Search OEDI Data

The measurement of depth of water in oceans, seas, or lakes GEBCO bathymetry gridded data for North Sea / Baltic Sea Derived Data

**Overview** This dataset contains global bathymetry, or water depth, measurements from the General Bathymetric Chart of the Oceans (GEBCO), converted into the format needed for WRF's Pre-processing System (WPS). The data are read in for the use of a depth-dependent water surface...

Hawbecker, P. Wind Energy Technologies Office (WETO)

Dec 31, 2019
1 Resources
0 Stars
Publicly accessible

NREL Global Offshore Wind GIS Data

GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ). Wind resource based on NOAA Blended Sea Winds and monthly wind speed at 30km resolution from 1987-2005, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average >= 10 months o...

Langle, N. and Laboratory, N. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
In curation

California Quality-controlled Reanalysis and Observational Data for Buoy (120), Humboldt / Derived Data

**Overview** This collection provides spatiotemporally paired reanalysis and satellite data to supplement the lidar buoy observations during the California deployments. Point time series of observed and reanalysis data are provided, using inverse distance weighting to geolocate ...

Sheridan, L. Wind Energy Technologies Office (WETO)

Sep 30, 2020
1 Resources
0 Stars
Publicly accessible

California Quality-Controlled Reanalysis and Observational Data for Buoy (130), Morro Bay / Derived Data

Sheridan, L. Wind Energy Technologies Office (WETO)

Sep 30, 2020
1 Resources
0 Stars
Publicly accessible

Simulated wind speed and initial conditions over the WFIP2 region: Sea-breeze (D01)

**Overview** The purpose of this work is to assess the sensitivity of the forecast for turbine height wind speed to initial condition (IC) uncertainties over the Columbia River Gorge and Columbia River Basin for two typical weather phenomena: a local thermal gradient induced by a...

Liu, Y. Wind Energy Technologies Office (WETO)

Aug 15, 2016
1 Resources
0 Stars
Publicly accessible

Simulated wind speed and initial conditions over the WFIP2 region: Sea-breeze (D02)

Liu, Y. Wind Energy Technologies Office (WETO)

Aug 15, 2016
1 Resources
0 Stars
Publicly accessible

Reference Site Condition Datasets for Floating Wind Arrays in the United States

Floating offshore wind farm design is highly site-specific, requiring detailed information about the specific conditions of a project area for realistic design studies. Unfortunately, publicly available site condition data for potential floating offshore wind project sites in the ...

Biglu. . et al National Renewable Energy Laboratory

Aug 02, 2024
4 Resources
0 Stars
Publicly accessible

Quantifying and Monetizing Renewable Energy Resiliency

As part of the seed LDRD in 2017 we generated catastrophe models to look at the value of resiliency from an insurance perspective. These data sets reflect the inputs and outputs of that analysis.

Lisell. . et al National Renewable Energy Laboratory

Mar 13, 2018
3 Resources
0 Stars
Publicly accessible

NREL GIS Data: Global Offshore Wind

GIS data for offshore wind speed (meters/second). Specified to Exclusive Economic Zones (EEZ). Wind resource based on NOAA blended sea winds and monthly wind speed at 30km resolution, using a 0.11 wind sheer to extrapolate 10m 90m. Annual average = 10 months of data, no null...

Langle, N. National Renewable Energy Laboratory

Jul 30, 2014
1 Resources
0 Stars
In curation

Wind Resources in Alaska

Wind resource data for Alaska and southeast Alaska, both high resolution wind resource maps and gridded wind parameters. The two high resolution wind maps are comprised of a grid of cells each containing a single value of average wind speed (m/s) at a hub height of 30, 50, 70, and...

AEDI, A. National Renewable Energy Laboratory

Dec 31, 2006
3 Resources
0 Stars
In curation

Sodar ND Scintec MFAS Wind Profiler with RASS, Rufus Raw Data

**Overview** The data provide vertical mean profiles of wind and temperature. **Data Details** * Data averaged over an interval of 30 minutes. * Time stamp is included in each data file. * Location: John Day/Rufus Water Treatment Plant (45.690842,-120.745751). * Site Elevat...

Fernando, J. et al Wind Energy Technologies Office (WETO)

Dec 01, 2015
1 Resources
0 Stars
Publicly accessible

Global CFDDA-based Onshore and Offshore Wind Potential Supply Curves by Country, Class, and Depth

This dataset contains global onshore and offshore wind supply curves based on a resource assessment performed at the National Renewable Energy Laboratory (NREL) based on the National Center for Atmospheric Research's (NCAR) Climate Four Dimensional Data Assimilation (CFDDA) mesosc...

Sullivan, P. et al National Renewable Energy Laboratory

Nov 25, 2014
2 Resources
1 Stars
Publicly accessible

North and South Dakota High Resolution 50m Wind Resource

Annual average wind resource potential for North and South Dakota at a 50 meter height in a GIS shapefile and links to US national wind resource information tools. This data set was produced and validated by NREL using their WRAM model.

Langle, N. and Lopez, A. National Renewable Energy Laboratory

Nov 25, 2014
4 Resources
0 Stars
Publicly accessible

Bias Corrected NOAA HRRR Wind Resource Data for Grid Integration Applications

To address the need for regularly updated wind resource data, NREL has processed the High-Resolution Rapid Refresh (HRRR) outputs for use in grid integration modeling. The HRRR is an hourly-updated operational forecast product produced by the National Oceanic and Atmospheric Admin...

Buster, G. et al National Renewable Energy Lab (NREL)

Oct 15, 2024
7 Resources
0 Stars
Publicly accessible

Microwave Radiometer CU Radiometrics MWR, Condon Reviewed Data

**Overview** These data monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) up to 10 km. **Data Details** All output files are named automatically using the following format: yyyy-mm-dd_hh-mm-ss_xxx.csv, where yyyy...