| Autor: |
Kamil Mróz, Alessandro Battaglia, Stefan Kneifel, Leo Pio D'Adderio, José Dias Neto |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Earth and Space Science, Vol 7, Iss 3, Pp n/a-n/a (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2333-5084 |
| DOI: |
10.1029/2019EA000789 |
| Popis: |
Abstract A retrieval for characteristic raindrop size and width of the drop size distribution (DSD) based on triple‐frequency vertical Doppler radar measurements is developed. The algorithm exploits a statistical relation that maps measurements of the differential Doppler velocities at X and Ka and at Ka and W bands into the two aforementioned DSD moments. The statistical mapping has been founded on 7,900 hr of disdrometer‐observed DSDs and their simulated Doppler velocities. Additionally, a retrieval of Dm based only on DDVX−W measurements is also presented, and its performance is compared to the analogous algorithm exploiting DDVKa−W data. The retrievals are tested using triple‐frequency radar data collected during a recent field campaign held at the Juelich Observatory for Cloud Evolution (JOYCE, Germany) where in situ measurements of the DSD were carried out only few meters away from the vertically pointing radars. The triple‐frequency retrieval is able to obtain Dm with an uncertainty below 25% for Dm ranging from 0.7 to 2.4 mm. Compared to previously published dual‐frequency retrievals, the third frequency does not improve the retrieval for small Dm ( |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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