2024
Assessing the Impacts of Falling Ice Radiative Effects on the Seasonal Variation of Land Surface Properties Journal Article
In: Journal of Geophysical Research: Atmosphere, vol. 129, iss. 15, pp. e2024JD040991, 2024.
Hydro-modeling the ecosystem impact of wastewater reuse under climate change: A case study in upper Red River basin, Oklahoma Journal Article
In: Journal of the American Water Resources Association, vol. 0, iss. 0, pp. 1-14, 2024.
2023
Introducing Flashiness-Intensity-Duration-Frequency (F-IDF): A New Metric to Quantify Flash Flood Intensity Journal Article
In: Geophysical Research Letters, vol. 50, iss. 23, pp. e2023GL104992, 2023.
In: Remote Sensing, vol. 15, iss. 23, pp. 5622, 2023.
CONUS-wide model calibration and validation for CRESTv3.0 - an improved Coupled Routing and Excess STorage distributed hydrological model Journal Article
In: Journal of Hydrology, 2023.
Future Heavy rainfall and flood risks for Native America under climate and demographic changes: A case study in Oklahoma Journal Article
In: Weather, Climate, and Society, 2023.
Studying Brown Ocean Re-Intensification of Hurricane Florence Using CYGNSS and SMAP Soil Moisture Data and a Numerical Weather Model Journal Article
In: Geophysical Research Letters, vol. 50, iss. 19, pp. e2023GL105102, 2023.
A decadal review of the CREST model family: Developments, applications, and outlook Journal Article
In: Journal of Hydrology X, vol. 100159, 2023.
In: Frontiers in Environmental Science, vol. 11, 2023.
Rapid Flood Inundation Forecast Using Fourier Neural Operator Conference
physics.flu-dyn arXiv, 2023.
In: Remote Sensing, vol. 15, iss. 13, 2023.
In: Remote Sensing of Environment, vol. 288, pp. 113490, 2023.
Joint collaboration on comparing NOAA’s ground-based weather radar and NASA-JAXA’s spaceborne radar Journal Article
In: Bulletin of the American Meteorological Society, 2023.
2022
Triple Collocation of Ground-, Satellite-and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma—Part I: Individual Product Assessment Journal Article
In: Remote Sensing, vol. 14, iss. 22, pp. 5641, 2022.
In: Atmosphere, vol. 13, iss. 10, pp. 1666, 2022, (A comparison of precipitation products from satellite observation, WRF simulation, and insitu gauges over Andes ).
Disentangling error structures of precipitation datasets using decision trees Journal Article
In: Remote Sensing of Environment, vol. 280, pp. 113185, 2022, (Interpret decision tree structures to infer spatiotemporal errors on satellite precipitation products.).
Spatiotemporal characteristics of US floods: Current status and forecast under a future warmer climate Journal Article
In: Earth's Future, vol. 10, pp. e2022EF002700, 2022, (Quantify extreme rainfall and flood seasonality identifying more frequent, widespread, yet less seasonal rainfall and flood events in the future).
In: Environmental Modelling and Software, vol. 155, pp. 105450, 2022, (Answered the scientific question of whether re-infiltration process in Hydrology is important and can be ignored in flood inundation mapping during extreme events).
A flood predictability study for Hurricane Harvey with the CREST-iMAP model using high-resolution quantitative precipitation forecasts and U-Net deep learning precipitation nowcasts Journal Article
In: Journal of Hydrology, vol. 612, pp. 128168, 2022, (Comparing different QPFs and their impact on flood inundation).
CREST-VEC: A framework towards more accurate and realistic flood simulation across scales Journal Article
In: Geoscientific Model Development, vol. 15, pp. 6181-6196, 2022, (Developed an efficient and accurate flood forecast framework that can operate globally in real time).
The conterminous United States are projected to become more prone to flash floods in a high-end emissions scenario Journal Article
In: Communications Earth and Environment, vol. 3, iss. 1, pp. 1-9, 2022, (First study to quantify flash flood potential in the US in a warmer climate).
In: Zhang, Ke; Hong, Yang; AghaKouchak, Amir (Ed.): Remote Sensing of Water-related Hazards, Chapter 5, pp. 87-104, American Geophysical Union, 2022.
Evaluation of GPM IMERG and its constellations in extreme events over the conterminous United States Journal Article
In: Journal of Hydrology, vol. 606, pp. 127357, 2022, (Continental-scale evaluation of satellite precipitation utilities during extreme rainfall events).
2021
In: Remote Sensing of Environment, vol. 267, pp. 112725, 2021, (A Global study of investigating spatiotemporal hydrologic processes using modern satellite products).
In: Journal of Hydrology, vol. 600, pp. 126522, 2021, (One of the first use of hydrological models to interpret stream intermittency).
Monitoring Drought through the Lens of Landsat: Drying of Rivers during the California Droughts Journal Article
In: vol. 13, iss. 17, pp. 3423, 2021, (The use of remote sensing optical sensors to detect river intermittency).
A multi-source 120-year US flood database with a unified common format and public access Bachelor Thesis
2021, (The longest flood data sets in the US by multi-source collections).
CREST-iMAP v1. 0: A fully coupled hydrologic-hydraulic modeling framework dedicated to flood inundation mapping and prediction Journal Article
In: Environmental Modelling and Software, vol. 141, pp. 105051, 2021, (Developed a coupled system that integrates hydrologic process and hydraulic routing for flood prediction).
CREST/EF5 capacity building to enhance resilience to hydrodynamic disasters in emerging regions Journal Article
In: African Journal of Environmental Science and Technology, vol. 15, iss. 6, pp. 230-242, 2021, (Capacity building project to use hydrologic models/tools to protect African local residents).
Two-decades of GPM IMERG early and final run products intercomparison: Similarity and difference in climatology, rates, and extremes. Journal Article
In: Journal of Hydrology, vol. 594, pp. 125975, 2021, (Global evaluation of satellite precipitation product utilities and its applicability in real time weather forecast).
2020
Ground Validation and Error Sources Identification for GPM IMERG Product over the Southeast Coastal Regions of China Journal Article
In: Remote Sensing, vol. 12, iss. 24, pp. 4154, 2020, (Satellite precipitation products error identification in coastal regions).
Advancing Satellite Precipitation Retrievals with Data Driven Approaches: Is black box model explainable? Journal Article
In: Earth and Space Science, vol. 8, pp. e2020EA001423, 2020, (One of the first machine learning interpretation used in satellite precipitation retrievals).
In: Remote Sensing, vol. 12, iss. 8, pp. 1258, 2020, (Investigate the uncertainties of precipitation products derived from three sources: satellite, weather radar, and in-situ gauges).