4 documents found in 50ms
Page 1 of 1
<<
<
>>
Christian Willmes
• Daniel Becker
• Sebastian Brocks
• Christoph Hütt
• Georg Bareth
Abstract: Python based pyGRASS scripts implementing Köppen-Geiger climate classifications from CMIP5 and PMIP3 climate model simulation datasets. And a script for computation of area statistics of the classification data, as well as documentation for using the scripts and accessing the source climate simulation data.
Christian Willmes
• Daniel Becker
• Sebastian Brocks
• Christoph Hütt
• Georg Bareth
Abstract: This geospatial dataset, in raster and vector format, is a Köppen-Geiger climate classification of the MPI-ESM-P Last Glacial Maximum (21k yBP) r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.
Christian Willmes
• Daniel Becker
• Christoph Hütt
• Sebastian Brocks
• Georg Bareth
Abstract: This geospatial dataset, in raster and vector format, is a Kppen-Geiger climate classification of the MPI-ESM-P Mid-Holocene (6k yBP) r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.
Christian Willmes
• Daniel Becker
• Sebastian Brocks
• Christoph Hütt
• Georg Bareth
Abstract: This geospatial dataset, in raster and vector format, is a Kppen-Geiger climate classification of the MPI-ESM-P PreIndustrial r1i1p1 model simulations according to the PMIP III 21k experiment. The classifications were computed using the Python pyGRASS library and GRASS GIS.
Page 1 of 1
<<
<
>>
