Thian Gan, PhD, PEng, PE, FASCE

Professor, Water Resources Engineering

Office: 2-230 Donadeo Innovation Cntr for Engineering 
Phone: 780 492 9376
E-mail: tgan@ualberta.ca

Research Interests

Thian Yew Gan is a professor of the University of Alberta, Edmonton, Canada since 1993, research ambassador of German Academic Exchange Service, and a fellow of the American Society of Civil Engineers (ASCE). His teaching/research in snow hydrology, remote sensing, hydrologic modeling, hydroclimatology, climate change, and water resources management and planning has gained international recognition. Dr. Gan has supervised 7 postdoctoral fellows, graduated 11 PhDs and 25 master students. Dr. Gan has published a book, “Global Cryosphere – Past, Present and Future”, 472 pages, Cambridge University Press, and about 100 refereed papers in various reputable, peer reviewed international journals of (1) Nature Publishing Group, e.g., Scientific Report (2) American Geophysical Union, e.g., Water Resources Research, Journal Geophysical Research-atmosphere; (3) American Meteorological Society, e.g., Journal of Climate, Journal Applied Meteorology, Journal of Hydrometeorology, (4) Royal Meteorological Society such as International Journal of Climatology, (5) Elsevier Science, e.g., Advances in Water Resources and Journal of Hydrology, (6) ASCE such as Journal of Water Resources Management & Planning, Journal of Hydrologic Engineering, (7) Hydrologic Processes, International Journal of Remote Sensing, Remote Sensing of Environment, Int. J. of Applied Earth Observation and Geoinformation, Quaternary International and others.

Research Currently in Progress

  1. Climate Change Research: Dr. Gan has conducted hydrologic impacts of climatic change to river basins of USA, Canada, and Germany, and uncertainties associated with climate change projections to river basins of Alberta. One of his climate change papers, Lettenmaier & Gan (1990), on the climate change effect on watersheds of California, was cited 285 times.
  2. Satellite Data research: Dr. Gan had used Landsat-TM data to map the migration of Jamuna River of Ganges Bhamaputra; ERS-SAR data of ESA to map the flooding of Danube River; infrared-microwave data to estimate precipitation; Global Vegetation Moisture Index to model the gross primary production of forests in USA; vegetation indices to develop vegetation-climate relationships; and merged WSR-88D radar rainfall data with rain gauge data using wavelet analysis; developed algorithms to retrieve snow water equivalent from passive microwave SSM/I data, and retrieved soil moisture from Radarsat SAR data.
  3. Land Surface Scheme (LSS) and Hydroclimatology Research: Developed a combined climate-hydrologic system for Zambia, Africa that predicts the basin hydrology at one/two season lead time; modified a LSS (MISBA) to incorporate northern features of Athabasca River Basin of Alberta. Wavelet analysis, EOF, and Independent Component Analysis to regionalize and to predict precipitation and streamflow of Africa and North America; multifractal analysis of climate data; modified drought indices to better monitor drought severity, the impact of ENSO on climate of East, central and southern Africa.

Education

  • 1987     Ph.D., University of Washington at Seattle, USA
  • 1979     M.S.E., University of Texas at Austin, USA
  • 1977     B.E. (Hons) in Civil Engineering, University of Malaya

Professional Experience

  • 2016 - Visiting Professor, Chinese University of Hongkong, Hongkong
  • 2015 - Visiting Professor, Technical University of Berlin, Germany
  • 2014 - Isaac Manasseh Meyer Fellow, National University of Singapore, Singapore
  • 2013 - Visiting Scholar, United Nation University-FLORES, Dresden, Germany
               Visiting Professor, Aalto University, Otaneimi, Finland
               Tan Chin Tuan Fellow, Nanyang Technological University, Singapore
  • 2012 - Rossby Visiting Fellow, International Meteorological Institute, Stockholm University
  • 2011 - Present - DAAD (German Academic Exchange Service) Research Ambassador, Germany
  • 2011 - Erskine Visiting Fellow, University of Canterbury, Christchurch, New Zealand
  • 2010 - Visiting professor to EPFL, EFLUM Lab of Env. Fluid & Hydrology, Lausanne, Switzerland
  • 2010 - 2013 Honorary professor of Yangtze University, China
  • 2009 - France-Canada Research Grant Recipient, Cemagraf, Anthony Cedex, France
  • 2007/08 - Cooperative Inst. Research on Environmental Sc. Visiting Fellow, Uni. of Colorado at Boulder
  • 2006/07 - Guest University Professor (W3), Technical University of Munich
  • 1998 - 2005 Adjunct professor of Utah State University
  • 2004 - Elected Fellow of American Society of Civil Engineers
  • 2004 - Present - Honorary Professor of Xian University of Technology, China
  • 2002 - Present - Professor, Dept. of Civil & Environmental Engineering, University of Alberta
  • 1999 - 2000 - Visiting professor of Kyoto University and JSPS Fellow
  • 1999 - Guest professor of Saga University, Japan
  • 1996-2002 - Tenured Associate Professor, Dept. of Civil & Environmental Engineering, Uni. of Alberta
  • 1993-1996 - Untenured Associate Professor, Dept. of Civil & Environmental Engineering, Uni. of Alberta
  • 1992-93 - Regional Hydrologist, Indian & Northern Affairs Canada, Canada
  • 1991 - Visiting Research fellow, National Hydrology Research Centre, Canada
  • 1989-1990 - Assistant professor of Asian Institute of Technology, Thailand
Dr. Gan has Hirsch index score: H24 and over 2,900 scientific citations (Google Scholar).
Books: Barry, R., and Gan, T. Y., 2011, Global Cryosphere, Past, Present and Future, 472 pages, Cambridge University Press, ISBN: 9780521769815 (Hardcover) & 9780521156851 (Paperback).

Professional Affiliations

  • Association of Professional Engineers, Geologists & Geophysicists, Province of Alberta (Professional Engineer)
  • Professional Engineers & Land Surveyors, State of Washington, USA (Professional Engineer)
  • Fellow of the American Society of Civil Engineers
  • Member of the American Society for Engineering Education
  • Member of the International Association of hydrological Sciences
  • Member of the American Geophysics Union
  • Member of the Canadian Geophysics Union
  • Member of the International Association of Lowland Technology

Honours and Awards

  • 2014 - Isaac Manasseh Meyer Fellowship, National University of Singapore, Singapore
  • 2013 - Tan Chin Tuan Fellowship, Nanyang Technological University, Singapore
  • 2012 - Rossby Visiting Fellowship, International Meterological Institute, Stockholm University
  • 2011 - Erskine Visiting Fellowship, University of Cantebury, Christchurch, New Zealand
  • 2009-2010 Visiting scientist to Ludwig-Maximilians-Universitat (LMU)
  • 2009 France-Canada Research Grant Recipient and Visiting Scientist, Cemagraf, France
  • 2007-2008 CIRES (Cooperative Institute Research on Environmental Sciences) Visiting Fellow and Visiting Scientist, University of Colorado at Boulder
  • 2006-2007 Guest University Professor-W3, Technical University of Munich, Germany
  • 2006-2007 Visiting Professorship by German Academic Exchange Service (DAAD)
  • 2004 Fellow, American Society of Civil Engineers
  • 2004 Honorary Professorship, Xian University of Technology, P.R. China
  • 1998-present Adjunct Professorship, Utah State University, Logan, USA
  • 1999-2000 Visiting Professorship, Department of Civil Engineering Systems, Kyoto University, Japan
  • 1999 Guest Professorship, Institute of Lowland Technology, Saga University, Japan
  • 1999-2000 JSPS (Japan Society for the Promotion of Science) Fellowhship, Japan
  • 1990-1992 Visiting Fellowship by the Natural Science and Engineering Research Council (NSERC), Canada

Top Technical Publications & Refereed Journals

  1. Kuo, C. C., Gan, T. Y., and Higuchi, K., 2016, Potential impacts of climate change to streamflow patterns of River basins of Lake Simcoe, to submit to Climatic Change.
  2. Tan, X., and Gan, T. Y., 2016, Projected timing of perceivable change in extreme climate, submitted to Nature Climate Change, Natural Publishing Group.
  3. Tan, X., and Gan, T. Y., 2016, Influence of Large-scale Climate Patterns on Extreme Precipitation of Canada, revised, Climate Dynamics.
  4. Tan, X., and Gan, T. Y., 2015, Contribution of human and climate change impacts to changes in streamflow of Canada, Scientific Reports, Nature Publishing Group, 17767; doi: 10.1038/srep17767.
  5. Jiang, R., Gan, T. Y., Xie, J., Ni, W., and Kuo, C. C., 2015, Historical and Potential Changes of Precipitation and Temperature of Alberta subjected to Climate Change Impact: 1900-2100, Journal of Theoretical and Applied Climatology, DOI 10.1007/s00704-015-1664-y.
  6. Elsanabary, M., Gan, T. Y., 2015, Evaluation of climate Anomalies Impacts on the Upper Blue Nile Basin in Ethiopia Using a Distributed and a Lumped Hydrologic Models, Journal of Hydrology, dx.doi.org/10.1016/j.jhydrol.2015.09.052.
  7. T. Y. Gan, Mari Ito, S Huelsmann, X Qin, X Lu, S. Y Liong, P Rutschman, M Disse & H Koivosalo, 2015, Possible climate change/variability and human impacts, vulnerability of African drought prone regions, its water resources and capacity building, Hydrological Sciences Journal, DOI: 10.1080/02626667.2015.1057143.
  8. Gizaw, M., and Gan, T. Y., 2015, Possible Impact of climate change on future extreme precipitation of the Oldman, Bow and Red Deer River Basins of Alberta, Int. Journal Climatology, DOI:10.1002/joc.4338.
  9. Tseng, H. W., Gan, T. Y., and Yu, P. S., 2015, Composite Drought indices of Monotonic Behaviour for Assessing Potential Impact of Climate Change to a Water Resources System, Water Resources Management, DOI 10.1007/s11269-015-0945-7.
  10. Islam, Z., and Gan, T. Y., 2015, Hydrologic Modeling of Blue River Basin using NEXRAD Precipitation Data with a Semi and a Fully Distributed Models, J Hydrologic Engineering, DOI: 10.1061/(ASCE)HE.1943-5584.0001179.
  11. Tan, X., and Gan, T. Y., 2014, Nonstationary analysis of annual maximum streamflow of Canada, submitted to Journal of Climate, 50 pages.
  12. Kuo, C. C. and Gan, T. Y., 2014, Risk of exceeding Extreme Design Storm Events Under Possible Impact of Climate Change, submitted to J. Hydrologic Engineering, 26 pages, ASCE.
  13. Islam, Z., and Gan, T. Y., 2014, Potential Combined Hydrologic Impacts of Climate Change and El Niño Southern Oscillation to South Saskatchewan River Basin, revised, J. of Hydrology, Elsevier Science.
  14. Islam, Z., and Gan, T. Y., 2014, Combined Impacts of Climate Change and ENSO on Surface Water Management of South Saskatchewan River Basin, revised, Hydrologic Science Journal.
  15. Kuo, C. C., Gan, T. Y., and Gizaw, M., 2014, Potential impact of climate change on Intensity Duration Frequency curves of central Alberta, revised, Climatic Change.
  16. Islam, Z., and Gan, T. Y., 2014, Future Irrigation Demand of South Saskatchewan River Basin under the Combined Impacts of Climate Change and El Niño Southern Oscillation, revised, J. Water Resources Management.
  17. Elsanabary, M., Gan, T. Y., 2014, Weekly Streamflow Forecasting Using Statistical Disaggregation Model for the Upper Blue Nile Basin, in press, J. Hydrologic Engineering, ASCE.
  18. Fu, X., Gan, T. Y., and, Kuo, C. C., 2014, Change point analysis of precipitation indices of Western Canada, Int J. of Climatology, RMS, DOI: 10.1002/joc.4144.
  19. Hanrahan, J., Kuo, C. C., and Gan, T. Y., 2014, Configuration and validation of a mesoscale atmospheric model for simulating summer rainfall in Alberta, Int. J. of Climatology, RMS, DOI: 10.1002/joc.4011.
  20. Kuo, C. C., Gan, T. Y, and Hanrahan, J., 2014, Precipitation frequency analysis based on regional climate simulation in Central Alberta, J. of Hydrology, Elsevier Science, doi: http://dx.doi.org/10.1016/j.jhydrol.2013.12.051.
  21. Gan, T. Y., Barry, R., and Gobena, A., 2014, Changes in Canadian Prairies Snowpacks for 1979-2004 Detected from the Snow Water Equivalent data of SMMR and SSM/I Passive Microwave & related Climatic Factors, AGU Chapman Monograph on Remote Sensing of the Terrestrial Water Cycle, AGU Geophysical Monograph number 206, ISBN: 9781118872031.
  22. Nasreen, J. and T. Y. Gan, 2014, Soil moisture retrieval from microwave (RADARSAT-2) and optical remote sensing (MODIS) data using artificial intelligence techniques, in press, AGU Chapman Monograph on Remote Sensing of the Terrestrial Water Cycle, , AGU Geophysical Monograph number 206, ISBN: 9781118872031.
  23. Islam, Z., and Gan, T. Y., 2014, Effects of Climate Change on the Surface Water Management of South Saskatchewan River Basin, J. of Water Res. Planning & Management, ASCE, DOI: 10.1061/(ASCE)WR.1943-5452.0000326.
  24. Jiang, R. G., Gan, T. Y., Xie, J., and Ni, W., 2013, Spatiotemporal variability of Alberta’s seasonal precipitation, their teleconnection with large-scale climate anomalies and sea surface temperature, Int. J. Climatology, RMS, DOI: 10.1002/joc.3883.
  25. Kannel, P., and Gan, T. Y., 2013, Application of WASP for modelling and management of naphthenic acids along Athabasca River, Alberta, Canada, Journal of Water, Air, & Soil Pollution, DOI 10.1007/s11270-013-1764-1.
  26. Elsanabary, M., Gan, T. Y., Mwale, D., 2013, Application of Wavelet Empirical Orthogonal Function Analysis to Investigate the Nonstationary Character of Ethiopian Rainfall and its Teleconnection to Nonstationary Global Sea Surface Temperature Variations for 1900-1998, Int. J. of Climatology, DOI: 10.1002/joc.3802
  27. Elsanabary, M., and Gan, T. Y., 2013, Wavelet Analysis of Seasonal Rainfall Variability of the Upper Blue Nile Basin, its Teleconnection to Global Sea Surface Temperature, and its Prediction by an Artificial Neural Network, Monthly Weather Review, AMS, doi: http://dx.doi.org/10.1175/MWR-D-13-00085.1
  28. Gan, T. Y., Barry, R., Gobena, A., and Rajagopalan, B., 2013, Changes in North America Snowpacks for 1979-2007 Detected from the Snow Water Equivalent data of SMMR and SSM/I Passive Microwave & related Climatic Factors, J. Geophysic. Research-Atm. Vol. 118, 1–15, doi:10.1002/jgrd.50507.
  29. Gobena and Gan, 2013, An assessment of summer moisture variability in Western Canada based on Palmer Drought Severity Index, Journal of Climate, AMS, DOI: 10.1175/JCLI-D-12-00421.1.
  30. Kerkhoven, E., and T.Y. Gan, 2013, Differences in the Potential Hydrologic Impact of Climate Change to the Athabasca and Fraser River Basins with & without Considering the Effects of Shifts in Vegetation patterns Caused by Climate Change, Journal of Hydrometeorology, DOI: 10.1175/JHM-D-12-011.1
  31. Hossain, M. A., Gan, T. Y., and Baki, A. B. M., 2013, Assessing Morphological Changes of the Ganges River using satellite Images, Quatern.ary International, http://dx.doi.org/10.1016/j.quaint.2013.03.028
  32. Nasreen, J., and Gan, T. Y., 2013, A gross primary production model for coniferous forests of northeastern USA from MODIS data, Int. J. of Applied Earth Observation and Geoinformation, 25, pg.11-20, http://dx.doi.org/10.1016/j.jag.2013.03.006.
  33. Kuo, C. C., Gan, T. Y., and Chen, S., 2013, Regional Intensity-Duration-Frequency Curves Derived from Ensemble Empirical Mode Decomposition and Scaling Property, J. Hydrologic Engin., 18(1), pg. 66-74, ISSN 1084-0699/2013/1-66-74.
  34. Kannel, P. R., and, Gan, T. Y., 2012, Naphthenic Acids Degradation and Toxicity Mitigation in Oil Sands Processed Water and Aquatic Environments - A Review, Journal of Environmental Science And Health, Part A, 47, 1-21, Taylor and Francis, DOI: 10.1080/10934529.2012.629574.
  35. Gan, T. Y., Zunic, F., Kuo, C. C., and Strobl, T., 2012, Flood mapping of Danube River at Romania using single and multi-date ERS2-SAR Images, Int. J. of App. Earth Obser. & Geoinformation, doi:10.1016/j.jag.2012.01.012.
  36. Baki, A. B. M., and Gan, T. Y., 2012, Mapping Riverbank Migration and Island Dynamics of the Braided Jamuna River of Ganges-Brahmaputra Using Multi-Temporal Landsat Images, Quaternary International, Elsevier Science, doi:10.1016/j.quaint.2012.03.016
  37. Kerkhoven, E., and T.Y. Gan, 2011, Differences and Sensitivities in Potential Hydrologic Impact of Climate Change to Regional-Scale Athabasca and Fraser River Basins of the Leeward and Windward Sides of the Canadian Rocky Mountains Respectively, Climatic Change, 106(4), DOI 10.1007/s10584-010-9958-7.
  38. Tanzeeba, S., and Gan, T. Y., 2011, Potential Impact Of Climate Change on the Water Availability of South Saskatchewan River Basin, Clima.c Change, DOI10.1007/s10584-011-0221-7
  39. Nasreen, J., and Gan, T. Y., 2011, Modeling vegetation-climate relationship in a central mixed wood forest of Alberta using NDVI difference and EVI, Int. Remote Sensing, 1-24, DOI: 10.1080/014311609034641461.
  40. Mwale, D., Gan, T. Y., Devito, K., Mendoza, C., Silins, U., and Petrone, R., 2011, Regionalization of Runoff Variability in Alberta, Canada by Empirical Orthogonal Functions and Independent Component Analysis, J. Hydrologic Engineering, 16(2), February 1, ASCE, DOI: 10.1061/(ASCE)HE.1943-5584.0000284.
  41. Kannel, P. R., Kanel, S. R., Lee, S., Lee, Y. S., and Gan, T. Y., 2011, A Review of Public Domain Water Quality Models for Simulating DO in Rivers, Environ Model Assess, 16:183–204, DOI 10.1007/s10666-010-9235-1.
  42. Kalinga, O., and Gan, T. Y., 2011, Merging WSR-88D stage III radar rainfall data with rain gauge measurements using wavelet analysis, Int. J. Remote Sensing, DOI: 10.1080/01431161.2010.550641
  43. Smith, M., Koren V., Zhang, Z., Zhang, Y., Reed, S., Cui, Z., F. Moreda, B. Cosgrove, N. Mizukami, E. A. Anderson, Gan, T. Y., Islam, Z., et al., 2011, Results of the DMIP 2 Oklahoma experiments, J. Hydrology, doi:10.1016/j.jhydrol.2011.08.056.
  44. Mwale, D. and Gan, T.Y., 2010, Integrating Wavelet Empirical Orthogonal Functions and Statistical Disaggregation for Predicting Weekly Streamflow from Seasonal Oceanic Variability for Kafue Basin, Central Southern Africa, J. Hydrologic Engineering, 15(10), 1-12, DOI: 10.1061/(ASCE)HE.1943-5584.0000231. 
  45. Kuo, C. C., Gan, T. Y., and Yu, P., 2010, Seasonal streamflow prediction by a Combined Climate-Hydrologic System for river basins of Taiwan, J. of Hydrology, 387, 292-303, doi:10.1016/j.jhydrol.2010.04.020.
  46. Kerkhoven, E., and T.Y. Gan, 2011, Unconditional Uncertainty of River Flows subjected to climate change, J. of Hydrology, doi:10.1016/j.jhydrol.2010.10.042.
  47. Gobena, A., and Gan, T. Y., 2010, Incorporating of seasonal climate forecasts in the ensemble streamflow prediction system, J. of Hydrology, 385, 336-352, Elsevier Science, doi:10.1016/j.jhydrol.2010.03.002.
  48. Kuo, C. C., Gan, T. Y., Yu, P. S., 2010, Wavelet Analysis on the Variability, Teleconnectivity & Predictability of Seasonal Rainfall of Taiwan. Monthly Weather Rev., 138(1), 162-175, AMS.
  49. Kalinga, O., and Gan, T. Y., 2010, Estimation of Rainfall from Infrared-Microwave Satellite Data for Basin Scale Hydrologic Modeling, Hydrologic Proc., 24, DOI: 10.1002/hyp.7626.
  50. Gobena, A., and Gan, T. Y., 2009, The Role of Pacific Climate on Low Frequency Hydroclimatic Variability & Predictability in Southern Alberta, Canada, J. of Hydromet., 10(6),p1463-1476, DOI: 10.1175/2009JHM1119.1
  51. Gobena A. K., and Gan, T. Y., 2009, Statistical ensemble seasonal streamflow forecasting in the South Saskatchewan River Basin by a modified nearest neighbors re-sampling, J. Hydrologic Engineering, ASCE, 14(6), DOI: 10.1061/(ASCE)HE.1943-5584.0000021.
  52. Mwale, D., Gan, T. Y., Devito, K., and Silins, 2009, Precipitation Variability & Its Relationship to Hydrologic Variability and Physical Features in Alberta, Hydrol. Proc., 23, 3040-3056, DOI: 10.1002/hyp.7415
  53. Gan, T. Y., Kalinga, O., and Singh, P. R., 2009, Comparison of Snow Water Equivalent Retrieved from SSM/I Passive Microwave data using Artificial Neural Network, Projection Pursuit & Nonlinear Regressions, Remote Sensing of Environment, 25 (21), 4593-4615, doi:10.1016/j.rse.2009.01.004.
  54. Nasreen, J. and T. Y. Gan, 2009, Modeling gross primary production of deciduous forest using remotely sensed radiation and ecosystem variables, J. Geophys. Res., 114, G04026, doi:10.1029/2008JG000919.
  55. Singh, P. R., T. Y. Gan, and A. K. Gobena, 2009, Evaluating a hierarchy of snowmelt models at a watershed in the Canadian Prairies, J. Geophys. Res., 114, D04109, doi:10.1029/2008JD010597.
  56. Yue, S., and Gan, T. Y., 2008, Scaling properties of Canadian flood flows, Hydrologic Processes, 22, www.interscience.wiley.com, DOI: 10.1002/hyp.7135.
  57. Mwale, D., Gan, T. Y., et al., 2007, Wavelet Empirical Orthogonal Functions Of Space-Time-Frequency Regimes & Predictability of Southern Africa Summer Rainfall, J. Hydrologic Engineering, ASCE, 12(5), 513-523.
  58. Gan, T.Y., Gobena, A., and Wang, Q., 2007, Precipitation of Western Canada - Wavelet, Scaling, & Multifractal Analysis & Teleconnection to Large-Scale Climate Anomalies, J. Geoph. Res.–Atm., 112, D10110, doi:10.1029/2006JD007157.
  59. Kalinga, O., and Gan, T. Y., 2006, Semi-Distributed Modeling of Basin Hydrology with Radar and Gauged Precipitation, Hydrologic Processes, 20, 3725-3746, DOI: 10.1002/ hyp.6385.
  60. Kalinga, O., and Gan, T. Y., 2006, Hydrologic Modeling Of A Small Convective Storm With Merged Radar And Gauged Precipitation, International Journal of Remote Sensing, DOI: 10.1080/01431160600857477.
  61. Kerkhoven, E., and Gan, T. Y., 2006, A Modified ISBA Surface Scheme for Modeling the Hydrology of Athabasca River Basin with GCM-scale Data, Advances in Water Resources, 29(6), 808-826.
  62. Gobena A. K., and Gan, T. Y., 2006, Low-frequency variability in southwestern Canadian streamflow: links to large-scale climate anomalies, Int. J. Climatol., 26, 1843-1869, doi:10.1002/joc.1336.
  63. Gan, T. Y., and S. J., Burges, 2006, Assessment of Soil-Based and Calibrated Parameters of the Sacramento Model and Parameter Transferability, J. of Hydrology, 320, 117-131.
  64. Kerkhoven, E., Gan, T.Y., Shiiba, M., G. Reuter, and Tanaka, K., 2006, A comparison of cumulus parameterization schemes in a numerical weather prediction model for a monsoon rainfall event, Hydro. Processes, 20, 1961-1978.
  65. Mwale, D. and Gan, T.Y., 2005, Wavelet analysis on variability, teleconnectivity and predictability of the September-November East African Rainfall, J. of Applied Meteorology, AMS, 44, 256-269.
  66. Devito, K., Creed, I., Gan, T.Y., Mendoza, C., Petrone, R., Silins, U., Smerdon, B., 2005, A framework for broad-scale classification of hydrologic response units on the Boreal Plain: Is topography the last thing to consider?, Hydrologic Processes Today, 19: 1705-1714.
  67. Singh, P.S., Gan, T.Y., and Gobena, A.K., 2005, A modified temperature index approach for snowmelt modeling in the Canadian Prairies using near surface soil & air temperature, J. of Hydro. Eng., ASCE, 10(5), 405-419.
  68. Singh, P., & Gan, T. Y., 2005, Modeling Snowpack Temperature in Canadian Prairies, Hyd. Proc., 19, 3481-3500.
  69. Mwale, D., Gan, T. Y., and Shen, S. S. P., 2004, A new analysis on variability and predictability of seasonal rainfall of Central Southern Africa, Int. J. of Climatology, RMS, 24, 1509-1530.
  70. Ntale, H. K., and Gan, T.Y., 2004, East African Rainfall Anomaly Patterns in Association with El Niño/Southern Oscillation, J Hydrologic Eng., ASCE, 9(4), 257-268.
  71. Biftu, G. F., and T.Y. Gan, 2004, Semi-distributed, Hydrologic Modeling of Dry Catchment with Remotely Sensed and Digital Terrain Elevation Data, Int. J. Remote Sensing, 25(20), 4351-4379.
  72. Yue, S. and Gan, T. Y., 2004, Simple scaling properties of Canadian maximum annual streamflow, Advances in Water Resources, 27, p. 481-495. 
  73. Gan, T.Y., Kalinga, O., K. Ohgushi, and H. Araki, 2004, Retrieving Seawater Turbidity From Landsat-TM Data by Regressions and Artificial Neural Network, Int. J. Remote Sensing, 25(21), 4593-4615.
  74. Ohgushi, K., Araki, H., and Gan, T. Y., 2004, Water quality monitoring of the Ariake Sea by remote sensing and utilization of field observation, International J. Lowland Technology, 6(2), 1-9.
  75. Ntale, H. K., and Gan, T.Y., 2003, Drought indices and their application to East Africa, Int J. of Climatology, Royal Meteorological Society, 23, p. 1335-1357.
  76. Ntale, H. K., and Gan, T.Y., Mwale, D., 2003, Prediction of East African Seasonal Rainfall Using Canonical Correlation Analysis, J. of Climate, 16(12), p. 2105-2112, June.
  77. Gan, T.Y., Q. Wang, and M. Seneka, 2002, Correlation Dimensions of Climate Sub-Systems and their Geographic Variability, J. Geophysical Re. -Atmospheres, 107, Iss. D23, p.4728.
  78. Gan, T.Y., 2002, Relating runoff curve number to hydrologic conditions and soil properties, International J. Lowland Technology, 4(1), 21-36. 
  79. Biftu, G. F., and T.Y., 2001, Gan, Semi-distributed, Physically Based, Hydrologic Modeling of the Paddle River Basin, Alberta using Remotely Sensed data, J of Hydro., 244, p.137-156.
  80. Singh, P.S., and Gan, T.Y., 2000, Retrieval of snow water equivalent using passive microwave brightness temperature data, Remote Sensing of Environment, 74(2), P. 275-286.
  81. Biftu, G. F., and T.Y. Gan, 2000, Assessment of evapotranspiration models applied to a watershed of Canadian Prairies with mixed land-uses, Hydrologic Processes, 14, 1305-1325.
  82. Gan, T. Y., 2000, Reducing vulnerability of water resources of Canadian Prairies to potential droughts and possible climatic warming, Wat. Resou. Management, 14(2), p. 111-135, Kluwer Academic Publishers.
  83. Gan, T.Y., K. Ohgushi, and H. Araki, 2000, Estimating water quality of the Ariake sea in Japan using Landsat-TM data. - evaluation of SDD and SST, International J. Lowland Technology, Vol. 2, No. 1, p. 47-64, IALT.
  84. Biftu, G. F., and T.Y. Gan, 1999, retrieving soil moisture from Radarsat SAR data, Water Resources Research, 35(5), p. 1569-1579, American Geophysical Union.
  85. Gan, T. Y., Z. Ahmad, and R. Harboe., 1998, Hydrologic impacts of climatic change on drainage basins in Thailand and in Swaziland, J. of World Resources Review, Vol. 9 (4), p. 521 - 540.
  86. Gan, T.Y., 1998, Hydroclimatic trends and possible climatic warming in the Canadian Prairies, 34(11), p.3009-3015, Water Resources Research, American Geophysical Union.
  87. Wang, Q., and Gan, T.Y., 1998, Biases of estimated correlation dimensions of streamflow data, Water Resources Research, 34(9), 2329-2339, American Geophysical Union.
  88. Gan, T.Y., Dlamini, E.M., Biftu, G. F., 1997, Hydrologic modeling of dry catchments - model complexity and model structure, calibration data, and objective functions, J. of Hydrology, 192, 81-103, Elsevier Sc.
  89. Gan, T.Y., 1996, International postgraduate program of water resources engineering in Asia, J. of Professional Issues in Engineering Education and Practice, ASCE, 122, No. 1, p. 6-11.
  90. Gan, T.Y., and Biftu, G. F., 1996, Automatic calibration of conceptual rainfall-runoff models: optimization algorithms, catchment conditions, and model structure, Water Resources Res., Dec. 32(12), 3513-3524.
  91. Gan, T.Y., 1996, Passive microwave snow research at the Canadian High Arctic, Can. J. of Rem. Sen., 22(1), 36-44
  92. Gan, T.Y., 1995, Trends in air temperature and precipitation for Canada and Northeastern United States, International Journal of Climatology, RMS, Vol. 15, p. 1115-1134.
  93. Gan, T.Y., 1995, A time series model for estimating the weekly winter maximum temperature of Northwest Territories, J. of Applied Meteorology, AMS, 34, No.4, 847-860.
  94. Kwong, Y.T. John, and T.Y. Gan, 1994, Northward migration of permafrost along the Mackenzie Highway and climatic warming, Climatic Change, 26:399-419.
  95. Gan, T.Y. and Z. Ahmad, 1992, Modeling monsoon-affected rainfall of Pakistan by point processes, J. Water Resources Planning & Management, American Society of Civil Engineers, 118(6), 671-688.
  96. Gan, T.Y. and G. Friesen, 1991, The effectiveness of composite lining systems in controlling leakage of leachate from sanitary landfills to groundwater, J. Environmental Monitoring and Assessment, 19, 193-202.
  97. Gan, T.Y. & S.J. Burges, 1990, An assessment of a conceptual rainfall-runoff model's ability to represent the dynamics of small hypothetical catchments:1 Model, model properties, & design, Wat. Re. Res., 26(7), 1595-1604.
  98. Gan, T.Y. & S.J. Burges, 1990, An assessment of a conceptual rainfall-runoff model's ability to represent dynamics of small hypothetical catchment:2 Hydrologic responses for extreme rainfall, Wat. Re. Res.,26(7), 1605-1619.
  99. Lettenmaier, D.P., and T.Y. Gan, 1990, Hydrologic sensitivities of the Sacramento-San Joaquin River Basin to global warming, Water Resour. Res., AGU, 26(1),69-86, 26(1), doi:10.1029/WR026i001p00069.

Conference Proceedings Papers

About 70 conference proceeding papers published in proceedings of various international conferences.

Scholastic Contributions


Climate Change Research
Dr. Gan has conducted hydrologic impacts of climatic change to river basins of USA, Canada, Africa, and Germany, and uncertainties associated with climate change projections to river basins. One of his climate change papers, Lettenmaier & Gan (1990), on the climate change effect on watersheds of California, has been cited over 400 times. On the basis of climate change scenarios of IPCC dynamically downscaled by a regional climate model, Dr. Gan demonstrated that current intensity-duration-frequency (IDF) curves of Edmonton are obsolete because under climate change impact, intensive storms may occur more frequently and severely. He updated IDF curves of Edmonton so that the design of its future urban drainage infrastructure will not be under designed. He showed that under climate change impact, the multifractal strength of streamflows of Fraser River Basin of Canada would increase with temperature as the snow fed character of the basin weakened, but in the colder Athabasca River Basin of Alberta, a decrease in multifractal strength resulted under rising temperatures because of declined snow packs. For Africa, Dr. Gan found that in the 21st Century, drought prone regions of Africa will become increasingly more prone to the impact of droughts given the daily maximum temperature could increase up to 8oC (based on climate projections of CMIP5), precipitation could decrease, which coincide with projected increase in warm spell duration and consecutive dry days in southern and parts of northern Africa. Dr. Gan recommended drought prone regions of Africa to consider implementing various effective adaptive measures to mitigate the possible future impact of climate change.

Remote Sensing research
Dr. Gan developed various innovative retrieval algorithms to derive useful hydroclimatic information from RS data. For example, he proposed innovative algorithms/procedures to: (1) model the gross primary production of forests in USA from Global Vegetation Moisture Index and near-infrared albedo; (2) develop vegetation-climate relationships of a mixed wood forest of Canada from vegetation indices; (3) identify the migration pattern, the erosion and accretion processes of the Jamuna River of Ganges Bhamaputra from Landsat-TM data; (4) map the 2006 flooding of Danube River using Synthetic Aperture data of ERS; (5) estimate precipitation from a combination of infrared and microwave data; (6) merge WSR-88D radar rainfall data with rain gauge data by the wavelet technique; (7) retrieve snow water equivalent from a combination of passive microwave SSM/I, climate and landuse data; (8) map near surface soil moisture from Radarsat SAR data; and (9) derive the turbidity of the Ariake Sea of Japan with Landsat-TM data.

Hydroclimatology, Modeling and Water Resources Management Research
Dr. Gan has demonstrated/developed: (1) Statistical ensemble streamflow prediction systems for the Canadian Prairies at seasonal time scale; (2) Role of Pacific climate on the low frequency hydroclimatic variability and predictability in southern Alberta; (3) Combined climate-hydrologic systems that successfully predicted weekly streamflow at one-season lead time at Kafue basin of Africa, and river basins of Taiwan by predicting seasonal precipitation with a teleconnection model using sea surface temperature as the predictor, and disaggregated the predicted seasonal precipitation as input data to a basin scale hydrologic model; (4) Various aspects of hydrologic modelling such as lumped versus distributed approaches; issues on the automatic calibrations, data requirements, model structure, and parameter identifiability, and soil-based parameters of major conceptual models; (5) developed a semi-distributed hydrologic model (DPHMRS), which maximizes the use of remotely sensed data; (6) Modified a LSS called ISBA (known as MISBA) to incorporate northern environmental features for the Canadian GEWEX site, Athabasca River Basin, and forced MISBA with ERA-40 re-analysis data of ECMWF and the Canadian GEM archive data, and successfully simulated the energy and water fluxes of ARB; (7) Innovative applications of wavelet analysis, EOF, and Independent Component Analysis to identify the dominant oscillation, regionalization and variability of climatic time series of Africa and Canada, and the results were used for the teleconnection and predictability of regional precipitation regimes of East, central and south Africa; and (8) Management of water resources in semi-arid regions.

Cryosphere and Snow Hydrology
Dr. Gan and. R. Barry of U of Colorado-Boulder have published the book “Global Cryosphere, Past, Present and Future” by the Cambridge University Press, that for the first time address all components of the Earth’s cryosphere - all forms of snow and ice, both terrestrial and marine. It provides a concise, comprehensive summary of cryospheric processes for courses at upper undergraduate and graduate level in environmental science, geography, geology, glaciology, hydrology, water resource engineering, and ocean sciences. The book provides a superb summary of cryospheric processes for researchers from a range of sciences.