Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/13675
Nitrous Oxide Profiling from Infrared Radiances (NOPIR): algorithm description, application to 10 years of IASI observations and quality assessment
Título : Nitrous Oxide Profiling from Infrared Radiances (NOPIR): algorithm description, application to 10 years of IASI observations and quality assessment
Autor : Vandenbussche, SophieLangerock, BavoVigouroux, CorinneBuschmann, MatthiasDeutscher, Nicholas MichaelFeist, Dietrich G.García Rodríguez, Omaira Elena ORCID RESEARCHERID Autor AEMETHannigan, James W.Hase, FrankKivi, RigelKumps, NicolasMakarova, MariaMillet, Dylan B.Morino, IsamuNagahama, TomooNotholt, JustusOhyama, HirofumiOrtega, IvanPetri, ChristofRettinger, MarkusSchneider, Matthias RESEARCHERID Servais, ChristianSha, Mahesh KumarShiomi, KeiSmale, DanStrong, KimberlySussmann, RalfTe, YaoVelazco, Voltaire A.Vrekoussis, MihalisWarneke, ThorstenWells, Kelley C.Wunch, DebraZhou, MinqiangDe Mazière, Martine
Palabras clave : IASI; Nitrous oxide; Greenhouse gas; Validation; Retrieval
Fecha de publicación : 2022
Editor: MDPI
Citación : Remote Sensing. 2022, 14(8), p. 1-30
Versión del editor: https://doi.org/10.3390/rs14081810
Resumen : Nitrous oxide (N2O) is the third most abundant anthropogenous greenhouse gas (after carbon dioxide and methane), with a long atmospheric lifetime and a continuously increasing concentration due to human activities, making it an important gas to monitor. In this work, we present a new method to retrieve N2O concentration profiles (with up to two degrees of freedom) from each cloud-free satellite observation by the Infrared Atmospheric Sounding Interferometer (IASI), using spectral micro-windows in the N2O n3 band, the Radiative Transfer for TOVS (RTTOV) tools and the Tikhonov regularization scheme. A time series of ten years (2011–2020) of IASI N2O profiles and integrated partial columns has been produced and validated with collocated ground-based Network for the Detection of Atmospheric Composition Change (NDACC) and Total Carbon Column Observing Network (TCCON) data. The importance of consistency in the ancillary data used for the retrieval for generating consistent time series has been demonstrated. The Nitrous Oxide Profiling from Infrared Radiances (NOPIR) N2O partial columns are of very good quality, with a positive bias of 1.8 to 4% with respect to the ground-based data, which is less than the sum of uncertainties of the compared values. At high latitudes, the comparisons are a bit worse, due to either a known bias in the ground-based data, or to a higher uncertainty in both ground-based and satellite retrievals.
URI : http://hdl.handle.net/20.500.11765/13675
ISSN : 2072-4292
Colecciones: Artículos científicos 2019-2022


Ficheros en este ítem:
  Fichero Descripción Tamaño Formato  
RS_2022_vanden.pdf
18,49 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo del ítem



Los ítems de Arcimis están protegidos por una Licencia Creative Commons, salvo que se indique lo contrario.

Repositorio Arcimis
Nota Legal Contacto y sugerencias