Results 31 to 40 of about 15,935 (307)

Dynamically-based seasonal forecasts of Atlantic tropical storm activity issued in June by EUROSIP [PDF]

open access: yes, 2007
Most seasonal forecasts of Atlantic tropical storm numbers are produced using statistical-empirical models. However, forecasts can also be made using numerical models which encode the laws of physics, here referred to as “dynamical models”.
Huddleston, MR   +19 more
core   +1 more source

Quantifying the cooling effect of tropical cyclone clouds on the climate system

open access: yesnpj Climate and Atmospheric Science, 2023
The net effect on the upwelling radiation caused by tropical cyclone clouds is calculated over a 20-year global data set, and the corresponding contribution to the earth energy balance is analyzed. Tropical cyclone clouds are shown on average to increase
Liang Hu   +2 more
doaj   +1 more source

Impact of Assimilating FY-3D MWTS-2 Upper Air Sounding Data on Forecasting Typhoon Lekima (2019)

open access: yesRemote Sensing, 2021
In this study, the Fengyun-3D (FY-3D) clear-sky microwave temperature sounder-2 (MWTS-2) radiances were directly assimilated in the regional mesoscale Weather Research and Forecasting (WRF) model using the Gridpoint Statistical Interpolation (GSI) data ...
Zeyi Niu   +4 more
doaj   +1 more source

Assimilating FY-4B AGRI Three Water Vapor Channels in Operational Shanghai Typhoon Model (SHTM) Using GSI-Based 3-DVar Approach

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study conducts a one-month parallel experiment to compare the results of the operational Shanghai Typhoon Model with (WV123) and without (CTL) the assimilation of clear-sky brightness temperature from three Fengyun-4B (FY-4B) Advanced Geostationary ...
Zeyi Niu   +7 more
doaj   +1 more source

Typhoon Warm-Core Structures Derived from FY-3D MWTS-2 Observations

open access: yesRemote Sensing, 2021
In this study, the three-dimensional (3D) warm-core structures of the Northwest Pacific typhoons Francisco, Lekima, and Krosa in August 2019 are retrieved from the Fengyun-3D (FY-3D) microwave temperature sounder-2 (MWTS-2) observations of brightness ...
Zeyi Niu, Xiaolei Zou, Wei Huang
doaj   +1 more source

Recommendations for improved tropical cyclone formation and position probabilistic forecast products [PDF]

open access: yes, 2023
Prediction of the potentially devastating impact of landfalling tropical cyclones (TCs) relies substantially on numerical prediction systems. Due to the limited predictability of TCs and the need to express forecast confidence and possible scenarios, it ...
Vigh, Jonathan L.   +21 more
core   +1 more source

Background Error Covariance Matrix Structure and Impact in a Regional Tropical Cyclone Forecasting System

open access: yesRemote Sensing
The background error covariance matrix (BE) is a fundamental component of data assimilation (DA) systems. Its impact on both the DA process and subsequent forecast performance depends on model configuration and the types of observations assimilated ...
Dongliang Wang   +3 more
doaj   +1 more source

Recent poleward shift of tropical cyclone formation linked to Hadley cell expansion [PDF]

open access: yes, 2018
Recent research indicates that the annual-mean locations of tropical cyclones have migrated toward higher latitudes. Concurrently, an anthropogenically forced tropical expansion has been observed, yet the connection between the two processes remains ...
Sur, Sharmila   +5 more
core   +1 more source

Estimation of maximum seasonal tropical cyclone damage in the Atlantic using climate models [PDF]

open access: yes, 2021
There are several different estimates of the observed cyclone damage potential of tropical cyclones based on observations of size, intensity and track.
Lavender, Sally L.   +5 more
core   +1 more source

Improving Typhoon Predictions by Integrating Data‐Driven Machine Learning Model With Physics Model Based on the Spectral Nudging and Data Assimilation

open access: yesEarth and Space Science
The rapid advancement of data‐driven machine learning (ML) models has improved typhoon track forecasts, but challenges remain, such as underestimating typhoon intensity and lacking interpretability. This study introduces an ML‐driven hybrid typhoon model,
Zeyi Niu   +7 more
doaj   +1 more source

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