DOI: 10.5194/hess-19-951-2015
Scopus记录号: 2-s2.0-84923333143
论文题名: Derivation of a new continuous adjustment function for correcting wind-induced loss of solid precipitation: Results of a Norwegian field study
作者: Wolff M ; A ; , Isaksen K ; , Petersen-ØVerleir A ; , Ødemark K ; , Reitan T ; , Brækkan R
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 2 起始页码: 951
结束页码: 967
语种: 英语
Scopus关键词: Gages
; Meteorological instruments
; Precipitation (meteorology)
; Regression analysis
; Remote sensing
; Snow
; Uncertainty analysis
; Water resources
; Weather information services
; Wind
; Automatic weather stations
; Meteorological parameters
; Non-linear relationships
; Precipitation gauges
; Precipitation measurement
; Remote sensing algorithms
; Temperature dependencies
; Winter precipitation
; Rain
; automation
; Bayesian analysis
; climate prediction
; precipitation (climatology)
; remote sensing
; seasonal variation
; wind velocity
; Norway
英文摘要: Precipitation measurements exhibit large cold-season biases due to under-catch in windy conditions. These uncertainties affect water balance calculations, snowpack monitoring and calibration of remote sensing algorithms and land surface models. More accurate data would improve the ability to predict future changes in water resources and mountain hazards in snow-dominated regions. In 2010, a comprehensive test site for precipitation measurements was established on a mountain plateau in southern Norway. Automatic precipitation gauge data are compared with data from a precipitation gauge in a Double Fence Intercomparison Reference (DFIR) wind shield construction which serves as the reference. A large number of other sensors are provided supporting data for relevant meteorological parameters. In this paper, data from three winters are used to study and determine the wind-induced under-catch of solid precipitation. Qualitative analyses and Bayesian statistics are used to evaluate and objectively choose the model that best describes the data. A continuous adjustment function and its uncertainty are derived for measurements of all types of winter precipitation (from rain to dry snow). A regression analysis does not reveal any significant misspecifications for the adjustment function, but shows that the chosen model does not describe the regression noise optimally. The adjustment function is operationally usable because it is based only on data available at standard automatic weather stations. The results show a non-linear relationship between under-catch and wind speed during winter precipitation events and there is a clear temperature dependency, mainly reflecting the precipitation type. The results allow, for the first time, derivation of an adjustment function based on measurements above 7 ms-1. This extended validity of the adjustment function shows a stabilization of the wind-induced precipitation loss for higher wind speeds. © 2015 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78599
Appears in Collections: 气候变化事实与影响
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作者单位: Norwegian Meteorological Institute, Oslo, Norway; Statkraft, Oslo, Norway; Norwegian Water Resources and Energy Directorate, Oslo, Norway
Recommended Citation:
Wolff M,A,, Isaksen K,et al. Derivation of a new continuous adjustment function for correcting wind-induced loss of solid precipitation: Results of a Norwegian field study[J]. Hydrology and Earth System Sciences,2015-01-01,19(2)