Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Ghassan J. Alaka"'
Autor:
Andrew Hazelton, Ghassan J. Alaka, Lew Gramer, William Ramstrom, Sarah Ditchek, Xiaomin Chen, Bin Liu, Zhan Zhang, Lin Zhu, Weiguo Wang, Biju Thomas, JungHoon Shin, Chuan-Kai Wang, Hyun-Sook Kim, Xuejin Zhang, Avichal Mehra, Frank Marks, Sundararaman Gopalakrishnan
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
During the 2022 hurricane season, real-time forecasts were conducted using an experimental version of the Hurricane Analysis and Forecast System (HAFS). The version of HAFS detailed in this paper (HAFSV0.3S, hereafter HAFS-S) featured the moving nest
Externí odkaz:
https://doaj.org/article/dd05a2f179e3456f9d9cae556028dc4d
Publikováno v:
Atmosphere, Vol 12, Iss 4, p 492 (2021)
The prediction of rapid intensification (RI) in tropical cyclones (TCs) is a challenging problem. In this study, the RI process and factors contributing to it are compared for two TCs: an axis-symmetric case (Hurricane Irma, 2017) and an asymmetric c
Externí odkaz:
https://doaj.org/article/477e1e10867843989312fa37f20b130f
Publikováno v:
Atmosphere, Vol 12, Iss 1, p 93 (2021)
The early stages of a tropical cyclone can be a challenge to forecast, as a storm consolidates and begins to grow based on the local and environmental conditions. A high-resolution ensemble of the Hurricane Analysis and Forecast System (HAFS) is used
Externí odkaz:
https://doaj.org/article/865ca43606cf4fa6a57f6415dd781d7c
Autor:
Ghassan J. Alaka, Dmitry Sheinin, Biju Thomas, Lew Gramer, Zhan Zhang, Bin Liu, Hyun-Sook Kim, Avichal Mehra
Publikováno v:
Atmosphere, Vol 11, Iss 8, p 869 (2020)
The goal of this paper is to introduce a new multi-storm atmosphere/ocean coupling scheme that was implemented and tested in the Basin-Scale Hurricane Weather Research and Forecasting (HWRF-B) model. HWRF-B, an experimental model developed at the Nat
Externí odkaz:
https://doaj.org/article/2577acf200c74c8bb35933f42cd581b0
Publikováno v:
Atmosphere, Vol 11, Iss 6, p 666 (2020)
Rainfall forecast performance was evaluated for the first time for the Hurricane Weather Research and Forecasting (HWRF) model. This study focused on HWRF performance in predicting rainfall from Hurricane Harvey in 2017. In particular, two configurat
Externí odkaz:
https://doaj.org/article/66ed31123e7a4bbb90a4d2f75d5468f7
Publikováno v:
Weather and Forecasting. 38:321-336
Continuous development and evaluation of planetary boundary layer (PBL) parameterizations in hurricane conditions are crucial for improving tropical cyclone (TC) forecasts. A turbulence kinetic energy (TKE)-based eddy-diffusivity mass-flux (EDMF-TKE)
Autor:
Andrew Hazelton, Ghassan J. Alaka, Michael S. Fischer, Ryan Torn, Sundararaman Gopalakrishnan
Publikováno v:
Monthly Weather Review. 151:175-192
Hurricane Dorian (2019), a category-5 tropical cyclone (TC), was characterized by a large spread in track forecasts as it moved northwest. A set of 80 ensemble forecasts from the Hurricane Analysis and Forecast System (HAFS) was produced to evaluate
Publikováno v:
Weather and Forecasting.
This study marks the most comprehensive assessment of the overall impact of dropsondes on tropical cyclone (TC) forecasts to date. We compare two experiments to quantify dropsonde impact: one that assimilated and another that denied dropsonde observa
Publikováno v:
Weather and Forecasting.
This paper introduces a new tool for verifying tropical cyclone (TC) forecasts. Tropical cyclone forecasts made by operational centers and by numericalweather prediction (NWP) models have been objectively verified for decades. Typically, the mean abs
Publikováno v:
Bulletin of the American Meteorological Society. 103:E680-E703
To forecast tropical cyclone (TC) intensity and structure changes with fidelity, numerical weather prediction models must be “high definition,” i.e., horizontal grid spacing ≤ 3 km, so that they permit clouds and convection and resolve sharp gr