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NOAA Hurricane Analysis and Forecast System (HAFS)

agriculture climate meteorological weather

Description

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:

  1. 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](https://www.aoml.noaa.gov/hurricane-model-that-follows-multiple-storms-improves-intensity-forecasts/)

Update Frequency

Event Driven

License

NOAA data disseminated through NODD is made available under the Creative Commons 1.0 Universal Public Domain Dedication (CC0-1.0) license, which is well-known and internationally recognized. There are no restrictions on the use of the data. The data are open to the public and can be used as desired.

NOAA has adopted the Creative Commons license to ensure maximum use of our data, to spur and encourage exploration and innovation throughout the industry. This license is applicable to each of the NOAA datasets made available by NODD. 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.

Documentation

https://wpo.noaa.gov/the-hurricane-analysis-and-forecast-system-hafs/

Managed By

See all datasets managed by NOAA.

Contact

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

How to Cite

NOAA Hurricane Analysis and Forecast System (HAFS) was accessed on DATE from https://registry.opendata.aws/noaa-nws-hafs.

Resources on AWS

  • 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/
    Explore
    Browse Bucket
  • 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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