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Surface Meteorological Station HilFlowS LLNL 52m tall tower EOP Processed Data
**Overview**
The WindCube v2 was co-located with Site 300’s 52-m-tall meteorological tower so that measurements below 40 m could also be observed. The meteorological tower has three measurement levels: 10 m, 23 m, and 52 m. Wind speed was measured with a cup anemometer; wind di...
Wharton, S. and , . Wind Energy Technologies Office (WETO)
Jul 07, 2019
1 Resources
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1 Resources
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Microwave Radiometer CU Microwave Radiometer Raw Data
**Overview**
Monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%) and liquid water (gm-3) up to 10km.
**Data Details**
lv0 files contain raw, unprocessed data in engineering units.
lv1 files contain real-time brightness temperatures for each ...
Bianco, L. Wind Energy Technologies Office (WETO)
Mar 08, 2015
1 Resources
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1 Resources
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Publicly accessible
Microwave Radiometer NOAA Microwave Radiometer Raw Data
**Overview**
Monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%) and liquid water (gm-3) up to 10km.
**Data Details**
lv0 files contain raw, unprocessed data in engineering units.
lv1 files contain real-time brightness temperatures for each ...
Bianco, L. Wind Energy Technologies Office (WETO)
Mar 08, 2015
1 Resources
0 Stars
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1 Resources
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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
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1 Resources
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Microwave Radiometer UND Radiometrics MWR, Rufus Reviewed Data
**Overview**
Reviewed dataset that also includes post-reprocessed level1 and level2 data files from November 2015 to May 2016 (refer to "Additional Information").
Monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%), and liquid water (gm-3) u...
Leo, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
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1 Resources
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Develop and verify soil/structure interaction for pile/foundation interaction
**Overview**
Phase II of the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) project was used to verify the implementation of a new soil-structure interaction (SSI) model for use within offshore wind turbine modeling software. The REDWIN...
Robertson, A. Wind Energy Technologies Office (WETO)
Jun 02, 2022
1 Resources
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1 Resources
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Microwave Radiometer CU Radiometrics MWR, Condon Raw 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...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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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...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Microwave Radiometer ESRL Radiometrics MWR, Troutdale Raw 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...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
Publicly accessible
Microwave Radiometer ESRL Radiometrics MWR, Troutdale 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...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Microwave Radiometer ESRL Radiometrics MWR, Wasco Airport Raw 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...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
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Publicly accessible
Microwave Radiometer ESRL Radiometrics MWR, Wasco Airport 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...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
Publicly accessible
1 Resources
0 Stars
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Microwave Radiometer UND Radiometrics MWR, Rufus Raw 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...
Bianco, L. Wind Energy Technologies Office (WETO)
Nov 18, 2015
1 Resources
0 Stars
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1 Resources
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 13, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Surface Meteorological Station UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 Raw Data
**Overview**
The data included features wind, temperature, and turbulence measurements.
**Data Details**
Each met station (met.z18, met.z19, met.z21, and met.z23) consists of multiple levels of three-dimensional ultrasonic anemometers, RM Young 81000 (sampling frequency = 20 ...
Fernando, J. et al Wind Energy Technologies Office (WETO)
Feb 14, 2016
1 Resources
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1 Resources
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Lidar NOAA High Resolution Doppler Lidar (HRDL) Raw Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
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1 Resources
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Lidar NOAA High Resolution Doppler Lidar (HRDL) Derived Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
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1 Resources
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Lidar NOAA High Resolution Doppler Lidar (HRDL) Processed Data
**Data Details**
HRDL Water Tank: Lat (40.041), Lon (-105), Alt (1602m)
Brewer, A. Wind Energy Technologies Office (WETO)
Mar 01, 2015
1 Resources
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1 Resources
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Lidar UMBC WindCube 200S Doppler Lidar Derived Data
**Data Details**
UMBC Lidar:
Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416
NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428
Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
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1 Resources
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Lidar UMBC WindCube 200S Doppler Lidar Processed Data
**Data Details**
UMBC Lidar:
Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416
NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428
Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
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1 Resources
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Lidar UMBC WindCube 200S Doppler Lidar Raw Data
**Data Details**
UMBC Lidar:
Water Tank: lat(40.041) lon(-105) alt(1602) 20150410-20150416
NW Pad: lat(40.051) lon(-105) alt(1578) 20150416-20150428
Visitor's Center: lat(40.045) lon(-105) alt(1587) 20150428 20150502
Brewer, A. Wind Energy Technologies Office (WETO)
Apr 09, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_esrl.graphics.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Dec 14, 2015
1 Resources
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1 Resources
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wfip2.model/realtime.hrrr_esrl.icbc.01
**Overview**
The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the ph...
Macduff, M. Wind Energy Technologies Office (WETO)
Dec 01, 2015
1 Resources
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1 Resources
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