The SPARC water vapour assessment II: biases and drifts of water vapour satellite data records with respect to frost point hygrometer records
Artikel i vetenskaplig tidskrift, 2023

Satellite data records of stratospheric water vapour have been compared to balloon-borne frost point hygrometer (FP) profiles that are coincident in space and time. The satellite data records of 15 different instruments cover water vapour data available from January 2000 through December 2016. The hygrometer data are from 27 stations all over the world in the same period. For the comparison, real or constructed averaging kernels have been applied to the hygrometer profiles to adjust them to the measurement characteristics of the satellite instruments. For bias evaluation, we have compared satellite profiles averaged over the available temporal coverage to the means of coincident FP profiles for individual stations. For drift determinations, we analysed time series of relative differences between spatiotemporally coincident satellite and hygrometer profiles at individual stations. In a synopsis we have also calculated the mean biases and drifts (and their respective uncertainties) for each satellite record over all applicable hygrometer stations in three altitude ranges (10-30 hPa, 30-100 hPa, and 100 hPa to tropopause). Most of the satellite data have biases <10 % and average drifts <1 % yr-1 in at least one of the respective altitude ranges. Virtually all biases are significant in the sense that their uncertainty range in terms of twice the standard error of the mean does not include zero. Statistically significant drifts (95 % confidence) are detected for 35 % of the ≈ 1200 time series of relative differences between satellites and hygrometers.

Författare

M. Kiefer

Karlsruher Institut für Technologie (KIT)

D. Hurst

National Oceanic and Atmospheric Administration

University of Colorado at Boulder

G. P. Stiller

Karlsruher Institut für Technologie (KIT)

Stefan Lossow

Karlsruher Institut für Technologie (KIT)

Holger Vömel

National Center for Atmospheric Research

John Anderson

Hampton University

F. Azam

Universität Bremen

Deutsches Zentrums für Luft- und Raumfahrt (DLR)

Jean Loup Bertaux

Université Pierre et Marie Curie (UPMC)

Laurent Blanot

ACRI-ST

K. Bramstedt

Universität Bremen

J. Burrows

Universität Bremen

R. Damadeo

NASA Langley Research Center

B. M. Dinelli

Institute of Atmospheric Sciences and Climate, Bologna

Patrick Eriksson

Chalmers, Rymd-, geo- och miljövetenskap, Geovetenskap och fjärranalys

M. Garcia-Comas

Instituto de Astrofisica de Andalucía (IAA)

John C. Gille

National Center for Atmospheric Research

University of Colorado at Boulder

M.E. Hervig

GATS, Inc.

Y. Kasai

Japan National Institute of Information and Communications Technology

F. Khosrawi

Karlsruher Institut für Technologie (KIT)

Forschungszentrum Jülich

Donal Murtagh

Chalmers, Rymd-, geo- och miljövetenskap, Geovetenskap och fjärranalys

G.E. Nedoluha

Naval Research Laboratory

S. Noël

Universität Bremen

P. Raspollini

Consiglo Nazionale Delle Richerche

W.G. Read

California Institute of Technology (Caltech)

Karen H. Rosenlof

National Oceanic and Atmospheric Administration

Alexei Rozanov

Universität Bremen

C. E. Sioris

York University, Centre For Research in Earth and Space Science

Takafumi Sugita

National Institute for Environmental Studies of Japan

T. von Clarmann

Karlsruher Institut für Technologie (KIT)

K.A. Walker

University of Toronto

K. Weigel

Deutsches Zentrums für Luft- und Raumfahrt (DLR)

Universität Bremen

Atmospheric Measurement Techniques

1867-1381 (ISSN) 1867-8548 (eISSN)

Vol. 16 19 4589-4642

Ämneskategorier

Meteorologi och atmosfärforskning

DOI

10.5194/amt-16-4589-2023

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Senast uppdaterat

2024-05-30