Terrestrial Hydrology Research Group
Princeton University
Research
This page and the links on this page provide an overview of our current and recently completed research projects .
Estimating the Water Cycle from Space
Climate variables measured from space are important for us to understand the role of the terrestrial hydrosphere-biosphere in Earth's climate system. This theme of our research seeks to provide estimations of components of the water cycle, such as evapotranspiration, at continental to global scales.
Understanding the terresstrial water and energy budgets and their changes in high latitudes
Three of our projects deal with hydrology in the high latitudes. The unifying theme of these projects is to quantify hydrologic change and understand its drivers through the use of land surface models, remote sensing and observations.
Hydrologic Predictability
Our research on predictability and forecasting works to improve the skill of hydrologic forecasts, both through improving forecast methods and identifying the importance of land state initialization in our ability to predict future hydrologic states.Data Assimilation of Satellite-Based Observations into Land Surface Models
The overall scientific question is how in-situ and satellite data can be combined with land surface model predictions, using data assimilation techniques, to produce improved, coherent merged products that are space-time continuous over the land areas of the globe.Recently completed projects
North American Drought in the 21st Century
The central science question to be addressed by this project is: What is the susceptibility of the continental U.S. to drought over the next century, and what role is anthropogenic warming likely to play in U.S. drought susceptibility?Soil Moisture Memory and Seasonal Precipitation Predictability in the GAPP Domain
A central element of the research is to determine the predictability of warm season precipitation over the continental U.S. using a number of modeling approaches and data. The project will use statistical methods such as Empirical Orthogonal Teleconnection (EOT) analysis to search for the teleconnection patterns between soil moisture and precipitation anomalies over the continental United States.
Land Surface Modeling Studies in Support of AQUA AMSR-E Validation
We will provide modeling support to the AMSR-E validation activities through a combination of process-based hydrological modeling and the simulation of the AMSR-E measurements. A central premise of this project is that hydrological modeling can help bridge the gap between the small-scale in-situ field observations and the AMSR-E 60 km footprint, and between the short-term field experiments and continuous AMSR-E measurements.
Iceberg.
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DroughtSoil Moisture Memory
Remote Sensing of ET
AQUA AMSR
NEESPI
Data Assimilation
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Dept. Civil and Environmental Engineering
Princeton University
Princeton, NJ 08544