Combined space and ground radars for improving quantitative precipitation estimations in the eastern downstream region of the Tibetan Plateau. I: Variability in the vertical structure of precipitation in ChuanYu implicated from long-term space-borne observations by TRMM PR

Combined space and ground radars for improving quantitative precipitation estimations in the... AbstractThis study presents a statistical analysis of the variability of the vertical structure of precipitation in the eastern downstream region of the Tibetan Plateau (TP) as measured by the precipitation radar (PR) onboard the National Aeronautics and Space Administration (NASA)’s Tropical Rainfall Measuring Mission (TRMM) satellite. Data were analyzed over an 11 year time span (Jan. 2004–Dec. 2014). The results show the seasonal and spatial variability of the storm height, freezing level, and bright-band for different types of precipitation as well as the characteristics of intensity-related and type-related vertical profiles of reflectivity (VPRs). Major findings were as follows. Precipitation types greatly impacted the VPRs in terms of their different microphysical and dynamical processes. About 90% of the bright-band (hereafter, BB) peak reflectivity of stratiform precipitation was less than 32 dBZ, and 40% of the maximum reflectivity of convective precipitation exceeded 35 dBZ. The intensity of surface rainfall rates also depended on the shapes of VPRs. For stratiform precipitation, ice–snow aggregation was faster during moderate and heavy rainfall than that in light rainfall. Since both the moisture and temperature are lower in winter, the transform efficiency of hydrometers becomes slower. Typical Ku-band representative climatological VPRs (defined as CPRs) for stratiform precipitation have been created based on the integration of normalized VPR shape for the given area and the rainfall intensity. All the findings indicate that the developed CPRs can be used to improve surface precipitation estimates in regions with complex terrain where ground-based radar net has limited visibility at low levels. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Applied Meteorology and Climatology American Meteorological Society

Combined space and ground radars for improving quantitative precipitation estimations in the eastern downstream region of the Tibetan Plateau. I: Variability in the vertical structure of precipitation in ChuanYu implicated from long-term space-borne observations by TRMM PR

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1558-8432
D.O.I.
10.1175/JAMC-D-16-0382.1
Publisher site
See Article on Publisher Site

Abstract

AbstractThis study presents a statistical analysis of the variability of the vertical structure of precipitation in the eastern downstream region of the Tibetan Plateau (TP) as measured by the precipitation radar (PR) onboard the National Aeronautics and Space Administration (NASA)’s Tropical Rainfall Measuring Mission (TRMM) satellite. Data were analyzed over an 11 year time span (Jan. 2004–Dec. 2014). The results show the seasonal and spatial variability of the storm height, freezing level, and bright-band for different types of precipitation as well as the characteristics of intensity-related and type-related vertical profiles of reflectivity (VPRs). Major findings were as follows. Precipitation types greatly impacted the VPRs in terms of their different microphysical and dynamical processes. About 90% of the bright-band (hereafter, BB) peak reflectivity of stratiform precipitation was less than 32 dBZ, and 40% of the maximum reflectivity of convective precipitation exceeded 35 dBZ. The intensity of surface rainfall rates also depended on the shapes of VPRs. For stratiform precipitation, ice–snow aggregation was faster during moderate and heavy rainfall than that in light rainfall. Since both the moisture and temperature are lower in winter, the transform efficiency of hydrometers becomes slower. Typical Ku-band representative climatological VPRs (defined as CPRs) for stratiform precipitation have been created based on the integration of normalized VPR shape for the given area and the rainfall intensity. All the findings indicate that the developed CPRs can be used to improve surface precipitation estimates in regions with complex terrain where ground-based radar net has limited visibility at low levels.

Journal

Journal of Applied Meteorology and ClimatologyAmerican Meteorological Society

Published: Jun 14, 2017

References

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