Postdoctoral Researcher in Climate Science
Lawrence Livermore National Laboratory
wu59@llnl.gov
Research Interests
Hydrologic Cycle
Climate Variability
Land-Atmosphere Interaction
Satellite Data Analysis
Land-Surface Model Simulation
Flood and Drought Monitor
Climate resilience
Programing Skills
Python, R, Matlab, Fortran, C, Shell Script
ArcGIS, NCL, GrADS
Languages
Chinese Mandarin
English
Taiwanese
German
Ph.D., Jackson School of Geosciences
Advancing The Application of Remote Sensing to Improve Land Surface Modeling
Supervisor: Dr. Zong-Liang Yang
M.S. in Atmospheric Sciences
Analyzed land water storage and land-atmosphere interactions
Supervisor: Dr. Min-Hui Lo
B.S. in Atmospheric Sciences
Defined height of mixing layer over Taiwan with sounding data
Evaluating Climate model using storm typing
Assessing climate and hydrological impact on water resources for the city of Austin
GEO 302C Climate: Past, Pres, Future
GEO 303 Intro to Geology
Developing a framework for predicting river flows on global scales
Utilizing data assimilation in land surface model
Environmental Monitoring and Management
The Jefferson Project at Lake George
Analyzed land water storage and its impact to sea level changes
Quantified climate-driven groundwater changes
Integration of MODIS LAI into the hydrological model
Supervisor: Dr. Andreas Güntner and Dr. Martin Wattenbach
Department of Geography
Variability in Atmospheric water transport from ocean to land
Supervisor: Dr. J. S. Famiglietti
Wu, W.-Y., Z.-L. Yang (2022), Aridity-dependent Land Surface Temperature bias in CMIP models. Geophys. Res. Lett., DOI:10.1029/2022GL098952
Wu, W.-Y., Z.-L. Yang, L. Zhao, P. Lin (2022), Joint Multi-sensor Data Assimilation for Constraining Water Storages and its Impact on Global Discharge Estimation. Remote Sensing of Environment,279, 113138. DOI:10.1016/j.rse.2022.113138
Wu, W.-Y., Z.-L. Yang, M. Barlage (2021), The Impact of Noah-MP Physical Parameterizations on Modeling Water Availability during Droughts in the Texas-Gulf Region. Journal of Hydrometerology, DOI: 10.1175/JHM-D-20-0189.1
Fei W., H. Zheng, Z. Xu, W.-Y. Wu, et al. (2021). Ensemble skill gains obtained from the multi-physics versus multi-model approaches for continental-scale hydrological simulations, Water Resources Research, 57, e2020WR028846. DOI:1029/2020WR028846
Kim Y. K., W.-Y. Wu, E. Kutanoglu, Z.-L. Yang, J. Hasenbein (2021), Hurricane Scenario Generation for Uncertainty Modeling of Coastal and Inland Flooding. Frontiers in Climate, 3, 16, DOI:10.3389/fclim.2021.610680
Wu, W.-Y., M.-H. Lo, Y. Wada, J. T. Reager, J. S. Famiglietti , P. Yeh, A. Ducharne, and Z.L. Yang (2020), Contrary effects of climate change on future groundwater availability in key mid-latitude aquifers Nature Communications , 11, 3710
Lo, M., Wu, W.-Y., Tang, L. I., Ryu, D., Rashid, M., & Wu, R. (2020). Temporal Changes in Land-Surface Coupling Strength: An Example in A Semi-Arid Region of Australia, Journal of Climate, 1-40.
Zheng, H., Yang, Z.‐L., Lin, P., Wu, W.‐Y., Li, L., Xu, Z., et al. (2020). Falsification‐oriented signature‐based evaluation for guiding the development of land surface models and the enhancement of observations. Journal of Advances in Modeling Earth Systems, 12, e2020MS002132.
Zheng, Hui, Z.-L. Yang, P. Lin, J. Wei, W.-Y. Wu, L. Li, L. Zhao, S. Wang (2019), On the sensitivity of the precipitation partition into evapotranspiration and runoff in land surface parameterizations. Water Resour. Res. , 55, 95–111
Yoon, J.-H., S.-Y. Wang, M.-H. Lo, W.-Y. Wu (2018), Concurrent increases in wet and dry extremes projected in Texas and combined effects on groundwater. Environ. Res. Lett., 13
Wu, W.-Y., C.-W. Lan, M.-H. Lo, J. T. Reager, and J. S. Famiglietti (2015), Increases in the annual range of soil water storage at northern middle and high latitudes under global warming. Geophys. Res. Lett., 42, 3903–3910
Lo, M.-H., J. Famiglietti, J. T. Reager, M. Rodell, S. Swenson, and W.-Y. Wu (2016), GRACE-based Estimates of Global Groundwater Depletion, Terrestrial Water Cycle and Climate Change: Natural and Human-Induced Impacts, AGU Geophysical Monograph Series
Wu, W.-Y. et al.(2022), Cohntributions of Storm-Associated Precipitation and its Extreme using Observations, 2022 AGU Annual Meeting
Wu, W.-Y. et al. (2021), Incoporating Hurricane Forecasts into WRF-Hydro for Ensemable Generation, 2021 AGU Annual Meeting
Wu, W.-Y., Z.-L. Yang (2020), Evaluation of hydrometeorological forecast skill during Hurricane Harvey (2017), 2020 AGU Annual Meeting
Wu, W.-Y., Z.-L. Yang, L. Zhao, P. Lin (2019), What can we expect from multi-sensor data assimilation for hydrological simulation?, 2019 AGU Annual Meeting
Wu, W.-Y., Z.-L. Yang, L. Zhao, P. Lin (2018), The Role of Multi-sensor Land Data Assimilation in Runoff and Streamflow Estimation, 2018 AGU Annual Meeting
Wu, W.-Y., Z.-L. Yang, P. Lin (2018), Towards a Better Understanding of Hydrological Extremes Using an Integrated Hydrological Modeling Framework, 2018 AOGS Annual Meeting (oral talk)
Wu, W.-Y., Z.-L. Yang, P. Lin, D. Maidment (2018), Assessment of the Simulations of Global-scale River Flows from an Integrated Hydrological Modeling Framework, 2018 AMS Annual Meeting (oral talk)
Wu, W.-Y., Z.-L. Yang, P. Lin, D. Maidment (2017), Towards Developing a Framework for Predicting River Flows on Global Scales, Texas Weather Conference
Lo, M.-H., W. -Y. Wu, and D. Ryu (2015), Temporal Changes in Land-Surface Coupling Strength: an Example in a Semi-Arid Region of Australia, AGU Fall Meeting
Wu, W.-Y., M.-H. Lo, Y. Wada, J. Reager, J. S. Famiglietti , P. Yeh, and A. Ducharne (2015), Impacts of Climate Changes on the Future Groundwater Storage, AGU Fall Meeting
Wu, W.-Y., C.-W. Lan, M.-H. Lo, J. Reager, and J. Famiglietti (2014), Changes in Soil Water Storage under Global Warming in CMIP5 models, AGU Fall Meeting
Wu, W.-Y., M.-H. Lo, J. Famiglietti, J. Reager, and C. De Linage (2013), Trends and Interannual Variability in Terrestrial Water Storage and Atmospheric Water Vapor Transport from GRACE and Multiple Atmospheric Reanalysis Datasets, EGU General Assembly
Course of Seminar
Course of Introduction Survey to Atmospheric Research
Course of Earth System Model
Office of International Affairs
Office of Department of Atmospheric Sciences
National Taiwan University Wind Band