Metadata Catalogue
Metadata Catalogue (ICIMOD)
Continents, countries, sea regions of the world.
Trees(point) dataset of Bhaktapur Municipality for the Geo-visualization on emergency response in case of earthquake disaster.
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Monthly Minimum Temperature Trend (May) 1950-2000 of Hindu Kush Himalayan (HKH) Region
Digital grid dataset of minimum monthly temperature (May) for the period of 1950-2000 of Hindu Kush Himalayan (HKH) Region. The dataset is derived from WorldClim (http://www.worldclim.org/), and major climate databases compiled by the Global Historical Climatology Network (GHCN),the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet. Monthly Precipitation data set consists of 12 raster files, one for each month, showing minimum mean values derived from monthly temperature readings. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid.
The content of this website can be accessed, printed and downloaded in an unaltered form (altered including being stretched, compressed, coloured or altered in any way so as to distort content from its original proportions or format) with copyright acknowledged, on a temporary basis for personal study that is not for a direct or indirect commercial use and any non-commercial use. Any content printed or downloaded may not be sold, licensed, transferred, copied or reproduced in whole or in part in any manner or in or on any media to any person without the prior written consent of the ICIMOD
Data source is Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet.
Monthly Maximum Temperature Trend (March) 1950-2000 of Hindu Kush Himalayan (HKH) Region
Digital grid dataset of monthly maximum temperature (March) for the period of 1950-2000 of Hindu Kush Himalayan (HKH) Region. The dataset is derived from WorldClim (http://www.worldclim.org/), and major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet. Monthly maximum temperature data set consists of 12 raster files, one for each month, showing mean values derived from monthly temperature readings. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid.
Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet.
Monthly Minimum Temperature Trend (July) 1950-2000 of Hindu Kush Himalayan (HKH) Region
Digital grid dataset of minimum monthly temperature (July) for the period of 1950-2000 of Hindu Kush Himalayan (HKH) Region. The dataset is derived from WorldClim (http://www.worldclim.org/), and major climate databases compiled by the Global Historical Climatology Network (GHCN),the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet. Monthly Precipitation data set consists of 12 raster files, one for each month, showing minimum mean values derived from monthly temperature readings. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid.
Data source is Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet
Monthly Mean Temperature Trend (August) 1950-2000 of Hindu Kush Himalayan (HKH) Region
Digital grid dataset of monthly mean temperature (August) for the period of 1950-2000 of Hindu Kush Himalayan (HKH) Region. The dataset is derived from WorldClim (http://www.worldclim.org/), and major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet. Monthly mean temperature data set consists of 12 raster files, one for each month, showing mean values derived from monthly temperature readings. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid.
Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet
Monthly Mean Temperature Trend (February) 1950-2000 of Hindu Kush Himalayan (HKH) Region
Digital grid dataset of monthly mean temperature (February) for the period of 1950-2000 of Hindu Kush Himalayan (HKH) Region. The dataset is derived from WorldClim (http://www.worldclim.org/), and major climate databases compiled by the Global Historical Climatology Network (GHCN), the FAO, the WMO, the International Center for Tropical Agriculture (CIAT), R-HYdronet. Monthly mean temperature data set consists of 12 raster files, one for each month, showing mean values derived from monthly temperature readings. The data layers were generated through interpolation of average monthly climate data from weather stations on a 30 arc-second resolution grid.
Daily Mean Sunshine Duration July 2001 Nepal
Daily mean sunshine duration of July 2001 of Nepal. This dataset is created using actual daily sunshine averages using Win-surfer and GIS-arc/info software packages. The mean values were derived from daily sunshine readings.
Mean Precipitation of January for Hindu Kush Himalayan (HKH) Region
Digital grid data of Mean Precipitation of January for Hindu Kush Himalayan (HKH) Region. This dataset is acquired from USGS.
The accuracy of the Digital Data prepared depends on the base source Data and Maps. No assessment or ground truthing has been carried out on this data. ICIMOD accepts no responsibility for any inaccuracy, errors, or omissions in this data.
Whole Indus average data for year 1951 to 1960 for the month of February(Aphrodite)
Average data for Whole Indus from year 1951 to 1960 for the month of February in ASCII format. It is an Aphrodite data with 0.25 resolution in x and y direction. The APHRODITE project develops state-of-the-art daily precipitation datasets with high-resolution grids. The datasets are created primarily with data obtained from a rain-gauge-observation network.
Courtyard(polygon) dataset of Kritipur Municipality for the Geo-visualization on emergency response in case of earthquake disaster.