Dataset.

Gridded time series of maximum and minimum temperatures for Peru (1964-2014)

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/139347
Digital.CSIC. Repositorio Institucional del CSIC
  • Vicente Serrano, Sergio M.
This contains two zip files with one file each one, corresponding to the maximum and minimum temperatures. The format of the files is netCDF3. Each file contains 282 longitudes, 407 latitudes and 607 times (from January 1964 to July 2014). Projection is Geographic (WGS84). 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 5 km. spatial resolution time series of maximum and minimum temperatures for the entire Peru. The gridded data has been created using the entire temperature series available for Peru, which were subjected to a quality control and homogenization procedure. Gridded data was created by means of a regression-based approach using terrain and topographic variables as inputs. One independent model was created for each month of the series. Residuals were interpolated by means of a IDW procedure. The data was validated using a jackknife approach., No
 
DOI: http://hdl.handle.net/10261/139347
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/139347

HANDLE: http://hdl.handle.net/10261/139347
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/139347
 
Ver en: http://hdl.handle.net/10261/139347
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/139347

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/139347
Dataset. 2016

GRIDDED TIME SERIES OF MAXIMUM AND MINIMUM TEMPERATURES FOR PERU (1964-2014)

Digital.CSIC. Repositorio Institucional del CSIC
  • Vicente Serrano, Sergio M.
This contains two zip files with one file each one, corresponding to the maximum and minimum temperatures. The format of the files is netCDF3. Each file contains 282 longitudes, 407 latitudes and 607 times (from January 1964 to July 2014). Projection is Geographic (WGS84). 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 5 km. spatial resolution time series of maximum and minimum temperatures for the entire Peru. The gridded data has been created using the entire temperature series available for Peru, which were subjected to a quality control and homogenization procedure. Gridded data was created by means of a regression-based approach using terrain and topographic variables as inputs. One independent model was created for each month of the series. Residuals were interpolated by means of a IDW procedure. The data was validated using a jackknife approach., No




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