European Drought Observatory S Combined Drought Indicator 2nd Ten Day
European Drought Observatory S Combined Drought Indicator 2nd Ten Day In mid march 2026, according to the combined drought indicator (cdi): alert conditions persisted in northern africa and western syria, while small areas emerged in the eastern mediterranean. Maps and data can be accessed by using the european drought observatory (edo) and the global drought observatory (gdo). detailed information on data, indices, research activities can be found at eu science hub. long term drought conditions over europe remained stable in mid march.
European Drought Observatory Altiorem Its combined drought indicator (cdi) integrates precipitation, soil moisture and vegetation anomalies to classify drought severity and recovery stages every ten days. The edo portal contains drought information, graphs and time series at european level. these data can be freely downloaded for offline analysis. edo also provides a tool enabling the comparison between several indicators or the comparison between the values of a same indicator at different times. An example is the combined drought indicator (cdi), for agricultural and ecosystem drought, as shown in the copernicus european and global drought observatories. The combined drought indicator (cdi) has been upgraded to version 4.1.0 on 26 february 2026. all the cdi time series is now provided with 4.1.0 data, starting from the first ten day period of january 2012.
European Drought Observatory Yoors An example is the combined drought indicator (cdi), for agricultural and ecosystem drought, as shown in the copernicus european and global drought observatories. The combined drought indicator (cdi) has been upgraded to version 4.1.0 on 26 february 2026. all the cdi time series is now provided with 4.1.0 data, starting from the first ten day period of january 2012. The combined drought indicator (cdi) that is implemented in the european drought observatory (edo) is used to identify areas affected by agricultural drought, and areas with the potential to be affected. This paper introduces the combined drought indicator dataset, a collection of raster maps generated by the copernicus european drought observatory for monitoring agricultural drought in. The platform delivers up to date maps, data, and analysis on drought conditions across european territories, helping governments, emergency managers, and researchers understand and respond to drought events through scientifically based monitoring tools and indicators. The edo pages contain drought relevant information such as maps of indicators derived from different data sources (e.g., precipitation measurements, satellite measurements, modelled soil moisture content).
Pdf A Revision Of The Combined Drought Indicator Cdi As Part Of The The combined drought indicator (cdi) that is implemented in the european drought observatory (edo) is used to identify areas affected by agricultural drought, and areas with the potential to be affected. This paper introduces the combined drought indicator dataset, a collection of raster maps generated by the copernicus european drought observatory for monitoring agricultural drought in. The platform delivers up to date maps, data, and analysis on drought conditions across european territories, helping governments, emergency managers, and researchers understand and respond to drought events through scientifically based monitoring tools and indicators. The edo pages contain drought relevant information such as maps of indicators derived from different data sources (e.g., precipitation measurements, satellite measurements, modelled soil moisture content).
8 Drought Indices For Europe Source European Drought Observatory The platform delivers up to date maps, data, and analysis on drought conditions across european territories, helping governments, emergency managers, and researchers understand and respond to drought events through scientifically based monitoring tools and indicators. The edo pages contain drought relevant information such as maps of indicators derived from different data sources (e.g., precipitation measurements, satellite measurements, modelled soil moisture content).
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