Uniting space, ground, and underwater measurements for improved estimates of rain rate

E. Amitai*, J. A. Nystuen, L. Liao, R. Meneghini, E. Morin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

Global precipitation is monitored from a variety of platforms including spaceborne, ground-, and ocean-based platforms. Intercomparisons of these observations are crucial to validating the measurements and providing confidence for each measurement technique. Probability distribution functions of rain rates are used to compare satellite and ground-based radar observations. A preferred adjustment technique for improving rain rate distribution estimates is identified using measurements from ground-based radar and rain gauges within the coverage area of the radar. The underwater measurement of rainfall shows similarities to radar measurements, but with intermediate spatial resolution and high temporal resolution. Reconciling these different measurement techniques provides understanding and confidence for all of the methods.

Original languageEnglish
Pages (from-to)35-38
Number of pages4
JournalIEEE Geoscience and Remote Sensing Letters
Volume1
Issue number2
DOIs
StatePublished - Apr 2004

Bibliographical note

Funding Information:
Manuscript received September 11, 2003; revised January 5, 2004. This work was supported by the National Aeronautics and Space Administration through the TRMM Satellite Validation Office, Goddard Space Flight Center. E. Amitai is with the NASA Goddard Space Flight Center, Greenbelt, MD 20771 USA and also with George Mason University, Fairfax, VA 22030 USA. J. A. Nystuen is with Applied Physics Laboratory, University of Washington, Seattle, WA 98195 USA. L. Liao is with NASA Goddard Space Flight Center, Greenbelt, MD 20771 USA and also with Caelum Research Corporation, Rockville, MD 20850 USA. R. Meneghini is with the NASA Goddard Space Flight Center, Greenbelt, MD 20771 USA. E. Morin is with The Hebrew University of Jerusalem, Jerusalem, 91905 Israel. Digital Object Identifier 10.1109/LGRS.2004.824767

Keywords

  • Meteorological radar
  • Probability distribution function
  • Rain gauge
  • Rain intensity
  • Rainfall
  • Spaceborne radar
  • Tropical Rainfall Measuring Mission (TRMM)
  • Underwater acoustic
  • Validation

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