Zobrazeno 1 - 10
of 283
pro vyhledávání: '"WARM RAIN"'
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 7, Pp n/a-n/a (2024)
Abstract Representing cloud microphysical processes in large scale atmospheric models is challenging because many processes depend on the details of the droplet size distribution (DSD, the spectrum of droplets with different sizes in a cloud). While
Externí odkaz:
https://doaj.org/article/bc518d30d50d4bbfbc6d326491f47123
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 11, Pp n/a-n/a (2022)
Abstract Microphysics methods for climate models and numerical weather prediction typically track one, two, or three moments of a droplet size distribution for various categories of liquid, ice, and aerosol. Such methods rely on conversion parameters
Externí odkaz:
https://doaj.org/article/3a1f38761b24419f8aa87c2d2a80be69
Publikováno v:
Atmosphere, Vol 14, Iss 11, p 1608 (2023)
On 17 July 2019, an unusually intense rainfall occurred in the central-eastern part of Jiangsu Province in China, resulting in a record-breaking daily precipitation of 286.4 mm at the Rugao station, not seen since 1961. A comprehensive analysis was c
Externí odkaz:
https://doaj.org/article/370aad3751cf4dfc98cc403d43e28f32
Autor:
Tomeu Rigo
Publikováno v:
Hydrology, Vol 10, Iss 7, p 142 (2023)
The Metropolitan Area of Barcelona is one of the most densely populated European regions. The hydrological conditions are very extreme, as are those of the Mediterranean Basin, with long drought periods. The management of water systems is one of the
Externí odkaz:
https://doaj.org/article/0c69313689dc4b67bb2aea8e4fac9643
Akademický článek
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Autor:
Bhupendra A. Raut, Mahen Konwar, P. Murugavel, Dhananjay Kadge, Dinesh Gurnule, Imran Sayyed, Kiran Todekar, Neelam Malap, Shivdas Bankar, Thara Prabhakaran
Publikováno v:
Geophysical Research Letters, Vol 48, Iss 16, Pp n/a-n/a (2021)
Abstract Surface raindrop size distributions over a rain shadow region during the Indian summer monsoon are clustered using the k‐means algorithm. The rainfall for five dominant clusters has distinct vertical features in polarimetric radar and micr
Externí odkaz:
https://doaj.org/article/f054b34b0d3d43d3b4db85f193832c7a
Publikováno v:
Atmospheric and Oceanic Science Letters, Vol 12, Iss 6, Pp 458-466 (2019)
The number concentrations and drop size distributions (DSDs) of warm-rain hydrometeors play an important role in the simulation of microphysical processes. To evaluate the performance of the WDM6 scheme, which predicts the cloud number concentration
Externí odkaz:
https://doaj.org/article/f275964c3d454cbd92528db255970420
Autor:
Axel Seifert, Stephan Rasp
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 12, Iss 12, Pp n/a-n/a (2020)
Abstract The use of machine learning based on neural networks for cloud microphysical parameterizations is investigated. As an example, we use the warm‐rain formation by collision‐coalescence, that is, the parameterization of autoconversion, accr
Externí odkaz:
https://doaj.org/article/11f5056aa89746fd840cdd112ed1e2ad
Publikováno v:
Atmospheric and Oceanic Science Letters, Vol 11, Iss 6, Pp 472-480 (2018)
The initiation and intensity of warm rain are processes dominated by the evolution of cloud droplet spectra. To treat the cloud condensation process properly is a fundamental step for the simulation of warm rain formation. Double-moment bulk schemes
Externí odkaz:
https://doaj.org/article/d9d006ddae264f4ea0346736b907337f
Publikováno v:
Atmospheric and Oceanic Science Letters, Vol 11, Iss 2, Pp 123-135 (2018)
In the study of warm clouds, there are many outstanding questions. Cloud droplet size distributions are much wider, and warm rain is initiated in a shorter time and with a shallower cloud depth than theoretical expectations. This review summarizes th
Externí odkaz:
https://doaj.org/article/6470eca824b24a6a95f31d944bea5983