Matches in SemOpenAlex for { <https://semopenalex.org/work/W2555290504> ?p ?o ?g. }
- W2555290504 endingPage "2594" @default.
- W2555290504 startingPage "2573" @default.
- W2555290504 abstract "Abstract. A new technique for estimating the raindrop size distribution (DSD) from polarimetric radar data is proposed. Two statistical moments of the DSD are estimated from polarimetric variables, and the DSD is reconstructed using a double-moment normalisation. The technique takes advantage of the relative invariance of the double-moment normalised DSD. The method was tested using X-band radar data and networks of disdrometers in three different climatic regions. Radar-derived estimates of the DSD compare reasonably well to observations. In the three tested domains, in terms of DSD moments, rain rate, and characteristic drop diameter, the proposed method performs similarly to and often better than a state-of-the-art DSD-retrieval technique. The approach is flexible because no specific DSD model is prescribed. In addition, a method is proposed to treat noisy radar data to improve DSD-retrieval performance with radar measurements." @default.
- W2555290504 created "2016-11-30" @default.
- W2555290504 creator A5037375588 @default.
- W2555290504 creator A5059318470 @default.
- W2555290504 date "2017-07-20" @default.
- W2555290504 modified "2023-09-30" @default.
- W2555290504 title "Retrieval of the raindrop size distribution from polarimetric radar data using double-moment normalisation" @default.
- W2555290504 cites W1556824980 @default.
- W2555290504 cites W1579757413 @default.
- W2555290504 cites W1819952904 @default.
- W2555290504 cites W1892011713 @default.
- W2555290504 cites W1976563899 @default.
- W2555290504 cites W1979955298 @default.
- W2555290504 cites W1980244722 @default.
- W2555290504 cites W1982754357 @default.
- W2555290504 cites W1982859544 @default.
- W2555290504 cites W1983639248 @default.
- W2555290504 cites W1996367659 @default.
- W2555290504 cites W1998094323 @default.
- W2555290504 cites W2015241713 @default.
- W2555290504 cites W2024823257 @default.
- W2555290504 cites W2031459034 @default.
- W2555290504 cites W2041353992 @default.
- W2555290504 cites W2043915799 @default.
- W2555290504 cites W2044374283 @default.
- W2555290504 cites W2055032427 @default.
- W2555290504 cites W2059126724 @default.
- W2555290504 cites W2073264802 @default.
- W2555290504 cites W2084236126 @default.
- W2555290504 cites W2087716836 @default.
- W2555290504 cites W2094889874 @default.
- W2555290504 cites W2105372426 @default.
- W2555290504 cites W2113439544 @default.
- W2555290504 cites W2115792892 @default.
- W2555290504 cites W2128558788 @default.
- W2555290504 cites W2136400621 @default.
- W2555290504 cites W2137823330 @default.
- W2555290504 cites W2144939043 @default.
- W2555290504 cites W2146920208 @default.
- W2555290504 cites W2156040521 @default.
- W2555290504 cites W2158842735 @default.
- W2555290504 cites W2161144494 @default.
- W2555290504 cites W2168795878 @default.
- W2555290504 cites W2169083421 @default.
- W2555290504 cites W2172421843 @default.
- W2555290504 cites W2173740304 @default.
- W2555290504 cites W2174905827 @default.
- W2555290504 cites W2177109858 @default.
- W2555290504 cites W2179998806 @default.
- W2555290504 cites W223995386 @default.
- W2555290504 cites W2415201576 @default.
- W2555290504 cites W2522395321 @default.
- W2555290504 cites W2564547331 @default.
- W2555290504 cites W2604298827 @default.
- W2555290504 doi "https://doi.org/10.5194/amt-10-2573-2017" @default.
- W2555290504 hasPublicationYear "2017" @default.
- W2555290504 type Work @default.
- W2555290504 sameAs 2555290504 @default.
- W2555290504 citedByCount "21" @default.
- W2555290504 countsByYear W25552905042017 @default.
- W2555290504 countsByYear W25552905042018 @default.
- W2555290504 countsByYear W25552905042019 @default.
- W2555290504 countsByYear W25552905042020 @default.
- W2555290504 countsByYear W25552905042022 @default.
- W2555290504 countsByYear W25552905042023 @default.
- W2555290504 crossrefType "journal-article" @default.
- W2555290504 hasAuthorship W2555290504A5037375588 @default.
- W2555290504 hasAuthorship W2555290504A5059318470 @default.
- W2555290504 hasBestOaLocation W25552905041 @default.
- W2555290504 hasConcept C120665830 @default.
- W2555290504 hasConcept C121332964 @default.
- W2555290504 hasConcept C127313418 @default.
- W2555290504 hasConcept C153294291 @default.
- W2555290504 hasConcept C179254644 @default.
- W2555290504 hasConcept C191486275 @default.
- W2555290504 hasConcept C28493345 @default.
- W2555290504 hasConcept C39432304 @default.
- W2555290504 hasConcept C41008148 @default.
- W2555290504 hasConcept C554190296 @default.
- W2555290504 hasConcept C62649853 @default.
- W2555290504 hasConcept C74650414 @default.
- W2555290504 hasConcept C76155785 @default.
- W2555290504 hasConceptScore W2555290504C120665830 @default.
- W2555290504 hasConceptScore W2555290504C121332964 @default.
- W2555290504 hasConceptScore W2555290504C127313418 @default.
- W2555290504 hasConceptScore W2555290504C153294291 @default.
- W2555290504 hasConceptScore W2555290504C179254644 @default.
- W2555290504 hasConceptScore W2555290504C191486275 @default.
- W2555290504 hasConceptScore W2555290504C28493345 @default.
- W2555290504 hasConceptScore W2555290504C39432304 @default.
- W2555290504 hasConceptScore W2555290504C41008148 @default.
- W2555290504 hasConceptScore W2555290504C554190296 @default.
- W2555290504 hasConceptScore W2555290504C62649853 @default.
- W2555290504 hasConceptScore W2555290504C74650414 @default.
- W2555290504 hasConceptScore W2555290504C76155785 @default.
- W2555290504 hasFunder F4320320924 @default.
- W2555290504 hasIssue "7" @default.
- W2555290504 hasLocation W25552905041 @default.