Articles | Volume 7, issue 8
https://doi.org/10.5194/amt-7-2531-2014
© Author(s) 2014. 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-7-2531-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
14 Aug 2014
Research article |
| 14 Aug 2014
Application of spectral analysis techniques to the intercomparison of aerosol data – Part 4: Synthesized analysis of multisensor satellite and ground-based AOD measurements using combined maximum covariance analysis
NASA Goddard Institute for Space Studies, New York, NY, USA
Department of Applied Physics and Applied Math, Columbia University, New York, NY, USA
B. E. Carlson
NASA Goddard Institute for Space Studies, New York, NY, USA
A. A. Lacis
NASA Goddard Institute for Space Studies, New York, NY, USA
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22 citations as recorded by crossref.
- Validation of MODIS C6.1 and MERRA-2 AOD Using AERONET Observations: A Comparative Study over Turkey M. Aldabash et al. 10.3390/atmos11090905
- Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations J. Li et al. 10.1002/2016JD025469
- Influence of Temporal Representativeness of Satellite Aerosol Products on Direct Aerosol Radiative Effects X. Yang et al. 10.1109/TGRS.2025.3576650
- The Role of Ionic Liquids in the Lignin Separation from Lignocellulosic Biomass I. Hasanov et al. 10.3390/en13184864
- Poly(ethylene glycol)dimethacrylate – nanofibrillated cellulose bionanocomposites as injectable hydrogel for therapy of herniated nucleus pulposus patients P. Widiyanti et al. 10.1016/j.jmrt.2020.08.091
- Satellite remote sensing of atmospheric particulate matter mass concentration: Advances, challenges, and perspectives Y. Zhang et al. 10.1016/j.fmre.2021.04.007
- Measurement of Benzo(a)pyrene in PM10 Collected in New Delhi J. Pokhariyal et al. 10.1007/s12647-019-00316-w
- Assessing discrepancies in global aerosol trends from satellites, models and reanalyses R. Urraca et al. 10.1016/j.rse.2025.114827
- Assessment of the Representativeness of MODIS Aerosol Optical Depth Products at Different Temporal Scales Using Global AERONET Measurements Y. Tong et al. 10.3390/rs12142330
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- Automated detection of shockable and non-shockable arrhythmia using novel wavelet-based ECG features M. Sharma et al. 10.1016/j.compbiomed.2019.103446
- Annual and Inter-annual Variability Coupled with Comparison of MODIS-AERONET Retrieved Aerosol Optical Depth over a Rural Site in the Central Indo-Gangetic Basin S. Varpe et al. 10.1007/s41810-022-00135-8
- Merging regional and global aerosol optical depth records from major available satellite products L. Sogacheva et al. 10.5194/acp-20-2031-2020
- Mapping of land degradation using spectral angle mapper approach (SAM): the case of Inaouene watershed (Northeast Morocco) B. Benzougagh et al. 10.1007/s40808-023-01711-8
- EVALUATION OF ANTIMICROBIAL, ANTIOXIDANT AND ENZYME INHIBITION ROLES OF POLAR AND NON-POLAR EXTRACTS OF CLITORIA TERNATEA SEEDS Z. Mushtaq et al. 10.36899/JAPS.2021.5.0342
- Microbial volatile organic compounds measured in the air of a waste sorting plant and a university by thermal desorption-gas chromatography-tandem mass spectrometry S. Tabbal et al. 10.1007/s10661-024-13558-2
- West-warming East-cooling trend over Antarctica reversed since early 21st century driven by large-scale circulation variation M. Xin et al. 10.1088/1748-9326/acd8d4
- A broadscale shift in antarctic temperature trends M. Xin et al. 10.1007/s00382-023-06825-4
- MODIS 3 km and 10 km aerosol optical depth for China: Evaluation and comparison Q. He et al. 10.1016/j.atmosenv.2017.01.023
- Dataset Reduction Techniques to Speed Up SVD Analyses on Big Geo-Datasets L. Bogaardt et al. 10.3390/ijgi8020055
- Construction of 3D Soil Moisture Maps in Agricultural Fields by Using Wireless Sensor Communication H. KOYUNCU et al. 10.35378/gujs.720778
- Assessment of pollutants from the Canale d'Aiedda basin to the sea: SWAT model and Remote Sensing Approach M. Centanni et al. 10.1016/j.ecoinf.2025.103410
6 citations as recorded by crossref.
- How well do satellite AOD observations represent the spatial and temporal variability of PM 2.5 concentration for the United States? J. Li et al. 10.1016/j.atmosenv.2014.12.010
- An Intercomparison of the Spatiotemporal Variability of Satellite- and Ground-Based Cloud Datasets Using Spectral Analysis Techniques J. Li et al. 10.1175/JCLI-D-14-00537.1
- Assessing PM2.5 concentrations in Tehran, Iran, from space using MAIAC, deep blue, and dark target AOD and machine learning algorithms S. Nabavi et al. 10.1016/j.apr.2018.12.017
- Synergy of Satellite‐ and Ground‐Based Aerosol Optical Depth Measurements Using an Ensemble Kalman Filter Approach J. Li et al. 10.1029/2019JD031884
- Global trends of aerosol optical thickness using the ensemble empirical mode decomposition method Z. Zhang et al. 10.1002/joc.4637
- Evaluation of the representativeness of ground-based visibility for analysing the spatial and temporal variability of aerosol optical thickness in China Z. Zhang et al. 10.1016/j.atmosenv.2016.09.060
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