Published July 4, 2023 | Version v1

Spring Disappearance in the Indian Himalayas: A Geo-physical Appraisal (Data)

  • 1. Department of Geography, Delhi School of Economics, University of Delhi, New Delhi, 110007, India
  • 2. Department of Geography, Shaheed Bhagat Singh College, University of Delhi, New Delhi,110017, India
  • 3. Department of Geography, Shaheed Bhagat Singh Evening College, University of Delhi, New Delhi,110017, India
  • 4. Delhi School of Climate Change & Sustainability, Institution of Eminence, University of Delhi, Delhi, New Delhi 110007, India
  • 5. Disaster Prevent Research Institute, Innovative Disaster Prevent Technology and Policy Research Laboratory, Kyoto University, Gokasho, Uji City, Kyoto, Japan
  • 6. Department of Chemistry (Environmental Science), Bhaskarcharya College of Applied Science, University of Delhi, New Delhi 110075, India

Description

MIKE 11 NAM hydro model has been used to execute the rainfall-runoff modelling for spring-water discharge analysis. model allows the running of the process of rainfall-runoff on a specified boundary and time-space. Many datasets utilised for the MIKE 11 NAM hydrological model are rainfall, temperature, soil moisture and evaporation. The website https://disc.gsfc.nasa.gov provides access to rainfall data that is derived from a 0.25º x 0.25º grid. Temperature information is available at https://imdpune.gov.in and is derived using a 1º x 1º grid. You can access soil moisture data at https://disc.gsfc.nasa.gov, which is based on a 0.1º x 0.1º grid. Last but not least, evaporation data can also be found at https://disc.gsfc.nasa.gov and is derived from a 0.1º x 0.1º grid.

 

Here, file "Dataset used for MIKE 11 NAM hydro model (Data).docx" provide the data used for running MIKE 11 model and "Prolong dry season (Data).docx" shows the data used for the identification for prolonged dry season.

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Spring Disappearance (Data).zip

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