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Soil moisture deficit during the vegetation growing season, annual time-series, 2000-2019

Data
Prod-ID: DAT-247-en
Created 22 Dec 2020 Published 22 Dec 2020 Last modified 01 Sep 2021
1 min read
The dataset consists of a collection of annual soil moisture (SM) anomalies during the vegetation growing season (GS) for the years 2000-2019 across EEA 38 area and the United Kingdom. The vegetation growing season is defined by EEA´s phenology data series "Vegetation growing season length 2000-2016" [https://www.eea.europa.eu/data-and-maps/data/annual-above-ground-vegetation-season]. The anomalies are calculated based on the European Commission's Joint Research Centre European Drought Observatory (EDO) Soil Moisture Index (SMI) with respect to the 1995–2019 base period. The yearly start and end of GS periods are dynamic and calculated according to the EEA Phenology Indicators. A positive anomaly indicates that the observed SM was wetter than the long-term SM average for the base period, while a negative anomaly indicates that the observed SM was drier than the reference value. Because SM anomalies are measured in units of standard deviation from the long-term SMI average, they can be used to compare annual deficits/surplus of SM between geographic regions. EDO is one of the early warning and monitoring systems of the Copernicus Emergency Management Service. As the dataset builds on EDO's SMI, it therefore contains modified Copernicus Emergency Management Service information (2019).

European data

Soil moisture deficit during the vegetation growing season, annual time-series, 2000-2019
  • Soil moisture deficit during the vegetation growing season, annual time-series, 2000-2019
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  • Soil moisture deficit during the vegetation growing season, annual time-series, 2000-2019 - INSPIRE metadata
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information.png Reporting obligations (ROD)
  • Not applicable
information.png Rights:
EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: European Environment Agency (EEA).
information.png Data sources

- European Commission's Joint Research Centre European Drought Observatory (EDO) Soil Moisture Index (SMI): https://edo.jrc.ec.europa.eu/documents/factsheets/factsheet_soilmoisture.pdf
- Annual above ground vegetation season length time-series 2000-2016 - version 1, Aug. 2018:
https://www.eea.europa.eu/data-and-maps/data/annual-above-ground-vegetation-season

information.png Owners:
European Environment Agency (EEA)
information.png Processors:
European Environment Agency (EEA)
 

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Produced Indicators

Produced figures

Figure Water intensity of crop production in Europe, 2007-2016 • Total water input is expressed in m3/ha and gross value added is expressed in purchasing power standard (PPS)/ha, where the area in ha represents the sum of arable land and land with permanent crops. The monetary unit being used (PPS) accounts for purchasing power differences among countries. Theoretically, one PPS can buy the same amount of goods and services in each country. • Water use intensity of crop production is classified at the regional level according to the quartile (Q) distribution of all time series (2005-2016): below Q1 (light blue) indicates a low water intensity of crop production; above Q3 (dark blue) indicates a high water intensity of crop production; and between Q1 and Q3 (mid-blue) indicates a moderate water intensity of crop production. • Regional groupings of EU Member States and the UK are based on UN Geoscheme — Standard M49: eastern Europe (Bulgaria, Czechia, Hungary, Poland, Romania and Slovakia), northern Europe (Denmark, Estonia, Finland, Ireland, Lithuania, Latvia, Sweden and the United Kingdom), southern Europe (Cyprus, Greece, Croatia, Italy, Malta, Portugal, Slovenia and Spain) and western Europe (Austria, Belgium, Germany, France, Luxembourg and the Netherlands). • Gap filling has been performed for certain years and countries: 2010 data have been used for 2011 Greece data; 2006 data have been used for 2007 Hungary data; 2005 data have been used for 2007 Luxembourg data; 2009 data have been used for 2010 Portugal data; 2015 data have been used for 2016 Sweden data.
Figure Long term average soil moisture and soil moisture trends, 2000-2019 The maps show the long-term average soil moisture contents (left) and the trends in soil moisture values (right), aggregated by NUTS3 regions. Soil moisture is equal to 0 when the soil is severely dry (wilting point) and equal to 1 when the soil moisture is above the field capacity. Low long-term average soil moisture values indicate areas where during the 2000-2019 period the soil moisture deficit was the biggest problem. Trends are expressed in standard deviation from the long term average. Negative trends indicate that soil moisture values show a decreasing tendency during the 2000-2019 period. Areas with lower soil moisture content together with decreasing tendency in the soil moisture are in risk of loosing their land functions of supplying ecosystem services. See also: https://www.eea.europa.eu/data-and-maps/data/data-viewers/soil-moisture and Original dataset: https://edo.jrc.ec.europa.eu/documents/factsheets/factsheet_soilmoisture.pdf

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/soil-moisture-deficit-during-the or scan the QR code.

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