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Vista previaFecha de publicaciónTítuloAutor(es)
amt-2018-146.pdf.jpg2018Building the COllaborative Carbon Column Observing Network (COCCON): Long term stability and ensemble performance of the EM27/SUN Fourier transform spectrometer [Discussion paper]Frey, Matthias; Sha, Mahesh Kumar; Hase, Frank, ...
amtd-5-1381-2012.pdf.jpg2012Long-term validation of tropospheric column-averaged CH4 mole fractions obtained by mid-infrared ground-based FTIR spectrometry [Discussion paper]Sepúlveda Hernández, Eliezer; Schneider, Matthias; Hase, Frank, ...
acp-17-10675-2017.pdf.jpg2017An update on ozone profile trends for the period 2000 to 2016Steinbrecht, Wolfgang; Froidevaux, Lucien; Fuller, Ryan, ...
amtd-2-1625-2009.pdf.jpg2009Continuous quality assessment of atmospheric water vapour measurement techniques: FTIR, Cimel, MFRSR, GPS, and Vaisala RS92 [Discussion paper]Schneider, Matthias; Romero Campos, Pedro Miguel; Hase, Frank, ...
amt-10-2209-2017.pdf.jpg2017Comparisons of the Orbiting Carbon Observatory-2 (OCO-2) XCO2 measurements with TCCONWunch, Debra; Wennberg, Paul O.; Osterman, Gregory, ...
acp-7-3639-2007.pdf.jpg2007Bias determination and precision validation of ozone profiles from MIPAS-Envisat retrieved with the IMK-IAA processorSteck, Tobias; Clarmann, Thomas von; Fischer, H., ...
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-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, ...
acpd-7-4427-2007.pdf.jpg2007Bias determination and precision validation of ozone profiles from MIPAS-Envisat retrieved with the IMK-IAA processor [Discussion paper]Steck, Tobias; Clarmann, Thomas von; Fischer, H., ...
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, ...
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