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DOE's Water Power Technology Office's (WPTO) US Wave dataset

Stream data with DDA:

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/wpto-pds-us-wave-dataset")

fs.listdir("s3://wpto-pds-us-wave/")

Description:

Released to the public as part of the Department of Energy's Open Energy Data Initiative, this is the highest resolution publicly available long-term wave hindcast dataset that – when complete – will cover the entire U.S. Exclusive Economic Zone (EEZ).

Contact:

Released to the public as part of the Department of Energy's Open Energy Data Initiative, this is the highest resolution publicly available long-term wave hindcast dataset that – when complete – will cover the entire U.S. Exclusive Economic Zone (EEZ).

Update Frequency:

As needed

Managed By:

https://www.nrel.gov/

Collabs:

  • ASDI:
    • Tags: energy

Resources:

  1. resource:
    • Description: DOE's Water Power Technology Office's Wave Hindcast datasets
    • ARN: arn:aws:s3:::wpto-pds-us-wave/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset
  2. resource:
    • Description: 32 Year Wave Hindcast (1979-2010) for the West Coast of the United States at 3-hour temporal resolution and down to 200m spatial resolution in HDF5 format
    • ARN: arn:aws:s3:::wpto-pds-us-wave/v1.0.0/West_Coast/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset
  3. resource:
    • Description: 32 Year Wave Hindcast (1979-2010) for the Pacific Ocean around US state of Hawaii at 3-hour temporal resolution and down to 200m spatial resolution in HDF5 format
    • ARN: arn:aws:s3:::wpto-pds-us-wave/v1.0.0/Hawaii/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset
  4. resource:
    • Description: 32 Year Wave Hindcast (1979-2010) for the Atlantic Coast of the United States at 3-hour temporal resolution and down to 200m spatial resolution in HDF5 format
    • ARN: arn:aws:s3:::wpto-pds-us-wave/v1.0.0/Atlantic/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset
  5. resource:
    • Description: 32 Year Wave Hindcast (1979-2010) from select virtual buoys along the West Coast of the United States with 1-hour temporal resolution and direction wave spectrum data in HDF5 format
    • ARN: arn:aws:s3:::wpto-pds-us-wave/v1.0.0/virtual_buoy/West_Coast/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset
  6. resource:
    • Description: 32 Year Wave Hindcast (1979-2010) from select virtual buoys along the Atlantic Coast of the United States with 1-hour temporal resolution and direction wave spectrum data in HDF5 format
    • ARN: arn:aws:s3:::wpto-pds-us-wave/v1.0.0/virtual_buoy/Atlantic/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset
  7. resource:
    • Description: HSDS US Wave domains
    • ARN: arn:aws:s3:::nrel-pds-hsds/nrel/US_wave/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset
  8. resource:
    • Description: HSDS US Virtual Buoy domains
    • ARN: arn:aws:s3:::nrel-pds-hsds/nrel/US_wave/virtual_buoy/
    • Region: us-west-2
    • Type: S3 Bucket
    • Explore: Browse Dataset

Tags:

aws-pds, earth observation, energy, geospatial, meteorological, water, sustainability

Tools & Applications:

  1. tools & applications:

Publication:

  1. publication:

    • Title: Development and validation of a high-resolution regional wave hindcast model for U.S. West Coast wave resource characterization
    • URL: https://www.osti.gov/biblio/1599105
    • AuthorName: Wu, Wei-Cheng; Wang, Taiping; Yang, Zhaoqing; Garcia Medina, Gabriel
  2. publication:

    • Title: High-Resolution Regional Wave Hindcast for the U.S. West Coast
    • URL: https://www.osti.gov/biblio/1573061/
    • AuthorName: Yang, Zhaoqing; Wu, Wei-Cheng; Wang, Taiping; Castrucci, Luca
  3. publication:

  4. publication:

  5. publication:

  6. publication:

    • Title: Predicting ocean waves along the US East Coast during energetic winter storms: sensitivity to whitecapping parameterizations
    • URL: https://doi.org/10.5194/os-15-691-2019
    • AuthorName: Allahdadi, M.N., He, R., and Neary, V.S
  7. publication:

    • Title: Development and validation of a regional-scale high-resolution unstructured model for wave energy resource characterization along the US East Coast
    • URL: https://doi.org/10.1016/j.renene.2019.01.020
    • AuthorName: Allahdadi, M.N., Gunawan, J. Lai, R. He, V.S. Neary
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About

wpto-pds-us-wave-dataset is originate from the Registry of Open Data on AWS

Collaborators 5

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