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Resultados 21-30 de 38.
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Vista previaFecha de publicaciónTítuloAutor(es)
amtd-3-3987-2010.pdf.jpg2010Remote sensing of water vapour profiles in the framework of the Total Carbon Column Observing Network (TCCON) [Discussion paper]Schneider, Matthias; Sepúlveda Hernández, Eliezer; García Rodríguez, Omaira Elena, ...
amt-8-1555-2015-1.pdf.jpg2015Using XCO2 retrievals for assessing the long-term consistency of NDACC/FTIR data setsBarthlott, Sabine; Schneider, Matthias; Hase, Frank, ...
amt-2021-67.pdf.jpg2021Improved ozone monitoring by ground-based FTIR spectrometryGarcía Rodríguez, Omaira Elena; Sanromá, Esther; Schneider, Matthias, ...
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-9-4471-2016.pdf.jpg2016Intercomparison of stratospheric nitrogen dioxide columns retrieved from ground-based DOAS and FTIR and satellite DOAS instruments over the subtropical Izana stationRobles González, Cristina; Navarro Comas, Mónica; Puentedura, Olga, ...
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, ...
acpd-14-24623-2014.pdf.jpg2014Trends of ozone total columns and vertical distribution from FTIR observations at 8 NDACC stations around the globe [Discussion paper]Vigouroux, Corinne; Blumenstock, Thomas; Coffey, M., ...
amtd-5-5357-2012.pdf.jpg2012Ground-based remote sensing of tropospheric water vapour isotopologues within the project MUSICA [Discussion paper]Schneider, Matthias; Barthlott, Sabine; Hase, Frank, ...
JGRA-2022-Hannigan.pdf.jpg2022Global Atmospheric OCS Trend Analysis From 22 NDACC StationsHannigan, James W.; Ortega, Ivan; Shams, Shima Bahramvash, ...
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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