Integrated machine learning models of event detection and source location identification for fault imaging using raw continuous IBDP microseismic data
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In support of the Wind Forecasting Improvement Project, Pacific Northwest National Laboratory (PNNL) deployed surface meteorological stations in Oregon.
These data contain measurements from a four-component net radiometer, as well as 2-m temperature, pressure, and relative humidity. In addition, soil moisture and temperature measurements and soil heat fluxes are included.
Refer to attached documentation.
The metadata for the TTUKa2 XPIA deployments are included in the attached text file.
Measurements of surface sensible heat flux, momentum flux, wind components, and virtual temperature.
Sounding data from Watertank (site of NOAA's High Resolution Doppler Lidar) for comparison with microwave profilers.
This dataset is used to monitor different atmospheric variables over many levels of the 300-m Boulder Atmospheric Observatory (BAO) tower.
Monitor real-time profiles of virtual temperature (C), wind speed (ms-1), and direction (deg) few km above ground level.
This datset includes collected wind speed and direction from 30 m to 200 m above ground level (AGL) in 10-m range gates.
To provide lower-level wind speed and direction measurements.
The dataset provides wind, temperature, and turbulence measurements.
To provide lower-level wind speed and direction measurements.
To provide lower-level wind speed and direction measurements.
This dataset includes collected wind speed and direction from 30 m to 200 m above ground level (AGL) in 10-m range gates.
These data are for calculating eddy covariance flux measurements.
Monitor real-time profiles of virtual temperature (C), wind speed (ms-1), and direction (deg) few km above ground level.
Monitor real-time profiles of temperature (K), water vapor (gm-3), relative humidity (%) and liquid water (gm-3) up to 10km.