Citation:

PANGAEA.907036

Name: ESSMRA V1.1: 3 km surface soil moisture reanalysis over Europe ( 2000 - 2015)
Published: 2019-10-01
License: https://creativecommons.org/licenses/by/4.0/

Always quote citation above when using data! You can download the citation in several formats below.

Published: 2019-10-01 • DOI registered: 2019-10-31

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Abstract:

High-resolution soil moisture (SM) information is essential to many applications in hydrological and climate sciences. Here we present a 16 years (2000-2015) high-resolution surface soil moisture reanalysis (ESSMRA) dataset over Europe from a land surface data assimilation system. Satellite-derived soil moisture data from the European Space Agency Climate Change Initiative (ESA CCI) were assimilated into the community land surface model (CLM) using an ensemble Kalman filter data assimilation scheme, producing a 3 km daily soil moisture reanalysis dataset. Comparisons with the independent in-situ soil moisture observations supported the reliability of the dataset in capturing daily, inter-annual and intra-seasonal patterns. The dataset presented here provides surface soil moisture at a high sptiotemporal resolution which is important not only for research in agriculture, flood and drought forecast, land cover changes, and modeling of the regional carbon and water cycles, but can also be useful to validate soil moisture estimates from other modeling studies.

Coverage:

Latitude: 54.000000 * Longitude: 14.800000

Event(s):

Europe * Latitude: 54.000000 * Longitude: 14.800000

Parameter(s):

#	Name	Short Name	Unit	Principal Investigator
1	File name	File name		Naz, Bibi S
2	File format	File format		Naz, Bibi S
3	File size	File size	kByte	Naz, Bibi S
4	Uniform resource locator/link to file	URL file		Naz, Bibi S

License:

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Size:

768 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

1 File name	2 File format	3 File size [kByte]	4 URL file
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EU_ESSMRA_daily_ensmean_CLM-PDAF_3Km_v1.200003.nc	NC	297670	EU_ESSMRA_daily_ensmean_CLM-PDAF_3Km_v1.200003.nc
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