Universität zu Köln

Vaquero-Martinez, Javier, Anton, Manuel, Roman, Roberto ORCID: 0000-0003-4889-1781, Cachorro, Victoria E., Wang, Huiqun, Abad, Gonzalo Gonzalez and Ritter, Christoph (2020). Water vapor satellite products in the European Arctic: An inter-comparison against GNSS data. Sci. Total Environ., 741. AMSTERDAM: ELSEVIER. ISSN 1879-1026

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Abstract

The European Arctic is a region of high interest for climate change. Water vapor plays a fundamental role in global warming; therefore, high-quality water vapor monitoring is essential for assimilation in forecast simulations. The seven analyzed instruments on-board satellite platforms are: Atmospheric Infrared Sounder (AIRS), Global Ozone Monitoring Instrument 2 (GOME-2), Moderate-Resolution Imaging Spectroradiometer (MODIS), Ozone Monitoring Instrument (OMI), SCanning Imaging Absorption Spectrometer for Atmospheric Carthography (SCIAMACHY) and Polarization and Directionality of the Earth's Reflectances (POLDER). The GNSS data from Ny-angstrom lesund are matched to satellite observations of IWV in a 30-min temporal window, and 100-km radius. Then, statistics and the distribution of satellite-ground differences under different conditions are studied. The correlation coefficient (R-2) with ground-based measurements is about 0.7 for all products except OMI (R-2= 0.5), and MODIS NIR and POLDER (R-2=0.3). OMI shows high bias and variability compared to the rest of products. RMSE values are of the order of 3 mm for all satellites, except OMI (7 mm) and POLDER (5 mm). Bias (MBE) is negligible for AIRS, close to +1.6 mm for GOME-2 and MODIS IR, +0.8 mm for MODIS NIR, +5.9 mm for OMI, -2.7 mm for POLDER and -1.2 mm for SCIAMCHY. All satellite products tend to overestimate small IWV values and underestimate large IWV values. Variability also increases with IWV. An underestimation of the satellite products and an increase on the variability is generally observed for large Solar Zenith Angle (SZA) values. Under cloudy conditions, underestimation and variability are increased. Seasonal behavior is driven by the typical cloud cover (CC), SZA, and IWV values. In summer, it is typical to find conditions with large IWV, small SZA and large CC values. Therefore, in summer months satellite products are more biased (either positively or negatively) and with more variability, but in relative terms they are less biased and exhibit less variability. (c) 2020 Elsevier B.V. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Vaquero-Martinez, Javier UNSPECIFIED UNSPECIFIED UNSPECIFIED Anton, Manuel UNSPECIFIED UNSPECIFIED UNSPECIFIED Roman, Roberto UNSPECIFIED orcid.org/0000-0003-4889-1781 UNSPECIFIED Cachorro, Victoria E. UNSPECIFIED UNSPECIFIED UNSPECIFIED Wang, Huiqun UNSPECIFIED UNSPECIFIED UNSPECIFIED Abad, Gonzalo Gonzalez UNSPECIFIED UNSPECIFIED UNSPECIFIED Ritter, Christoph UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-313962
DOI:	10.1016/j.scitotenv.2020.140335
Journal or Publication Title:	Sci. Total Environ.
Volume:	741
Date:	2020
Publisher:	ELSEVIER
Place of Publication:	AMSTERDAM
ISSN:	1879-1026
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language GROUND-BASED GPS; METOP-A; VALIDATION; RADIOSONDE; RETRIEVAL; COLUMN; OZONE; INSTRUMENT; SCIAMACHY; MODIS Multiple languages Environmental Sciences Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/31396