Dataset for "Forecasting Coastal Hypoxia Using a Blend of Numeric and Artificial Intelligence Models"

Authors:
Yanda Ou
Owners: Yanda Ou
  • Contributions
    Joined

Type: Resource
Storage: The size of this resource is 1.4 GB
Created: Nov 01, 2023 at 9:04 p.m.
Last updated: Jul 09, 2024 at 10:30 p.m.
Citation: See how to cite this resource
Content types: Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content  Multidimensional Content 
Sharing Status: Public
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Abstract

Dataset (splitted into 14 files due to file size limitation) for training, validating, and evaluating AI model which was developed for daily hypoxia prediction in the Louisiana-Texas shelf. The dateset is derived from a coupled hydrodynamic-biogeochemical model embedded in the Regional Ocean Modeling System. External dataset from three independent hydrodynamic forecast products: HYCOM, NEMO, and FVCOM.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
North Latitude
30.8105°
East Longitude
-87.7307°
South Latitude
27.1777°
West Longitude
-98.0649°

Temporal

Start Date: 05/01/2007
End Date: 08/26/2020
Leaflet Map data © OpenStreetMap contributors

Content

    No files to display.

Data Services

The following web services are available for data contained in this resource. Geospatial Feature and Raster data are made available via Open Geospatial Consortium Web Services. The provided links can be copied and pasted into GIS software to access these data. Multidimensional NetCDF data are made available via a THREDDS Data Server using remote data access protocols such as OPeNDAP. Other data services may be made available in the future to support additional data types.

THREDDS Data Service

https://thredds.hydroshare.org/thredds/catalog/hydroshare/resources/0cc2093cc67543fd82b06d6b5b9c79e4/data/contents/catalog.html

THREDDS Documentation    OPeNDAP Documentation

How to Cite

Ou, Y. (2024). Dataset for "Forecasting Coastal Hypoxia Using a Blend of Numeric and Artificial Intelligence Models", HydroShare, http://www.hydroshare.org/resource/0cc2093cc67543fd82b06d6b5b9c79e4

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

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