Digital polygon data of Status of Glaciers in Kabul Basin during 2005 ± 3 (2002-2008) years. This dataset is created using Landsat ETM+ imageries of respective years. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth. The attribute data were assigned to each glacier using 90m resolution SRTM DEM.

Digital polygon data of Status of Glaciers in Upper Indus Basin during 2005 ± 3 (2002-2008) years. This dataset is created using Landsat ETM+ imageries of respective years. The glacier outlines was derived semi-automatically using object-based image classification (OBIC ) method separately for clean ice and debris cover and further editing and validation was done carefully by draping over the high resolution images from Google Earth. The attribute data were assigned to each glacier using 90m resolution SRTM DEM.

The glacial lakes of Afghanistan were mapped using Landsat image that were selected based in a one-year buffer surrounding a representative year. For instance, the Landsat images from 2009 to 2011 were used to represent 2010 depending on the quality of images (least snow cover and cloud cover). The glacial lakes were extracted semi-automatically through an object-based image classification (OBIC) method and were then subjected to manual editing for quality control. The attributes of the data were extracted from the SRTM DEM. This dataset was produced in collaboration between the National Water Affairs Regulation Authority (NWARA) of the Government of Afghanistan and ICIMOD as part of the SERVIR-HKH Initiative.

The glacial lakes of Afghanistan were mapped using Landsat image that were selected based in a one-year buffer surrounding a representative year. For instance, the Landsat images from 1999 to 2001 were used to represent 2000 depending on the quality of images (least snow cover and cloud cover). The glacial lakes were extracted semi-automatically through an object-based image classification (OBIC) method and were then subjected to manual editing for quality control. The attributes of the data were extracted from the SRTM DEM. This dataset was produced in collaboration between the National Water Affairs Regulation Authority (NWARA) of the Government of Afghanistan and ICIMOD as part of the SERVIR-HKH Initiative.

The glacial lakes of Afghanistan were mapped using Landsat image that were selected based in a one-year buffer surrounding a representative year. For instance, the Landsat images from 1989 to 1991 were used to represent 1990 depending on the quality of images (least snow cover and cloud cover). The glacial lakes were extracted semi-automatically through an object-based image classification (OBIC) method and were then subjected to manual editing for quality control. The attributes of the data were extracted from the SRTM DEM. This dataset was produced in collaboration between the National Water Affairs Regulation Authority (NWARA) of the Government of Afghanistan and ICIMOD as part of the SERVIR-HKH Initiative.

The glacial lakes of Afghanistan were mapped using Landsat image that were selected based in a one-year buffer surrounding a representative year. For instance, the Landsat images from 2014 to 2016 were used to represent 2015 depending on the quality of images (least snow cover and cloud cover). The glacial lakes were extracted semi-automatically through an object-based image classification (OBIC) method and were then subjected to manual editing for quality control. The attributes of the data were extracted from the SRTM DEM. This dataset was produced in collaboration between the National Water Affairs Regulation Authority (NWARA) of the Government of Afghanistan and ICIMOD as part of the SERVIR-HKH Initiative.

Average delta change for monthly mean air temperature (Tavg), monthly maximum air temperature (Tmax), monthly temperature (Tmin) and monthly precipitation (P). This dataset has a monthly temporal resolution spanning 42 years from 1 January 2008 to 31 December 2050 and a spatial resolution of 25x25 km. RCP 4.5(model available BNU-ESM_r1i1p1, inmcm4_r1i1p1, CMCC-CMS_r1i1p1, CSIRO-Mk3-6-0_r4i1p1) ; RCP 8.5(model available inmcm4_r1i1p1, CMCC-CMS_r1i1p1, bcc-csm1-1_r1i1p1, CanESM2_r3i1p1).

Precipitaton(%) and temperature(delta T(K)) for RCP4.5 and RCP 8.5 for 4 GCM, monthly change grids at a resolution of 25km covering the whole model domain, grids showing the average monthly value during 2021-2050 relative to the average monthly value during 1961-1990.

Daily NEX-GDDP data (Tmin, Tmax and Precipitation) for different scenario (reference period, future projection), RCP 4.5 and RCP 8.5. These following models are included in data; ACCESS1-0,bcc-csm1-1,BNU-ESM,CanESM2,CCSM4,CESM1-BGC,CNRM-CM5,CSIRO-Mk3-6-0,GFDL-CM3,GFDL-ESM2G,GFDL-ESM2M,inmcm4,IPSL-CM5A-LR,IPSL-CM5A-MR,MIROC5,MIROC-ESM,MIROC-ESM-CHEM,MPI-ESM-LR,MPI-ESM-MR,MRI-CGCM3,NorESM1-M are used for simulating the global climate change between 1950- 2100.

Glacier data of Afghanistan were prepared on the basis of Landsat imageries from 2015. The glacier outlines were derived semi-automatically using object-based image classification (OBIC) separately for clean-ice and debris-covered glaciers and further manual editing for quality assurance. The attributes of glacier data were derived from SRTM DEM. This dataset was jointly prepared by the Ministry of Energy and Water (MEW), Government of Afghanistan, and ICIMOD under the SERVIR-HKH Initiative.