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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.

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At least 127 records · Page 7

aafcas.b1

aafcas.a1 datastream merged with nav data

54 ENVIRONMENTAL SCIENCES↗

ARM Navigation Best Estimate 10 Hz (NAVBE) and 1-min (NAVBE1M) Value Added Products (VAP) for Ship Deployments

The Navigation Best Estimate (NAVBE) VAP was developed in response to the 2012-2013 Marine ARM GPCI Investigation of Clouds (MAGIC) deployment, the first ship-based deployment of the second ARM Mobile Facility (AMF2). It has since been applied to the 2015 ARM Cloud Aerosol Precipitation EXperiment (ACAPEX) deployment. A number of different instruments on the ships collected Global Positioning System (GPS) and Inertial Navigation System (INS) measurements during the MAGIC campaign. The motivation of the NAVBE VAP is to consolidate many different sources of this information in a single, continuous datastream to be used when information is required about ship location and orientation and to provide a more complete estimate than would be available from any one instrument. The result is 10 Hz and 1-min data streams reporting ship position and attitude

54 ENVIRONMENTAL SCIENCES↗

Calibrated Radar Wind Profiler Precipitation Observations and Vertical Velocity Retrievals

A radar wind profiler (RWP) data set collected during the 2-year Department of Energy Atmospheric Radiation Measurement (ARM) Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) campaign is used to estimate vertical velocity, designate bulk meteorological echo classification (e.g., convective, stratiform), and provide calibrated radar reflectivity factor Z measurements (calibrated against collocated ground disdrometer and raingauge observations from T3). Additional fields include surface precipitation from rain gauge and ARM InterpolatedSonde streams utilized in the echo classification methods. This dataset follows methods established in Giangrande et al. [2013] and Giangrande et al. [2016] for informing on convective vertical velocities, mass flux and area coverage in Amazon convective cells from ARM RWP systems. If RWP datastreams were unavailable on a given date, files still contain raingauge and InterpolatedSonde information.

54 ENVIRONMENTAL SCIENCES↗

metwxt

New datastream to ingest and store WXT520 Meteorological Instrument System data

54 ENVIRONMENTAL SCIENCES↗

tbswind.a1

tbswind.a1 datastream

54 ENVIRONMENTAL SCIENCES↗

arsclwacr1kolliasshp.c1

WACR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments. WACR ship correction observations are corrected for ship motion (pitch, roll, heave). The corrected WACRSHIPCOR measurements are combined with observations from the micropulse lidar, ceilometer, low-level clutter is identified and removed. The datastream includes best-estimate time-height fields of radar moments.

54 ENVIRONMENTAL SCIENCES↗

arsclwacrbnd1kolliasshp.c1

WACR-ARSCL provides cloud boundaries and best-estimate time-height fields of radar moments. WACR ship correction observations are corrected for ship motion (pitch, roll, heave). The corrected WACRSHIPCOR measurements are combined with observations from the micropulse lidar, ceilometer, low-level clutter is identified and removed. The asiarsclwacrbnd1kolliasM1.c1 datastream contains cloud base and cloud layer boundaries.

54 ENVIRONMENTAL SCIENCES↗

dlfpt.a1

This is one of the output datastreams for Doppler Lidar ingest on motion platform

54 ENVIRONMENTAL SCIENCES↗

dlusr.a1

This is one of the output datastreams for Doppler Lidar ingest on motion platform

54 ENVIRONMENTAL SCIENCES↗

microbasekaplus.c1

This microbasekaplus datastream is produced by re-writed micorbaseka vap (microbasekaplus) in python under ADI framewrok, and added uncertainties for the microphysics. The original Microbase VAP was developed in 2002. The primary purpose of producing this VAP was to provide the required microphysical values for input to the Broad Band Heating Rate Profiles (BBHRP) VAP in order to generate estimations of radiative heating rates. It served the Radiatively Important Parameters Best Estimate (RIBPE) VAP in the capacity of providing baseline cloud microphysical values as input. Microbase produces cloud microphysical properties based on cloud radar measurements taken at all fixed ARM sites.

54 ENVIRONMENTAL SCIENCES↗

arsclwacr1kolliasshp.c0

arsclwacr1kolliasshp provides cloud boundaries and best-estimate time-height fields of uncalibreated radar moments on a ship. The uncalibreated WACR measurements are combined with observations from the micropulse lidar, ceilometer. The asiarsclwacrbnd1kolliasM1.c0 datastream contains cloud base and cloud layer boundaries.

54 ENVIRONMENTAL SCIENCES↗

arsclwacrbnd1kolliasshp.c0

arsclwacrbnd1kolliasshp provides cloud boundaries of radar moments. The uncalibreated WACR measurements are combined with observations from the micropulse lidar, ceilometer. The asiarsclwacrbnd1kolliasM1.c0 datastream contains cloud base and cloud layer boundaries.

54 ENVIRONMENTAL SCIENCES↗

Ka-Band Scanning ARM Cloud Radar (a0)

The Ka-Band Scanning ARM Cloud Radar (KASACR) records cloud properties. ARM's scanning cloud radars are dual-frequency, dual-polarization Doppler radars mounted on a common scanning pedestal. Each pedestal includes a Ka-band radar (2kW peak power) and the deployment location determines whether the second radar is a W-band (1.7 kW peak power) or an X-band (20 kW peak power). Beamwidths for Ka-bands paired with W-bands are roughly matched at 0.3 degrees. The X-band beamwidth is approximately 1 degree. Due to the narrow antenna beamwidth, ARM’s scanning cloud radars use scanning strategies unlike typical weather radars. Rather than focusing on plan position indicator, or PPI, scans, the KASACR uses range height indicator, or RHI, scans at numerous azimuths to obtain cloud volume data. Measurements collected with the KASACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and linear depolarization ratio. KASACR data from the 2018–2019 Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina are now available as b1-level products. Building on the original CACTI operational data, the b1-level products feature improved data quality resulting from extensive analyses and corrections. The data are cross-calibrated to a common point, datastreams are corrected for operational issues that occurred during the campaign, and several data quality masks and basic derived products are incorporated. For more information, read the CACTI radar b1-level processing report.

54 ENVIRONMENTAL SCIENCES↗

Ka ARM Zenith Radar (a0)

The Ka-band ARM Zenith Radar (KAZR) remotely probes the extent and composition of clouds at millimeter wavelengths. The KAZR is a zenith-pointing Doppler radar that operates at a frequency of approximately 35 GHz. The main purpose of this radar is to determine the first three Doppler moments (reflectivity, vertical velocity, and spectral width) at a range resolution of approximately 30 meters from near-ground to nearly 20 kilometers in altitude. The KAZR replaces the millimeter-wavelength cloud radar (MMCR) and uses a new digital receiver that provides higher spatial and temporal resolution than the MMCR. In addition, spectral artifacts in the data are significantly reduced in the KAZR, allowing researchers to study cloud dynamics much more closely than with the MMCR. KAZR data from the 2018–2019 Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina are now available as b1-level products. Building on the original CACTI operational data, the b1-level products feature improved data quality resulting from extensive analyses and corrections. The data are cross-calibrated to a common point, datastreams are corrected for operational issues that occurred during the campaign, and several data quality masks and basic derived products are incorporated. For more information, read the CACTI radar b1-level processing report.

54 ENVIRONMENTAL SCIENCES↗

ARM: KASACRCFRQC

The Ka-Band Scanning ARM Cloud Radar (KASACR) records cloud properties. ARM's scanning cloud radars are dual-frequency, dual-polarization Doppler radars mounted on a common scanning pedestal. Each pedestal includes a Ka-band radar (2kW peak power) and the deployment location determines whether the second radar is a W-band (1.7 kW peak power) or an X-band (20 kW peak power). Beamwidths for Ka-bands paired with W-bands are roughly matched at 0.3 degrees. The X-band beamwidth is approximately 1 degree. Due to the narrow antenna beamwidth, ARM’s scanning cloud radars use scanning strategies unlike typical weather radars. Rather than focusing on plan position indicator, or PPI, scans, the KASACR uses range height indicator, or RHI, scans at numerous azimuths to obtain cloud volume data. Measurements collected with the KASACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and linear depolarization ratio. KASACR data from the 2018–2019 Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina are now available as b1-level products. Building on the original CACTI operational data, the b1-level products feature improved data quality resulting from extensive analyses and corrections. The data are cross-calibrated to a common point, datastreams are corrected for operational issues that occurred during the campaign, and several data quality masks and basic derived products are incorporated. For more information, read the CACTI radar b1-level processing report.

54 ENVIRONMENTAL SCIENCES↗

Ka-Band Scanning ARM Cloud Radar (a1)

The Ka-Band Scanning ARM Cloud Radar (KASACR) records cloud properties. ARM's scanning cloud radars are dual-frequency, dual-polarization Doppler radars mounted on a common scanning pedestal. Each pedestal includes a Ka-band radar (2kW peak power) and the deployment location determines whether the second radar is a W-band (1.7 kW peak power) or an X-band (20 kW peak power). Beamwidths for Ka-bands paired with W-bands are roughly matched at 0.3 degrees. The X-band beamwidth is approximately 1 degree. Due to the narrow antenna beamwidth, ARM’s scanning cloud radars use scanning strategies unlike typical weather radars. Rather than focusing on plan position indicator, or PPI, scans, the KASACR uses range height indicator, or RHI, scans at numerous azimuths to obtain cloud volume data. Measurements collected with the KASACR are copolar and cross-polar radar reflectivity, Doppler velocity, spectra width and spectra when not scanning, and linear depolarization ratio. KASACR data from the 2018–2019 Cloud, Aerosol, and Complex Terrain Interactions (CACTI) field campaign in Argentina are now available as b1-level products. Building on the original CACTI operational data, the b1-level products feature improved data quality resulting from extensive analyses and corrections. The data are cross-calibrated to a common point, datastreams are corrected for operational issues that occurred during the campaign, and several data quality masks and basic derived products are incorporated. For more information, read the CACTI radar b1-level processing report.

54 ENVIRONMENTAL SCIENCES↗