Multi-Scale Ultra High Resolution (MUR) Sea Surface Temperature (SST)

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

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

fs.listdir("s3://mur-sst/zarr-v1")

Description:

A global, gap-free, gridded, daily 1 km Sea Surface Temperature (SST) dataset created by merging multiple Level-2 satellite SST datasets. Those input datasets include the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 (AMSR-2) on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. Data are available from 2002 to present in Zarr format. The original source of the MUR data is the NASA JPL Physical Oceanography DAAC.

Contact:

A global, gap-free, gridded, daily 1 km Sea Surface Temperature (SST) dataset created by merging multiple Level-2 satellite SST datasets. Those input datasets include the NASA Advanced Microwave Scanning Radiometer-EOS (AMSR-E), the JAXA Advanced Microwave Scanning Radiometer 2 (AMSR-2) on GCOM-W1, the Moderate Resolution Imaging Spectroradiometers (MODIS) on the NASA Aqua and Terra platforms, the US Navy microwave WindSat radiometer, the Advanced Very High Resolution Radiometer (AVHRR) on several NOAA satellites, and in situ SST observations from the NOAA iQuam project. Data are available from 2002 to present in Zarr format. The original source of the MUR data is the NASA JPL Physical Oceanography DAAC.

Update Frequency:

The temporal extent of the Zarr store is 2002-06-01 to 2020-01-20.

Managed By:

https://faralloninstitute.org

Collabs:

• ASDI:
  • Tags: oceans

Resources:

1. resource:
   • Description: MUR Level 4 SST dataset in Zarr format. The zarr-v1/ directory contains a zarr store chunked (5, 1799, 3600) along the dimensions (time, lat, lon).
   • ARN: arn:aws:s3:::mur-sst/zarr-v1
   • Region: us-west-2
   • Type: S3 Bucket

Tags:

aws-pds, earth observation, environmental, natural resource, oceans, satellite imagery, sustainability, climate, water, weather

Tutorials:

1. tutorial:

   • Title: Python Jupyter Notebooks
   • URL: https://github.com/pangeo-gallery/osm2020tutorial
   • AuthorName: Chelle Gentemann, Rich Signell
   • AuthorURL: https://faralloninstitute.org

2. tutorial:

   • Title: Python Reader Software
   • URL: https://podaac-tools.jpl.nasa.gov/drive/files/allData/ghrsst/sw/generic_nc_readers/python/
   • AuthorName: PO.DAAC
   • AuthorURL: https://podaac.jpl.nasa.gov

Tools & Applications:

1. tools & applications:

   • Title: OPeNDAP server
   • URL: https://opendap.jpl.nasa.gov/opendap/OceanTemperature/ghrsst/data/GDS2/L4/GLOB/JPL/MUR/v4.1/contents.html
   • AuthorName: Physical Oceanography Distributed Active Archive Center (PO.DAAC)
   • AuthorURL: https://podaac.jpl.nasa.gov

2. tools & applications:

   • Title: HTTPS server
   • URL: https://podaac-tools.jpl.nasa.gov/drive/files/allData/ghrsst/data/GDS2/L4/GLOB/JPL/MUR/v4.1
   • AuthorName: PO.DAAC
   • AuthorURL: https://podaac.jpl.nasa.gov

3. tools & applications:

   • Title: THREDDS server
   • URL: http://thredds.jpl.nasa.gov/thredds/catalog_ghrsst_gds2.html?dataset=MUR-JPL-L4-GLOB-v4.1
   • AuthorName: PO.DAAC
   • AuthorURL: https://podaac.jpl.nasa.gov

4. tools & applications:

   • Title: Web discovery service
   • URL: https://podaac.jpl.nasa.gov/ws/search/granule/?datasetId=PODAAC-GHGMR-4FJ04
   • AuthorName: PO.DAAC
   • AuthorURL: https://podaac.jpl.nasa.gov

5. tools & applications:

   • Title: State of the Ocean (SOTO) server
   • URL: https://podaac-tools.jpl.nasa.gov/soto
   • AuthorName: PO.DAAC
   • AuthorURL: https://podaac.jpl.nasa.gov

Publication:

1. publication:

   • Title: A multi-scale high-resolution analysis of global sea surface temperature
   • URL: https://doi.org/10.1016/j.rse.2017.07.029
   • AuthorName: Chin, Toshio Michael, Jorge Vazquez-Cuervo, and Edward M. Armstrong

2. publication:

   • Title: GHRSST Data Processing Specification
   • URL: https://podaac-tools.jpl.nasa.gov/drive/files/OceanTemperature/ghrsst/docs/GDS20r5.pdf
   • AuthorName: GHRSST Project

3. publication:

   • Title: Improving our knowledge about the oceans by providing cloud-based access to large datasets
   • URL: https://aws.amazon.com/blogs/publicsector/improving-knowledge-oceans-providing-cloud-based-access-large-datasets/
   • AuthorName: Chelle Gentemann