Knowledge Resource Center for Ecological Environment in Arid Area
| 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 | |
| Corresponding Author | Weston, M (corresponding author), Khalifa Univ, Res & Dev Div, Abu Dhabi, U Arab Emirates. |
| Journal | JOURNAL OF HYDROLOGY
 |
| ISSN | 0022-1694 |
| EISSN | 1879-2707 |
| Year Published | 2021 |
| Volume | 597 |
| Abstract in English | 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. |
| Keyword in English | Radiation fog Operational forecast Rule-based method LWC Visibility Tdep WRF Arid region |
| Subtype | Article |
| Language | 英语 |
| Indexed By | SCI-E |
| WOS ID | WOS:000652835600068 |
| WOS Keyword | PRECIPITATION PRODUCTS ; SOIL-MOISTURE ; PREDICTION ; MODEL ; VISIBILITY ; PARAMETERIZATION ; CLIMATOLOGY ; CONSISTENCY ; SIMULATION ; RAINFALL |
| WOS Subject | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
| WOS Research Area | Engineering ; Geology ; Water Resources |
| Document Type | 期刊论文 |
| Identifier | http://119.78.100.177/qdio/handle/2XILL650/350895 |
| Affiliation | [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 |
| Recommended Citation 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). |
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