Kian Abbasnezhadi, PhD, PEng
Physical Scientist - Research
Numerical Terrestrial Environment Prediction Section
Environment and Climate Change Canada
Dorval, QC

Kian Abasnejadi

 EN 
I am a Physical Scientist in the Canadian Meteorological Centre (CMC) at Environment and Climate Change Canada (ECCC). I am based at the Numerical Terrestrial Environment Prediction Section (NTPE), where I am responsible for maintaining and 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 have been contributing 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.

 FR 
Je suis scientifique physique au Centre météorologique canadien (CMC) à Environnement et Changement climatique Canada (ECCC). Je suis basé à la Section de la prévision numérique de l'environnement terrestre (CMDET), où je suis responsable de la maintenance et du développement des suites opérationnelles du système d'analyse des précipitations canadiennes (CaPA) (déterministe : ARPD, haute résolution: AHRDP, ensemble: AHREP). Auparavant, entre juin 2020 et mai 2023, j'étais chercheur scientifique à la Direction des sciences et de la technologie d'ECCC, où j'étais basé à la section des données climatiques et de l'analyse de la Division de la recherche sur le climat. Là, j'ai mené une étude axée sur le développement de plateformes de modélisation spatiale et de fusion de données pour l'analyse des tendances des données climatiques. Avant de rejoindre ECCC, j'ai effectué une bourse au Centre Eau Terre Environnement (ETE) à l'Institut national de la recherche scientifique (INRS) entre janvier 2019 et juin 2020. Pendant ma bourse, j'ai participé à divers projets sous différents rôles. Dans mon dernier rôle là-bas, j'étais impliqué dans un projet de cartographie des inondations, dirigé par la MRC de Vaudreuil-Soulanges, QC en tant que notre client. Ce poste faisait suite à un poste d'associé de recherche à Northern Climate ExChange au Centre de recherche de YukonU, à l'Université du Yukon, où j'ai étudié la densité nécessaire du réseau météorologique dans les principaux bassins versants du Yukon. Auparavant, en tant qu'associé pour Hatch Ltd en tant que notre client, j'ai mené une enquête approfondie sur les projections de précipitations maximales probables et d'accumulation de neige sous des scénarios climatiques futurs à Terre-Neuve. Avant de rejoindre l'INRS, j'ai occupé un poste de chargé de cours à l'Université du Manitoba (UofM) en 2018, où j'ai donné des conférences sur des sujets liés aux systèmes de génie civil (recherche opérationnelle). Plus loin encore, j'ai effectué un stage postdoctoral à Manitoba Hydro grâce à une subvention Mitacs de juin 2017 à janvier 2018. À Manitoba Hydro, j'ai développé des systèmes automatisés d'optimisation et de calibration de traitement parallèle multi-critères pour la modélisation hydrologique. J'ai obtenu mon doctorat à l'UofM, où j'ai étudié l'impact de la densité du réseau météorologique dans les bassins versants peu dotés en données sur les produits de précipitations assimilées pour une application en modélisation hydrologique. Pendant mon programme à l'UofM, mes sujets de recherche étaient la conception de réseaux météorologiques, les systèmes d'assimilation, les générateurs stochastiques de conditions météorologiques et les plateformes de modélisation spatiale. Je suis ingénieur professionnel inscrit auprès de l'Ordre des ingénieurs de l'Ontario (PEO).

 فا 
.
در حال حاضر، به عنوان دانشمند علوم فیزیکی در مرکز هواشناسی وزارت محیط زیست و تغییرات اقلیمی کانادا مشغول به کار هستم. در این مرکز در بخش مدل‌سازی عددی برای پیش‌بینی پدیده‌های زمین شناختی و محیط زیستی، مسئول نگهداری و توسعه مجموعه‌های عملیاتی سیستم تحلیل بارش کانادا هستم. پیشتر، از سال ۲۰۲۰ تا ۲۰۲۳ دانشمند پژوهشی بخش علوم و فناوری وزارت محیط زیست و تغییرات اقلیمی بودم. در این بخش، در اداره تحلیل و پژوهش داده‌های اقلیمی حضور داشتم و مطالعات جامعی را برای توسعه پلتفرم‌های مدل‌سازی فضایی و همجوشی داده‌های اقلیمی جهت کاربرد در تحلیل روند داده‌های اقلیمی به سرانجام رساندم. پیش از پیوستن به وزارت محیط زیست و تغییرات اقلیمی، از سال ۲۰۱۹ تا ۲۰۲۰ دوره پژوهشی پسادکتری خود را در مرکز آب، زمین و محیط زیست در مؤسسه ملی تحقیقات علمی که از سازمان های زیرمجموعه دانشگاه کبک می باشد دنبال کردم. در طول این دوره، در پروژه‌های مختلفی با نقش‌های متفاوت شرکت داشتم. در آخرین نقش خود در مؤسسه ملی تحقیقات علمی، در یک پروژه نقشه‌برداری سیلاب مشارکت داشتم. پیش از آن، پژوهش دیگری را در پروژه تغییرات اقلیمی مناطق قطبی کانادا در مرکز پژوهشی دانشگاه یوکان به سرانجام رساندم. در این پژوهش تراکم شبکه باران‌سنجی مورد نیاز در چندین حوزه‌ آبخیز در مناطقی از یوکان را بررسی کردم. پیش از آن نیز، به عنوان مشاور برای یک شرکت مهندسی خصوصی، تحقیقات جامعی را برای پیش‌بینی‌ بیشینه میزان بارش و تجمع برف در سناریوهای اقلیمی آینده در استان نیوفاندلند انجام دادم. پیش از پیوستن به مؤسسه ملی تحقیقات علمی، در سال ۲۰۱۸ به عنوان مدرس دانشگاه منیتوبا، موضوعات مرتبط با سیستم‌های تحقیق در عملیات را تدریس می‌کردم. پیش از آن، از سال ۲۰۱۷ تا ۲۰۱۸ محقق پسادکتری شرکت دولتی برق استان منیتوبا بودم. در این موقعیت شغلی، سیستم‌های بهینه‌سازی و کالیبراسیون پردازش موازی چندمعیاره خودکار برای مدل‌سازی هیدرولوژیکی را توسعه دادم. در سال ۲۰۱۷ مدرک دکتری خود را از دانشگاه منیتوبا دریافت کردم. در رساله خود به «تأثیر تراکم شبکه باران‌سنجی در حوزه‌های آبخیز کم‌داده بر محصولات بارشی همسان‌سازی شده برای کاربرد در مدل‌سازی هیدرولوژیکی» پرداختم. در طول دوره دکتری خود، بر موضوعات پژوهشی دیگری همچون سیستم‌های همسان‌سازی، مولدهای تصادفی داده‌های آب و هوایی و پلتفرم‌های مدل‌سازی فضایی تمرکز داشتم. در حال حاضر نیز در سازمان مهندسان حرفه‌ای استان انتاریو دارای مجوز فعالیت هستم.

 <| 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)
Kian Abbasnezhad
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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All rights are owned by Kian Abbasnezhadi © 2003-2023