Dataset.
A global dataset of the Standardized Evapotranspiration Deficit Index (SEDI) for drought analysis and monitoring
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/160091
Digital.CSIC. Repositorio Institucional del CSIC
- Vicente Serrano, Sergio M.
The dataset contains one zip file corresponding to the SEDI. The format of the file is netCDF3. The file contains 1440 longitudes, 720 latitudes and 444 times (from January 1980 to December 2016). Projection is Geographic (WGS84). The SEDI is in standardized units. The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL., This dataset includes 0.25º spatial resolution time series of the Standardized Evapotranspiration Deficit Index. The gridded data has been created using the version 3.1 of the Global Land Evaporation Amsterdam Model (GLEAM) dataset (https://www.gleam.eu/#home). Data covers the period between 1980 and 2016. SEDI is obtained using a log-logistic distribution to fit the Evapotranspiration Deficit., Peer reviewed
DOI: http://hdl.handle.net/10261/160091
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/160091
HANDLE: http://hdl.handle.net/10261/160091
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/160091
Ver en: http://hdl.handle.net/10261/160091
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/160091
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1 Versiones
1 Versiones
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/160091
Dataset. 2018
A GLOBAL DATASET OF THE STANDARDIZED EVAPOTRANSPIRATION DEFICIT INDEX (SEDI) FOR DROUGHT ANALYSIS AND MONITORING
Digital.CSIC. Repositorio Institucional del CSIC
- Vicente Serrano, Sergio M.
The dataset contains one zip file corresponding to the SEDI. The format of the file is netCDF3. The file contains 1440 longitudes, 720 latitudes and 444 times (from January 1980 to December 2016). Projection is Geographic (WGS84). The SEDI is in standardized units. The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL., This dataset includes 0.25º spatial resolution time series of the Standardized Evapotranspiration Deficit Index. The gridded data has been created using the version 3.1 of the Global Land Evaporation Amsterdam Model (GLEAM) dataset (https://www.gleam.eu/#home). Data covers the period between 1980 and 2016. SEDI is obtained using a log-logistic distribution to fit the Evapotranspiration Deficit., Peer reviewed
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