Tropical cyclone forecast model
View article: A regional high resolution AI weather model for the prediction of atmospheric rivers and extreme precipitation
A regional high resolution AI weather model for the prediction of atmospheric rivers and extreme precipitation Open
Accurate precipitation forecasting often relies on high-resolution numerical weather prediction (NWP) models, which are essential for capturing fine-scale and nonlinear atmospheric dynamics. However, the computational demands of these mode…
View article: From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones
From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones Open
Power outages caused by tropical cyclones (TCs) pose serious risks to electric power systems and the communities they serve. Accurate, high-resolution outage forecasting is essential for enabling both proactive mitigation planning and real…
View article: From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones
From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones Open
Power outages caused by tropical cyclones (TCs) pose serious risks to electric power systems and the communities they serve. Accurate, high-resolution outage forecasting is essential for enabling both proactive mitigation planning and real…
View article: ConvLSTM-based tropical cyclone intensity estimation and classification using satellite imagery over the North Indian ocean
ConvLSTM-based tropical cyclone intensity estimation and classification using satellite imagery over the North Indian ocean Open
Tropical cyclones pose significant threats to coastal regions, and have a major negative influence on the environment and society. Precise cyclone identification and intensity estimation are crucial for effective early warning systems and …
View article: pone.0330705.t008 -
pone.0330705.t008 - Open
Tropical cyclones pose significant threats to coastal regions, and have a major negative influence on the environment and society. Precise cyclone identification and intensity estimation are crucial for effective early warning systems and…
View article: pone.0330705.t007 -
pone.0330705.t007 - Open
Tropical cyclones pose significant threats to coastal regions, and have a major negative influence on the environment and society. Precise cyclone identification and intensity estimation are crucial for effective early warning systems and…
View article: pone.0330705.t006 -
pone.0330705.t006 - Open
Tropical cyclones pose significant threats to coastal regions, and have a major negative influence on the environment and society. Precise cyclone identification and intensity estimation are crucial for effective early warning systems and…
View article: Data for "Observation-driven correction of numerical weather prediction for marine winds" (Earth-Intelligence-Lab/marine-wind-forecasting)
Data for "Observation-driven correction of numerical weather prediction for marine winds" (Earth-Intelligence-Lab/marine-wind-forecasting) Open
This repository contains the data for the paper "Observation-driven correction of numerical weather prediction for marine winds" submitted to JGR: Machine Learning and Computation. The paper presents a transformer-based approach that refor…
View article: Data for "Observation-driven correction of numerical weather prediction for marine winds" (Earth-Intelligence-Lab/marine-wind-forecasting)
Data for "Observation-driven correction of numerical weather prediction for marine winds" (Earth-Intelligence-Lab/marine-wind-forecasting) Open
This repository contains the data for the paper "Observation-driven correction of numerical weather prediction for marine winds" submitted to JGR: Machine Learning and Computation. The paper presents a transformer-based approach that refor…
View article: UPSurgeML Model Data for "Cross-scale Probabilistic Storm Surge and Tide Forecasts: Impacts of Tropical Cyclone Wind Field Structure"
UPSurgeML Model Data for "Cross-scale Probabilistic Storm Surge and Tide Forecasts: Impacts of Tropical Cyclone Wind Field Structure" Open
UPSurgeML model output data and perturbation information is provided to reproduce the analysis in the article: "Cross-scale Probabilistic Storm Surge and Tide Forecasts: Impacts of Tropical Cyclone Wind Field Structure". There are a total …
View article: FAIRsharing record for: Tropical Cyclone Information System
FAIRsharing record for: Tropical Cyclone Information System Open
This FAIRsharing record describes: The JPL Tropical Cyclone Information System is being actively developed to help scientists improve their understanding and forecasting of hurricanes. It has two components: a set of near real-time portals…
View article: UPSurgeML Model Data for "Cross-scale Probabilistic Storm Surge and Tide Forecasts: Impacts of Tropical Cyclone Wind Field Structure"
UPSurgeML Model Data for "Cross-scale Probabilistic Storm Surge and Tide Forecasts: Impacts of Tropical Cyclone Wind Field Structure" Open
UPSurgeML model output data and perturbation information is provided to reproduce the analysis in the article: "Cross-scale Probabilistic Storm Surge and Tide Forecasts: Impacts of Tropical Cyclone Wind Field Structure". There are a total …
View article: Climatological benchmarking of AI-generated tropical cyclones
Climatological benchmarking of AI-generated tropical cyclones Open
This study presents a comprehensive climatological benchmarking of tropical cyclones (TCs) generated by AI-based global weather prediction models. Using all TC events from the North Atlantic and Western Pacific basins between 2020 and 2025…
View article: Climatological benchmarking of AI-generated tropical cyclones
Climatological benchmarking of AI-generated tropical cyclones Open
This study presents a comprehensive climatological benchmarking of tropical cyclones (TCs) generated by AI-based global weather prediction models. Using all TC events from the North Atlantic and Western Pacific basins between 2020 and 2025…
View article: Equatorial storm surge risks revealed by the 2001 tropical cyclone Vamei
Equatorial storm surge risks revealed by the 2001 tropical cyclone Vamei Open
Tropical Cyclone Vamei, which emerged at 1.5° N on December 27, 2001, challenged the prevailing idea that near-equatorial areas are safe from storm surges, as it resulted in localised flooding in Singapore and Malaysia, revealing a rare ye…
View article: Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts Open
Improving the skill of medium-range (3–8 day) severe weather prediction is crucial for mitigating societal impacts. This study introduces a novel approach leveraging decoder-only transformer networks to post-process AI-based weather foreca…
View article: Ensemble random forest for tropical cyclone tracking
Ensemble random forest for tropical cyclone tracking Open
Even though tropical cyclones (TCs) are well documented during the intense part of their lifecycle until they weaken, many physical and statistical properties governing them are not well captured by gridded reanalysis or simulated by Earth…
View article: Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model Open
View article: Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model Open
View article: Assessment of Pangu-Weather Machine Learning and NCEP GFS Dynamical Model over South Asia
Assessment of Pangu-Weather Machine Learning and NCEP GFS Dynamical Model over South Asia Open
This study aims to evaluate the Pangu-Weather machine learning (ML) model against the operational numerical weather prediction (NWP) model of the National Centres for Environmental Prediction Global Forecast System (NCEP GFS). The initiali…
View article: Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model Open
View article: Operational Downscaled Prediction for Tropical Cyclone by Combining Satellite Observations and AI Weather Models
Operational Downscaled Prediction for Tropical Cyclone by Combining Satellite Observations and AI Weather Models Open
This software contains the deep learning-based downscaling method that can enhance the spatial resolution of wind field prediction from AI weather models for tropica cyclones. We also include an example of Aurora wind prediction that is in…
View article: Operational Downscaled Prediction for Tropical Cyclone by Combining Satellite Observations and AI Weather Models
Operational Downscaled Prediction for Tropical Cyclone by Combining Satellite Observations and AI Weather Models Open
This software contains the deep learning-based downscaling method that can enhance the spatial resolution of wind field prediction from AI weather models for tropica cyclones. We also include an example of Aurora wind prediction that is in…
View article: Ensemble forecasts of isolated and compound wind and precipitation extremes in Europe using HC-SWG (v3.1) and MA-SWG (v1.1) Stochastic Weather Generators
Ensemble forecasts of isolated and compound wind and precipitation extremes in Europe using HC-SWG (v3.1) and MA-SWG (v1.1) Stochastic Weather Generators Open
Ensemble forecasts of extreme wind and precipitation provide essential information for early warning systems. In this study, we present two forecasting approaches that combine a stochastic weather generator (SWG) with atmospheric circulati…
View article: Prediction of tropical cyclone in Bangladesh using ENSO index through ensemble learning technique
Prediction of tropical cyclone in Bangladesh using ENSO index through ensemble learning technique Open
Tropical cyclones have catastrophic impacts on life and infrastructure in many places on the earth. Accurate prediction is therefore crucial for cyclone-prone regions like Bangladesh. This study employs an ensemble learning approach to pre…
View article: A Space-Time Transformer for Precipitation Forecasting
A Space-Time Transformer for Precipitation Forecasting Open
Meteorological agencies around the world rely on real-time flood guidance to issue live-saving advisories and warnings. For decades traditional numerical weather prediction (NWP) models have been state-of-the-art for precipitation forecast…
View article: A Space-Time Transformer for Precipitation Forecasting
A Space-Time Transformer for Precipitation Forecasting Open
Meteorological agencies around the world rely on real-time flood guidance to issue live-saving advisories and warnings. For decades traditional numerical weather prediction (NWP) models have been state-of-the-art for precipitation forecast…
View article: SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformer
SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformer Open
With the advancement of meteorological instruments, abundant data has become available. Current approaches are typically focus on single-variable, single-region tasks and primarily rely on deterministic modeling. This limits unified synthe…
View article: Improving storm surge predictions in the Gulf of Mexico by enhancing a parametric model of tropical cyclone
Improving storm surge predictions in the Gulf of Mexico by enhancing a parametric model of tropical cyclone Open
View article: SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformer
SynWeather: Weather Observation Data Synthesis across Multiple Regions and Variables via a General Diffusion Transformer Open
With the advancement of meteorological instruments, abundant data has become available. Current approaches are typically focus on single-variable, single-region tasks and primarily rely on deterministic modeling. This limits unified synthe…