干旱区生态环境知识资源中心(Arid): A rule-based method for diagnosing radiation fog in an arid region from NWP forecasts

Arid

DOI	10.1016/j.jhydrol.2021.126189
	A rule-based method for diagnosing radiation fog in an arid region from NWP forecasts
	Weston, Michael; Temimi, Marouane; Fonseca, Ricardo Morais; Nelli, Narendra Reddy; Francis, Diana; Piketh, Stuart
通讯作者	Weston, M (corresponding author), Khalifa Univ, Res & Dev Div, Abu Dhabi, U Arab Emirates.
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2021
卷号	597
英文摘要	A reliable fog forecast can assist in water resource management and mitigate against hazardous effects on transport networks. However, diagnosing fog from numerical weather prediction models remains a challenge and various methods have been developed to achieve this. One approach is to use a multi rule-based method, where threshold values of multiple variables are employed to define fog conditions in the forecast. Such a method is presented here for next day forecasts of radiation fog at Abu Dhabi in the United Arab Emirates. Variables tested include the dew point depression, wind speed, modified Richardson index, inversion depth, relative humidity and liquid water content. Of these, the best performing rule included relative humidity (>= 94%), wind speed (<= 3 ms(-1)) and inversion depth (>250 m) with a probability of detection (POD) (false alarm ratio (FAR)) of 0.62 (0.37). The worst performing rule was liquid water content with a POD (FAR) of 0.37 (0.31). Model performance was more sensitive to inversion depth than wind speed, and rules that included inversion depth performed better than rules that included the modified Richardson number. A qualitative spatial analysis showed that rules produced realistic fog patches when compared to satellite images. This suggests that the geophysical parameters chosen to define rules are well suited for defining fog as long as the model bias is sufficiently small to fall within the threshold values. This method worked well for the study region and did not demonstrate any seasonal bias.
英文关键词	Radiation fog Operational forecast Rule-based method LWC Visibility Tdep WRF Arid region
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000652835600068
WOS关键词	PRECIPITATION PRODUCTS ; SOIL-MOISTURE ; PREDICTION ; MODEL ; VISIBILITY ; PARAMETERIZATION ; CLIMATOLOGY ; CONSISTENCY ; SIMULATION ; RAINFALL
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/350895
作者单位	[Weston, Michael; Fonseca, Ricardo Morais; Nelli, Narendra Reddy; Francis, Diana] Khalifa Univ, Res & Dev Div, Abu Dhabi, U Arab Emirates; [Temimi, Marouane] Stevens Inst Technol, Dept Civil Environm & Ocean Engn, Hoboken, NJ 07030 USA; [Piketh, Stuart] North West Univ, Sch Geo & Spatial Sci, Unit Environm Sci & Management, Potchefstroom, South Africa
推荐引用方式 GB/T 7714	Weston, Michael,Temimi, Marouane,Fonseca, Ricardo Morais,et al. A rule-based method for diagnosing radiation fog in an arid region from NWP forecasts[J],2021,597.
APA	Weston, Michael,Temimi, Marouane,Fonseca, Ricardo Morais,Nelli, Narendra Reddy,Francis, Diana,&Piketh, Stuart.(2021).A rule-based method for diagnosing radiation fog in an arid region from NWP forecasts.JOURNAL OF HYDROLOGY,597.
MLA	Weston, Michael,et al."A rule-based method for diagnosing radiation fog in an arid region from NWP forecasts".JOURNAL OF HYDROLOGY 597(2021).