Fu**: A cascade machine learning forecasting system for 15-day global weather forecast

L Chen, X Zhong, F Zhang, Y Cheng, Y Xu… - npj Climate and …, 2023 - nature.com
Over the past few years, the rapid development of machine learning (ML) models for
weather forecasting has led to state-of-the-art ML models that have superior performance …

Recent advancements for tropical cyclone data assimilation

H Christophersen, J Sippel, A Aksoy… - Annals of the New …, 2022 - Wiley Online Library
In this review, data assimilation (DA) techniques used for tropical cyclones (TCs) are briefly
overviewed. The strength and weakness of variational methods, ensemble methods, hybrid …

Multiscale forecasting of high-impact weather: current status and future challenges

SJ Majumdar, J Sun, B Golding, P Joe… - Bulletin of the …, 2021 - journals.ametsoc.org
Improving the forecasting and communication of weather hazards such as urban floods and
extreme winds has been recognized by the World Meteorological Organization (WMO) as a …

Evaluation of five global AI models for predicting weather in Eastern Asia and Western Pacific

CC Liu, K Hsu, MS Peng, DS Chen, PL Chang… - npj Climate and …, 2024 - nature.com
Recent development of artificial intelligence (AI) technology has resulted in the fruition of
machine learning-based weather prediction (MLWP) systems. Five prominent global MLWP …

Impact of stochastic physics and model resolution on the simulation of tropical cyclones in climate GCMs

PL Vidale, K Hodges, B Vannière, P Davini… - Journal of …, 2021 - journals.ametsoc.org
The role of model resolution in simulating geophysical vortices with the characteristics of
realistic tropical cyclones (TCs) is well established. The push for increasing resolution …

Short-term prediction of the intensity and track of tropical cyclone via ConvLSTM model

B Tong, X Wang, JY Fu, PW Chan, YC He - Journal of Wind Engineering …, 2022 - Elsevier
As one of the most destructive natural disasters, Tropical Cyclone (TC) can cause severe
casualties and economic losses almost every year in TC-prone areas. For the prevention …

Tropical cyclones in global storm-resolving models

F Judt, D Klocke, R Rios-Berrios, B Vanniere… - Journal of the …, 2021 - jstage.jst.go.jp
Recent progress in computing and model development has initiated the era of global storm-
resolving modeling, and with it the potential to transform weather and climate prediction …

[HTML][HTML] Accomplishments of NOAA's airborne hurricane field program and a broader future approach to forecast improvement

J Zawislak, RF Rogers, SD Aberson… - Bulletin of the …, 2022 - journals.ametsoc.org
Since 2005, NOAA has conducted the annual Intensity Forecasting Experiment (IFEX), led
by scientists from the Hurricane Research Division at NOAA's Atlantic Oceanographic and …

The Impact of a Reduced High‐Wind Charnock Parameter on Wave Growth With Application to the North Sea, the Norwegian Sea, and the Arctic Ocean

Ø Breivik, A Carrasco, H Haakenstad… - Journal of …, 2022 - Wiley Online Library
As atmospheric models move to higher resolution and resolve smaller scales, the maximum
modeled wind speed also tends to increase. Wave models tuned to coarser wind fields tend …

Advancements in hurricane prediction with NOAA's next‐generation forecast system

JH Chen, SJ Lin, L Magnusson… - Geophysical …, 2019 - Wiley Online Library
We use the fvGFS model developed at the Geophysical Fluid Dynamics Laboratory to
demonstrate the potential of the upcoming United States Next‐Generation Global Prediction …