AndreaBozzo/ceres-open-data-index huggingface dataset:
Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (D02)

**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 marine air intrusion and passage of a cold front. The Weather Research and Forecasting (WRF) model data assimilation system (WRFDA) was used to generate ensemble ICs from the North American Regional Analysis (NARR) for the WRF model initialization. The simulated turbine-height wind speeds were categorized into four types using the self-organizing map (SOM) technique. This work advances understanding of IC uncertainties impacts on wind speed forecasts and locates the high-impact regions.


**Data Details**

This dataset contains 100 ensemble simulation outputs over the WFIP2 study region (inner domain, d02) for the cold-front case. Variables include surface pressure (PSFC), geopotential height (PH), pressure (P), 2-m temperature (T2), and wind speed (U & V) are compressed in a single zip file for each case. The files are named in the format of [var].[timestamp].nc, which contain 100 ensembles in one file.  WRF namelists are also included. The cold-front case is for the time period 2016-08-21 to 2016-08-22.

Tags: 02, a2e, atmosphere-to-electrons, casestudy, coldfront, eere, simulated-wind-speed-and-initial-conditions-over-the-wfip2-region-cold-front-d02, weto, wfip2, wind, wind-forecast-improvement-project-2-model, wrf
Organization: Department of Energy
Simulated wind speed and initial conditions over the WFIP2 region: Cold-front (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 marine air intrusion and passage of a cold front. The Weather Research and Forecasting (WRF) model data assimilation system (WRFDA) was used to generate ensemble ICs from the North American Regional Analysis (NARR) for the WRF model initialization. The simulated turbine-height wind speeds were categorized into four types using the self-organizing map (SOM) technique. This work advances understanding of IC uncertainties impacts on wind speed forecasts and locates the high-impact regions.

**Data Details**

This dataset contains 100 ensemble simulation outputs over the WFIP2 study region (outer domain, d01) for the cold-front case. Variables including surface pressure (PSFC), geopotential height (PH), pressure (P), 2-m temperature (T2), and wind speed (U & V) are compressed in a single zip file for each case. The files are named in the format of [var].[timestamp].nc, which contain 100 ensembles in one file.  WRF namelists are also included. The cold-front case is for the time period 2016-08-21 to 2016-08-22.

Tags: 01, a2e, atmosphere-to-electrons, casestudy, coldfront, eere, simulated-wind-speed-and-initial-conditions-over-the-wfip2-region-cold-front-d01, weto, wfip2, wind, wind-forecast-improvement-project-2-model, wrf
Organization: Department of Energy
OC6 Phase Ia - Nonlinear hydrodynamic loading validation dataset

**Overview**

Two validation campaigns were examined within the Offshore Code Comparison Collaboration, Continued, with Correlation and unCertainty (OC6) Phase 1 project to examine the modeling tools' underprediction of loads and motion of a floating wind semisubmersible (semi) at their surge and pitch natural frequencies.  These campaigns were performed at the Maritime Research Institute Netherlands (MARIN) in 2017 and 2018.  The load cases (LC) considered include:  

LC1 – Load measurements across semi under current loading;  

LC2 - Load measurements across semi under forced surge oscillation;  

LC3 – Load measurements across semi under wave loading, while held fixed;  

LC4 – Free-decay motion measurements in surge, pitch, and heave; and  

LC5 – Motion measurements under wave loading.  

Details on the results from the OC6 Phase Ia project can be found in the reference, “OC6 Phase 1: Investigating the underprediction of low-frequency hydrodynamic loads and responses of floating wind turbines”, J Phys: Conf Series 1618 032033.


**Data Details**

The naming of the datafiles follows the convention: oc6.phase1a.name.loadcase.txt.  The experimental measurements use the name “EXP0”.  Simulation results are also provided from those that participated in the OC6 Phase Ia validation project.  The suffix “.txt” is replaced with “.tot” and “.hyd” and for load cases 1 and 2, representing the total load measurement, and just the hydrodynamic component.  

**Data Quality**

The aim is to provide accurate and high-quality data. Whenever possible, instrumentation is calibrated by the manufacturer and then verified for use. 

**Uncertainty**

A full assessment of the uncertainty in this dataset was performed, and findings were published in the paper, "Total experimental uncertainty in hydrodynamic testing of a semisubmersible wind turbine, considering numerical propagation of
systematic uncertainty," Ocean Engineering 195 (2020) 106605.

Tags: a2e, atmosphere-to-electrons, eere, nonlinear-hydrodynamic-loading-validation-dataset, oc6, oc6-phase-ia, offshore-code-comparison-collaboration-continued-with-correlation-and-uncertainty, phase1a, weto, wind
Organization: Department of Energy
Surface Meteorological Station - BAO West of Tower, Surface - Processed Data

**Overview**

Proving basic surface meteorology, soil hydrology and temperature, and fluxes of energy (radiation and turbulent fluxes) and water (precipitation, evaporation, and soil moisture).

**Data Details**

Contact **David Noone**.


**Data Quality**

This dataset is preliminary and has undergone limited quality control. Basic meteorological quantities have been transcribed to netcdf from raw data logger files. Flux data has been reprocessed using a spectral estimation method with automated spike removal.


**Uncertainty**

Uncertainty on raw data includes instrument calibration and precision. 

Uncertainty on eddy covariance data has not been established for this dataset, but prior work on similar datasets suggests a conservative estimate on sensible and latent heat flux uncertainty of about 20% or 10 W/m2, whichever is larger.

Tags: a0, a2e, atmosphere-to-electrons, bao-west-of-tower-surface, eere, experimental-planetary-boundary-layer-instrumentation-assessment, met, processed-data, surface-meteorological-station, weto, wind, xpia, z01
Organization: Department of Energy
Radar - TTU Ka-band, ka1 - Raw Data

**Overview**

The metadata for each TTUKa1 deployment can be found in the attached spreadsheet. 

Tags: 00, a2e, atmosphere-to-electrons, eere, experimental-planetary-boundary-layer-instrumentation-assessment, radar, raw-data, ttu-ka-band-ka1, weto, wind, xpia, z01
Organization: Department of Energy
Radar - NOAA 449 MHz Wind Profiler with RASS - Raw Data

**Overview**

Monitor real-time profiles of virtual temperature (C), wind speed (ms-1), and direction (deg) few km above ground level.

**Data Details**

Raw files contain radial velocity (ms-1), signal-to-noise ratio (dB), signal power (dB), spectral width (ms-1), and noise amplitude (dB).

"W" files contain hourly profiles of wind speed (ms-1) and direction (deg).

"T" files contain hourly profiles of virtual temperature (C).

Tags: 00, a2e, atmosphere-to-electrons, eere, experimental-planetary-boundary-layer-instrumentation-assessment, noaa-449-mhz-wind-profiler-with-rass, radar, raw-data, weto, wind, xpia, z04
Organization: Department of Energy
Microwave Radiometer - UMBC Microwave Radiometer - Raw Data

**Overview**

Kipp & Zonen Microwave Temperature Profiler (MTP-5) with a 5 min temporal and 50 m vertical resolution. 

Tags: 00, a2e, atmosphere-to-electrons, eere, experimental-planetary-boundary-layer-instrumentation-assessment, microwave-radiometer, mwr, raw-data, umbc-microwave-radiometer, weto, wind, xpia, z03
Organization: Department of Energy
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 channel specified in the configuration file.
lv2 files contain records of real-time retrievals of temperature (K), water vapor (gm-3), relative humidity (%) and liquid water (gm-3) profiles.

Tags: 00, a2e, atmosphere-to-electrons, eere, experimental-planetary-boundary-layer-instrumentation-assessment, microwave-radiometer, mwr, noaa-microwave-radiometer, raw-data, weto, wind, xpia, z02
Organization: Department of Energy
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 channel specified in the configuration file.
lv2 files contain records of real-time retrievals of temperature (K), water vapor (gm-3), relative humidity (%) and liquid water (gm-3) profiles.

Tags: 00, a2e, atmosphere-to-electrons, cu-microwave-radiometer, eere, experimental-planetary-boundary-layer-instrumentation-assessment, microwave-radiometer, mwr, raw-data, weto, wind, xpia, z01
Organization: Department of Energy
Lidar - UT-Dallas WindCube 200S Doppler Lidar - Raw Data

**Overview**

fixed scan against southeast sonic of 50m, 100m and 150m and supersite at 60m height

**Data Quality**

unfiltered data

**Uncertainty**

raw data

**Constraints**




Tags: 00, a2e, atmosphere-to-electrons, eere, experimental-planetary-boundary-layer-instrumentation-assessment, lidar, raw-data, ut-dallas-windcube-200s-doppler-lidar, weto, wind, xpia, z04
Organization: Department of Energy
Lidar - UT-Dallas WindCube 200S Doppler Lidar - Processed Data

**Overview**

fixed scan against southeast sonic of 50m, 100m and 150m and supersite at 60m height

**Data Quality**

unfiltered data

**Uncertainty**

raw data

**Constraints**




Tags: a0, a2e, atmosphere-to-electrons, eere, experimental-planetary-boundary-layer-instrumentation-assessment, lidar, processed-data, ut-dallas-windcube-200s-doppler-lidar, weto, wind, xpia, z04
Organization: Department of Energy
Lidar - UT-Dallas WindCube 200S Doppler Lidar - Derived Data

**Overview**

fixed scan against southeast sonic of 50m, 100m and 150m and supersite at 60m height

**Data Quality**

unfiltered data

**Uncertainty**

raw data

**Constraints**




Tags: a2e, atmosphere-to-electrons, c0, derived-data, eere, experimental-planetary-boundary-layer-instrumentation-assessment, lidar, ut-dallas-windcube-200s-doppler-lidar, weto, wind, xpia, z04
Organization: Department of Energy
Surface Meteorological Station - UND 21m, (3) Sonics 3m 10m 21m, (2) T/RH 3m 21m, Physics site-6 - Reviewed Data

**Overview**

Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.

**Data Details**

T/RH events history is available in the attached Excel file:
*PS01-TRH-3m  
*PS01-TRH-10m  
*PS02-TRH-3m  
*PS06-TRH-3m  
*PS02-TRH-17m  
*PS06-TRH-21m  
*PS11-TRH-3m  
*PS11-TRH-10m  
*PS11-TRH-3m-new

**Data Quality**

The current dataset is the result of processing the raw data (“.00”) with EddyPro v6.2.0 for 15-minute intervals. The dataset contains results and metadata that should fully cover all software settings and options used in data processing. A detailed description is given in the attached *WFIP2 Project: University of Notre Dame Meteorological Towers Quality Controlled Dataset* README file.

Tags: a2e, atmosphere-to-electrons, b0, eere, met, reviewed-data, surface-meteorological-station, und-21m-3-sonics-3m-10m-21m-2-t-rh-3m-21m-physics-site-6, weto, wfip2, wind, wind-forecast-improvement-project-2, z21
Organization: Department of Energy
Surface Meteorological Station - UND 17m, (3) Sonics 3m 10m 17m, (2) T/RH 3m 17m, Physics site-2 - Reviewed Data

**Overview**

Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.

**Data Details**

T/RH events history is available in the attached Excel file:
*PS01-TRH-3m  
*PS01-TRH-10m  
*PS02-TRH-3m  
*PS06-TRH-3m  
*PS02-TRH-17m  
*PS06-TRH-21m  
*PS11-TRH-3m  
*PS11-TRH-10m  
*PS11-TRH-3m-new

**Data Quality**

The current dataset is the result of processing the raw data (“.00”) with EddyPro v6.2.0 for 15-minute intervals. The dataset contains results and metadata that should fully cover all software settings and options used in data processing. A detailed description is given in the attached *WFIP2 Project: University of Notre Dame Meteorological Towers Quality Controlled Dataset* README file.

Tags: a2e, atmosphere-to-electrons, b0, eere, met, reviewed-data, surface-meteorological-station, und-17m-3-sonics-3m-10m-17m-2-t-rh-3m-17m-physics-site-2, weto, wfip2, wind, wind-forecast-improvement-project-2, z19
Organization: Department of Energy
Surface Meteorological Station - UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m, Physics site-11 - Reviewed Data

**Overview**

Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.

**Data Details**

T/RH events history is available in the attached Excel file:
*PS01-TRH-3m  
*PS01-TRH-10m  
*PS02-TRH-3m  
*PS06-TRH-3m  
*PS02-TRH-17m  
*PS06-TRH-21m  
*PS11-TRH-3m  
*PS11-TRH-10m  
*PS11-TRH-3m-new

**Data Quality**

The current dataset is the result of processing the raw data (“.00”) with EddyPro v6.2.0 for 15-minute intervals. The dataset contains results and metadata that should fully cover all software settings and options used in data processing. A detailed description is given in the attached *WFIP2 Project: University of Notre Dame Meteorological Towers Quality Controlled Dataset* README file.

Tags: a2e, atmosphere-to-electrons, b0, eere, met, reviewed-data, surface-meteorological-station, und-10m-2-sonics-3m-10m-2-t-rh-3m-10m-physics-site-11, weto, wfip2, wind, wind-forecast-improvement-project-2, z23
Organization: Department of Energy
Surface Meteorological Station - UND 10m, (2) Sonics 3m 10m, (2) T/RH 3m 10m (1) Licor 3m, Physics site-1 - Reviewed Data

**Overview**

Surface wind, temperature, and turbulence measurements based on three-dimensional (3D) sonic anemometer and temperature/relative humidity (T/RH) data.

**Data Details**

T/RH events history is available in the attached Excel file:
*PS01-TRH-3m  
*PS01-TRH-10m  
*PS02-TRH-3m  
*PS06-TRH-3m  
*PS02-TRH-17m  
*PS06-TRH-21m  
*PS11-TRH-3m  
*PS11-TRH-10m  
*PS11-TRH-3m-new

**Data Quality**

The current dataset is the result of processing the raw data (“.00”) with EddyPro v6.2.0 for 15-minute intervals. The dataset contains results and metadata that should fully cover all software settings and options used in data processing. A detailed description is given in the attached *WFIP2 Project: University of Notre Dame Meteorological Towers Quality Controlled Dataset* README file.

Tags: a2e, atmosphere-to-electrons, b0, eere, met, reviewed-data, surface-meteorological-station, und-10m-2-sonics-3m-10m-2-t-rh-3m-10m-1-licor-3m-physics-site-1, weto, wfip2, wind, wind-forecast-improvement-project-2, z18
Organization: Department of Energy
Surface Meteorological Station - PNNL Short Tower, Umatilla - Reviewed Data

**Overview**

In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon.

**Data Details**

A PNNL computer is used as the base station to download the meteorological data acquired by the data logger at each site via a cellular modem. The data collected will be made available to the National Oceanic and Atmospheric Administration (NOAA) each hour and used to support the short-term forecasting project by providing an independent evaluation of the added value of new data to meteorological forecasts.

Each meteorological station consists of a solar-powered data acquisition system and wind speed, wind direction, temperature, humidity, barometric pressure, and solar radiation sensors on a 3-meter tower. Specifically, the stations comprise the following instruments and equipment:

*  Campbell Scientific CM10 Tripod  
*  Campbell Scientific CR10X Measurement and Control System  
*  R.M. Young 05106 Wind Monitor  
*  Vaisala HMP45C Temperature and Humidity Probe  
*  Vaisala PTB101B Barometric Pressure Sensor  
*  Li-Cor LI200X Pyranometer  

The data logger is used to sample, at 1-second intervals, the horizontal wind speed and direction at 3 meters above ground level (AGL); the air temperature, relative humidity, barometric pressure, and solar radiation at 2 meters AGL; and the logger temperature and power supply. The logger outputs the 1-minute averages of these measurements to final storage and power on the cellular modem, so the data can be retrieved and downloaded to a base-station computer. The data are archived as 1-hour comma-delimited ASCII files (see "Table 2. Format of the WFIP2 Comma-delimited ASCII Data Files" in **wfip2-met-data.pdf**). All dates and times in the file names and data records are in UTC (Coordinated Universal Time) and denote the end of the 1-minute average. Data known to be of bad quality have been replaced with "-9999."

**Data Quality**

Data for each primary measurement at every site are automatically plotted daily and reviewed about every three days. Instrument outages or events are reported with the Instrument and Model Data Problem Log at: <https://drive.google.com/drive/u/0/folders/0BxsU-HyQ5RggOFR0MndhYlFYVGc>. Data known to be of bad quality have been replaced with "-9999."

**Constraints**

None

Tags: a2e, atmosphere-to-electrons, b0, eere, met, pnnl-short-tower-umatilla, reviewed-data, surface-meteorological-station, weto, wfip2, wind, wind-forecast-improvement-project-2, z05
Organization: Department of Energy
Surface Meteorological Station - PNNL Short Tower, Umatilla - Raw Data

**Overview**

In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon. 

**Data Details**

A PNNL computer is used as the base station to download the meteorological data acquired by the data logger at each site via a cellular modem. The data collected will be made available to the National Oceanic and Atmospheric Administration each hour and used to support the short-term forecasting project by providing an independent evaluation of the added value of new data to meteorological forecasts.

Each meteorological station consists of a solar-powered data acquisition system and wind speed, wind direction, temperature, humidity, barometric pressure, and solar radiation sensors on a 3-m tower. Specifically, the stations are comprised of the following instruments and equipment:

*  Campbell Scientific CM6 Tripod  
*  Campbell Scientific CR10X Measurement and Control System  
*  R.M. Young 05106 Wind Monitor  
*  Vaisala HMP45C Temperature and Humidity Probe  
*  Vaisala PTB101B Barometric Pressure Sensor  
*  Li-Cor LI200X Pyranometer  
*  RavenXT Cellular Modem  

The data logger is used to sample, at 1-second intervals, the horizontal wind speed and direction at 3 meters above ground level (AGL); the air temperature, relative humidity, barometric pressure, and solar radiation at 2 meters AGL; and the logger temperature and power supply. The logger outputs the 1-minute averages of these measurements to final storage and power on the cellular modem, so the data can be retrieved and downloaded to a base station computer. The data are archived as 1-hour comma-delimited ASCII files (see "Table 2. Format of the WFIP2 Comma-delimited ASCII Data Files" in **wfip2-met-data.pdf**). All dates and times in the file names and data records are in UTC and denote the end of the 1-minute average.

**Data Quality**

Data for each primary measurement at every site are automatically plotted daily and reviewed about every three days. Instrument outages or events are reported with the Instrument and Model Data Problem Log at: <https://drive.google.com/drive/u/0/folders/0BxsU-HyQ5RggOFR0MndhYlFYVGc>.

Tags: 00, a2e, atmosphere-to-electrons, eere, met, pnnl-short-tower-umatilla, raw-data, surface-meteorological-station, weto, wfip2, wind, wind-forecast-improvement-project-2, z05
Organization: Department of Energy
Surface Meteorological Station - PNNL Short Tower, Rufus - Reviewed Data

**Overview**

In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon.

**Data Details**

A PNNL computer is used as the base station to download the meteorological data acquired by the data logger at each site via a cellular modem. The data collected will be made available to the National Oceanic and Atmospheric Administration (NOAA) each hour and used to support the short-term forecasting project by providing an independent evaluation of the added value of new data to meteorological forecasts.

Each meteorological station consists of a solar-powered data acquisition system and wind speed, wind direction, temperature, humidity, barometric pressure, and solar radiation sensors on a 3-meter tower. Specifically, the stations comprise the following instruments and equipment:

*  Campbell Scientific CM10 Tripod  
*  Campbell Scientific CR10X Measurement and Control System  
*  R.M. Young 05106 Wind Monitor  
*  Vaisala HMP45C Temperature and Humidity Probe  
*  Vaisala PTB101B Barometric Pressure Sensor  
*  Li-Cor LI200X Pyranometer  

The data logger is used to sample, at 1-second intervals, the horizontal wind speed and direction at 3 meters above ground level (AGL); the air temperature, relative humidity, barometric pressure, and solar radiation at 2 meters AGL; and the logger temperature and power supply. The logger outputs the 1-minute averages of these measurements to final storage and power on the cellular modem, so the data can be retrieved and downloaded to a base-station computer. The data are archived as 1-hour comma-delimited ASCII files (see "Table 2. Format of the WFIP2 Comma-delimited ASCII Data Files" in **wfip2-met-data.pdf**). All dates and times in the file names and data records are in UTC (Coordinated Universal Time) and denote the end of the 1-minute average. Data known to be of bad quality have been replaced with "-9999."

**Data Quality**

Data for each primary measurement at every site are automatically plotted daily and reviewed about every three days. Instrument outages or events are reported with the Instrument and Model Data Problem Log at: <https://drive.google.com/drive/u/0/folders/0BxsU-HyQ5RggOFR0MndhYlFYVGc>. Data known to be of bad quality have been replaced with "-9999."

**Constraints**

None

Tags: a2e, atmosphere-to-electrons, b0, eere, met, pnnl-short-tower-rufus, reviewed-data, surface-meteorological-station, weto, wfip2, wind, wind-forecast-improvement-project-2, z03
Organization: Department of Energy