Macro-scale meteorological inputs for the map come from the NCEP version of reanalysis: Climate Forecast System Reanalysis (CFSR). The CFSR was designed and executed as a global, high resolution, coupled atmosphere-ocean-land surface-sea ice system to provide the best estimate of the state of these coupled domains. The CFSR global atmosphere resolution is ~38km (T382) with 64 levels extending from the surface to 0.26hPa. The global ocean is 0.25° at the equator, extending to a global 0.5° beyond the tropics, with 40 levels to a depth of 4737m. CFSR atmospheric, oceanic and land surface output products are available at an hourly time resolution and 0.5° horizontal resolution. This reanalysis will serve many purposes, including, providing the basis for most of NCEP Climate Prediction Center's operational climate products by defining the mean states of the atmosphere, ocean, land surface and sea ice; provide initial conditions for historical forecasts required to calibrate operational NCEP climate forecasts and provide estimates and diagnoses of the earth's climate state, over the satellite data period, for community climate research.
Topography data comes from the Shuttle Radar Topography Mission (SRTM), which obtained elevation data on a near-global scale to generate the most complete high resolution digital topographic database of Earth. The Shuttle Radar Topography Mission (SRTM) was flown aboard the space shuttle Endeavour February 11-22, 2000. SRTM successfully collected radar data over 80% of the Earth's land surface between 60° north and 56° south latitude with data points posted every 1 arc-second (approximately 30 meters). SRTM Non-Void Filled elevation data (used for WRF modelling) were processed from raw C-band radar signals spaced at intervals of 1 arc-second (approximately 30 meters). SRTM elevation data offer worldwide at a resolution of 1 arc second (30 meters) and provide open distribution of this high-resolution global data set.
Land cover data for the WRF model comes from ESA GlobCover Land Cover I product derived by an automatic and regionally tuned classification of a time series of MERIS FR mosaics. Its 22 land cover global classes are defined with the UN Land Cover Classification System (LCCS). Each mosaic product is available in the Hierarchical Data Format-EOS2 (HDF) and is organized on a 5° by 5° tiling without any overlap. The GlobCover products are based on ENVISAT's Medium Resolution Imaging Spectrometer (MERIS) Level I B data acquired in Full Resolution mode with a spatial resolution of 300 meters. For the generation of the Level I B data, the raw data acquisitions have been resampled on a path-oriented grid, with pixel values having been calibrated to match the Top of Atmosphere (TOA), radiance.
The National Natural Resources Management System (NNRMS), a national level inter-agency system, supports the national requirements of natural resources management and developmental needs by generating a proper and systematic inventory of natural resources. In doing so, NNRMS adopts various advanced technologies of satellite and aerial remote sensing; Geographical Information Systems (GIS); precise Positioning Systems; database and networking infrastructure and advanced ground-based survey techniques. NNRMS standards have been adopted to enable technologies – imaging, GIS, GPS and applications – thematic mapping, services, etc. to work together. Over the past twenty years, the National Natural Resources Management System (NNRMS) has steered the generation of spatial information using remote sensing data from various IRS missions. Through a wide variety of user driven projects, a rich base of map information for the country has been generated. An important element of the NNRMS is the task of encapsulating the entire spatial data into a Natural Resources Repository (NRR) and making it accessible to citizens, society, private enterprise and government.
The spatial layers of the NRR are stored in a geo database. This database is referred to as Natural Resources Database (NRDB). The NRDB contents adhere to a naming convention and category coding as specified in the NNRMS standards document. The State boundaries superimposed in the map have been extracted from NRDB.
Additionally, with respect to the boundaries of Telangana & Andhra Pradesh and Ladakh& Jammu and Kashmir, the details obtained from Survey of India (SoI) website and the notification of Ministry of Home Affairs (MHA), Govt. of India were referred respectively for demarcation.