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DOI

  • Sophie Vandenbussche
  • Bavo Langerock
  • Corinne Vigouroux
  • Matthias Buschmann
  • Nicholas M. Deutscher
  • Dietrich G. Feist
  • Omaira García
  • James W. Hannigan
  • Frank Hase
  • Rigel Kivi
  • Nicolas Kumps
  • Dylan B. Millet
  • Isamu Morino
  • Tomoo Nagahama
  • Justus Notholt
  • Hirofumi Ohyama
  • Ivan Ortega
  • Christof Petri
  • Markus Rettinger
  • Matthias Schneider
  • Christian P. Servais
  • Mahesh Kumar Sha
  • Kei Shiomi
  • Dan Smale
  • Kimberly Strong
  • Ralf Sussmann
  • Yao Té
  • Voltaire A. Velazco
  • Mihalis Vrekoussis
  • Thorsten Warneke
  • Kelley C. Wells
  • Debra Wunch
  • Minqiang Zhou
  • Martine De Mazière

Nitrous oxide (N 2 O) 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 N 2 O 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 N 2 O ν 3 band, the Radiative Transfer for TOVS (RTTOV) tools and the Tikhonov regularization scheme. A time series of ten years (2011–2020) of IASI N 2 O 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) N 2 O 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.

Язык оригиналаанглийский
Номер статьи1810
ЖурналRemote Sensing
Том14
Номер выпуска8
DOI
СостояниеОпубликовано - 1 апр 2022

    Предметные области Scopus

  • Планетоведение и науки о земле (все)

ID: 94232416