TY - Generic T1 - Cross-Validation of Gridded Precipitation Datasets and a Regional Climate Simulation for the Interior Western United States T2 - 85th Annual Western Snow Conference Y1 - 2017 A1 - Bart Geerts A1 - Xiaoqin Jing A1 - Yonggang Wang A1 - Changhai Liu AB -

This study compares orographic precipitation estimates in the interior western United States (IWUS) from
four gauge-driven gridded datasets, a radar-based dataset, and a 10-year, 4 km convection-permitting simulation
aided by gauge measurements. Gauge-driven gridded precipitation estimates disagree in areas where gauges are
sparse, especially at higher elevations. The radar-based dataset underestimates the winter precipitation in IWUS
because of blockage and lack of low-level radar coverage in complex terrain. The model simulation compares well
against gauge measurements for winter precipitation. Comparison between model and gauge-driven datasets
suggests their differences are related to elevation, gauge density and wind speed. The substantial disagreement
between model and the gridded datasets over some mountains may motivate the re-evaluation of some gauge records
and the installation of new gauges in regions marked by large discrepancies between modeled and gauge-driven
precipitation estimates. (KEYWORDS: gridded precipitation, climate, DAYMET, SNOTEL, climate simulation)

JF - 85th Annual Western Snow Conference CY - Boise, Idaho UR - /files/PDFs/2017Geerts.pdf ER -