Welcome to the Hydro-climatology Laboratory (HCL) website at the Washington State University. Our research primarily focuses on improving fundamental understanding and prediction of water resources and its interactions with climate and human system through development and refinement of coupled numerical and data-driven models, improved model parameterization and uncertainty quantifications, integrated modeling of the interactions among different components of the water cycle, risk and uncertainty analyses in hydrologic design, and statistical analysis of extreme hydro-climatology events including heavy storms, floods, and droughts.
Our current projects lie within the broad area of stochastic hydrology and hydro-climatology, and specifically include developing and applying:
- Complementary modeling frameworks to integrate hydrologic models with data-driven models in order to effectively utilize multiple data sources to reduce prediction bias and uncertainty provide information for model diagnosis and adaptive data sampling.
- Novel inverse modeling algorithms to calibrate hydrologic models when there is a high level of uncertainty in model input or forcing data.
- Dynamic Bayesian model integration methods to address models structural uncertainty by coupling groundwater and surface water models using adaptive weights that vary based on the dominant hydrologic processes at any given time or location.
- Inverse modeling and uncertainty quantification and propagation methods that can be applied for earth system modeling and integrated modeling assessment.
- Multivariate statistical approaches to characterize and predict the spatial and temporal patterns of extreme hydroclimatic events, such as flood and drought.
- Statistical and modeling approaches to characterize and account the non-stationarity nature of climate and extreme precipitation into our hydrologic models, engineering designs and resources management.
- Exploratory data and modeling analysis to determine the roles of climate and human activities on flood and drought frequency analysis.
- Integrated watershed, climate, and economic modeling to characterize the dynamic interactions among water, energy production, land use, and climate change.
- Life cycle analysis of biofuel to study the water footprints of different feedstock used for biofuel
Interested in joining us? Click here for more information.
Yonas Demissie, PhD
Email Dr. Demissie
We have launch our new website (May 15, 2018)
Congratulations to Joseph Morad for graduating with M.S. degree this past Spring Semester! We wish him well in his future pursuits! (May 5, 2018)
We have presented our work on linked runoff and rainfall IDF curve to SERDP in Arlington, VA (Feb 6, 2018)
Rakib Ahmed Siddique Joined our HCL in Spring 2018 Semester. Welcome Rakib! (Jan 5, 2018)
We have presented our work, chaired oral and poster sessions on extreme storm and flood risk at AGU Fall 2017 Meeting in New Orleans, LA (Dec 11-15, 2017)
We have presented our work in extreme storm and flood risk at military installations at SERDP Symposium in Washington, DC (Nov 28, 2017)
Kenny Nyirenda (a Fullbright Fellow) joined our HCL in Fall 2017 Semester. Welcome Kenny! (Aug 15, 2017)
We have presented our work on the vulnerability of stormwater and Bayesian approach for storm frequency analysis at EWRI Meeting in Sacramento, CA (May 21–25, 2017)
African roots inspire professor’s varied water research (Feb 22, 2017)