This project is a part of Theme 3 and is focused on refining severe flood and drought predictions through improvements in soil moisture characterization. This project will advance knowledge on rainfall-runoff processes and its further application to drought prediction, downstream impact on ecosystems and communities sensitive to changes in climate.
The objectives of this project are to improve the accuracy of soil moisture by leveraging remote sensing and on-the-ground monitoring, improve the accuracy of soil moisture models by optimising human annotation and building a hydrological model utilizing soil moisture distrubrtion to improve high-flow prediction and general water balance.
Meet the Team
Climate Scientists
Yinphan Tsang
UH Mānoa
Christopher Shuler
UH Mānoa
Data Scientists
Travis Mandel
UH Hilo
Sean Cleveland
UH System
Jason Leigh
UH Mānoa