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Relative humidity (in percentage) and actual vapour pressure (in millibar) at 08:45 and 17:45 NST are computed from the readings taken from the non-aspirated simple Psychrometer (dry bulb and wet bulb thermometers at about 1.25 meter above ground level), sheltered in the Stevension screen. Missing number of days of for temperature, humidity and vapour pressure records, if exist, in any month is appended at the lower right corner of the corresponding data cell in the form of character code that is defined below the summary table.
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Relative humidity (in percentage) and actual vapour pressure (in millibar) at 08:45 and 17:45 NST are computed from the readings taken from the non-aspirated simple Psychrometer (dry bulb and wet bulb thermometers at about 1.25 meter above ground level), sheltered in the Stevension screen. Missing number of days of for temperature, humidity and vapour pressure records, if exist, in any month is appended at the lower right corner of the corresponding data cell in the form of character code that is defined below the summary table.
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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).
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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.
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RCM Climate data for different scenario (reference period, future projection), RCP 4.5 and RCP 8.5. These following models are included in data;GISS-E2-R-r4i1p1, IPSL-CM5A-LR-r4i1p1,IPSL-CM5A-LR-r3i1p1, CanESM2-r4i1p1, GFDL-ESM2G-r1i1p1, IPSL-CM5A-LR-r4i1p1, CSIRO-Mk3-6-0-r3i1p1, CanESM2-r4i1p1 are used for simulating the global climate change between 1998- 2050.
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NorESM climate scenario data of 4.5 and 8.5 W/m2 of daily rainfall Tmin and Tmax.
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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.
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Digital polygon data of Status of Glaciers in Hindu Kush Himalayan (HKH) Region 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. Source: ICIMOD and CAREERI (data for the Chinese part of the HKH region is a product of a national project of the Ministry of Science and Technology of China (Grant no. 2006FY110200))
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The comprehensive baseline information on the glaciers of the HKH region was generated semi-automatically using more than 200 Landsat 7 ETM+ images of 2005 ± 3 years with minimum cloud and snow coverage. The glacier outlines were derived by using object-based image classification method separately for clean-ice and debris-covered glaciers with some manual intervention. The attribute data were assigned to each glacier using 90m resolution SRTM DEM. This data does not cover the China part.
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The comprehensive baseline information on the glacial lakes of the Hindu Kush Himalaya was generated semi-automatically using more than 200 Landsat 5 TM and Landsat 7 ETM+ images of 2005 ± 2 years with minimum cloud and snow coverage. The glacial lakes were mapped by using band ratio threshold condition method and some manual intervention. The attribute data were assigned using 90m resolution SRTM DEM.