Publications (8)
MSWEP V3: Machine Learning-Powered Global Precipitation Estimates at 0.1 Hourly Resolution (1979-Present)
Xuetong Wang, Raied S. Alharbi, Oscar M. Baez-Villanueva +12
We introduce Version 3 (V3) of the gridded near real-time Multi-Source Weighted-Ensemble Precipitation (MSWEP) product -- the first fully global, historical machine learning powere…
An Improved YOLOv8 Approach for Small Target Detection of Rice Spikelet Flowering in Field Environments
Beizhang Chen, Jinming Liang, Zheng Xiong +5
Accurately detecting rice flowering time is crucial for timely pollination in hybrid rice seed production. This not only enhances pollination efficiency but also ensures higher yie…
Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning
Haoyu Ji, Yalan Song, Tadd Bindas +9
To track rapid changes within our water sector, Global Water Models (GWMs) need to realistically represent hydrologic systems' response patterns - such as baseflow fraction - but a…
Electron Mobility in Polarization-doped AlGaN with a Low Concentration Near 10 cm
Mingda Zhu, Meng Qi, Kazuki Nomoto +6
In this letter, carrier transport in graded AlGaN with a polarization-induced n-type doping as low as ~ 10 cm is repor…
A Physics-Informed Fourier-Wavelet Transformer for Multiscale Computational Fluid Dynamics Surrogate Modeling
Somyajit Chakraborty, Ming Pan, Xizhong Chen
Physics-informed surrogate models can accelerate computational fluid dynamics simulations. However, many existing methods reproduce global flow patterns more reliably than localize…
DRUM: Diffusion-based runoff model for probabilistic flood forecasting
Zhigang Ou, Congyi Nai, Baoxiang Pan +7
Extreme floods pose escalating risks in a changing climate, yet forecasting remains challenging due to peak flow underestimation and high uncertainty. We introduce DRUM, a diffusio…
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling
Wen-Ping Tsai, Dapeng Feng, Ming Pan +5
The behaviors and skills of models in many geosciences (e.g., hydrology and ecosystem sciences) strongly depend on spatially-varying parameters that need calibration. A well-calibr…
A Prototype Compact Accelerator-based Neutron Source (CANS) for Canada
Robert Laxdal, Dalini Maharaj, Mina Abbaslou +11
Canada's access to neutron beams for neutron scattering was significantly curtailed in 2018 with the closure of the National Research Universal (NRU) reactor in Chalk River, Ontari…