NOAA North American Mesoscale Forecast System (NAM)

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

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

fs.listdir("s3://noaa-nam-pds")

Description:

The North American Mesoscale Forecast System (NAM) is one of the National Centers For Environmental Prediction’s (NCEP) major models for producing weather forecasts. NAM generates multiple grids (or domains) of weather forecasts over the North American continent at various horizontal resolutions. Each grid contains data for dozens of weather parameters, including temperature, precipitation, lightning, and turbulent kinetic energy. NAM uses additional numerical weather models to generate high-resolution forecasts over fixed regions, and occasionally to follow significant weather events like hurricanes.

Contact:

The North American Mesoscale Forecast System (NAM) is one of the National Centers For Environmental Prediction’s (NCEP) major models for producing weather forecasts. NAM generates multiple grids (or domains) of weather forecasts over the North American continent at various horizontal resolutions. Each grid contains data for dozens of weather parameters, including temperature, precipitation, lightning, and turbulent kinetic energy. NAM uses additional numerical weather models to generate high-resolution forecasts over fixed regions, and occasionally to follow significant weather events like hurricanes.

Update Frequency:

Four times daily (0000, 0600, 1200, and 1800 UTC)

Managed By:

http://www.noaa.gov/

Collabs:

• ASDI:
  • Tags: weather

Resources:

1. resource:
   • Description: North American Mesoscale Forecast System (NAM) Data
   • ARN: arn:aws:s3:::noaa-nam-pds
   • Region: us-east-1
   • Type: S3 Bucket
   • Explore: Browse Bucket
2. resource:
   • Description: New data notifications for NAM data, only Lambda and SQS protocols allowed
   • ARN: arn:aws:sns:us-east-1:123901341784:NewNCEPNAMObject
   • Region: us-east-1
   • Type: SNS Topic

Tags:

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