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Arfan Arshad 

Graduate Research Assistant & Ph.D. Student
Ph.D. Water Resources Engineering.
Dept. of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK, USA 

Hello and welcome to my website!

I'm working as a Graduate Research Assistant & Ph.D. STUDENT in Water Resources, at Oklahoma State University, Stillwater, Oklahoma, USA.

Visiting Researcher at Research Application Laboratory (RAL), National Center for Atmospheric Research (NCAR), Boulder, CO 80301, USA (In-persons: May-Jul 2023 and Virtual: Aug 2023-Jan 2024)

I have completed BS.c. (2016) and  MS.c. degree (2018) in the discipline of Irrigation and Drainage Engineering from the University of Agriculture Faisalabad, Pakistan. Moreover, I have two years (Sep-2018 - Sep-2020) of research experience as a Ph.D. Candidate from the Key State Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth (RADI), University of Chinese Academy of Sciences (UCAS), Beijing, China.

I'm also an Individual Member of the International Society for Photogrammetry and Remote Sensing (ISPRS) since 2021.

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Student Member of the American Society of Agricultural and Biological Engineering (ASABE)

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 My main area of expertise is in Spatial Analysis, Hydro-climatology, Surface and Sub-surface Catchment Hydrology. I am mainly working by incorporating different data streams such as ground-based data, re-analysis,  and remote sensing datasets in hydrology, water resources management, and the climate system to promote sustainable water, climate& agriculture policies in Indus Basin. I am further working in the following areas of specialization:

  • 1. Watershed modeling and climate change: Visualizing the Impacts

  • 2. Flooding and Drought Risk Assessment

  • 3. Watershed Scale Surface and Sub-surface Water Storage Monitoring

  • 4. Remote Sensing & GIS Applications in Earth System Studies 

  • 5. Top-down Downscaling to Enhance the Spatial Resolution of Grided Datasets

  • 6. Digital Image Processing for Agricultural Cropping Systemes

  • 7. Improve understanding of agroecosystem-environment interaction

  • 8. Land-Atmosphere Interaction Studies

  • 9. Climate System Modeling

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