Busqueda
Filtros actuales:


Utiliza filtros para refinar los resultados de busqueda.

Resultados 1-10 de 45.
Resultados por ítem:
Vista previaFecha de publicaciónTítuloAutor(es)
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, ...
acpd-8-4977-2008.pdf.jpg2008Quality assessment of O3 profiles measured by a state-of-the-art ground-based FTIR observing system [Discussion paper]Schneider, Matthias; Hase, Frank; Blumenstock, Thomas, ...
acp-8-5535-2008.pdf.jpg2008Comparison of ground-based Brewer and FTIR total column O3 monitoring techniquesSchneider, Matthias; Redondas, Alberto; Hase, Frank, ...
amt-2021-67.pdf.jpg2021Improved ozone monitoring by ground-based FTIR spectrometryGarcía Rodríguez, Omaira Elena; Sanromá, Esther; Schneider, Matthias, ...
essd-9-15-2017.pdf.jpg2017Tropospheric water vapour isotopologue data (H216O, H218O, and HD16O) as obtained from NDACC/FTIR solar absorption spectraBarthlott, Sabine; Schneider, Matthias; Hase, Frank, ...
acp-17-2255-2017.pdf.jpg2017The recent increase of atmospheric methane from 10 years of ground-based NDACC FTIR observations since 2005Bader, Whitney; Bovy, Benoît; Conway, Stephanie, ...
amtd-7-3915-2014.pdf.jpg2014The MUSICA MetOp/IASI H2O and δD products: characterisation and long-term comparison to NDACC/FTIR data [Discussion paper]Wiegele, Andreas; Schneider, Matthias; Hase, Frank, ...
amtd-8-13729-2015.pdf.jpg2015Consistency and quality assessment of the Metop-A/IASI and Metop-B/IASI operational trace gas products (O3, CO, N2O, CH4 and CO2) in the Subtropical North Atlantic [Discussion paper]García Rodríguez, Omaira Elena; Sepúlveda Hernández, Eliezer; Schneider, Matthias, ...
amt-15-2557-2022.pdf.jpg2022Improved ozone monitoring by ground-based FTIR spectrometryGarcía Rodríguez, Omaira Elena; Sanromá, Esther; Schneider, Matthias, ...
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, ...
Repositorio Arcimis
Nota Legal Contacto y sugerencias