Assessing Gauge Undercatch Correction in Arctic Basins in Light of GRACE Observations
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Behrangi_et_al-2019-Geophysica ...
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Final Published Version
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Univ Arizona, Dept Hydrol & Atmospher SciUniv Arizona, Dept Geosci
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2019-10-09
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AMER GEOPHYSICAL UNIONCitation
Behrangi, A., Singh, A., Song, Y., & Panahi, M. (2019). Assessing gauge undercatch correction in Arctic basins in light of GRACE observations. Geophysical Research Letters, 46. https://doi.org/10.1029/2019GL084221Journal
GEOPHYSICAL RESEARCH LETTERSRights
Copyright © 2019. American Geophysical Union. All Rights Reserved.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Precipitation measurements at gauges are often considered as reference truth for evaluation of satellite precipitation products. However, gauges may contain large errors. A major source of gauge‐measurement error is snowfall undercatch in high latitudes. We show that the two popular correction factors (CFs) used in the Global Precipitation Climatology Centre monitoring and the Global Precipitation Climatology Project products are different by more than 50%. The CFs can be as large as 3; thus, the choice of CF introduces large uncertainties. Here, in light of observation of storage change from the Gravity Recovery and Climate Experiment (GRACE) and by using the mass conservation principle, we assess the two popular CFs over six Arctic basins. By investigating monthly time series and multiyear precipitation rates over the studied basins using GRACE‐based analysis, the CF based on Fuchs dynamic correction model used in Global Precipitation Climatology Centre monitoring is preferred.Note
6 month embargo; published online: 9 October 2019ISSN
0094-8276Version
Final published versionSponsors
NASA GRACE and GRACE-FO [NNH15ZDA001N-GRACE]; NASA Energy and Water Cycle Study [NNH13ZDA001N-NEWS]; NASA MEaSUREs [NNH17ZDA001NMEASURES]ae974a485f413a2113503eed53cd6c53
10.1029/2019gl084221