TY  - JOUR
AU  - Naz, Bibi S.
AU  - Kollet, Stefan
AU  - Hendricks-Franssen, Harrie-Jan
AU  - Montzka, Carsten
AU  - Kurtz, Wolfgang
TI  - A 3 km spatially and temporally consistent European daily soil moisture reanalysis from 2000 to 2015
JO  - Scientific data
VL  - 7
IS  - 1
SN  - 2052-4436
CY  - London
PB  - Nature Publ. Group
M1  - FZJ-2020-01504
SP  - 111
PY  - 2020
AB  - High-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.
LB  - PUB:(DE-HGF)16
C6  - pmid:32245972
UR  - <Go to ISI:>//WOS:000524313800001
DO  - DOI:10.1038/s41597-020-0450-6
UR  - https://juser.fz-juelich.de/record/874550
ER  -