Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387656350> ?p ?o ?g. }
Showing items 1 to 70 of
70
with 100 items per page.
- W4387656350 endingPage "563" @default.
- W4387656350 startingPage "549" @default.
- W4387656350 abstract "Short-time heavy precipitation belongs to a sudden and catastrophic convective weather. Accurate quantitative precipitation estimation is of great significance for preventing heavy precipitation disaster caused by convective systems. At present, quantitative precipitation estimation mostly relies on radar reflectivity (Ref) maps provided by the conventional Doppler radar, but the physical information that reflectivity can provide is quite limited. Dual-polarization radar can provide additional polarization variables, these variables have additional storm microphysical state and dynamic structure information, which helps to improve the accuracy of quantitative precipitation estimation. To this end, a neural network model incorporating multiple radar polarization variables is designed in this paper. We also introduce an attention mechanism module based on the reflectivity to combine the differential reflectivity (Zdr) and differential phase shift rate (Kdp) for inference constraints and result correction. The experimental results show that the model in this paper reduced the prediction RMSE by 11.49%−27.23% compared with the traditional Z-R relationship and by 7.51%−18.27% compared with the deep learning model QPENet. Meanwhile, this paper tested the transfer performance of the model, using data from Central China and South China respectively after training with data from the Central USA. The results show that the model performs better in Central China at the same latitude, which fully illustrates the obvious difference of convective system evolution mechanism in different latitudes." @default.
- W4387656350 created "2023-10-16" @default.
- W4387656350 creator A5016956738 @default.
- W4387656350 creator A5032488257 @default.
- W4387656350 creator A5050630873 @default.
- W4387656350 creator A5059309575 @default.
- W4387656350 creator A5065925434 @default.
- W4387656350 date "2023-01-01" @default.
- W4387656350 modified "2023-10-16" @default.
- W4387656350 title "Study on Quantitative Precipitation Estimation and Model’s Transfer Performance by Incorporating Dual Polarization Radar Variables" @default.
- W4387656350 cites W1966006139 @default.
- W4387656350 cites W2045947288 @default.
- W4387656350 cites W2051222311 @default.
- W4387656350 cites W2065252985 @default.
- W4387656350 cites W2174998367 @default.
- W4387656350 cites W2177950418 @default.
- W4387656350 cites W2508876297 @default.
- W4387656350 cites W2765281059 @default.
- W4387656350 cites W3011365293 @default.
- W4387656350 cites W3191285888 @default.
- W4387656350 doi "https://doi.org/10.1007/978-981-99-6492-5_47" @default.
- W4387656350 hasPublicationYear "2023" @default.
- W4387656350 type Work @default.
- W4387656350 citedByCount "0" @default.
- W4387656350 crossrefType "book-chapter" @default.
- W4387656350 hasAuthorship W4387656350A5016956738 @default.
- W4387656350 hasAuthorship W4387656350A5032488257 @default.
- W4387656350 hasAuthorship W4387656350A5050630873 @default.
- W4387656350 hasAuthorship W4387656350A5059309575 @default.
- W4387656350 hasAuthorship W4387656350A5065925434 @default.
- W4387656350 hasConcept C105306849 @default.
- W4387656350 hasConcept C107054158 @default.
- W4387656350 hasConcept C127313418 @default.
- W4387656350 hasConcept C153294291 @default.
- W4387656350 hasConcept C205649164 @default.
- W4387656350 hasConcept C39432304 @default.
- W4387656350 hasConcept C41008148 @default.
- W4387656350 hasConcept C554190296 @default.
- W4387656350 hasConcept C62649853 @default.
- W4387656350 hasConcept C76155785 @default.
- W4387656350 hasConcept C92237259 @default.
- W4387656350 hasConceptScore W4387656350C105306849 @default.
- W4387656350 hasConceptScore W4387656350C107054158 @default.
- W4387656350 hasConceptScore W4387656350C127313418 @default.
- W4387656350 hasConceptScore W4387656350C153294291 @default.
- W4387656350 hasConceptScore W4387656350C205649164 @default.
- W4387656350 hasConceptScore W4387656350C39432304 @default.
- W4387656350 hasConceptScore W4387656350C41008148 @default.
- W4387656350 hasConceptScore W4387656350C554190296 @default.
- W4387656350 hasConceptScore W4387656350C62649853 @default.
- W4387656350 hasConceptScore W4387656350C76155785 @default.
- W4387656350 hasConceptScore W4387656350C92237259 @default.
- W4387656350 hasLocation W43876563501 @default.
- W4387656350 hasOpenAccess W4387656350 @default.
- W4387656350 hasPrimaryLocation W43876563501 @default.
- W4387656350 hasRelatedWork W1544437858 @default.
- W4387656350 hasRelatedWork W1933455866 @default.
- W4387656350 hasRelatedWork W2036324114 @default.
- W4387656350 hasRelatedWork W2094276481 @default.
- W4387656350 hasRelatedWork W2166923512 @default.
- W4387656350 hasRelatedWork W2275457798 @default.
- W4387656350 hasRelatedWork W2798120804 @default.
- W4387656350 hasRelatedWork W3011109177 @default.
- W4387656350 hasRelatedWork W4311063044 @default.
- W4387656350 hasRelatedWork W2994267410 @default.
- W4387656350 isParatext "false" @default.
- W4387656350 isRetracted "false" @default.
- W4387656350 workType "book-chapter" @default.