
Overview
The last several hurricane seasons have been active with records being set for the number of tropical storms and hurricanes in the Atlantic basin. These record-breaking seasons underscore the importance of accurate hurricane forecasting. Imperative to increased forecasting skill for hurricanes is the development of the Hurricane Forecast Analysis System or HAFS. To accelerate improvements in hurricane forecasting, this project has the following goals:
- To improve the HAFS. The HAFS is NOAA’s next-generation multi-scale numerical model, with data assimilation package and ocean coupling, which will provide an operational analysis and forecast out to seven days, with reliable and skillful guidance on hurricane track and intensity (including rapid intensification), storm size, genesis, storm surge, rainfall and tornadoes associated with hurricanes.
2) To integrate into the Unified Forecasting System(UFS). The UFS is a community-based, coupled comprehensive Earth system modeling system whose numerical applications span local to global domains and predictive time scales from sub-hourly analyses to seasonal predictions. It is designed to support the Weather Enterprise and to be the source system for NOAA’s operational numerical weather prediction applications. The HAFS will be a part of UFS geared for hurricane model applications. HAFS comprises five major components; (a) High-resolution moving nest (b) High-resolution physics (c) Multi-scale data assimilation (DA) (d) 3D ocean coupling, and (e) Observations to support the DA.
[Read about how the storm-following model improves intensity forecasts]()
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- Hurricane Analysis Forecast System (HAFS) Data
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::noaa-nws-hafs-pds
- AWS region
- us-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://noaa-nws-hafs-pds/
- Description
- New data notifications for HAFS, only Lambda and SQS protocols allowed
- Resource type
- SNS topic
- Amazon Resource Name (ARN)
- arn:aws:sns:us-east-1:709902155096:NewHAFSObject
- AWS region
- us-east-1
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For any questions regarding data delivery or any general questions regarding the NOAA Open Data Dissemination (NODD) Program, email the NODD Team at nodd@noaa.gov .
We also seek to identify case studies on how NOAA data is being used and will be featuring those stories in joint publications and in upcoming events. If you are interested in seeing your story highlighted, please share it with the NODD team by emailing nodd@noaa.gov
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How to cite
NOAA Hurricane Analysis and Forecast System (HAFS) was accessed on DATE from https://registry.opendata.aws/noaa-nws-hafs .
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NOAA data disseminated through NODD are open to the public and can be used as desired.
NOAA makes data openly available to ensure maximum use of our data, and to spur and encourage exploration and innovation throughout the industry. NOAA requests attribution for the use or dissemination of unaltered NOAA data. However, it is not permissible to state or imply endorsement by or affiliation with NOAA. If you modify NOAA data, you may not state or imply that it is original, unaltered NOAA data.
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