Recent studies indicate that the GPS may lead to improved short-term weather forecasting models and physical models of cloud formation. Using a network of GPS stations, scientists working with the U.S. Department of Energy's Atmospheric Radiation Measurement (ARM) program and its partners are developing innovative ways to measure water vapor and tomographic techniques to compute three-dimensional water vapor fields. ARM's specific interest is gathering information on the formation of clouds.
The new technique depends on a network of GPS receivers, each getting signals from several GPS satellites at once. When a satellite sends a microwave signal through the atmosphere, the signal is delayed by water vapor. Measuring this delay allows scientists to estimate the integrated amount of water vapor along the signal path from the satellite, called the "slant path water vapor." Analyses provide the variability of water vapor in the space above the GPS receivers as well as the three-dimensional water vapor distribution above the network.
The ARM program and its government and university partners are involved in two related GPS measurement demonstrations. In one project, the University of Oklahoma is partnering with ARM to establish GPS stations over an area of about 55,000 square miles. The second is a collaboration between ARM and the University Corporation for Atmospheric Research to provide a more dense GPS network. If these demonstrations are successful, the projects will show that GPS networks can provide a low cost way to continuously monitor water vapor variability on scales ranging from a few kilometers to 500 kilometers.
More information is available at [website].
Contact: Wanda R. Ferrell, SC-74, 3-0043
SC-23.1 Climate and Environmental Sciences Division, BER
(formerly SC-74 Environmental Sciences Division, OBER)
BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER
May 10, 2019
Quantifying Decision Uncertainty in Water Management via a Coupled Agent-Based Model
Considering risk perception can improve the representation of human decision-making processes in age [more...]
May 09, 2019
Projecting Global Urban Area Growth Through 2100 Based on Historical Time Series Data and Future Scenarios
Study provides country-specific urban area growth models and the first dataset on country-level urba [more...]
May 05, 2019
Calibrating Building Energy Demand Models to Refine Long-Term Energy Planning
A new, flexible calibration approach improved model accuracy in capturing year-to-year changes in bu [more...]
May 03, 2019
Calibration and Uncertainty Analysis of Demeter for Better Downscaling of Global Land Use and Land Cover Projections
Researchers improved the Demeter model’s performance by calibrating key parameters and establi [more...]
Apr 22, 2019
Representation of U.S. Warm Temperature Extremes in Global Climate Model Ensembles
Representation of warm temperature events varies considerably among global climate models, which has [more...]
List all highlights (possible long download time)