Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Zuhang Wu"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 9, Pp n/a-n/a (2024)
Abstract The physical behavior of a falling raindrop is governed by delicate fluid dynamics and thermodynamics, and oscillates with time. Despite this time‐variant nature, past observational and simulation studies have aimed to generalize parameter
Externí odkaz:
https://doaj.org/article/4ca4c0466aa242028a32664ec1ffa88a
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 15, Pp n/a-n/a (2023)
Abstract Using multi‐satellite observations, the cloud dynamic and microphysical characteristics were revealed during the rapid intensification (RI) of super‐typhoon Nanmadol (2022). As the storm intensifies, the eyewall contracts, the upper‐le
Externí odkaz:
https://doaj.org/article/85f6bc7b6bf3428d97be1a0f0a125cde
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 9, Pp n/a-n/a (2023)
Abstract Raindrops are usually parameterized by oblate spheroids with axis ratios (ARs) determined from projected images. However, the adequacy of representing the 3‐Dimensional (3D) nature of raindrops with their 2‐Dimensional (2D) shadows remai
Externí odkaz:
https://doaj.org/article/f921c0b83e5b44b88b83255811339d44
Publikováno v:
Geophysical Research Letters, Vol 49, Iss 18, Pp n/a-n/a (2022)
Abstract We proposed a method to improve the forecasts of landfalling tropical cyclones (LTCs) by constraining the “cloud physics” with Global Precipitation Measurement (GPM) satellite observations. Eight typical LTCs that are well observed by GP
Externí odkaz:
https://doaj.org/article/d5a36f53670540e9aa0d687c4df57916
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2657 (2023)
Locally-originated typhoons in the South China Sea (SCS) are characterized by long duration, complex track, and high probability of landfall, which tend to cause severe wind, rainstorm, and flood disasters in coastal regions. Therefore, it is of grea
Externí odkaz:
https://doaj.org/article/ac0a8e2fe3944aba87c48b1a1a339a79
Publikováno v:
Remote Sensing, Vol 14, Iss 9, p 2169 (2022)
Typhoon In-Fa hit continental China in July 2021 and caused an unprecedented rainfall amount, making it a typical case to examine the ability of numerical models in forecasting landfalling typhoons. The record-breaking storm was simulated using a 3-k
Externí odkaz:
https://doaj.org/article/2a774ecb761e4fabb8d244f9c18b0805
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 344 (2022)
In July 2021, Typhoon In-Fa attacked eastern China and broke many records for extreme precipitation over the last century. Such an unrivaled impact results from In-Fa’s slow moving speed and long residence time due to atmospheric circulations. With
Externí odkaz:
https://doaj.org/article/7e60581f822d4ee29f00535ced63beab
Publikováno v:
Sensors, Vol 20, Iss 18, p 5257 (2020)
Hydrological calibration of raw weather radar rainfall estimation relies on in situ rainfall measurements. Raindrop size distribution (DSD) was collected during three typical Mei-Yu rainstorms in July 2014 using three particle size velocity (Parsivel
Externí odkaz:
https://doaj.org/article/f17c73c32f52427b9eeac882448a30f3
Publikováno v:
Applied Sciences, Vol 9, Iss 18, p 3802 (2019)
The Mei-Yu front is a significantly important summer precipitation system in eastern Asia. In recent years, anthropogenic air pollution over the Yangtze-Huaihe region of China has been aggravating continuously. A cloud-resolving model coupled with an
Externí odkaz:
https://doaj.org/article/066bd8d42a8247588314c0c0013a9737
Publikováno v:
Water, Vol 11, Iss 6, p 1260 (2019)
In this study, we evaluated the performance of rain-retrieval algorithms for the Version 6 Global Precipitation Measurement Dual-frequency Precipitation Radar (GPM DPR) products, against disdrometer observations and improved their retrieval algorithm
Externí odkaz:
https://doaj.org/article/ea2420445da84714921c8ad33e2eb714