My research interests lie in the climate sciences from regional to the global scale, using multiple techniques, including ground observations, remote sensing, and earth system modeling. I am particularly interested in climate model evaluation, hydrologic cycle, flood and drought forecast, and land-atmosphere interactions with strong background in data analysis, geospatial modeling, and scientific computing.

Ph.D., Geosciences, The University of Texas at Austin

Selected Publications:

Wu, W.-Y., H.-Y. Ma, (2025), Impacts of resolution on heavy-precipitating storms in climate model hindcasts, Journal of Geophysical Research - Atmospheres (accepted)

Wu, W.-Y., H.-Y. Ma, et al., (2024), Assessment of Storm-Associated Precipitation and its Extreme using Observations and Short-range Climate Model Hindcasts, Journal of Geophysical Research - Atmospheres, 129, e2023JD039697. DOI:10.1029/2023JD039697

Galea D., H.-Y. Ma, W.-Y. Wu, D. Kobayashi (2023), Deep Learning Image Segmentation for Atmospheric Rivers. Artificial Intelligence for the Earth Systems, DOI: 10.1175/AIES-D-23-0048.1

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

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), Divergent effects of climate change on future groundwater availability in key mid-latitude aquifers. Nature Communications, 11, 3710, DOI:10.1038/s41467-020-17581-y

Lo, M. H., Wu, W. Y., Tang, L. I., Ryu, D., Rashid, M., & Wu, R. J. (2020). Temporal Changes in Land-Surface Coupling Strength: An Example in A Semi-Arid Region of Australia. Journal of Climate, 1-40, DOI: 10.1175/JCLI-D-20-0250.1

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, DOI:10.1002/2015GL064110

Full list of publication via ORCiD: https://orcid.org/0000-0002-6534-5726

LLNL AEED Stand Out Award, 2024

LLNL Research SLAM finalist, 2023

UT-Austin Graduate School Summer Fellowship, 2021

UT-Austin JSG Bullard Student Research Fund, 2021

NASA Data Visualization & Storytelling Contest- Grand Prize, 2019

UT-Austin JSG Best Teaching Assistant, 2019

Projects:

• Principal Investigator (PI) LDRD ER project:  Projecting climate impacts-an integrated framework for flood vulnerability (FY25-27)

Skills

• Technical: Python (e.g., numpy, pandas, matplotlib, xarray), R, MATLAB, GIS (ArcGIS, QGIS), Linux, Fortran, C, Shell scripting
• Data Formats: Shapefile, NetCDF, GEOTIFF, HDF5
• Tools: Statistical modeling, regression, clustering, data visualization
• Environmental Modeling: land surface models (Noah-MP, CLM), hydrological models (WRF-Hydro), river routing model (RAPID), flood mapping (HAND), climate models (CESM, E3SM), weather models (WRF)
• Soft Skills: Communication, collaboration, analytical thinking