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Vista previaFecha de publicaciónTítuloAutor(es)
remotesensing-12-03148-v2.pdf.jpg2020Spectral Aerosol Optical Depth retrievals by ground-based Fourier Transform Infrared spectrometryBarreto Velasco, África; García Rodríguez, Omaira Elena; Schneider, Matthias, ...
amtd-7-11799-2014.pdf.jpg2014Validation of SCIAMACHY HDO/H2O measurements using the TCCON and NDACC-MUSICA networks [Discussion paper]Scheepmaker, Remco A.; Frankenberg, Christian; Deutscher, Nicholas Michael, ...
amtd-5-3973-2012.pdf.jpg2012Validation of IASI FORLI carbon monoxide retrievals using FTIR data from NDACC [Discussion paper]Kerzenmacher, Tobias; Dils, Bart; Kumps, Nicolas, ...
amt-15-2433-2022.pdf.jpg2022Improved calibration procedures for the EM27/SUN spectrometers of the COllaborative Carbon Column Observing Network (COCCON)Alberti, Carlos; Hase, Frank; Frey, Matthias, ...
amt-2016-227.pdf.jpg2016Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) XCO2 measurements with TCCON [Discussion paper]Wunch, Debra; Wennberg, Paul O.; Osterman, Gregory, ...
amt-16-2237-2023.pdf.jpg2023Estimation of NO2 emission strengths over Riyadh and Madrid from space from a combination of wind-assigned anomalies and a machine learning techniqueTu, Qiansi; Hase, Frank; Chen, Zihan, ...
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, ...
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, ...
2020GL091987.pdf.jpg2021COVID‐19 crisis reduces free tropospheric ozone across the Northern HemisphereSteinbrecht, Wolfgang; Kubistin, Dagmar; Plass-Dülmer, Christian, ...
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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