Annual high-resolution irrigated area maps from 2000 to 2015 that can be used for water resources planning and management in India. Irrigated area maps developed for all the agro-ecological zones in India using 250 m normalized difference vegetation index (NDVI) data from Moderate Resolution Imaging Spectroradiometer (MODIS) and 56 m land use/land cover data, high-resolution.
Anukesh Krishnankutty Ambika, Brian Wardlow, Vimal Mishra
Drought in South Asia affect food and water security and pose challenges for millions of people. For policy-making, planning, and management of water resources, high-resolution datasets of precipitation and air temperature are required in near-real time. We developed a high-resolution(0.05 deg) bias-corrected precipitation and temperature data that can be used to monitor near real-time drought conditions over South Asia. Moreover, the dataset can be used to monitor climatic extremes (heat and cold waves, dry and wet anomalies) in South Asia.
Saran Aadhar, Vimal Mishra
Climate change is likely to pose enormous challenges for agriculture, water resources, infrastructure, and livelihood of millions of people living in South Asia. We developed daily bias-corrected data of precipitation, maximum and minimum temperatures at 0.25° spatial resolution for South Asia (India, Pakistan, Bangladesh, Nepal, Bhutan, and Sri Lanka) and 18 river basins located in the Indian sub-continent. The bias-corrected dataset is developed using Empirical Quantile Mapping (EQM) for the historic (1951–2014) and projected (2015–2100) climate for the four scenarios (SSP126, SSP245, SSP370, SSP585) using output from 13 General Circulation Models (GCMs) from Coupled Model Intercomparison Project-6 (CMIP6).
Vimal Mishra, Udit Bhatia, and Amar Deep Tiwari
The work described in these pages is part of an exploratory research effort at Indian Institute of Technology Gandhinagar, and does not represent the official product of any Institute, or central, state, or local agency.
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