Matches in SemOpenAlex for { <https://semopenalex.org/work/W3211629817> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W3211629817 endingPage "756" @default.
- W3211629817 startingPage "743" @default.
- W3211629817 abstract "The numerical weather prediction (NWP) center assimilates a variety of observation data to improve the accuracy of initial conditions. Radar data are also assimilated at NWP centers to improve the accuracy of forecasts. This chapter focuses on data assimilation using the variational method and briefly introduces the current status of radar data assimilation at the operational NWP centers. First, we show how to treatment the non-Gaussian distribution of precipitation observations in the radar data assimilation method. Next, an indirect assimilation method based on Bayesian theory is described. In this method, radar observations are first converted to nonradar meteorological elements. Then, the converted values are assimilated as conventional observations. Finally, the current status of the direct assimilation method of radar observations using the variational method at the NWP center and future issues are described." @default.
- W3211629817 created "2021-11-22" @default.
- W3211629817 creator A5027116302 @default.
- W3211629817 date "2022-01-01" @default.
- W3211629817 modified "2023-10-16" @default.
- W3211629817 title "Radar data assimilation in numerical weather prediction models" @default.
- W3211629817 cites W1540138231 @default.
- W3211629817 cites W1966487726 @default.
- W3211629817 cites W1969698207 @default.
- W3211629817 cites W1974097410 @default.
- W3211629817 cites W1974537952 @default.
- W3211629817 cites W1997256863 @default.
- W3211629817 cites W2006655108 @default.
- W3211629817 cites W2066455064 @default.
- W3211629817 cites W2089876500 @default.
- W3211629817 cites W2102885904 @default.
- W3211629817 cites W2139169911 @default.
- W3211629817 cites W2513572844 @default.
- W3211629817 cites W2566129366 @default.
- W3211629817 cites W2766084951 @default.
- W3211629817 cites W2791514068 @default.
- W3211629817 cites W2895836476 @default.
- W3211629817 cites W2941674245 @default.
- W3211629817 cites W3044733120 @default.
- W3211629817 cites W3045470802 @default.
- W3211629817 cites W3110838695 @default.
- W3211629817 cites W3125043738 @default.
- W3211629817 doi "https://doi.org/10.1016/b978-0-12-822973-6.00012-3" @default.
- W3211629817 hasPublicationYear "2022" @default.
- W3211629817 type Work @default.
- W3211629817 sameAs 3211629817 @default.
- W3211629817 citedByCount "0" @default.
- W3211629817 crossrefType "book-chapter" @default.
- W3211629817 hasAuthorship W3211629817A5027116302 @default.
- W3211629817 hasConcept C121332964 @default.
- W3211629817 hasConcept C133204551 @default.
- W3211629817 hasConcept C138885662 @default.
- W3211629817 hasConcept C147947694 @default.
- W3211629817 hasConcept C153294291 @default.
- W3211629817 hasConcept C163716315 @default.
- W3211629817 hasConcept C205649164 @default.
- W3211629817 hasConcept C24552861 @default.
- W3211629817 hasConcept C39432304 @default.
- W3211629817 hasConcept C41008148 @default.
- W3211629817 hasConcept C41895202 @default.
- W3211629817 hasConcept C554190296 @default.
- W3211629817 hasConcept C62520636 @default.
- W3211629817 hasConcept C62649853 @default.
- W3211629817 hasConcept C75649859 @default.
- W3211629817 hasConcept C76155785 @default.
- W3211629817 hasConceptScore W3211629817C121332964 @default.
- W3211629817 hasConceptScore W3211629817C133204551 @default.
- W3211629817 hasConceptScore W3211629817C138885662 @default.
- W3211629817 hasConceptScore W3211629817C147947694 @default.
- W3211629817 hasConceptScore W3211629817C153294291 @default.
- W3211629817 hasConceptScore W3211629817C163716315 @default.
- W3211629817 hasConceptScore W3211629817C205649164 @default.
- W3211629817 hasConceptScore W3211629817C24552861 @default.
- W3211629817 hasConceptScore W3211629817C39432304 @default.
- W3211629817 hasConceptScore W3211629817C41008148 @default.
- W3211629817 hasConceptScore W3211629817C41895202 @default.
- W3211629817 hasConceptScore W3211629817C554190296 @default.
- W3211629817 hasConceptScore W3211629817C62520636 @default.
- W3211629817 hasConceptScore W3211629817C62649853 @default.
- W3211629817 hasConceptScore W3211629817C75649859 @default.
- W3211629817 hasConceptScore W3211629817C76155785 @default.
- W3211629817 hasLocation W32116298171 @default.
- W3211629817 hasOpenAccess W3211629817 @default.
- W3211629817 hasPrimaryLocation W32116298171 @default.
- W3211629817 hasRelatedWork W1974537952 @default.
- W3211629817 hasRelatedWork W2085731157 @default.
- W3211629817 hasRelatedWork W2104601845 @default.
- W3211629817 hasRelatedWork W2146207877 @default.
- W3211629817 hasRelatedWork W2941866740 @default.
- W3211629817 hasRelatedWork W2966658498 @default.
- W3211629817 hasRelatedWork W2998599258 @default.
- W3211629817 hasRelatedWork W3012128377 @default.
- W3211629817 hasRelatedWork W3211629817 @default.
- W3211629817 hasRelatedWork W3214221796 @default.
- W3211629817 isParatext "false" @default.
- W3211629817 isRetracted "false" @default.
- W3211629817 magId "3211629817" @default.
- W3211629817 workType "book-chapter" @default.