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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, ...
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., ...
amt-2016-41.pdf.jpg2016Nitrogen dioxide stratospheric column at the subtropical NDACC station of Izaña from DOAS, FTIR and satellite instrumentation [Discussion paper]Robles González, Cristina; Navarro Comas, Mónica; Puentedura, Olga, ...
JGRA-2022-Hannigan.pdf.jpg2022Global Atmospheric OCS Trend Analysis From 22 NDACC StationsHannigan, James W.; Ortega, Ivan; Shams, Shima Bahramvash, ...
amt-2021-36.pdf.jpg2021Validation of methane and carbon monoxide from Sentinel-5 Precursor using TCCON and NDACC-IRWG stationsSha, Mahesh Kumar; Langerock, Bavo; Blavier, Jean-François L., ...
amt-12-1513-2019.pdf.jpg2019Building the COllaborative Carbon Column Observing Network (COCCON): long-term stability and ensemble performance of the EM27/SUN Fourier transform spectrometerFrey, Matthias; Sha, Mahesh Kumar; Hase, Frank, ...
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-11-4171-2018.pdf.jpg2018The MUSICA IASI CH4 and N2O products and their comparison to HIPPO, GAW and NDACC FTIR referencesGarcía Rodríguez, Omaira Elena; Schneider, Matthias; Ertl, Benjamin, ...
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, ...
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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