Articles | Volume 12, issue 3
https://doi.org/10.5194/amt-12-1785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-1785-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Mar 2019
Research article |
| 19 Mar 2019
| 19 Mar 2019
The Mainz profile algorithm (MAPA)
Max-Planck-Institut für Chemie (MPI-C), Satellitenfernerkundung,
Mainz, Germany
Steffen Dörner
Max-Planck-Institut für Chemie (MPI-C), Satellitenfernerkundung,
Mainz, Germany
Sebastian Donner
Max-Planck-Institut für Chemie (MPI-C), Satellitenfernerkundung,
Mainz, Germany
Julia Remmers
Max-Planck-Institut für Chemie (MPI-C), Satellitenfernerkundung,
Mainz, Germany
Yang Wang
Max-Planck-Institut für Chemie (MPI-C), Satellitenfernerkundung,
Mainz, Germany
Thomas Wagner
Max-Planck-Institut für Chemie (MPI-C), Satellitenfernerkundung,
Mainz, Germany
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- Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data U. Frieß et al. 10.5194/amt-12-2155-2019
- Long-term MAX-DOAS measurements of NO<sub>2</sub>, HCHO, and aerosols and evaluation of corresponding satellite data products over Mohali in the Indo-Gangetic Plain V. Kumar et al. 10.5194/acp-20-14183-2020
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27 citations as recorded by crossref.
- Study of atmospheric glyoxal using multiple axis differential optical spectroscopy (MAX-DOAS) in India M. Biswas et al. 10.1016/j.atmosenv.2023.120109
- Assessment of the NO2 Spatio-Temporal Variability over Thessaloniki, Greece, Using MAX-DOAS Measurements and Comparison with S5P/TROPOMI Observations D. Karagkiozidis et al. 10.3390/app13042641
- Enhancing MAX-DOAS atmospheric state retrievals by multispectral polarimetry – studies using synthetic data J. Tirpitz et al. 10.5194/amt-15-2077-2022
- Year-long ground-based observations of bromine oxide over Bharati Station, Antarctica S. Wagh et al. 10.1016/j.polar.2023.100977
- Ground-based Multi-AXis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations of NO2 and H2CO at Kinshasa and comparisons with TROPOMI observations R. Yombo Phaka et al. 10.5194/amt-16-5029-2023
- Ground-based validation of the Copernicus Sentinel-5P TROPOMI NO<sub>2</sub> measurements with the NDACC ZSL-DOAS, MAX-DOAS and Pandonia global networks T. Verhoelst et al. 10.5194/amt-14-481-2021
- Validation of TROPOMI tropospheric NO2 columns using dual-scan multi-axis differential optical absorption spectroscopy (MAX-DOAS) measurements in Uccle, Brussels E. Dimitropoulou et al. 10.5194/amt-13-5165-2020
- Validation of tropospheric NO<sub>2</sub> column measurements of GOME-2A and OMI using MAX-DOAS and direct sun network observations G. Pinardi et al. 10.5194/amt-13-6141-2020
- Glyoxal tropospheric column retrievals from TROPOMI – multi-satellite intercomparison and ground-based validation C. Lerot et al. 10.5194/amt-14-7775-2021
- Use of the PSCF method to analyze the variations of potential sources and transports of NO2, SO2, and HCHO observed by MAX-DOAS in Nanjing, China during 2019 B. Ren et al. 10.1016/j.scitotenv.2021.146865
- On the influence of vertical mixing, boundary layer schemes, and temporal emission profiles on tropospheric NO2 in WRF-Chem – comparisons to in situ, satellite, and MAX-DOAS observations L. Kuhn et al. 10.5194/acp-24-185-2024
- Technical note: Evaluation of profile retrievals of aerosols and trace gases for MAX-DOAS measurements under different aerosol scenarios based on radiative transfer simulations X. Tian et al. 10.5194/acp-21-12867-2021
- A feasibility study to use machine learning as an inversion algorithm for aerosol profile and property retrieval from multi-axis differential absorption spectroscopy measurements Y. Dong et al. 10.5194/amt-13-5537-2020
- Differences in iodine chemistry over the Antarctic continent A. Mahajan et al. 10.1016/j.polar.2023.101014
- Evaluation of the coupled high-resolution atmospheric chemistry model system MECO(n) using in situ and MAX-DOAS NO<sub>2</sub> measurements V. Kumar et al. 10.5194/amt-14-5241-2021
- Evaluation of UV–visible MAX-DOAS aerosol profiling products by comparison with ceilometer, sun photometer, and in situ observations in Vienna, Austria S. Schreier et al. 10.5194/amt-14-5299-2021
- Weekly derived top-down volatile-organic-compound fluxes over Europe from TROPOMI HCHO data from 2018 to 2021 G. Oomen et al. 10.5194/acp-24-449-2024
- Observations of iodine monoxide over three summers at the Indian Antarctic bases of Bharati and Maitri A. Mahajan et al. 10.5194/acp-21-11829-2021
- Needs and challenges of optical atmospheric monitoring on the background of carbon neutrality in China W. Liu & C. Xing 10.1007/s11783-024-1833-2
- Quantitative comparison of measured and simulated O<sub>4</sub> absorptions for one day with extremely low aerosol load over the tropical Atlantic T. Wagner et al. 10.5194/amt-14-3871-2021
- Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies on field data from the CINDI-2 campaign J. Tirpitz et al. 10.5194/amt-14-1-2021
- Inter-comparison of MAX-DOAS measurements of tropospheric HONO slant column densities and vertical profiles during the CINDI-2 campaign Y. Wang et al. 10.5194/amt-13-5087-2020
- McPrA - A new gas profile inversion algorithm for MAX-DOAS and apply to 50 m vertical resolution J. Zheng et al. 10.1016/j.scitotenv.2023.165828
- Calculating the vertical column density of O<sub>4</sub> during daytime from surface values of pressure, temperature, and relative humidity S. Beirle et al. 10.5194/amt-15-987-2022
- Intercomparison of MAX-DOAS vertical profile retrieval algorithms: studies using synthetic data U. Frieß et al. 10.5194/amt-12-2155-2019
- Long-term MAX-DOAS measurements of NO<sub>2</sub>, HCHO, and aerosols and evaluation of corresponding satellite data products over Mohali in the Indo-Gangetic Plain V. Kumar et al. 10.5194/acp-20-14183-2020
- Stereoscopic hyperspectral remote sensing of the atmospheric environment: Innovation and prospects C. Liu et al. 10.1016/j.earscirev.2022.103958
Latest update: 29 Jun 2024
