Sadiq I. Khan
NOAA National Water Center
Ph.D. Environmental Geography, University of Oklahoma, USA 2011
M.A. Sustainable International Development, Brandeis University, USA 2007
M-Phill. Environmental Biology, Quaid-i-Azam University, Islamabad Pakistan 2004
B.Sc (Hons) Agriculture Science. NWFP Agricultural University, Pakistan 2001
Satellite remote sensing based hydrologic applications
Distributed hydrologic modeling and land surface modeling
Satellite based flood detection and monitoring
Environmental risk assessment and sustainable development
RESEARCH & TEACHING EXPERIENCE
Postdoctoral Scholar, CEES. University of Oklahoma, Norman, OK, USA 2011-
Research Assistant, CEES. University of Oklahoma, Norman, OK, USA. 2008-2011
Teaching Assistant, Heller School. Brandeis University, Boston, MA, USA 2005-2006
Junior Research Associate Quaid-i-Azam University, Islamabad, Pakistan 2001-2003
HONORS & AWARDS
National Aeronautics and Space Administration (NASA) Earth Science Fellowship 2008-2011
Atmospheric Radar Research Center (ARRC) student paper awards at OU 2011
Charles Standley Memorial Award, College of Atmospheric & Geographic Sciences at OU 2010
American Geophysical Union (AGU) best student paper award, Hydrology Section 2009
Ralph E. and Margaret Olson Award, College of Atmospheric & Geographic Sciences, OU 2009
Refereed Journal Papers
Khan, S. I., Y. Hong, J. J. Gourley, M. U. K. Khattak, Spatial and Diurnal Variability of Monsoon Systems assessed by TRMM rain rate over Indus Basin. “IEEE Journal of Special Topics in Applied Earth Observations and Remote Sensing”, 2015. DOI 10.1109/JSTARS.2015.2421947
Khan, S. I., Y. Hong, J. J. Gourley, M.U. Khattak, B. Yong, Vergara H. J. (2014), Evaluation of Three High-Resolution Satellite Precipitation Estimates: Potential for Monsoon Monitoring over Pakistan. Advances in Space Research. 54, 670-684. doi: 10.1016/j.asr.2014.04.017.
Khan, S. I.; Y. Hong, J. J. Gourley, M.U. Khattak, De Groeve, T (2014) Multi-Sensor Imaging and Space-Ground Cross-Validation for 2010 Flood along Indus River, Pakistan. Remote Sensing. 6, 2393-2407. doi: 10.3390/rs6032393.
Zhanming Wan, Y. Hong, S. I. Khan, J. J. Gourley, Flamig Z, Kirschbaum. D, Tang. G (2014), A Cloud-based Global Flood Disaster Community Cyber-infrastructure: Development and Demonstration. Environmental Modeling & Software. 58, 86-94. doi:10.1016/j.envsoft.2014.04.007. PDF: Download.
Chen, S., Y. Hong, J. J. Gourley, G. J. Huffman, Y. Tian, Q. Cao, P. Kirstetter, B. Yong, J. Hu, J. Hardy, Z. Li, S. I. Khan, X. Xue, (2013) Evaluation of the Successive V6 and V7 TRMM Multi-satellite Precipitation Analysis over the Continental United States. Water Resources Research.,49, doi:10.1002/2012WR012795..
Xue, X., Y. Hong, A.S Limaye, J. J. Gourley, G. J. Huffman, S. I. Khan, Dorji, C and Chen, S (2013), Statistical and Hydrological Evaluation of TRMM-based Multi-satellite Precipitation Analysis over the Wangchu Basin of Bhutan: Are the Latest Satellite Precipitation Products 3B42V7 Ready for Use in Ungauged Basins?. Journal of Hydrology. doi:10.1016/j.jhydrol.2013.06.042
Khan, S. I., Y. Hong, H. J. Vergara, J. J. Gourley, G. R. Brakenridge, T. De Groeve, Z. L. Flamig, F. Policelli, and B. Yong (2012), Microwave Satellite Data for Hydrologic Modeling in Ungauged Basins, IEEE Geoscience and Remote Sensing Letters, PP (99), 1-5. doi: 10.1109/LGRS.2011.2177807. PDF
Yong, B., Y. Hong, L. L. Ren, , J. J. Gourley, G. J. Huffman, X. Chen, W. Wang, and S. I. Khan (2012), Assessment of evolving TRMM-based multi-satellite real-time precipitation estimation methods and their impacts on hydrologic prediction in a high latitude basin, Journal of Geophysical Research- Atmosphere, 117 (D9), D09108. doi: 10.1029/2011JD017069. PDF
Khan, S. I., Y. Hong, J. Wang, K. K. Yilmaz, J. J. Gourley, R. F. Adler, G. R. Brakenridge, F. Policelli, S. Habib, and D. Irwin (2011), Satellite Remote Sensing and Hydrologic Modeling for Flood Inundation Mapping in Lake Victoria Basin: Implications for Hydrologic Prediction in Ungauged Basins, IEEE Transactions on Geoscience and Remote Sensing, 49(1), 85-95, doi: 10.1109/TGRS.2010.2057513. PDF
Khan, S. I., P. Adhikari, Y. Hong, H. Vergara, R. F Adler, F. Policelli, D. Irwin, T. Korme, and L. Okello (2011), Hydroclimatology of Lake Victoria region using hydrologic model and satellite remote sensing data, Hydrology and Earth System Science., 15(1), 107-117, doi:10.5194/hessd-7-4785. PDF
Wang. J., Y. Hong, L. Li, J.J. Gourley, K. Yilmaz, S. I. Khan, F.S. Policelli, R.F. Adler, S. Habib, D. Irwn, S.A. Limaye, T. Korme, and L. Okello, 2011: The Coupled Routing and Excess STorage (CREST) distributed hydrological model. Hydrol. Sciences Journal, 56, 84-98. doi:10.1080/02626667.2010.543087. PDF
Liu, W., Y. Hong, S.I. Khan, M. Huang, T. Grout, and P. Adhikari, 2011: Evaluation of Global Daily Reference ET Using Oklahoma’s Environmental Monitoring Network-MESONET. Water Resources Management, 25, 1601-1613, doi:10.1007/s11269-010-9763-0. PDF
Khan, S. I., Y. Hong, B. Vieux, and W. Liu (2010), Developmentevaluation of an actual evapotranspiration estimation algorithm using satellite remote sensingmeteorological observational network in Oklahoma, International Journal of Remote Sensing, 31(14), 3799-3819, doi: 10.1080/01431161.2010.483487. PDF
Liu, W., Y. Hong, S. I. Khan, M. Huang, B. Vieux, S. Caliskan and T. Grout, 2010: Actual evapotranspiration estimation for different land use and land cover in urban regions using Landsat 5 data. Journal of Applied Remote Sensing, 4 (1), 041873-041873. doi:10.1117/1.3525566. PDF
Book or Book Chapter
Khan, S. I., Y. Hong and L, Wenjuan (2014) Chapter 45. Evapotranspiration and Water Consumption Variability. book chapter in Saeid Eslamian, (eds.), Handbook of Engineering Hydrology. Vol. 2: Modeling Climate Changes and Variability, Taylor & Francis http://www.crcpress.com/product/isbn/9781466552357
Khan, S. I., Y. Hong and J. Wang, (2012) “Satellite Remote Sensing for Flood Monitoring and Inundation Mapping: Africa Case Study”, book chapter in Ni-Bin Chang and Yang Hong (eds.), Multi-scale Hydrologic Remote Sensing: Prospects and Applications, Taylor & Francis http://www.crcpress.com/product/isbn/978143987745
Hong, Y., S.I. Khan, C. Liu, Y. Zhang, (2012) “Global Soil Moisture Measurement and Application”, book chapter in Ni-Bin Chang and Yang Hong (eds.), Multi-scale Hydrologic Remote Sensing: Prospects and Applications, Taylor & Francis http://www.crcpress.com/product/isbn/9781439877456
RESEARCH GRANTS & AWARDS
 PI: Multi-sectoral Capacity Building for Renewable Energy Assessment in Pakistan through Geospatial Data and Environmental Modeling.
Source of Support: U.S. National Academies of Science and Department of State. Amount, Period & Status:$430,000 (07/1/2015 to 06/30/2018), Pending
 Science -PI: Capacity Building in Disaster Risk Assessment and Management through Training and Research in Geo-informatics and Hydrometeorological Hazard Risk Reduction Strategies.
Source of Support: U.S. National Academies of Science & Department of State
Amount, Period & Status: $230,000 (11/1/2010 to 07/31/2014),Completed
 Co-I: Data Sets for Weather/Climate Extremes
Source of Support:USDC-NOAA
Amount, Period & Status: OU share $90,000 (09/01/2014 to 08/30/2017), Pending
 Co-PI: Integrating Distributed Hydrological Forecasting Model and Flood Risk Analysis Framework for NASA SERVIR System
Source of Support: NASA Earth and Space Science Fellowship program.
Amount Period & Status: $ 98,000 (09/2008-08/2012), Completed
 Co-I: Water Use Monitoring using Remote Sensing Methods.
Source of Support: USGS/OWRRI/Oklahoma Water Resource Board
Amount, Period & Status: $50,000 (03/2008-02/2009), Completed
Khan S. I., Y. Hong; Capacity Building in Disaster Risk Assessment and Management through Training and Research in GeoInformatics and Hydrometeorological Hazard Risk Reduction Strategies. Annual Technical report to National Academy of Science on the Pakistan-U.S. Science and Technology Cooperation Program. 2012, 2013, 2014.
Khan S. I., Y. Hong; “Integrating Satellite Data with Distributed Hydrologic Model and Flood Risk Analysis Framework for NASA SERVIR System” Final Report on Grant number (NNX08AX63H) under NASA ROSES Earth and Space Science Fellowship Program. 2012
Hong, Y., B. Vieux, S. Khan, W. Liu, Evaluation of Water Use Monitoring by Remote Sensing ET Estimation Methods, Final Technical Report for Oklahoma State University Environmental Institute and United States Geological Survey, 2009
Hannah K. Huelsing, S.I. Khan, Y. Hong, and H. Vergara. Evaluation of Precipitation Diurnal Variability by TRMM: Case of Pakistan’s 2010 Intense Monsoon’ 93rd AMS Annual Meeting Austin, TX. 6–10 January 2013.
Khan S. I., Y. Hong; J. J. Gourley; T. De Groeve; G.R Brackenridge R. F. Adler; F. Policelli; Microwave Satellite Remote Sensing for Flood monitoring in un-gauged basin. 93rd AMS Annual Meeting Austin, TX. 13-17 Dec 2012.
Khan S. I., Y. Hong; J. J. Gourley; T. De Groeve; G.R Brackenridge R. F. Adler; F. Policelli; Microwave Satellite Remote Sensing for Flood monitoring in un-gauged basin. 2010 Fall Meeting, AGU, San Francisco, CA. 13-17 Dec 2010.
Khan, S. I., Y. Hong. Satellite remote sensing and environmental monitoring network based actual evapotranspiration estimation. AAG Annual Meeting, Washington, DC. April 14 2010.
Khan, S. I., Y. Hong; J. Wang; K. K. Yilmaz; J. J. Gourley; R. F. Adler; G. R. Brakenridge; F. Policelli; S. Habib; D. Irwin. Satellite Remote Sensing and Hydrological Modeling for Flood Inundation Mapping in Lake Victoria Basin: Implications for Hydrologic Prediction in Ungauged Basins. 2009 Fall Meeting AGU, San Francisco, CA. 14-18 Dec. 2009. Hong, Y., B. Vieux, S.I.
Khan, W. Liu, Evaluation of Water Use Monitoring by Remote Sensing ET Estimation Methods, Final Technical Report for Oklahoma State University Environmental Institute and United States Geological Survey. June. 2009
Liu, W., Y. Hong, S.I. Khan, B. Vieux, Water use measured from the sky, 30th Annual Governor’s water conference &7th Annual OWRRI Water Research Symposium, Oklahoma City, OK, Nov 5 2009
Hong, Y., B. Vieux, and S.I. Khan,, Integrating Remotely Sensed and Hydrologically Modeled ET for Water Use Management in Oklahoma, Governor Conference on Water, Oct. 2008, Oklahoma City, OK
Educational Outreach & External Service
Proposal Reviewer National Science Foundation National Oceanic and Atmospheric Administration. (Climate Program Office)
Scientific Journal Associate Editor British Journal of Environment and Climate Change
Scientific Journal Article Reviewer Nature (Scientific Reports) IEEE Geoscience and Remote Sensing Letters International Journal of Remote Sensing Hydrological Processes Remote Sensing Natural Hazards
Professional Society Affiliations Member, Association of American Geographers (Natural Hazard, Remote Sensing and GIS) Member, American Geophysical Union (Hydrology, Natural Hazard) Member IEEE (Geoscience and Remote Sensing Society)
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