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contributor authorWarren, Robert A.
contributor authorProtat, Alain
contributor authorSiems, Steven T.
contributor authorRamsay, Hamish A.
contributor authorLouf, Valentin
contributor authorManton, Michael J.
contributor authorKane, Thomas A.
date accessioned2019-09-19T10:03:29Z
date available2019-09-19T10:03:29Z
date copyright12/5/2017 12:00:00 AM
date issued2017
identifier otherjtech-d-17-0128.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261056
description abstractAbstractCalibration error represents a significant source of uncertainty in quantitative applications of ground-based radar (GR) reflectivity data. Correcting it requires knowledge of the true reflectivity at well-defined locations and times during a volume scan. Previous work has demonstrated that observations from certain spaceborne radar (SR) platforms may be suitable for this purpose. Specifically, the Ku-band precipitation radars on board the Tropical Rainfall Measuring Mission (TRMM) satellite and its successor, the Global Precipitation Measurement (GPM) mission Core Observatory satellite together provide nearly two decades of well-calibrated reflectivity measurements over low-latitude regions (±35°). However, when comparing SR and GR reflectivities, great care must be taken to account for differences in instrument sensitivity and frequency, and to ensure that the observations are spatially and temporally coincident. Here, a volume-matching method, developed as part of the ground validation network for GPM, is adapted and used to quantify historical calibration errors for three S-band radars in the vicinity of Sydney, Australia. Volume-matched GR?SR sample pairs are identified over a 7-yr period and carefully filtered to isolate reflectivity differences associated with GR calibration error. These are then used in combination with radar engineering work records to derive a piecewise-constant time series of calibration error for each site. The efficacy of this approach is verified through comparisons between GR reflectivities in regions of overlapping coverage, with improved agreement when the estimated errors are removed.
publisherAmerican Meteorological Society
titleCalibrating Ground-Based Radars against TRMM and GPM
typeJournal Paper
journal volume35
journal issue2
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-17-0128.1
journal fristpage323
journal lastpage346
treeJournal of Atmospheric and Oceanic Technology:;2017:;volume 035:;issue 002
contenttypeFulltext


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