Matches in SemOpenAlex for { <https://semopenalex.org/work/W2108700726> ?p ?o ?g. }
- W2108700726 endingPage "487" @default.
- W2108700726 startingPage "472" @default.
- W2108700726 abstract "The Met Office has developed and demonstrated an hourly cycling 1.5 km resolution NWP ‐based nowcast system (0–6 h forecasts) using four‐dimensional variational data assimilation (4D‐Var). This was known as the Nowcasting Demonstration Project ( NDP ), and was principally for prediction of convective storms for flood forecasting. The NDP was run in real time from March 2012 to April 2013 to cover the period of the London Olympics 2012. The system was run on a domain covering southern England and Wales nested in the UK variable resolution model ( UKV ). The UKV used a UK ‐wide 1.5 km domain with 3 hourly cycling three‐dimensional variational data assimilation (3D‐Var) and produced 36 h forecasts every 6 h. The NDP 4D‐V ar included standard observations, Doppler radar radial winds, humidity derived from a 3D cloud cover analysis and geostationary satellite upper‐tropospheric water vapour radiances not contaminated by cloud. This was used in combination with latent heat nudging of radar‐derived precipitation rates. Example case‐studies compare the NDP precipitation forecasts to both the operational extrapolation/merged nowcast system and the UKV forecasts. Objective comparison of fraction skill score for the period June to August 2012 shows that the NDP skill was greater than the latest UKV forecasts, available to forecasters at the same time as the NDP , for the whole 6 h forecast period. The skill of the NDP was greater than the operational extrapolation/merged nowcast beyond T + 2 h." @default.
- W2108700726 created "2016-06-24" @default.
- W2108700726 creator A5006655553 @default.
- W2108700726 creator A5037161934 @default.
- W2108700726 creator A5045019377 @default.
- W2108700726 creator A5047595313 @default.
- W2108700726 date "2015-11-29" @default.
- W2108700726 modified "2023-10-02" @default.
- W2108700726 title "Performance of 4D-Var NWP-based nowcasting of precipitation at the Met Office for summer 2012" @default.
- W2108700726 cites W1493518125 @default.
- W2108700726 cites W1844178728 @default.
- W2108700726 cites W1923700569 @default.
- W2108700726 cites W1966487726 @default.
- W2108700726 cites W1971891908 @default.
- W2108700726 cites W1974537952 @default.
- W2108700726 cites W1977356135 @default.
- W2108700726 cites W1978648105 @default.
- W2108700726 cites W1978980702 @default.
- W2108700726 cites W1978990678 @default.
- W2108700726 cites W1994927656 @default.
- W2108700726 cites W1997256863 @default.
- W2108700726 cites W1999511976 @default.
- W2108700726 cites W2007269196 @default.
- W2108700726 cites W2008825537 @default.
- W2108700726 cites W2016184960 @default.
- W2108700726 cites W2016866892 @default.
- W2108700726 cites W2024414272 @default.
- W2108700726 cites W2024527215 @default.
- W2108700726 cites W2028091897 @default.
- W2108700726 cites W2030690562 @default.
- W2108700726 cites W2033486251 @default.
- W2108700726 cites W2036477442 @default.
- W2108700726 cites W2044423293 @default.
- W2108700726 cites W2048046425 @default.
- W2108700726 cites W2051434435 @default.
- W2108700726 cites W2056021206 @default.
- W2108700726 cites W2057299586 @default.
- W2108700726 cites W2061075563 @default.
- W2108700726 cites W2066352855 @default.
- W2108700726 cites W2069974527 @default.
- W2108700726 cites W2073057756 @default.
- W2108700726 cites W2077038911 @default.
- W2108700726 cites W2079565659 @default.
- W2108700726 cites W2084288422 @default.
- W2108700726 cites W2089849641 @default.
- W2108700726 cites W2092866608 @default.
- W2108700726 cites W2095974050 @default.
- W2108700726 cites W2096902327 @default.
- W2108700726 cites W2101328026 @default.
- W2108700726 cites W2102343006 @default.
- W2108700726 cites W2102885904 @default.
- W2108700726 cites W2104763524 @default.
- W2108700726 cites W2112863322 @default.
- W2108700726 cites W2113799882 @default.
- W2108700726 cites W2114473878 @default.
- W2108700726 cites W2119564987 @default.
- W2108700726 cites W2129268696 @default.
- W2108700726 cites W2130844535 @default.
- W2108700726 cites W2133088826 @default.
- W2108700726 cites W2136664483 @default.
- W2108700726 cites W2137376882 @default.
- W2108700726 cites W2138513194 @default.
- W2108700726 cites W2139004160 @default.
- W2108700726 cites W2150667891 @default.
- W2108700726 cites W2155654615 @default.
- W2108700726 cites W2156025083 @default.
- W2108700726 cites W2159871158 @default.
- W2108700726 cites W2161315815 @default.
- W2108700726 cites W2165942933 @default.
- W2108700726 cites W2170022262 @default.
- W2108700726 cites W2172819965 @default.
- W2108700726 cites W2175066699 @default.
- W2108700726 cites W2176443568 @default.
- W2108700726 cites W2177827256 @default.
- W2108700726 cites W2179278898 @default.
- W2108700726 cites W2326699005 @default.
- W2108700726 cites W4213204108 @default.
- W2108700726 cites W4242599385 @default.
- W2108700726 doi "https://doi.org/10.1002/qj.2665" @default.
- W2108700726 hasPublicationYear "2015" @default.
- W2108700726 type Work @default.
- W2108700726 sameAs 2108700726 @default.
- W2108700726 citedByCount "57" @default.
- W2108700726 countsByYear W21087007262016 @default.
- W2108700726 countsByYear W21087007262017 @default.
- W2108700726 countsByYear W21087007262018 @default.
- W2108700726 countsByYear W21087007262019 @default.
- W2108700726 countsByYear W21087007262020 @default.
- W2108700726 countsByYear W21087007262021 @default.
- W2108700726 countsByYear W21087007262022 @default.
- W2108700726 countsByYear W21087007262023 @default.
- W2108700726 crossrefType "journal-article" @default.
- W2108700726 hasAuthorship W2108700726A5006655553 @default.
- W2108700726 hasAuthorship W2108700726A5037161934 @default.
- W2108700726 hasAuthorship W2108700726A5045019377 @default.
- W2108700726 hasAuthorship W2108700726A5047595313 @default.
- W2108700726 hasConcept C104110773 @default.
- W2108700726 hasConcept C107054158 @default.