Cloud Water Interception

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

Thomas Giambelluca
Tom Giambelluca

Co-PI, Climate Science

UH Manoa

Han Tseng Profile Photo
Han Tseng

UH Mānoa

Data Scientists

Jason Leigh

Co-PI, Data Science Lead

UH Mānoa

Peter Sadowski

UH Mānoa

Travis Mandel

UH Hilo


Sean Cleveland profile photo
Sean Cleveland

UH System

Jennifer Geis profile photo
Jennifer Geis

UH System

Matt Lucas

UH Mānoa

Jared McLean Profile Photo
Jared McLean

UH System