Busqueda
Filtros actuales:



Utiliza filtros para refinar los resultados de busqueda.

Resultados 11-20 de 26.
Resultados por ítem:
Vista previaFecha de publicaciónTítuloAutor(es)
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-2021-31.pdf.jpg2021Synergetic use of IASI and TROPOMI space borne sensors for generating a tropospheric methane profile productSchneider, Matthias; Ertl, Benjamin; Diekmann, Christopher, ...
amt-2020-403.pdf.jpg2020The Adaptable 4A Inversion (5AI): Description and first XCO2 retrievals from OCO-2 observations [Discussion paper]Dogniaux, Matthieu; Crevoisier, Cyril; Armante, Raymond, ...
essd-14-709-2022.pdf.jpg2022Design and description of the MUSICA IASI full retrieval productSchneider, Matthias; Ertl, Benjamin; Diekmann, Christopher, ...
feart-11-1062699.pdf.jpg2023Combined direct-sun ultraviolet and infrared spectroscopies at Popocatépetl volcano (Mexico)Taquet, Noémie; Rivera Cárdenas, Claudia Inés; Stremme, Wolfgang, ...
RS_2022_vanden.pdf.jpg2022Nitrous Oxide Profiling from Infrared Radiances (NOPIR): algorithm description, application to 10 years of IASI observations and quality assessmentVandenbussche, Sophie; Langerock, Bavo; Vigouroux, Corinne, ...
essd_13_5273_2021.pdf.jpg2021The global and multi-annual MUSICA IASI {H2O, δD} pair datasetDiekmann, Christopher; 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, ...
Monitorizacion_concentraciones_Garcia.pdf.jpg2020Monitorización de las concentraciones atmosféricas de metano y óxido nitroso a partir del Metop/IASIGarcía Rodríguez, Omaira Elena; Schneider, Matthias; Ertl, Benjamin, ...
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