DOI: 10.1002/2017MS001025
Scopus记录号: 2-s2.0-85029388194
论文题名: Analysis of near-surface biases in ERA-Interim over the Canadian Prairies
作者: Betts A ; K ; , Beljaars A ; C ; M
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2017
卷: 9, 期: 5 起始页码: 2158
结束页码: 2173
语种: 英语
英文关键词: Earth sciences
; Canadian prairie
; Different structure
; Diurnal cycle
; Diurnal temperature ranges
; Era interims
; Minimum temperatures
; Reanalysis
; Seasonal amplitudes
; Heat flux
; agricultural modeling
; clear sky
; cloud cover
; heat flux
; leaf area index
; seasonal variation
; temperature effect
; temperature gradient
; Canada
; Prairie Provinces
; Saskatchewan
英文摘要: We quantify the biases in the diurnal cycle of temperature in ERA-Interim for both warm and cold season using hourly climate station data for four stations in Saskatchewan from 1979 to 2006. The warm season biases increase as opaque cloud cover decreases, and change substantially from April to October. The bias in mean temperature increases almost monotonically from small negative values in April to small positive values in the fall. Under clear skies, the bias in maximum temperature is of the order of −1°C in June and July, and −2°C in spring and fall; while the bias in minimum temperature increases almost monotonically from +1°C in spring to +2.5°C in October. The bias in the diurnal temperature range falls under clear skies from −2.5°C in spring to −5°C in fall. The cold season biases with surface snow have a different structure. The biases in maximum, mean and minimum temperature with a stable BL reach +1°C, +2.6°C and +3°C respectively in January under clear skies. The cold season bias in diurnal range increases from about −1.8°C in the fall to positive values in March. These diurnal biases in 2 m temperature and their seasonal trends are consistent with a high bias in both the diurnal and seasonal amplitude of the model ground heat flux, and a warm season daytime bias resulting from the model fixed leaf area index. Our results can be used as bias corrections in agricultural modeling that use these reanalysis data, and also as a framework for understanding model biases. © 2017. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75735
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
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作者单位: Atmospheric Research, Pittsford, VT, United States; ECMWF, Reading, United Kingdom
Recommended Citation:
Betts A,K,, Beljaars A,et al. Analysis of near-surface biases in ERA-Interim over the Canadian Prairies[J]. Journal of Advances in Modeling Earth Systems,2017-01-01,9(5)