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Application of TRMM/PR Data for Numerical Simulations with Mesoscale Model MM5


doi: 10.1007/s00376-003-0003-x

  • Numerical simulations of two heavy rainfall cases in the Changjiang-Huaihe River basin are performed with TRMM/PR (precipitation radar) data incorporated into the PSU/NCAR meso scale model MM5.The mixing ratio of rainwater qr is obtained from the R-qr relation (R is the rainfall rate), and the mixing ratio of water vapor qv in the model is replaced by q'v=qv+qr. Then, TRMM/PR data are used to modify humidity analysis obtained from conventional radiosonde data, and sensitivity experiments (STE) are performed and compared to control experiments (CTL). Results show that both the heavy rainfall distribution and its maximum amounts from STE are improved compared with those from CTL.
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Manuscript History

Manuscript received: 10 March 2003
Manuscript revised: 10 March 2003
通讯作者: 陈斌, bchen63@163.com
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Application of TRMM/PR Data for Numerical Simulations with Mesoscale Model MM5

  • 1. Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Department of Atmospheric Sciences, Nanjing University, Nanjing 210093,Communications Research Laboratory, Nukui Kitamachi 4-2-1, Koganei, Tokyo 184, Japan,Institute for Hydrospheric Atmospheric Sciences, Nagoya University, Japan

Abstract: Numerical simulations of two heavy rainfall cases in the Changjiang-Huaihe River basin are performed with TRMM/PR (precipitation radar) data incorporated into the PSU/NCAR meso scale model MM5.The mixing ratio of rainwater qr is obtained from the R-qr relation (R is the rainfall rate), and the mixing ratio of water vapor qv in the model is replaced by q'v=qv+qr. Then, TRMM/PR data are used to modify humidity analysis obtained from conventional radiosonde data, and sensitivity experiments (STE) are performed and compared to control experiments (CTL). Results show that both the heavy rainfall distribution and its maximum amounts from STE are improved compared with those from CTL.

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