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contributor authorDemaria, Eleonora M. C.
contributor authorGoodrich, David C.
contributor authorKunkel, Kenneth E.
date accessioned2019-09-22T09:02:55Z
date available2019-09-22T09:02:55Z
date copyright12/26/2018 12:00:00 AM
date issued2018
identifier otherJTECH-D-18-0128.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262492
description abstractThe detection and attribution of changes in precipitation characteristics relies on dense networks of rain gauges. In the United States, the COOP network is widely used for such studies even though there are reported inconsistencies due to changes in instruments and location, inadequate maintenance, dissimilar observation time, and the fact that measurements are made by a group of dedicated volunteers. Alternately, the Long-Term Agroecosystem Research (LTAR) network has been consistently and professionally measuring precipitation since the early 1930s. The purpose of this study is to compare changes in extreme daily precipitation characteristics during the warm season using paired rain gauges from the LTAR and COOP networks. The comparison, done at 12 LTAR sites located across the United States, shows underestimation and overestimation of daily precipitation totals at the COOP sites compared to the reference LTAR observations. However, the magnitude and direction of the differences are not linked to the underlying precipitation climatology of the sites. Precipitation indices that focus on extreme precipitation characteristics match closely between the two networks at most of the sites. Our results show consistency between the COOP and LTAR networks with precipitation extremes. It also indicates that despite the discrepancies at the daily time steps, the extreme precipitation observed by COOP rain gauges can be reliably used to characterize changes in the hydrologic cycle due to natural and human causes.
publisherAmerican Meteorological Society
titleEvaluating the Reliability of the U.S. Cooperative Observer Program Precipitation Observations for Extreme Events Analysis Using the LTAR Network
typeJournal Paper
journal volume36
journal issue3
journal titleJournal of Atmospheric and Oceanic Technology
identifier doi10.1175/JTECH-D-18-0128.1
journal fristpage317
journal lastpage332
treeJournal of Atmospheric and Oceanic Technology:;2018:;volume 036:;issue 003
contenttypeFulltext


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