from GOSAT Observations L. Li et al. 10.3390/rs14030654
- The GeoCarb greenhouse gas retrieval algorithm: simulations and sensitivity to sources of uncertainty G. McGarragh et al. 10.5194/amt-17-1091-2024
- Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT S. Lee et al. 10.3390/rs9070687
- Comparison of atmospheric CO2 mole fractions and source–sink characteristics at four WMO/GAW stations in China S. Cheng et al. 10.1016/j.atmosenv.2018.03.010
- Retrieval of atmospheric CH4profiles from Fourier transform infrared data using dimension reduction and MCMC S. Tukiainen et al. 10.1002/2015JD024657
- Greenhouse Gases Monitoring Instrument on GaoFen-5 Satellite-II: Optical Design and Evaluation H. Luo et al. 10.3390/rs15041105
- Retrievals of Total and Tropospheric Ozone From GOSAT Thermal Infrared Spectral Radiances H. Ohyama et al. 10.1109/TGRS.2011.2170178
- Quantification of uncertainties in OCO-2 measurements of XCO<sub>2</sub>: simulations and linear error analysis B. Connor et al. 10.5194/amt-9-5227-2016
- Analysis of the carbon dioxide concentration in the lowest atmospheric layers and the factors affecting China based on satellite observations Y. Hou et al. 10.1080/01431161.2012.730159
- Interpreting seasonal changes of low-tropospheric CO 2 over China based on SCIAMACHY observations during 2003–2011 W. Xi et al. 10.1016/j.atmosenv.2014.12.053
- Estimation of national sources and sinks of greenhouse gases based on satellite observations N. Zanaty et al. 10.1016/j.ejrs.2023.11.012
- Variations in Surface Concentrations and Total Column of CO<sub>2</sub> and CH<sub>4</sub> in the Central Part of the European Territory of Russia K. Visheratin et al. 10.31857/S0002351523020086
- TransCom satellite intercomparison experiment: Construction of a bias corrected atmospheric CO2climatology R. Saito et al. 10.1029/2011JD016033
- Global high-resolution simulations of CO<sub>2</sub> and CH<sub>4</sub> using a NIES transport model to produce a priori concentrations for use in satellite data retrievals T. Saeki et al. 10.5194/gmd-6-81-2013
- An Efficient Algorithm for Retrieving CO2 in the Atmosphere From Hyperspectral Measurements of Satellites: Application of NLS-4DVar Data Assimilation Method Z. Jin et al. 10.3389/feart.2021.688542
- Predicting Neighborhood-Level Residential Carbon Emissions from Street View Images Using Computer Vision and Machine Learning W. Shi et al. 10.3390/rs16081312
- Effect of continental sources and sinks on the seasonal and latitudinal gradient of atmospheric carbon dioxide over East Asia C. Shim et al. 10.1016/j.atmosenv.2013.07.055
- Retrieval and validation of carbon dioxide, methane and water vapor for the Canary Islands IR-laser occultation experiment V. Proschek et al. 10.5194/amt-8-3315-2015
- Impact of ENSO on variability of global CO2 concentration retrievals from GOSAT and AIRS N. Ying & Q. Ye 10.1088/1755-1315/237/2/022009
- Application of Seasonal AERI Reference Spectrum for the Improvement of Cloud data Filtering Method J. Cho et al. 10.7780/kjrs.2015.31.5.5
- Evaluating Radiometric Responsivity Degradations of TANSO-FTS/GOSAT Using Principal Component Analysis Y. Someya & Y. Yoshida 10.1175/JTECH-D-19-0224.1
- Inverse modeling of CO<sub>2</sub> sources and sinks using satellite observations of CO<sub>2</sub> from TES and surface flask measurements R. Nassar et al. 10.5194/acp-11-6029-2011
- Toward accurate CO2and CH4observations from GOSAT A. Butz et al. 10.1029/2011GL047888
- Vertical Profile of Ozone Derived from Combined MLS and TES Satellite Observations J. Liu et al. 10.3390/rs14071588
- Study of mid-latitude retrieval XCO2 greenhouse gas: Validation of satellite-based shortwave infrared spectroscopy with ground-based TCCON observations S. Karbasi et al. 10.1016/j.scitotenv.2022.155513
- Examining the Role of the Main Terrestrial Factors Won the Seasonal Distribution of Atmospheric Carbon Dioxide Concentration over Iran S. Mousavi et al. 10.1007/s12524-022-01650-4
- Methodological progress in the measurement of agricultural greenhouse gases N. Mumu et al. 10.1080/17583004.2024.2366527
- Inverse modelling of CH<sub>4</sub> emissions for 2010–2011 using different satellite retrieval products from GOSAT and SCIAMACHY M. Alexe et al. 10.5194/acp-15-113-2015
- Assessment of seasonal variations of carbon dioxide concentration in Iran using GOSAT data S. Mousavi et al. 10.1111/1477-8947.12121
- Two-Year Comparison of Airborne Measurements of CO2 and CH4 With GOSAT at Railroad Valley, Nevada T. Tanaka et al. 10.1109/TGRS.2016.2539973
- Comparisons of satellite (GOSAT) and ground-based spectroscopic measurements of CO2 content near St. Petersburg N. Gavrilov & Y. Timofeev 10.1134/S0001433814090084
- Systematics of atmospheric environment monitoring in China via satellite remote sensing Z. Wang et al. 10.1007/s11869-020-00922-7
- Developing unbiased estimation of atmospheric methane via machine learning and multiobjective programming based on TROPOMI and GOSAT data K. Li et al. 10.1016/j.rse.2024.114039
- Quantification and evaluation of atmospheric emissions from crop residue burning constrained by satellite observations in China during 2016–2020 X. Hong et al. 10.1016/j.scitotenv.2022.161237
- AIRS retrieved CO2 and its association with climatic parameters over India during 2004–2011 K. Kumar et al. 10.1016/j.scitotenv.2013.12.118
- Development of a balloon-borne instrument for CO<sub>2</sub> vertical profile observations in the troposphere M. Ouchi et al. 10.5194/amt-12-5639-2019
- Comparison of CH4 inversions based on 15 months of GOSAT and SCIAMACHY observations G. Monteil et al. 10.1002/2013JD019760
- EOF-based regression algorithm for the fast retrieval of atmospheric CO2 total column amount from the GOSAT observations А. Bril et al. 10.1016/j.jqsrt.2016.12.005
- Satellite Monitoring of Anomalous Wildfires in Australia V. Bondur et al. 10.3389/feart.2020.617252
- Spectroscopic techniques conceptualized with the remote sensing of atmospheric carbon dioxide and other greenhouse gases B. Raychaudhuri 10.1080/05704928.2024.2326527
- CO<sub>2</sub> Retrieval Using Thermal Infrared Radiation Observation by Interferometric Monitor for Greenhouse Gases (IMG) Onboard Advanced Earth Observing Satellite (ADEOS) Y. OTA & R. IMASU 10.2151/jmsj.2016-027
- Calibration of the Greenhouse Gas Monitoring Instrument (GMI) Based on a Digital Calibration Field Network H. Shi et al. 10.3390/rs15020373
- Influence of aerosols and thin cirrus clouds on the GOSAT-observed CO<sub>2</sub>: a case study over Tsukuba O. Uchino et al. 10.5194/acp-12-3393-2012
8 citations as recorded by crossref.
- Detection of marine methane emissions with AVIRIS band ratios E. Bradley et al. 10.1029/2011GL046729
- Comparative analysis of land, marine, and satellite observations of methane in the lower Atmosphere in the Russian Arctic under conditions of climate change O. Anisimov & V. Kokorev 10.1134/S0001433815090030
- A very high-resolution (1 km×1 km) global fossil fuel CO<sub>2</sub> emission inventory derived using a point source database and satellite observations of nighttime lights T. Oda & S. Maksyutov 10.5194/acp-11-543-2011
- Comparison of Cloud-Screening Methods Applied to GOSAT Near-Infrared Spectra T. Taylor et al. 10.1109/TGRS.2011.2160270
- First observations of global and seasonal terrestrial chlorophyll fluorescence from space J. Joiner et al. 10.5194/bg-8-637-2011
- Spatial and temporal distribution of carbon dioxide gas using GOSAT data over IRAN S. Falahatkar et al. 10.1007/s10661-017-6285-8
- Detection of optical path in spectroscopic space-based observations of greenhouse gases: Application to GOSAT data processing S. Oshchepkov et al. 10.1029/2010JD015352
- Analyzing CO2 concentration changes and their influencing factors in Indonesia by OCO-2 and other multi-sensor remote-sensing data S. Yin et al. 10.1080/17538947.2017.1359344
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