Sonu Khanal (Ph.D.) has 8.5 years of experience in providing technical leadership for projects related to extreme hydro-climatic events, river floods, droughts, compound coastal floods, multivariate statistical models, ensemble modeling, climate risk assessment and hydropower development. His experiences were obtained at the Institute of Engineering (IOE, Nepal), International Centre for Integrated Mountain and Development (ICIMOD, Nepal), Practical Action Consulting, (PAC, Nepal), Royal Netherlands Meteorological Institute (KNMI, the Netherlands), and Vrije Universiteit (VU, Amsterdam, the Netherlands). At FutureWater, he works with quantitative methods, simulation models (SPHY, VIC, WEAP, SWAT, HEC-RAS, HEC-HMS), geographic information systems (ArcGIS, QGIS) and satellite observations. He is skilled in analyzing multidimensional hydro-meteorological information with R, Python and GIS-based applications. He is experienced in QGIS-plugin development and R-Shiny-based applications for climate and hydrological analysis and database management.
Over the last year, he focused on the flood and drought risk studies in European catchments, operationalization of the probabilistic flood and drought forecasting for different pilot basins with governmental institutions around the world. He has international working experience in countries in Europe, Asia and Africa. Sonu has worked with several national and international clients and collaborators such as World Bank, Asian Development Bank, National and Local Governments, River Basin Organizations, Science Foundations, Universities, and Research Organizations.
Proyectos relacionados
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Climate Risk and Adaptation Assessment for Nepal’s Power Sector
Nepal’s power sector predominantly relies on hydropower generation. Hydropower is vulnerable to climate change and natural disasters caused by climate change. An understanding of the future impact of climate change on hydropower assets and their performance is important for the successful implementation of hydropower projects. Climate risk and adaptation (CRA)…
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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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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…
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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…
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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…
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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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Pan-TPE: Changes in the Pan-Third Pole Water Tower
The proposed research targets changes in climate, water supply and demand, and suitable adaptation measures for green development of the Silk Road Economic Belt (SREB) in the river basins crossed by the SREB transect. Given the strong role of large scale hydrology in the proposed research activities, the spatial domain…
Publicaciones relacionadas
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2021 - Water Resources Research
Khanal, 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
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2019 - Frontiers in Earth Science
Khanal, 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.2019.00224XStorm 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
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2019 - Atmosphere
Khanal, 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/atmos10040171XThe 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
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2017 - FutureWater Report 175
Khanal, 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
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2017 - PLOS ONE
Wijngaard, 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.0190224XFuture 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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2017 - FutureWater Report 164
Terink, W., W.W. Immerzeel, A.F. Lutz, P. Droogers, S. Khanal, S. Nepal, A.B. Shrestha. 2017. Hydrological and Climate Change Assessment for Hydropower development in the Tamakoshi River Basin, Nepal. FutureWater Report 164.XHydrological and Climate Change Assessment for Hydropower development in the Tamakoshi River Basin, Nepal
Terink, W., W.W. Immerzeel, A.F. Lutz, P. Droogers, S. Khanal, S. Nepal, A.B. Shrestha
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2016 - FutureWater Report 160
Terink, W., S. Khanal. 2016. SPHY: Spatial Processes in Hydrology. Advanced training: input data, sensitivity analysis, model calibration, and scenario analyses. FutureWater Report 160.XSPHY: Spatial Processes in Hydrology. Advanced training: input data, sensitivity analysis, model calibration, and scenario analyses
Terink, W., S. Khanal
