DOI: 10.1002/2016JD025920
论文题名: Testing the daily PRISM air temperature model on semiarid mountain slopes
作者: Strachan S. ; Daly C.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2017
卷: 122, 期: 11 起始页码: 5697
结束页码: 5715
语种: 英语
英文关键词: downscaling
; gridded temperature model
; instrument bias
; mountain climate
; sensor networks
; topoclimate
英文摘要: Studies in mountainous terrain related to ecology and hydrology often use interpolated climate products because of a lack of local observations. One data set frequently used to develop plot-to-watershed-scale climatologies is PRISM (Parameter-elevation Regression on Independent Slopes Model) temperature. Benefits of this approach include geographically weighted station observations and topographic positioning modifiers, which become important factors for predicting temperature in complex topography. Because of the paucity of long-term climate records in mountain environments, validation of PRISM algorithms across diverse regions remains challenging, with end users instead relying on atmospheric relationships derived in sometimes distant geographic settings. Presented here are results from testing observations of daily temperature maximum (TMAX) and minimum (TMIN) on 16 sites in the Walker Basin, California-Nevada, located on open woodland slopes ranging from 1967 to 3111 m in elevation. Individual site mean absolute error varied from 1.1 to 3.7°C with better performance observed during summertime as opposed to winter. We observed a consistent cool bias in TMIN for all seasons across all sites, with cool bias in TMAX varying with season. Model error for TMIN was associated with elevation, whereas model error for TMAX was associated with topographic radiative indices (solar exposure and heat loading). These results demonstrate that temperature conditions across mountain woodland slopes are more heterogeneous than interpolated models (such as PRISM) predict, that drivers of these differences are complex and localized in nature, and that scientific application of atmospheric/climate models in mountains requires additional attention to model assumptions and source data. ©2017. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62667
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Nevada Climate-ecohydrological Assessment Network, Department of Geography, University of Nevada, Reno, NV, United States; PRISM Climate Group, Northwest Alliance for Computational Science and Engineering, Oregon State University, Corvallis, OR, United States
Recommended Citation:
Strachan S.,Daly C.. Testing the daily PRISM air temperature model on semiarid mountain slopes[J]. Journal of Geophysical Research: Atmospheres,2017-01-01,122(11)