Kian Abbasnezhadi, PhD, PEng
Physical Scientist - Research
Canadian Centre for Environmental and Meteorological Prediction (CCMEP)
Environment and Climate Change Canada (ECCC)
Dorval, QC
در شیراز دیده به جهان گشودم. کودکی را در شیراز و خرده زمانی هم در اصپهان و تبریز گذرانیدم. برای کسب معارف عالیه ره خاقان پارس گرفتم. هوای کسب دانش مرا بر آن داشت تا دیار پارس را ترک نموده و چند سالی در خاقان خاور دور به تحصیل بپردازم. پس از چند صباحی، زندگی در آن دیار بر من دشوار نمود. شبانه دستار و دراعه درپوشیدم و آهنگ مغرب زمین کردم تا علم و ادب به شیوه فیلوسوفان بیاموزم. از آنچه بر من در آن دیار رفت خبری در دست نیست، مگر آنچه در زیر آمده است. کلام پرطمطراق کوتاه که آراستگی بیش از حد فزون کند! «پارسی سان» را در برج میزان سنه‌ی ۱۳۸۲ جلالی بنیان نمودم، باشد که ما را پیوسته در سیر آفاق و انفس راه نما باشد. خرد را بال و پر دادیم و هر گونه نوشتیم در فصاحت و بلاغت و حکمت عملی و آداب زندگی و زبان مادری. چندی دگر، «شبکه هوا و فضا» را نیز بنا نهاده و آنرا به درجه‌ای از کمال ارتقا دادیم، باشد که عالمیان را در راه رسیدن به کیوان و هرمز، بهرام و تیر و ناهید و سپهر دستگیر باشد.
دی به دین روز از برج شهرور سنه‌ی یک هراز و سیصد و نود و چهار

I am a Physical Scientist in Research in the Canadian Centre for Environmental and Meteorological Prediction at Environment and Climate Change Canada (ECCC). At CCMEP, I am mainly in charge of developing the operational suites for the Canadian Precipitation Analysis (CaPA) systems, including RDPA, HRDPA, and HREPA systems. Formerly, between June 2020 and May 2023, I was a Research Scientist in the ECCC’s Science and Technology Branch where I was based at the Climate Data and Analysis section. In my former role, I pursued a study focused on the development of spatial modelling and data fusion platforms for application in trend analysis of climate data. Since September 2020, I have been also an Adjunct Professor in Centre Eau Terre Environnement (ETE) at Institut National de la Recherche Scientifique (INRS) in Québec, QC. As an Adjunct, I contribute to a project aimed at improving daily streamflow forecasting systems in data-scarce regions through Transfer Learning. At INRS-ETE, I was a postdoctoral fellow between January 2019 and June 2020, during which I was involved in various projects under different roles. In my last role there, I was involved in a flood inundation mapping project, lead by the MRC de Vaudreuil-Soulange, QC as our client. This position came after a research associate position in Northern Climate ExChange at YukonU Research Centre, Yukon University, where I investigated the required meteorological network density in major watersheds in the Yukon. Prior to that, as an associate for Hatch Ltd as our client, I made a thorough investigation of probable maximum precipitation and snow accumulation projections under future climate scenarios in Newfoundland. Before moving to Québec, I had a sessional lecturer appointment at the University of Manitoba (UofM) in Winnipeg, MB in 2018, where I taught Civil Engineering Systems (with topics on Operations Research) at the undergraduate level. Going further back, I did a postdoctoral internship at Manitoba Hydro through a Mitacs grant from June 2017 to January 2018. At MB Hydro, I developed automated multi-criteria parallel processing optimization and calibration systems for hydrological modelling of the Nelson-Churchill watershed. I obtained my doctoral degree from the UofM, where I studied the impact of meteorological network density in data-scarce watersheds on assimilated precipitation products for application in hydrological modelling. During my program at UofM, my subjects of research were assimilation systems, stochastic weather generators, and spatial modelling platforms. I am a registered professional engineer with PEO.
 
 <| EXPERIENCE   
Physical Scientist - R&D (08/2023 – Present)
Canadian Centre for Environmental and Meteorological Prediction, Environment and Climate Change Canada, Toronto, ON 
- Canadian Precipitation Analysis systems Developer

Research Scientist (06/2020 – 05/2023)
Climate Research Division, Environment and Climate Change Canada, Toronto, ON 
- Spatial modelling of precipitation for trend analysis in Canada
https://doi.org/10.5194/egusphere-egu21-6501
 
Adjunct Professor (09/2020 – Present)
Centre Eau Terre et Environnement, Institut National de la Recherche Scientifique, Québec, QC
− Snowpack stratification and simulated snow water equivalent in a physically-based snow models
- Improving daily streamflow forecasting systems in data-scarce regions with a long short-term memory model

Postdoctoral Fellow (01/2019 – 06/2020)
Centre Eau Terre et Environnement, Institut National de la Recherche Scientifique, Québec, QC
- Modélisation hydrodynamique et cartographie des zones d'inondation pour la MRC de Vaudreuil-Soulanges
Hatch Ltd, Winnipeg, MB
- Extreme precipitation projections under changing climate for Newfoundland (Client: Hatch Ltd)
 
Research Associate in Hydrology (05/2019 – 12/2019)
YukonU Research Centre, Yukon University, Whitehorse, YT
− Precipitation observation network analysis for major watersheds in Yukon
− Hydrologic data-assimilation for short-range flow and inflow forecasting in sparsely-gauged basins
 
Sessional Lecturer (01 – 04/2018)
Department of Civil Engineering, University of Manitoba, Winnipeg, MB
- Civil Engineering Systems

Postdoctoral Intern (05/2017 – 01/2018)
Hydrologic and Hydroclimatic Studies, Water Resources Department, Manitoba Hydro, Winnipeg, MB
 
Engineering Intern (07/2003 – 03/2006)
Office of Management of Development Plans, Shiraz University, Shiraz, Iran

 <| EDUCATION      
Doctor of Philosophy (2017)
 
Master of Engineering (2010)
Water Resources Engineering, Universiti Putra Malaysia, Kuala Lumpur, Malaysia
- Detection of streamflow regime variations resulting from land use transformation

 <| CONTRIBUTIONS  
  • Peer-reviewed Articles
  1. Khoshkalam, Y., Rousseau, A. N., Rahmani, F., Shen, C., and K., Abbasnezhadi, 2023. “Applying transfer learning techniques to enhance the accuracy of streamflow prediction produced by Long Short-term Memory networks with data integration” Journal of Hydrology, 622: 129682. https://doi.org/10.1016/j.jhydrol.2023.129682
  2. Abbasnezhadi, K., Rousseau, A. N., Foulon, É., and S., Savary, 2021. “Verification of Regional Deterministic Precipitation Analysis products using snow data assimilation for application in meteorological network assessment in sparsely gauged Nordic basins.” AMS Journal of Hydrometeorology, 22 (4): 859-876. https://doi.org/10.1175/JHM-D-20-0106.1
  3. Augas, J., Abbasnezhadi, K., Rousseau, A. N., and M., Baraer, 2020. “What is the trade-off between snowpack stratification and simulated snow water equivalent in a physically-based snow model?” Water, 12 (12): 3449. https://doi.org/10.3390/w12123449
  4. Abbasnezhadi, K., Rousseau, A. N., and S., Bohrn, 2020. “Mid-21st century anthropogenic changes in extreme precipitation and snowpack projections over Newfoundland.” Canadian Water Resources Journal, 45 (3): 216-236. https://doi.org/10.1080/07011784.2020.1760140
  5. Abbasnezhadi, K., Rousseau, A. N., Koenig, K. A., Zahmatkesh, Z., and A. M., Wruth, 2019. “Hydrological assessment of meteorological network density through data assimilation simulation.” Journal of Hydrology, 569: 844-858. https://doi.org/10.1016/j.jhydrol.2018.12.027
  6. Abbasnezhadi, K., Rousseau, A. N., Wruth, A. M., and Z., Zahmatkesh, 2019. “Synchronized generation of high-resolution gridded precipitation and temperature fields.” Journal of Hydrology, 573: 631-647. https://doi.org/10.1016/j.jhydrol.2019.03.096
  7. Samuel, J., Rousseau, A. N., Abbasnezhadi, K., and S., Savary, 2019. “Development and evaluation of a hydrologic data-assimilation scheme for short-range flow and inflow forecasts in a data-sparse high-latitude region using a distributed model and ensemble Kalman filtering.” Advances in Water Resources, 130: 198-220. https://doi.org/10.1016/j.advwatres.2019.06.004
  8. Abbasnezhadi, K., and F., Shafiebabaei, 2005. “A review of the World Trade Center twin towers structural failure.” Fars Civil Engineering Organization’s Journal of Gozaresh, 14 (45): 31-39. https://www.magiran.com/paper/281004
  •  Talks & Posters
  1. Khoshkalam, Y., Rahmani, F., Rousseau, A. N., Abbasnezhadi K., Shen C., and E., Foulon. 2022. “Assessment of Transfer Learning Techniques to Improve Streamflow Predictions in Data-Sparse Regions” European Geophysical Union General Assembly, Talk (online), May 23-27, 2022: Vienna, Austria. https://doi.org/10.5194/egusphere-egu22-3281
  2. Khoshkalam, Y., Rousseau, A. N., Shen C., Rahmani, F., and K., Abbasnezhadi. 2021. “Improving Daily Streamflow Forecasting Systems in Data-scarce Regions with A Long Short-term Memory Model” American Geophysical Union Fall Meeting, Talk (online), December 13-17, 2021: New Orleans, LA. https://ui.adsabs.harvard.edu/abs/2021AGUFM.H23A..01K/abstract
  3. Abbasnezhadi, K., and X. L., Wang. 2021. “Comparison of gridding methods for monthly precipitation for trend analysis in Canada” European Geosciences Union General Assembly, Online, April 19-30, 2021: EGU21-6501. https://doi.org/10.5194/egusphere-egu21-6501
  4. Abbasnezhadi, K., and A. N., Rousseau. 2020. “Can assimilating snow monitoring information offset the adverse effects of precipitation data scarcity in hydrological modelling applications?” European Geosciences Union General Assembly, Online, May 4-8, 2020: EGU2020-11428. https://doi.org/10.5194/egusphere-egu2020-11428
  5. Foulon, É., Rousseau, A. N., Scarpari Spolidorio, E. J., and K., Abbasnezhadi. 2020. “High resolution data for semi-distributed hydrological modeling: where should we draw the line?” European Geosciences Union General Assembly, Online, May 4-8, 2020: EGU2020-12045. https://doi.org/10.5194/egusphere-egu2020-12045
  6. Abbasnezhadi, K., Rousseau, A. N., Bohrn, S., and G., Gobeil. 2019. “How do climate extremes driving probable maximum flood over Newfoundland alter in the wake of global warming?” XXVII IUGG General Assembly, Poster# H24p-059, July 8-18: Montreal, QC. 
  7. Abbasnezhadi, K., and T. A., Stadnyk. 2018. “Operational hydrological forecasting in the Nelson-Churchill watershed using gridded climate data.” Canadian Water Resources Association Conference, Talk, May 28-June 1: Victoria, BC.
  8. Abbasnezhadi, K., Rasmussen, P. F., Stadnyk, T. A., and A., Boluwade. 2016. “An Observing System Simulation Experiment based approach to network assessment.” American Geophysical Union Fall Meeting, Talk, December 12-16: San Francisco, CA. https://ui.adsabs.harvard.edu/#abs/2016AGUFM.H12D..08A/abstract
  9. Rasmussen, P. F., and K., Abbasnezhadi. 2014. “Stochastic simulation of high-resolution daily precipitation using Gaussian Markov Random Fields.” Geophysical Research Abstracts, 16: EGU2014-4698. European Geosciences Union General Assembly, Talk, April 27-May 2: Vienna, Austria. https://doi.org/10.13140/RG.2.2.24257.30562
  10. Abbasnezhadi, K., Rasmussen, P. F., and T. A., Stadnyk. 2014. “Improving the Canadian Precipitation Analysis estimates through an Observing System Simulation Experiment.” American Geophysical Union Fall Meeting, Poster# H53G-0944, December 15-19: San Francisco, CA. https://ui.adsabs.harvard.edu/#abs/2014AGUFM.H53G0944A/abstract
  11. Abbasnezhadi, K., Rasmussen, P. F., Fortin, V., and K. A., Koenig. 2013. “Assessing the value of climate data in the Canadian Precipitation Analysis (CaPA) system.” CMOS/CGU/CWRA Joint Congress, Talk, May 27-30: Saskatoon, SK.
  12. Abbasnezhadi, K. 2012. “Parallel interaction of the hydrologic regime and the spatiotemporal land use patterns.” CWRA/CGU Joint Conference, Talk, June 5-8: Banff, AB.
  13. Abbasnezhadi, K., and A., Momenzadeh. 2007. “Modeling of salt migration in stabilized pavement materials.”, 13th National Civil Engineering Student Conference, poster, March 12-16: Shahid Bahonar University, Kerman, Iran. https://civilica.com/doc/15227/
  • Technical Reports & Research Summaries (Non-Peer-reviewed)
  1. Abbasnezhadi, K., and A. N. Rousseau. 2020. “Verification of Regional Deterministic Precipitation Analysis products using snow data assimilation.” Technical Report, INRS-ETE, R1928, Québec, QC.
  2. Abbasnezhadi, K., and A. N. Rousseau. 2019. “Bay d’Espoir hydroelectric development: Probable Maximum Flood sensitivity to climate change.” Technical Report, INRS-ETE, R1841, Québec, QC.
  3. Abbasnezhadi, K. 2018. “Operational hydrological forecasting in the Nelson-Churchill watershed using gridded climate data.” Technical Report, Hydrologic and Hydroclimatic Studies, Water Resources Department, Manitoba Hydro, Winnipeg, MB.
  4. Abbasnezhadi, K. 2012. “Saltwater intrusion into the Canadian coastal aquifers.” Research Summary, Department of Geography, University of Saskatchewan, Saskatoon, SK.
  5. Abbasnezhadi, K. 2011. “The functionality of climate data availability and management on the promotion of climate change adaptation policy and planning.” Research Summary, Natural Recourses Institute, University of Manitoba, Winnipeg, MB.
  6. Abbasnezhadi, K. 2008. “Removal of nematodes contained in raw water.” Research Summary, Department of Civil Engineering. University Putra Malaysia, Serdang, Malaysia.
 <| VOLUNTEER EXPERIENCE    
Peer Reviewer
- Elsevier Journal of Advances in Water Resources (06/2019 – Present)
- MDPI Water journal (03/2020 – Present)
- Elsevier Journal of Hydrology: Regional Studies (06/2021 – Present)
- ASCE Journal of Hydrologic Engineering (11/2019 – Present)
- Springer Nature journal of Meteorology and Atmospheric Physics (09/2021 – Present)
 
President (09/2016 – 05/2017)
Civil Engineering Graduate Students Association (CEGSA), University of Manitoba, Winnipeg, MB
 
Secretary (09/2013 – 04/2014)
Canadian Water Resources Association - Students and Young Professionals (CWRA-SYP), Winnipeg, MB
 
Mentor (09/2013 – 04/2015)
International Centre for Students (ICS), University of Manitoba, Winnipeg, MB
 
 <| LICENCES & CERTIFICATIONS     
Professional Engineer (PEng), Professional Engineers Ontario


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