Training on Using Open Source Platforms for Hydrological Modelling of Data Sparse Regions in Nepal

This training was attended by sixteen researchers (seven female and nine male) from IOF, Department of Hydrology and Meteorology (DHM), Central Department of Hydrology and Meteorology (CDHM), Department of Forests and Soil Conservation and the Institute of Engineering (IOE). The overall objective of this training was to ensure the use of open source data in the Google Earth Engine (GEE) platform to assess the hydrological regime of data sparse regions in Nepal. The participants used freely available geospatial images to make a landuse map of their region of interest using the GEE platform. Further, they used these landuse maps to understand the changes to the hydrological regime of their region using the SPHY hydrological model, developed by FutureWater. The SPHY model can be applied by a wider range of experts with basic hydrological and computer skills, through user interfaces, including a data preprocessing tool. Moreover, the participants were able to extract and process the projected future precipitation and temperature data using KNMI Climate Explorer. Participants used the delta change method to create the future climate change scenarios. They were able to use the future projected climate data with the SPHY model to assess the climate change impacts on the hydrological regime for their region of interest.