An Interpretation of TRMM Radar Observations of Shallow Convection with a Rain Cell Model(1. Precipitation Radar (PR),<Special Issue>Precipitation Measurements from Space)

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概要

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• Observations of shallow, isolated convection from the Precipitation Radar (PR) aboard the Tropical Rainfall Measuring Mission (TRMM) observatory were compared with simulations from a rain cell model to examine effects of sub-resolution scale convection on space-borne radar observations. A large sample of shallow isolated convection was obtained from PR data over the central Pacific Intertropical Convergence Zone. Storm top heights, ranged from 1000 to 3750m, with a mode at 1500m. A secondary classification was made to identify 3 classes with progressively smaller spatial scales: groups of rainy fields-of-view (FOVs), rainy FOVs with one neighboring rainy FOV, and solitary rainy FOVs. Smaller spatial scales were associated with shallower storms and lower radar reflectivity (dBZ) values. The solitary class was the focus of the modeling comparison. The first objective of the modeling exercise was to explore the possibility that information on the horizontal scale and rain rate intensity of sub-resolution shallow convection could be extracted from the PR observations by finding an optimal fit between simulated and observed dBZ distributions. The height and diameter of simulated rain cells were linked by assuming an average aspect ratio of one. Simulated and observed probability distributions of dBZ were compared for two modes of rain cell variability: a fixed aspect ratio with variable cell dBZ, and a fixed cell dBZ with variable aspect ratio. Both modes resulted in excellent comparisons with observed distributions. The second modeling objective was to compare rain rates from the simulated "ground truth" and simulated "retrieved" rain rates, and to determine the effective sampling area of the modeled FOV. In general, simulated retrieved rain rates had a positive bias, as expected from the non-linear Z-R relation. However, more complex patterns of potential negative biases were evident, depending on the size and intensity of modeled rain cells.

• 社団法人日本気象学会の論文
• 2009-03-31

著者

• HIROSE Masafumi

  Department of Environmental Science and Technology, Faculty of Science and Technology, Meijo Univers

• SHORT David

  Hydrospheric Atmospheric Research Center, Nagoya University

• NAKAMURA Kenji

  Hydrospheric Atmospheric Research Center, Nagoya University

• Short David

  Hydrospheric Atmospheric Res. Center Nagoya Univ.

• Hirose Masafumi

  Department Of Environmental Science And Technology Faculty Of Science And Technology Meijo Universit

• Nakamura Kenji

  Hydrospheric Atmospheric Research Center Nagoya University

• Nakamura Kenji

  Hydropsheric and Atmospheric Research Center (HyARC), Nagoya University

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