National Geospatial-Intelligence Agency (NGA) Calibration Target Placements during HI-SCALE (Holistic Interactions of Shallow Clouds, Aerosols, and Land-Ecosystems)Andrew Kalukin & Satashi Endo
Test the feasibility of incorporating atmospheric models to improve simulation algorithms of image collection, developed at NGA. Various calibration objects will be used to compare simulated image products with real image products.
Derived: Cloud Optical Properties from MFRSR, MWR, Langley Analysis
KAZRARSCL: cloud boundaries from first Kollias algorithm
Infrared Thermometer: Sky brightness temperature
Single-Column Model (SCM) Forcing Data are derived from the ARM facility observational data using the constrained variational analysis approach (Zhang and Lin 1997 and Zhang et al., 2001). The resulting products include both the large-scale forcing terms and the evaluation fields, which can be used for driving the SCMs and Cloud Resolving Models (CRMs) and validating model simulations.
G-band (183 GHz) Vapor Radiometer
W-Band Scanning ARM Cloud Radar (W-SACR) PPI Scan
ARSCL: derived, MMCR Mode 4 (precipitation mode) moments (version 11/2006)
ARSCL: derived, MMCR Mode 6 (cross-polarized mode) moments
ARSCL: derived, MMCR Mode 2 (cirrus mode) moments, 20040415 version
The objective of the ARM Broadband Heating Rate Profile (BBHRP) Project is to provide a structure for the comprehensive assessment of our ability to model atmospheric radiative transfer for all conditions. Required inputs to BBHRP include surface albedo and profiles of atmospheric state (temperature, humidity), gas concentrations, aerosol properties, and cloud properties. In the past year, the Radiatively Important Parameters Best Estimate (RIPBE) VAP was developed to combine all of the input properties needed for...
The wsacr PCM process executed by the sacr3 binary reads in wsacr.00 data and produces CF/Radial compliant NetCDF files for each of the radar operational scanning modes. This incorporates raw data from the radar, as well as scientifically important base derived parameters that affect interpretation of the data.
C Scanning ARM Precipitation Radar (CSAPR); Hemispherical Sky RHI Scan
Aerosol Best Estimate, from 1st Turner algorithm
The kazr2spec process ingests KAZR spectra, retaining only spectra associated with significant radar detections.
Infrared Thermometer: Ground surface temperature averaged 60-sec at 10-meter height
Data were collected to characterize the emissions of biomass burns and the evolution of aerosols down wind of these events. Data includes preflight, flight and some post flight data of processed data. All calibrations and zeros have been removed. Best available calibration factors have been applied. Zero baselines have been subtracted.
AOS: 3 wavelength Particle Soot Absorption Photometer
915-MHz Radar Wind Profiler/RASS (RWP915): low power, consensus wind data
W-Band Scanning ARM Cloud Radar Corrected (W-SACR) Along-Wind RHI Scan
We collected rapid (1 second time response) measurements of aerosol chemical composition (ug/m3) of biomass burning plumes (including wild fires and controlled agricultural burns) sampled on the DOE G1 aircraft during the 2013 Biomass Burning Observation Project (BBOP) using the Soot Particle Aerosol Mass Spectrometer (SP-AMS) developed and deployed by Aerodyne Research, Inc.