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Related Experiment Video

Updated: Jul 18, 2026

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Reservoir Condition Pore-scale Imaging of Multiple Fluid Phases Using X-ray Microtomography

Published on: February 25, 2015

High-Resolution Water Vapor Mapping from Interferometric Radar Measurements.

Hanssen¹, Weckwerth, Zebker

¹Delft Institute for Earth-Oriented Space Research, Delft University of Technology, Thijsseweg 11, 2629 JA Delft, The Netherlands. National Center for Atmospheric Research, Boulder, CO 80307-3000, USA. Departments of Geophysics and Electrical Engineering, Stanford University, Stanford, CA 94305, USA.

Science (New York, N.Y.)

|February 26, 1999

Summary

Spaceborne radar interferometry provides high-resolution maps of atmospheric water vapor, offering new quantitative insights into weather phenomena like clouds and cold fronts. These advanced radar observations can improve weather forecasting and the study of atmospheric dynamics.

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Area of Science:

Atmospheric Science
Meteorology
Remote Sensing

Background:

Integrated atmospheric water vapor is crucial for understanding meteorological phenomena.
Conventional methods have limitations in providing high-resolution water vapor distribution data.

Purpose of the Study:

To infer high-resolution maps of integrated atmospheric water vapor using spaceborne radar interferometry.
To demonstrate the utility of these maps in analyzing meteorological phenomena.

Main Methods:

Utilized spaceborne radar interferometric delay measurements.
Generated high-resolution maps of atmospheric water vapor distribution.

Main Results:

Successfully mapped water vapor associated with a precipitating cloud, a partly precipitating cold front, and horizontal convective rolls.
Obtained quantitative measures of water vapor distribution not achievable with conventional methods.

Conclusions:

Spaceborne radar interferometry offers a novel approach for detailed atmospheric water vapor mapping.
These observations have significant potential for improving weather forecasting and studying atmospheric dynamics.