Sonu Khanal (MSc.) has almost 7 years of experience in hydrology, catchment hydrology and rainfall-runoff modeling, with a strong focus on climate change impact studies, hydrological modeling and Flood Forecasting for operational services. His experiences were obtained at Institute of Engineering (IOE), International Centre for Integrated Mountain and Development (ICIMOD) and Practical Action (PAC), Nepal. His past work at ICIMOD consists of hydrological modeling at various spatial and temporal scales with a strong focus on the use of GIS, remote sensing and big databases.

Over the last year, he focused on the flood risk studies in European catchments, operationalization of the probabilistic flood forecasting at different pilot basins with governmental institution and PAC in Nepal. He has international working experience in countries in Europe, Asia and Africa. He is conducting a combined external PhD research at FutureWater, KNMI and VU Amsterdam titled “Improving future weather techniques for flood forecasting”. This research project is funded by the Marie-Skłodowska-Curie European Training Network.

Proyectos relacionados

• 
  India

  Development of a Glacio-Hydrological Model and IWRM Plan for the Uttarakhand subbasin in India

  The Swiss Agency for Development and Cooperation’s (SDCs) Global Programme Climate Change and Environment (GP CCE) India is supporting the operationalization of climate change adaptation actions in the mountain states of Uttarakhand, Sikkim and Himachal Pradesh through the phase two of the “Strengthening State Strategies for Climate Action” (3SCA) project…

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  Myanmar

  Tailor-made Training on River Morphology and Flood Risk using State-of-the-Art Open Satellite Data and Processing Tools

  The main objective is to enhance the capacity of DWIR staff in using innovative data and tools to analyze water resources and support water management. The training is organized with a very practical approach and strongly built upon the ‘learning-by-doing’ principles. Participants use freely accessible satellite-derived data to gain insight…

• 
  Colombia España Mozambique

  InfoSequia-4CAST: Forecasting and Quantifying Risks of Crop and Water Supply Failures Using Machine Learning and Remote Sensing

  InfoSequia-4CAST combines historical and up-to-date observations of satellite-based meteorological and agricultural drought indices with climate variability indices, to generate seasonal outlooks of water supply and crop yield failure alerts. These impact-based indicators are computed using a simple, robust and easily understandable statistical forecasting-modelling framework. By making use of multi-sensor, state-of-the…

• 
  Myanmar

  Tailor-Made Training for water professionals in Myanmar

  This tailor-made training enhanced capacity of Yangon Technological University (YTU) educational staff in using Google Earth Engine to analyse water resources and support water management. Technical staff of Department of Meteorology and Hydrology (DMH) and the Department of Water resources and Improvement of River systems (DWIR) also participated to gain…

• 
  Nepal

  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…

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Publicaciones relacionadas

• 2021 - Water Resources ResearchKhanal, S., Lutz, A. F., Kraaijenbrink, P. D. A., van den Hurk, B., Yao, T., & Immerzeel, W. W. (2021). Variable 21st century climate change response for rivers in High Mountain Asia at seasonal to decadal time scales. Water Resources Research, 57, e2020WR029266. https://doi.org/10.1029/2020WR029266X

  Variable 21st Century Climate Change Response for Rivers in High Mountain Asia at Seasonal to Decadal Time Scales

  Khanal, S., A.F. Lutz,, P. D. A. Kraaijenbrink, B. van den Hurk, T. Yao, W.W. Immerzeel

• 2019 - Frontiers in Earth ScienceKhanal, S., N. Ridder, H. de Vries, W. Terink, B. van den Hurk. 2019. Storm Surge and Extreme River Discharge: A Compound Event Analysis Using Ensemble Impact Modeling. Front. Earth Sci. 7:224. doi: 10.3389/feart.2019.00224X

  Storm Surge and Extreme River Discharge: A Compound Event Analysis Using Ensemble Impact Modeling

  Khanal, S., N. Ridder, H. de Vries, W. Terink, B. van den Hurk

• 2019 - AtmosphereKhanal, S., A.F. Lutz, W.W. Immerzeel, H. de Vries, N. Wanders, B. van den Hurk. 2019. The Impact of Meteorological and Hydrological Memory on Compound Peak Flows in the Rhine River Basin. Atmosphere 10 (4) 171. doi:10.3390/atmos10040171X

  The Impact of Meteorological and Hydrological Memory on Compound Peak Flows in the Rhine River Basin

  Khanal, S., A.F. Lutz, W.W. Immerzeel, H. de Vries, N. Wanders, B. van den Hurk

• 2017 - FutureWater Report 175Khanal, S., J.E. Hunink. 2017. Hydrological pre-feasibility assessment for hydropower facility in Northern Georgia. FutureWater Report 175.X

  Hydrological pre-feasibility assessment for hydropower facility in Northern Georgia

  Khanal, S., J.E. Hunink

• 2017 - PLOS ONEWijngaard, R.R., A.F. Lutz, S. Nepal, S. Khanal, S. Pradhananga, A.B. Shrestha, W.W. Immerzeel. 2017. Future changes in hydro-climatic extremes in the Upper Indus, Ganges, and Brahmaputra River basins. PLOS ONE 12(12): e0190224. https://doi.org/10.1371/journal.pone.0190224X

  Future changes in hydro-climatic extremes in the Upper Indus, Ganges, and Brahmaputra River basins

  Wijngaard, R.R., A.F. Lutz, S. Nepal, S. Khanal, S. Pradhananga, A.B. Shrestha, W.W. Immerzeel

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