NOAA Global Ensemble Forecast System (GEFS) Re-forecast

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/noaa-gefs-reforecast-dataset")

fs.listdir("s3://noaa-gefs-retrospective")

Description:

NOAA has generated a multi-decadal reanalysis and reforecast data set to accompany the next-generation version of its ensemble prediction system, the Global Ensemble Forecast System, version 12 (GEFSv12). Accompanying the real-time forecasts are “reforecasts” of the weather, that is, retrospective forecasts spanning the period 2000-2019. These reforecasts are not as numerous as the real-time data; they were generated only once per day, from 00 UTC initial conditions, and only 5 members were provided, with the following exception. Once weekly, an 11-member reforecast was generated, and these extend in lead time to +35 days.

Contact:

NOAA has generated a multi-decadal reanalysis and reforecast data set to accompany the next-generation version of its ensemble prediction system, the Global Ensemble Forecast System, version 12 (GEFSv12). Accompanying the real-time forecasts are “reforecasts” of the weather, that is, retrospective forecasts spanning the period 2000-2019. These reforecasts are not as numerous as the real-time data; they were generated only once per day, from 00 UTC initial conditions, and only 5 members were provided, with the following exception. Once weekly, an 11-member reforecast was generated, and these extend in lead time to +35 days.

Update Frequency:

Re-forecasts do not adhere to an update frequency.

Managed By:

http://www.noaa.gov/

Collabs:

• ASDI:
  • Tags: weather

Resources:

1. resource:
   • Description: GEFS Re-forecast in Grib2 Format
   • ARN: arn:aws:s3:::noaa-gefs-retrospective
   • Region: us-east-1
   • Type: S3 Bucket
   • Explore: Browse Bucket

Tags:

aws-pds, agriculture, climate, meteorological, sustainability, weather

Tutorials:

1. tutorial:

   • Title: Example using GEFS Reforecast Data from AWS
   • URL: https://github.com/vgensini/gefs_v12_example/blob/master/GEFS_v12_eample.ipynb
   • AuthorName: Victor Gensini
   • AuthorURL: https://atlas.niu.edu

2. tutorial:

   • Title: Retrospective Dissertation - Part 3: Reforecast Data
   • URL: https://mogismog.github.io/retro-diss-part-3.html#retro-diss-part-3
   • AuthorName: Francisco Alvarez
   • AuthorURL: https://github.com/mogismog

Publication:

1. publication:
   • Title: The GEFS v12 and its reanalyses and reforecasts (Slides)
   • URL: https://drive.google.com/file/d/1lCIB3qz9S1nu2qAaetnLq0N5ReyTXuHd/view
   • AuthorName: Tom Hamill