This project is part of theme 3 which is focused on the ecohydrology of change. Cloud water interception (CWI), the direct interception of water droplets in fog by vegetation, has been shown to contribute 20-30% of total precipitation in Hawaiʻi. Quantifying CWI at spatial scales large enough to answer ecological and hydrological questions is a major challenge because it is highly variable in space and time, controlled by multiple factors, and difficult to measure directly. CWI remains the most important unknown term in the hydrological cycle for Hawaiʻi. The objectives of this research project are to identify how CWI is distributed over the Hawai’ian Islands in response to changing climate and vegetation and generate input data for the CWI model by first quantifying liquid water content and wind speed, and then characterizing vegetation structure to make CWI estimates.
Meet the Team
Climate Scientists
Tom Giambelluca
Co-PI, Climate Science
UH Manoa
Han Tseng
UH Mānoa
Data Scientists
Jason Leigh
Co-PI, Data Science Lead
UH Mānoa
Peter Sadowski
UH Mānoa
Travis Mandel
UH Hilo
Cyberinfrastructure
Sean Cleveland
UH System
Jennifer Geis
UH System
Matt Lucas
UH Mānoa
Jared McLean
UH System