Comparisons of rain rate and reflectivity between TRMM precipitation radar and Gosan S-band radar

Park, Jun-Dong; Ou, Mi-Lim; Morris, Kenneth R.; Schwaller, M.

doi:10.1109/igarss.2010.5649965

Cited by 1 publication

(1 citation statement)

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“…It is well known that the PR was well calibrated by internal and external calibrations (Kummerow, 2000;Shimizu et al, 2001;Takahashi and Iguchi, 2004;Iguchi, 2006), and the PR data can be a reasonable standard for the survey of ground-based weather radar data according to the literature (e.g. Bolen and Chandrasekar, 2000;Heymsfield et al, 2000;Schumacher and Houze, 2000;Viltard et al, 2000;Liao et al, 2001;Gojara and Chandrasekar, 2002;Wolff et al, 2005;Liao and Meneghini, 2009a;Park et al, 2010). The Global Precipitation Measurement (GPM) Core Observatory, launched on 28 February 2014 (Hou et al, 2014), has built upon the success of the TRMM satellite.…”

Section: Introductionmentioning

confidence: 99%

The establishment of optimal ground‐based radar datasets by comparison and correlation analyses with space‐borne radar data

Han

Chu

Wang

et al. 2017

Meteorological Applications

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Calibration error, due to ground-based radar (GR) hardware parameters, introduces biases to GR reflectivity factor data. As a result of this, GR observations from the China new-generation weather radar network have sometimes been found to be inconsistent, even when observing precipitation in the same area. In this paper a method, called the Available Best Comparable Data set (ABCD) method, is proposed. The method evaluates the radar reflectivity bias in GR datasets by using TRMM Standard Product (TSP) 2A25 data from Tropical Rainfall Measuring Mission (TRMM) satellite-borne precipitation radar (PR). The analysis is supported by simultaneous measurement data from two precipitation events that occurred in the middle and lower reaches of the Yangtze River between June and July 2010; data were collected during these events by three radars in Nanjing, Changzhou and Nantong (Jiangsu province, China). The ABCD method could correct deviations in the GR reflectivity factors; the GR-corrected values were consistent with those observed by automatic weather stations. The method can be applied to improve the quality of precipitation data products from the GR network and their quantitative application for the southern region in China.

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