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essd_13_5273_2021.pdf.jpg2021The global and multi-annual MUSICA IASI {H2O, δD} pair datasetDiekmann, Christopher; Schneider, Matthias; Ertl, Benjamin, ...
AMT_Garcia_2022.pdf.jpg2022Impact of instrumental line shape characterization on ozone monitoring by FTIR spectrometryGarcía Rodríguez, Omaira Elena; Sanromá, Esther; Hase, Frank, ...
ACP_Tu_2022_compressed.pdf.jpg2022Quantification of CH4 emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASITu, Qiansi; Hase, Frank; Schneider, Matthias, ...
acp-21-15519-2021.pdf.jpg2021Twenty years of ground-based NDACC FTIR spectrometry at Izaña Observatory - overview and long-term comparison to other techniquesGarcía Rodríguez, Omaira Elena; Schneider, Matthias; Sepúlveda Hernández, Eliezer, ...
Schneider_AMT_2022_compressed.pdf.jpg2022Synergetic use of IASI profile and TROPOMI total-column level 2 methane retrieval productsSchneider, Matthias; Ertl, Benjamin; Tu, Qiansi, ...
amt-14-1239-2021.pdf.jpg2021Characterization and potential for reducing optical resonances in Fourier transform infrared spectrometers of the Network for the Detection of Atmospheric Composition Change (NDACC)Blumenstock, Thomas; Hase, Frank; Keens, Axel, ...
essd-14-325-2022.pdf.jpg2022An 11-year record of XCO2 estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithmTaylor, Thomas E.; O’Dell, Christopher W.; Crisp, David, ...
RS_2022_vanden.pdf.jpg2022Nitrous Oxide Profiling from Infrared Radiances (NOPIR): algorithm description, application to 10 years of IASI observations and quality assessmentVandenbussche, Sophie; Langerock, Bavo; Vigouroux, Corinne, ...
acp-2021-437.pdf.jpg2021Quantification of CH4 emissions from waste disposal sites near the city of Madrid using ground- and space-based observations of COCCON, TROPOMI and IASI [Discussion paper]Tu, Qiansi; Hase, Frank; Schneider, Matthias, ...
AMTD_Tu_2022.pdf.jpg2022Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and machine learning technique [Discussion paper]Tu, Qiansi; Hase, Frank; Chen, Zihan, ...
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