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000874550 1001_ $$0P:(DE-Juel1)169794$$aNaz, Bibi S.$$b0$$eCorresponding author
000874550 245__ $$aA 3 km spatially and temporally consistent European daily soil moisture reanalysis from 2000 to 2015
000874550 260__ $$aLondon$$bNature Publ. Group$$c2020
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000874550 520__ $$aHigh-resolution soil moisture (SM) information is essential to many regional applications in hydrological and climate sciences. Many global estimates of surface SM are provided by satellite sensors, but at coarse spatial resolutions (lower than 25 km), which are not suitable for regional hydrologic and agriculture applications. Here we present a 16 years (2000–2015) high-resolution spatially and temporally consistent surface soil moisture reanalysis (ESSMRA) dataset (3 km, daily) over Europe from a land surface data assimilation system. Coarse-resolution satellite derived soil moisture data were assimilated into the community land model (CLM3.5) using an ensemble Kalman filter scheme, producing a 3 km daily soil moisture reanalysis dataset. Validation against 112 in-situ soil moisture observations over Europe shows that ESSMRA captures the daily, inter-annual, intra-seasonal patterns well with RMSE varying from 0.04 to 0.06 m3m−3 and correlation values above 0.5 over 70% of stations. The dataset presented here provides long-term daily surface soil moisture at a high spatiotemporal resolution and will be beneficial for many hydrological applications over regional and continental scales.
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000874550 7001_ $$0P:(DE-Juel1)151405$$aKollet, Stefan$$b1
000874550 7001_ $$0P:(DE-Juel1)138662$$aHendricks-Franssen, Harrie-Jan$$b2
000874550 7001_ $$0P:(DE-Juel1)129506$$aMontzka, Carsten$$b3
000874550 7001_ $$0P:(DE-Juel1)140349$$aKurtz, Wolfgang$$b4
000874550 773__ $$0PERI:(DE-600)2775191-0$$a10.1038/s41597-020-0450-6$$gVol. 7, no. 1, p. 111$$n1$$p111$$tScientific data$$v7$$x2052-4436$$y2020
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