000005691 001__ 5691
000005691 005__ 20220413124631.0
000005691 0247_ $$2DOI$$a10.3390/rs14041050
000005691 037__ $$aSCART-2022-0042
000005691 100__ $$aVan Malderen, Roeland
000005691 245__ $$aGlobal Spatiotemporal Variability of Integrated Water Vapor Derived from GPS, GOME/SCIAMACHY and ERA-Interim: Annual Cycle, Frequency Distribution and Linear Trends
000005691 260__ $$c2022
000005691 520__ $$aAtmospheric water vapor plays a prominent role in climate change and atmospheric, meteorological, and hydrological processes. Because of its high spatiotemporal variability, precise quantification of water vapor is challenging. This study investigates Integrated Water Vapor (IWV) variability for the period 1995–2010 at 118 globally distributed Global Positioning System (GPS) sites, using additional UV/VIS satellite retrievals by GOME, SCIAMACHY, and GOME-2 (denoted as GOMESCIA below), plus ERA-Interim reanalysis output. Apart from spatial representativeness differences, particularly at coastal and island sites, all three IWV datasets correlate well with the lowest mean correlation coefficient of 0.878 (averaged over all the sites) between GPS and GOMESCIA. We confirm the dominance of standard lognormal distribution of the IWV time series, which can be explained by the combination of a lower mode (dry season characterized by a standard lognormal distribution with a low median value) and an upper mode (wet season characterized by a reverse lognormal distribution with high median value) in European, Western American, and subtropical sites. Despite the relatively short length of the time series, we found a good consistency in the sign of the continental IWV trends, not only between the different datasets, but also compared to temperature and precipitation trends.
000005691 594__ $$aSTCE
000005691 6531_ $$aGNSS
000005691 6531_ $$aintegrated water vapor
000005691 6531_ $$aclimate change
000005691 6531_ $$aspatiotemporal
000005691 6531_ $$alognormal distribution
000005691 6531_ $$aERA-Interim
000005691 6531_ $$aGOMESCIA
000005691 700__ $$aPottiaux, Eric
000005691 700__ $$aStankunavicius, Gintautas
000005691 700__ $$aBeirle, Steffen
000005691 700__ $$aWagner, Thomas
000005691 700__ $$aBrenot, Hugues
000005691 700__ $$aBruyninx, Carine
000005691 700__ $$aJones, Jonathan
000005691 773__ $$n4$$pRemote Sensing$$v14
000005691 8560_ $$feric.pottiaux@observatoire.be
000005691 85642 $$ahttps://www.mdpi.com/2072-4292/14/4/1050
000005691 8564_ $$s9520050$$uhttp://publi2-as.oma.be/record/5691/files/remotesensing-14-01050-v2.pdf
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000005691 8564_ $$s4975$$uhttp://publi2-as.oma.be/record/5691/files/remotesensing-14-01050-v2.jpg?subformat=icon-180$$xicon-180
000005691 905__ $$apublished in
000005691 980__ $$aREFERD