An assessment of detecting mesoscale rainfall from mid-latitude cyclones using GOES imagery data

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088 ⊔ ⊔ ‡aADA 104377
088 ⊔ ⊔ ‡aAFGL TR 81-89
100 1 ⊔ ‡aFournier, Ronald F.
245 1 3 ‡aAn assessment of detecting mesoscale rainfall from mid-latitude cyclones using GOES imagery data / ‡cRonald F. Fournier.
264 ⊔ 1 ‡aHanscom AFB, Massachusetts : ‡bAir Force Geophysics Laboratories, Air Force Systems Command, United States Air Force, ‡c1981.
300 ⊔ ⊔ ‡a40 pages : ‡billustrations ; ‡c28 cm.
336 ⊔ ⊔ ‡atext ‡btxt ‡2rdacontent
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490 0 ⊔ ‡aAFGL-TR ; ‡v81-89
490 0 ⊔ ‡aEnvironmental Research Papers ; ‡vNo. 735
500 ⊔ ⊔ ‡a"Meteorology Division Project 6670."
500 ⊔ ⊔ ‡aADA104377 (from http://www.dtic.mil).
500 ⊔ ⊔ ‡a"25 March 1981."
504 ⊔ ⊔ ‡aIncludes bibliographical references (pages 39-40).
520 ⊔ ⊔ ‡aThis study examined the capability of current geostationary satellite sensors in resolving and monitoring important mesoscale rain areas. Shallow mesoscale precipitation patterns were analyzed with radar and recording rain gage data associated with mid-latitude cyclones in New England. These cyclones were characterized by relatively little stratiform cloudiness in the upper troposphere. Radar thresholding was used to determine the spatial and temporal scales of small mesoscale areas (SMSAs), large mesoscale areas (LMSAs), and major echoes. Radar rainfall estimates were used to determine the relative amount of rainfall contributed by the mesoscale features. Radar analysis of the three cases showed that the spatial scale of major echoes, LMSAs, and SMSAs were large enough for detection by GOES sensors. Major echoes and the LMSAs contained within them were found to have lifetimes that are long relative to the half-hour interval between GOES transmissions. The duration of some SMSAs and all cells, however, was on the same order as the time interval between GOES transmissions. In addition, radar rainfall estimates showed that the major echoes, LMSAs, and SMSAs were the major contributors to mesoscale rainfall. For the cases examined in this study, GOES sensors were not capable of distinguishing the individual mesoscale precipitation areas detected by radar. Therefore, GOES sensors do not appear adequate for developing satellite rainfall estimation techniques to specify shallow mesoscale precipitation.
538 ⊔ ⊔ ‡aMode of access: Internet.
650 ⊔ 0 ‡aMeteorological satellites. ‡0http://id.loc.gov/authorities/subjects/sh85084328
650 ⊔ 0 ‡aGeostationary satellites. ‡0http://id.loc.gov/authorities/subjects/sh85054259
650 ⊔ 0 ‡aImage processing. ‡0http://id.loc.gov/authorities/subjects/sh85064446
650 ⊔ 0 ‡aInfrared imaging. ‡0http://id.loc.gov/authorities/subjects/sh85066320
650 ⊔ 0 ‡aRadar meteorology. ‡0http://id.loc.gov/authorities/subjects/sh85110320
650 ⊔ 0 ‡aCyclones. ‡0http://id.loc.gov/authorities/subjects/sh85035089
650 ⊔ 0 ‡aRain and rainfall ‡xCyclones.
710 2 ⊔ ‡aU.S. Air Force Geophysics Laboratory. ‡0http://id.loc.gov/authorities/names/n79109638 ‡1http://id.loc.gov/rwo/agents/n79109638
730 0 ⊔ ‡aTechnical Report Archive & Image Library (TRAIL)
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