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contributor authorvon Lerber, Annakaisa
contributor authorMoisseev, Dmitri
contributor authorMarks, David A.
contributor authorPetersen, Walter
contributor authorHarri, Ari-Matti
contributor authorChandrasekar, V.
date accessioned2019-09-19T10:06:28Z
date available2019-09-19T10:06:28Z
date copyright12/20/2017 12:00:00 AM
date issued2017
identifier otherjamc-d-17-0176.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4261609
description abstractAbstractCurrently, there are several spaceborne microwave instruments suitable for the detection and quantitative estimation of snowfall. To test and improve retrieval snowfall algorithms, ground validation datasets that combine detailed characterization of snowfall microphysics and spatial precipitation measurements are required. To this endpoint, measurements of snow microphysics are combined with large-scale weather radar observations to generate such a dataset. The quantitative snowfall estimates are computed by applying event-specific relations between the equivalent reflectivity factor and snowfall rate to weather radar observations. The relations are derived using retrieved ice particle microphysical properties from observations that were carried out at the University of Helsinki research station in Hyytiälä, Finland, which is about 64 km east of the radar. For each event, the uncertainties of the estimate are also determined. The feasibility of using this type of data to validate spaceborne snowfall measurements and algorithms is demonstrated with the NASA GPM Microwave Imager (GMI) snowfall product. The detection skill and retrieved surface snowfall precipitation of the GPROF detection algorithm, versions V04A and V05A, are assessed over southern Finland. On the basis of the 26 studied overpasses, probability of detection (POD) is 0.90 for version V04A and 0.84 for version V05A, and corresponding false-alarm rates are 0.09 and 0.10, respectively. A clear dependence of detection skill on cloud echo top height is shown: POD increased from 0.8 to 0.99 (V04A) and from 0.61 to 0.94 (V05A) as the cloud echo top altitude increased from 2 to 5 km. Both versions underestimate the snowfall rate by factors of 6 (V04A) and 3 (V05A).
publisherAmerican Meteorological Society
titleValidation of GMI Snowfall Observations by Using a Combination of Weather Radar and Surface Measurements
typeJournal Paper
journal volume57
journal issue4
journal titleJournal of Applied Meteorology and Climatology
identifier doi10.1175/JAMC-D-17-0176.1
journal fristpage797
journal lastpage820
treeJournal of Applied Meteorology and Climatology:;2017:;volume 057:;issue 004
contenttypeFulltext


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