Environmental Data Platform

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Results: 39 items found
Factor distance to water
Distance [m] is calculated at each location to the nearest lakes, water reservoirs, and rivers. Rivers were filtered to Strahler order greater than 3.

OpenEO

collection,Distance to large water bodies,ADO project,ADO,cct,N/A,Land use,Land cover

Soil Moisture Anomalies - ERA5_QM
The Soil Moisture Anomaly is a drought indicator used to detect and monitor agricultural drought conditions, defined by a prolonged period of deficit in the availability of soil moisture to plants. The soil moisture anomalies provided as part of the Alpine Drought Observatory was derived from ERA5 Volumetric Soil Water Layers at different depths with Layer 1 (0-7cm), Layer 2 (7-28cm), Layer 3 (28–100cm), and Layer 4 (100-289cm). The input ERA5 soil moisture dataset was downscaled using a quantile mapping approach. Daily anomalies were calculated using a climatological mean and standard deviation of soil moisture from a smoothed time-series (running mean on a 10-day window) for a reference period of 1981–2020. The Soil Moisture Anomalies values range from -5 to +5, with negative values indicating drier than conditions while positive values indicate wetter than normal conditions, and -1 to +1 values indicates near-normal conditions. Datasets contains modified Copernicus Climate Change Service Information [1980–current year]; contains modified Copernicus Atmosphere Monitoring Service Information [1980-current year]. Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains.

OpenEO

collection,Soil Moisture,Alpine Drought Observatory,Soil Moisture Anomalies,ERA5,Collection,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1979, 1 p.m. May 27, 2024, 2 p.m.

Factor presence of irrigation infrastructure
Permanently irrigated agricultural land is based on the corine land cover 2018 (CLC) from Copernicus. It has been extracted the permanent irrigated class, which is the class 12 in the CLC raster. The output is a binary raster, whereas 1 corresponds for permanent irrigated land and 0 corresponds to not permanent irrigated land.

OpenEO

collection,permanent irrigated land,presence of irrigation infrastructure,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Precipitation Index - ERA5_QM SPI-6
The Standardized Precipitation Index (SPI) represents a standardized measure of what a certain amount of precipitation over the selected time period means in relation to expected amount of precipitation for this period. SPI is used on different time scales (1, 2, 3, 6, 12 months). The value of the SPI index around 0 represents the normal expected conditions regarding the amount of precipitation in the selected time scale compared to the long-term average (1981-2020). Value 1 represents approximately one standard deviation of precipitation amount during wet conditions and -1 denotes about one standard deviation of precipitation amount during dry conditions. Drought is usually defined as period when SPI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPI,standardised precipitation index,precipitation anomalies,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1978, 1 p.m. April 24, 2019, 2 p.m.

Vegetation Condition Index - 231 m 8 days
The Vegetation Condition Index (VCI) is based on the Normalized Difference Vegetation Index (NDVI) derived from MODIS satellite data. The NDVI is based on 8 day maximum value composite MOD09Q1 (v006) reflectance products. The spatial resolution is 231 m. The NDVI is masked to the highest quality standards using the provided quality layers. Missing pixel values in the time series are linearly interpolated. Non-vegetated areas are masked using the most recent Corine Land Cover product version for the according year. The final product is regridded to the LAEA Projection (EPSG:3035). The VCI is calculated using the formula VCIi = (NDVIi - NDVImin,i)/(NDVImax,i - NDVImin,i) * 100. The VCI expresses anomalies of the NDVI. The data is provided as 8 day measures. The time series is starting from 2001. The VCI values range from 0-100, whereas high values correspond to healthy vegetation and low values indicate stressed vegetation.

OpenEO

collection,vegetation condition index,vci,modis,ADO project,ADO,Terra,Land use,Land cover

Jan. 1, 2001, 1 a.m. Aug. 29, 2022, 2 a.m.

Standardised Precipitation-Evapotranspiration Index - ERA5_QM SPEI-3
The Standardized Precipitation-Evapotranspiration Index (SPEI) represents a standardized measure of what a certain value of surface water balance (precipitation minus potential evapotranspiration) over the selected time period means in relation to expected value of surface water balance for this period. SPEI is calculated on different time scales (1, 2, 3, 6, 12 months). The value of the SPEI index around 0 represents the normal expected conditions for the surface water balance in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus in the surface water balance, while the value of -1 is about one standard deviation of the deficit. Drought is usually defined as period when SPEI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping.Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPEI,standardised precipitation-evapotranspiration index,surface water balance anomalies,ERA5,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1978, 1 p.m. Oct. 2, 2023, 2 p.m.

Standardised Precipitation Index - ERA5_QM SPI-2
The Standardized Precipitation Index (SPI) represents a standardized measure of what a certain amount of precipitation over the selected time period means in relation to expected amount of precipitation for this period. SPI is used on different time scales (1, 2, 3, 6, 12 months). The value of the SPI index around 0 represents the normal expected conditions regarding the amount of precipitation in the selected time scale compared to the long-term average (1981-2020). Value 1 represents approximately one standard deviation of precipitation amount during wet conditions and -1 denotes about one standard deviation of precipitation amount during dry conditions. Drought is usually defined as period when SPI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPI,standardised precipitation index,precipitation anomalies,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1978, 1 p.m. Oct. 2, 2023, 2 p.m.

Factor slope
Slope derived from EU-DEM version 1.0. year: 2000. For further information visit: https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1-0-and-derived-products/slope?tab=metadata

OpenEO

collection,Slope,Copernicus,Land,Elevation,Digital Elevation Model,Copernicus Land,Pan-European,ADO project,ADO,cct,N/A,Land use,Land cover

Normalized Difference Vegetation Index - 231m 8 day Maximum Value Composite
The Normalized Difference Vegetation Index (NDVI) is based on MODIS satellite data. The NDVI is based on 8 day maximum value composite MOD09Q1 (v006) reflectance products. The spatial resolution is 231 m. The NDVI is masked to the highest quality standards using the provided quality layers. Missing pixel values in the time series are linearly interpolated. Non-vegetatated areas are masked using the MODIS land cover product layer MCD12Q1 FAO-Land Cover Classification System 1 (LCCS1). The final product is regridded to the LAEA Projection (EPSG:3035). The NDVI is calculated using the formula NDVI = (NIR - Red) / (NIR + Red). The NDVI expresses the vitality of vegetation. The data is provided as 8 day measures. The time series is starting from 2001. The NDVI values range from -1 - 1, whereas high values correspond to healthy vegetation.

OpenEO

collection,normalized difference vegetation index,ndvi,modis,ADO project,ADO,Terra,Land use,Land cover

Jan. 1, 2001, 1 a.m. Jan. 3, 2021, 1 a.m.

Factor humus content
Organic Carbon Content In Topsoils In Europe (OCTOP) - ESDAC makes available the Maps of Organic carbon content (%) in the surface horizon of soils in Europe. Resolution: 1 km - Year: 2004. The result is available as a map and an explaining booklet: The Map of Organic Carbon Content In Topsoils In Europe: Version 1.2 September - 2003 (S.P.I.04.72).

OpenEO

collection,soil Organic Carbon,Carbon content,ESDAC,topsoil,SOC,ADO project,ADO,cct,N/A,Land use,Land cover

Factor available water capacity
USDA soil property map: available water capacity. - Resolution: 500m - Geographical Coverage: Alpine space - Input data: LUCAS 2009 Topsoil- Model: Multivariate Additive Regression Splines (MARS) - Year: 2015. For further information visit the website European soil data centre (ESDAC).

OpenEO

collection,soil map,available water capacity,ESDAC,LUCAS,topsoil,ADO project,ADO,cct,N/A,Land use,Land cover

Factor elevation
ADO_elevation is a digital surface model (DSM). For further information visit website copernicus land monitoring service: https://land.copernicus.eu/imagery-in-situ/eu-dem/eu-dem-v1-0-and-derived-products/eu-dem-v1.0?tab=metadata

OpenEO

collection,Digital Elevation Model,Elevation,Copernicus Land,Copernicus,Alps,ADO project,ADO,cct,N/A,Land use,Land cover

Standardised Precipitation Index - ERA5_QM SPI-12
The Standardized Precipitation Index (SPI) represents a standardized measure of what a certain amount of precipitation over the selected time period means in relation to expected amount of precipitation for this period. SPI is used on different time scales (1, 2, 3, 6, 12 months). The value of the SPI index around 0 represents the normal expected conditions regarding the amount of precipitation in the selected time scale compared to the long-term average (1981-2020). Value 1 represents approximately one standard deviation of precipitation amount during wet conditions and -1 denotes about one standard deviation of precipitation amount during dry conditions. Drought is usually defined as period when SPI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPI,standardised precipitation index,precipitation anomalies,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1978, 1 p.m. Oct. 2, 2023, 2 p.m.

Standardised Precipitation-Evapotranspiration Index - ERA5_QM SPEI-2
The Standardized Precipitation-Evapotranspiration Index (SPEI) represents a standardized measure of what a certain value of surface water balance (precipitation minus potential evapotranspiration) over the selected time period means in relation to expected value of surface water balance for this period. SPEI is calculated on different time scales (1, 2, 3, 6, 12 months). The value of the SPEI index around 0 represents the normal expected conditions for the surface water balance in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus in the surface water balance, while the value of -1 is about one standard deviation of the deficit. Drought is usually defined as period when SPEI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPEI,standardised precipitation-evapotranspiration index,surface water balance anomalies,ERA5,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1978, 1 p.m. Oct. 2, 2023, 2 p.m.

Factor landscape diversity
Shannon eveness index provides information on area composition and richness ranging from 0 to 1. It is calculated considering 9 Corine Land Cover classes of numeric matrices using a moving window algorithm of 5 pixels side and dividing this result by its maximum.

OpenEO

collection,landscape diversity,Shannon eveness index,ADO project,ADO,cct,N/A,Land use,Land cover

Factor soil texture
USDA soil textural classes derived from clay, silt and sand maps. - Resolution: 500m - Geographical Coverage: Alpine space - Input data: LUCAS 2009 Topsoil- Model: Multivariate Additive Regression Splines (MARS) - Year: 2015- Soil texture is classified into 12 classes: 1: Clay, 2: Silty-Clay, 3: Silty Clay-Loam, 4: Sandy Clay, 5: Sandy Clay-Loam, 6: Clay-Loam, 7: Silt, 8: Silt-Loam, 9: Loam, 10: Sand, 11: Loam Sand, 12: Sandy Loam. For further information visit the website European soil data centre (ESDAC).

OpenEO

collection,soil texture,soil textural classes,ESDAC,LUCAS,topsoil,ADO project,ADO,N/A,Land use,Land cover

Standardised Precipitation-Evapotranspiration Index - ERA5_QM SPEI-6
The Standardized Precipitation-Evapotranspiration Index (SPEI) represents a standardized measure of what a certain value of surface water balance (precipitation minus potential evapotranspiration) over the selected time period means in relation to expected value of surface water balance for this period. SPEI is calculated on different time scales (1, 2, 3, 6, 12 months). The value of the SPEI index around 0 represents the normal expected conditions for the surface water balance in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus in the surface water balance, while the value of -1 is about one standard deviation of the deficit. Drought is usually defined as period when SPEI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPEI,standardised precipitation-evapotranspiration index,surface water balance anomalies,ERA5,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1978, 1 p.m. Oct. 2, 2023, 2 p.m.

Standardised Precipitation Index - ERA5_QM SPI-3
The Standardized Precipitation Index (SPI) represents a standardized measure of what a certain amount of precipitation over the selected time period means in relation to expected amount of precipitation for this period. SPI is used on different time scales (1, 2, 3, 6, 12 months). The value of the SPI index around 0 represents the normal expected conditions regarding the amount of precipitation in the selected time scale compared to the long-term average (1981-2020). Value 1 represents approximately one standard deviation of precipitation amount during wet conditions and -1 denotes about one standard deviation of precipitation amount during dry conditions. Drought is usually defined as period when SPI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPI,standardised precipitation index,precipitation anomalies,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1978, 1 p.m. Oct. 2, 2023, 2 p.m.

Standardised Precipitation Index - ERA5_QM SPI-1
The Standardized Precipitation Index (SPI) represents a standardized measure of what a certain amount of precipitation over the selected time period means in relation to expected amount of precipitation for this period. SPI is used on different time scales (1, 2, 3, 6, 12 months). The value of the SPI index around 0 represents the normal expected conditions regarding the amount of precipitation in the selected time scale compared to the long-term average (1981-2020). Value 1 represents approximately one standard deviation of precipitation amount during wet conditions and -1 denotes about one standard deviation of precipitation amount during dry conditions. Drought is usually defined as period when SPI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPI,standardised precipitation index,precipitation anomalies,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1978, 1 p.m. Oct. 2, 2023, 2 p.m.

Standardised Precipitation-Evapotranspiration Index - ERA5_QM SPEI-12
The Standardized Precipitation-Evapotranspiration Index (SPEI) represents a standardized measure of what a certain value of surface water balance (precipitation minus potential evapotranspiration) over the selected time period means in relation to expected value of surface water balance for this period. SPEI is calculated on different time scales (1, 2, 3, 6, 12 months). The value of the SPEI index around 0 represents the normal expected conditions for the surface water balance in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus in the surface water balance, while the value of -1 is about one standard deviation of the deficit. Drought is usually defined as period when SPEI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPEI,standardised precipitation-evapotranspiration index,surface water balance anomalies,ERA5,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1978, 1 p.m. Oct. 2, 2023, 2 p.m.

Standardised Precipitation-Evapotranspiration Index - ERA5_QM SPEI-1
The Standardized Precipitation-Evapotranspiration Index (SPEI) represents a standardized measure of what a certain value of surface water balance (precipitation minus potential evapotranspiration) over the selected time period means in relation to expected value of surface water balance for this period. SPEI is calculated on different time scales (1, 2, 3, 6, 12 months). The value of the SPEI index around 0 represents the normal expected conditions for the surface water balance in the selected period based on the long-term average (1981-2020). The value of 1 represents approximately one standard deviation of the surplus in the surface water balance, while the value of -1 is about one standard deviation of the deficit. Drought is usually defined as period when SPEI values fall below -1. Input precipitation data is downscaled from ERA5 reanalysis using quantile mapping. Contains modified Copernicus Climate Change Service information [1978-current year]; Contains modified Copernicus Atmosphere Monitoring Service information [1978-current year].

OpenEO

collection,SPEI,standardised precipitation-evapotranspiration index,surface water balance anomalies,ERA5,ADO project,ADO,cct,N/A,Land use,Land cover

Dec. 31, 1978, 1 p.m. May 27, 2024, 2 p.m.

Vegetation Health Index - 231 m 8 days
The Vegetation Health Index (VHI) is based on a combination of products extracted from vegetation signals, namely the Normalized Difference Vegetation Index (NDVI) and the land surface temperature, both derived from MODIS satellite data. The NDVI is based on 8 day maximum value composite MOD09Q1 (v006) reflectance and the land surface temperature (LST) on 8 day MOD11A2 (v006) LST products. The spatial resolution is 231 m, therefore the original 1000 m resolution of the MOD11A2 LST is downscaled to 231 m of the MOD09Q1 reflectance. Both products are masked to the highest quality standards using the provided quality layers. Missing pixel values in the time series are linearly interpolated. Non-vegetated areas are masked using the most recent Corine Land Cover product version for the according year. The final product is regridded to the LAEA Projection (EPSG:3035). The VHI relies on a strong inverse correlation between NDVI and land surface temperature, since increasing land temperatures are assumed to act negatively on vegetation vigour and consequently to cause stress. The data is provided as 8 day measures. The time series is starting from 2001. The VHI values range from 0-100, whereas high values correspond to healthy vegetation and low values indicate stressed vegetation.

OpenEO

collection,vegetation health index,vhi,modisi,ADO project,ADO,Terra,Land use,Land cover

Jan. 1, 2001, 1 a.m. Aug. 29, 2022, 2 a.m.

ADO - Discharge hydrological datasets
Daily time-series of discharge stations present within the Alpine space, obtained from different providers. Is made up of four columns: id station, date, discharge and the data quality information given by its different providers. The database contains observational daily discharge data deriving from the first measurement (differs for each region) to the present, with more than 1400 stations. These data were collected from multiple data providers within the ADO study region, covering the countries Austria, France, Germany, Italy, Slovenia and Switzerland. The spanned period is 1869-2021. The missing dates were added in order to have continuous time-series.

PostgreSQL

hydrology,water lever,discharge,database,ground station,cct,Environmental monitoring facilities,Hydrography

Jan. 1, 1869, 1 a.m. Dec. 31, 2021, 1 p.m.

ADO Factsheet: Standardized Precipitation-Evapotranspiration Index (SPEI)
The Standardised Precipitation-Evapotranspiration Index (SPEI) is a multiscalar drought index based on precipitation and potential evapotranspiration. It can be used for determining the onset, duration and magnitude of drought conditions with respect to normal conditions in a variety of natural and managed ecosystems such as agricultural ecosystems, forests, rivers, etc. The SPEI shows the anomalies (deviations from the long-term average) of the observed total surface water balance for any given location and accumulation period of interest. The name of the index is usually modified to include the accumulation period. SPEI-3, for example, refers to accumulation period of three months (Vicente-Serrano and Beguería, 2022).

Other

SPEI,ADO,ADO project,Standardized Precipitation-Evapotranspiration Index,ADO platform,cct,Europe,Slovenia,Austria,Italy,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

Jan. 1, 1979, 1 a.m. None

Report on existing monitoring platforms and potential data for the integration into ADO
The purpose of this report is to prepare a foundation for this working process. An overview of the state of drought observation and detection in the Alpine region has been prepared, which will also serve as basis for its upgrade or extension to the entire Alpine area. The state of the art analysis prepared by project partners (at least one per participating country) was conducted by uniform questionnaire that was circulated among ADO project partners covering four topics: drought monitoring approach, drought-information platforms, the regional & EU drought monitoring approach, and potential drought indices in ADO.

Other

SPEI,SPI,Slovenia,ADO,ADO project,ADO platform,cct,Slovenia,Europe,Hydrography,natural areas, landscape, ecosystems,natural dynamics,climate,disasters, accidents, risk,water

Jan. 1, 1979, 1 a.m. None

ADO SNOWGRID CL Validation Report
ADO Datasets from deliverable D.T2.1.1 are downscaled from ERA5 surface datasets (Hersbach et al. 2018) using quantile mapping. As ERA5 snow data cannot be downscaled in a similar manner (no snow data available from UERRA mescan surfex; Bazile et al. 2017) and its accuracy within the alpine domain was questioned, a modified version of the deterministic snow model SNOWGRID-CL (Olefs et al. 2020) was used to derive daily fields of snow depth and snow water equivalent within the scope of the ADO project (part of deliverable D.T1.2.1).

Other

SPEI,ADO,ADO project,Snowgrid,ADO platform,cct,Italy,Europe,Austria,Slovenia,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

Jan. 1, 1979, 1 a.m. None

ADO Soil Moisture Validation Report
When precipitation falls in the form of snow, water may be stored as snowpack. This decreases runoff and groundwater recharge during the winter months and contributes to the increased runoff during the spring and early summer. The Standardized SnowPack Index provides information on the relative volume of the snowpack in the catchment on a ten-daily and monthly basis compared to the period of reference (JRC EDO, 2022). The name of the index is modified to include the averaging period in days. SSPI-10, for example, refers to an average period of 10 days (JRC EDO, 2020).

Other

SMA,ADO,ADO project,Soil Moisture Anomalies,ADO platform,cct,Slovenia,Europe,Italy,Austria,Hydrography,natural dynamics,water,natural areas, landscape, ecosystems,climate,disasters, accidents, risk

Jan. 1, 1979, 1 a.m. None

A validation of ADO drought indices SPI and SPEI in Slovenia
Drought indices are essential for tracking and warning of the possible drought related effects, impacts and outcomes (WMO and GWP, 2016). The use of a specific drought index in this manner requires a prior assessment of the index performance in detecting and monitoring different types of drought. Agricultural drought affects plants and crops, sometimes resulting in extensive crop failure. As agricultural drought is particularly relevant for the Alpine region and the Slovenian case study area, we investigated the ability of SPI and SPEI to detect agricultural drought through validation against annual yield data for several crops and types of grassland, averaged to statistical regions (NUTS3 level). Prior to evaluating indices against yield data, we evaluated SPI and SPEI values calculated from ERA5 reanalyses against SPI and SPEI values calculated from ground observations at representative meteorological stations in Slovenia in order to learn whether the indices calculated in the Alpine domain are relevant on a national level.

Other

SPEI,SPI,Slovenia,ADO,ADO project,ADO platform,cct,Slovenia,Europe,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

Jan. 1, 1979, 1 a.m. None

ADO Factsheet: Vegetation Health Index (VHI) and Vegetation Condition Index (VCI)
This factsheet provides a technical description of the Vegetation Health Index (VHI, Kogan, 1995), which is implemented in the Alpine Drought Observatory (ADO). VHI can be used for detecting agricultural drought and assessing its severity.

Other

VHI,VCI,Vegetation Health Index,Vegetation Condition Index,ADO platform,ADO,ADO project,cct,Slovenia,Italy,Europe,Austria,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

Jan. 1, 1979, 1 a.m. None

ADO Factsheet: Standardized Precipitation Index (SPI)
The Standardised Precipitation Index (SPI) is the most commonly used index worldwide for detecting and characterising meteorological droughts. A meteorological drought is defined as a period with abnormal precipitation deficit, in relation to normal conditions for a region, represented as a long-term average. The SPI shows the normalisedanomalies (deviations from the long-term average) of the observed total precipitation for any given location and accumulation period of interest. The name of the index is usually modified to include the accumulation period. SPI-3, for example, refers to accumulation period of three months (JRC EDO, 2020).

Other

SPI,ADO,ADO project,Standardized Precipitation Index,ADO platform,cct,Slovenia,Italy,Europe,Austria,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

Jan. 1, 1979, 1 a.m. None

ADO Factsheet: Standardized Snowpack Index (SSPI)
When precipitation falls in the form of snow, water may be stored as snowpack. This decreases runoff and groundwater recharge during the winter months and contributes to the increased runoff during the spring and early summer. The Standardized SnowPack Index provides information on the relative volume of the snowpack in the catchment on a ten-daily and monthly basis compared to the period of reference (JRC EDO, 2022). The name of the index is modified to include the averaging period in days. SSPI-10, for example, refers to an average period of 10 days (JRC EDO, 2020).

Other

SSPI,ADO,ADO project,Standardized Snowpack Index,ADO platform,cct,Slovenia,Italy,Europe,Austria,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

Jan. 1, 1979, 1 a.m. None

ADO Factsheet: Soil Moisture Anomalies (SMA)
This factsheet provides a detailed technical description of the indicator Soil Moisture Anomaly (SMA), which is implemented in the Alpine Drought Observatory (ADO), and used for detecting and monitoring agricultural drought conditions.

Other

SMA,ADO,ADO project,Soil Moisture Anomalies,ADO platform,cct,Slovenia,Italy,Europe,Austria,Hydrography,natural dynamics,natural areas, landscape, ecosystems,climate,disasters, accidents, risk,water

Jan. 1, 1979, 1 a.m. None

Copernicus Surface Soil Moisture - 1km
The Soil Water Index quantifies the moisture condition at various depths in the soil. It is mainly driven by the precipitation via the process of infiltration. Soil moisture is a very heterogeneous variable and varies on small scales with soil properties and drainage patterns. Satellite measurements integrate over relative large-scale areas, with the presence of vegetation adding complexity to the interpretation.

OpenEO

collection,surface soil moisture,ASCAT,Sentinel-1,ADO project,ADO,Sentinel-1 A/B; MetOp A/B,Land use,Land cover

Jan. 1, 2015, 1 a.m. April 19, 2020, 2 a.m.

ADO Hydrological boundary
The overall objective of the Alpine Drought Observatory - ADO project is to create an online drought monitoring platform and develop policy implementation guidelines for proactive drought management in the Alpine regions. The ADO project consortium includes 11 institutions from 6 Alpine countries with a wide range of expertise, covering meteorological and hydrological monitoring, specific knowledge on modeling, drought risk and impact assessment, as well as water governance in the different sectors. Further information about the ADO project can be found here: https://www.alpine-space.eu/projects/ado/en/about.

Maps

Europe,ADO,ADO_boundaries,ADO_region

hydro_station_ado_32632
Hydrological stations with discharge values for ADO project

Maps

Global,features,hydro_station_ado_32632

hydro_station_wtl_ado_32632
Hydrological station with Water level values for ADO project

Maps

Europe,features,hydro_station_wtl_ado_32632

EU climate classification (Köppen-Geiger)
The most frequently used climate classification map is that of Wladimir Köppen, presented in its latest version 1961 by Rudolf Geiger. A huge number of climate studies and subsequent publications adopted this or a former release of the Köppen-Geiger map. While the climate classification concept has been widely applied to a broad range of topics in climate and climate change research as well as in physical geography, hydrology, agriculture, biology and educational aspects, a well-documented update of the world climate classification map is still missing. Based on recent data sets from the Climatic Research Unit (CRU) of the University of East Anglia and the Global Precipitation Climatology Centre (GPCC) at the German Weather Service, we present here a new digital Köppen-Geiger world map on climate classification for the second half of the 20th century.

Maps

Global,cct,climate,GeoTIFF,KG_climate_class_clip,WCS

Nuts2 alpinespace-Eusalp intersection
The Alpine Drought Observatory - ADO project is interested in discharge (only for stations with a catchment area > 1000 Km2 and currently active), groundwater (only for stations for major groundwater bodies), and major lake levels (only for major water bodies (surface > 5 km2)) data. The overall objective of the Alpine Drought Observatory - ADO project is to create an online drought monitoring platform and develop policy implementation guidelines for proactive drought management in the Alpine regions. The ADO project consortium includes 11 institutions from 6 Alpine countries with a wide range of expertise, covering meteorological and hydrological monitoring, specific knowledge on modeling, drought risk and impact assessment, as well as water governance in the different sectors. Further information about the ADO project can be found here: https://www.alpine-space.eu/projects/ado/en/about.

Maps

Europe,nuts2_alpinespaceEusalp_intersection

Alpine space-Eusalp intersection
The Alpine Drought Observatory - ADO project is interested in discharge (only for stations with a catchment area > 1000 Km2 and currently active), groundwater (only for stations for major groundwater bodies), and major lake levels (only for major water bodies (surface > 5 km2)) data. The overall objective of the Alpine Drought Observatory - ADO project is to create an online drought monitoring platform and develop policy implementation guidelines for proactive drought management in the Alpine regions. The ADO project consortium includes 11 institutions from 6 Alpine countries with a wide range of expertise, covering meteorological and hydrological monitoring, specific knowledge on modeling, drought risk and impact assessment, as well as water governance in the different sectors. Further information about the ADO project can be found here: https://www.alpine-space.eu/projects/ado/en/about.

Maps

Europe,ADO,alp,eusalp