TY - JOUR

T1 - Nitrous Oxide Profiling from Infrared Radiances (NOPIR): Algorithm Description, Application to 10 Years of IASI Observations and Quality Assessment

AU - Vandenbussche, Sophie

AU - Langerock, Bavo

AU - Vigouroux, Corinne

AU - Buschmann, Matthias

AU - Deutscher, Nicholas M.

AU - Feist, Dietrich G.

AU - García, Omaira

AU - Hannigan, James W.

AU - Hase, Frank

AU - Kivi, Rigel

AU - Kumps, Nicolas

AU - Makarova, Maria

AU - Millet, Dylan B.

AU - Morino, Isamu

AU - Nagahama, Tomoo

AU - Notholt, Justus

AU - Ohyama, Hirofumi

AU - Ortega, Ivan

AU - Petri, Christof

AU - Rettinger, Markus

AU - Schneider, Matthias

AU - Servais, Christian P.

AU - Sha, Mahesh Kumar

AU - Shiomi, Kei

AU - Smale, Dan

AU - Strong, Kimberly

AU - Sussmann, Ralf

AU - Té, Yao

AU - Velazco, Voltaire A.

AU - Vrekoussis, Mihalis

AU - Warneke, Thorsten

AU - Wells, Kelley C.

AU - Wunch, Debra

AU - Zhou, Minqiang

AU - De Mazière, Martine

N1 - Publisher Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2022/4/1

Y1 - 2022/4/1

N2 - 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.

AB - 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.

KW - IASI

KW - greenhouse gas

KW - nitrous oxide

KW - retrieval

KW - validation

UR - http://www.scopus.com/inward/record.url?scp=85128758049&partnerID=8YFLogxK

U2 - https://doi.org/10.3390/rs14081810

DO - https://doi.org/10.3390/rs14081810

M3 - Article

VL - 14

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

IS - 8

M1 - 1810

ER -