kazrarscl > Active Remote Sensing of CLouds (ARSCL) product using Ka-band ARM Zenith RadarsVAP Type(s) > Baseline • Evaluation

The KAZRARSCL VAP provides cloud boundaries and best-estimate time-height fields of radar moments. The VAP merges corrected KAZR moments from all active radar modes with cloud base and cloud mask observations from the micropulse lidar (MPL), cloud base from the ceilometer, and information from soundings, rain gauge, and microwave radiometer instruments to produce two datastreams, one with best-estimate cloud base and cloud layer boundaries, and another that also includes best-estimate time-height fields of radar moments.

For more details, read the Active Remote Sensing of Clouds (ARSCL) Value-Added Product (VAP) technical report.

Purpose

The data set provides cloud boundaries and best-estimate radar moments.  These can be used to improve our understanding of cloud processes and in turn lead to improvements in climate and earth system models.

Measurements

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Data Details

Developed By Karen Johnson | Scott Giangrande
Contact Karen Johnson
Resource(s) Data Directory
ReadMe
Data format netCDF
Site ENA
OLI
Content time range 18 January 2011 - 31 March 2021
Attribute accuracy No formal attribute accuracy tests were conducted
Positional accuracy No formal positional accuracy tests were conducted
Data Consistency and Completeness Data set is considered complete for the information presented, as described in the abstract.Users are advised to read the rest of the metadata record carefully for additional details.
Access Restriction No access constraints are associated with this data.
Use Restriction No use constraints are associated with this data.
File naming convention Standard ARM naming convention: sss arsclkazr1kollias FF . dl . yyyymmdd . hhmmss .nc and sss arsclkazrbnd1kollias FF . dl . yyyymmdd . hhmmss .nc
Directory Organization no sub-directories

2021

Varble A, S Nesbitt, P Salio, J Hardin, N Bharadwaj, P Borque, P DeMott, Z Feng, T Hill, J Marquis, A Matthews, F Mei, R Öktem, V Castro, L Goldberger, A Hunzinger, K Barry, S Kreidenweis, G McFarquhar, L McMurdie, M Pekour, H Powers, D Romps, C Saulo, B Schmid, J Tomlinson, S van den Heever, A Zelenyuk, Z Zhang, and E Zipser. 2021. "Utilizing a Storm-Generating Hotspot to Study Convective Cloud Transitions: The CACTI Experiment." Bulletin of the American Meteorological Society, , 10.1175/BAMS-D-20-0030.1. ONLINE.

Van Weverberg K, C Morcrette, I Boutle, K Furtado, and P Field. 2021. "A Bimodal Diagnostic Cloud Fraction Parameterization. Part I: Motivating Analysis and Scheme Description." Monthly Weather Review, 149(3), 10.1175/MWR-D-20-0224.1.
Research Highlight

Van Weverberg K, C Morcrette, and I Boutle. 2021. "A Bimodal Diagnostic Cloud Fraction Parameterization. Part II: Evaluation and Resolution Sensitivity." Monthly Weather Review, 149(3), 10.1175/MWR-D-20-0230.1.
Research Highlight

Fitch K, C Hang, A Talaei, and T Garrett. 2021. "Arctic observations and numerical simulations of surface wind effects on Multi-Angle Snowflake Camera measurements." Atmospheric Measurement Techniques, 14(2), 10.5194/amt-14-1127-2021.

Dorsey KS, R Jundt, CB Ireland, MR Wasem, RA Stafford, and A Hunzinger. 2021. 2020 Atmospheric Radiation Measurement (ARM) Annual Report. Ed. by Kathryn Dorsey, U.S. Department of Energy. DOE/SC-ARM-20-020.

Geerts B, G McFarquhar, L Xue, M Jensen, P Kollias, M Ovchinnikov, M Shupe, P DeMott, Y Wang, M Tjernstrom, P Field, S Abel, T Spengler, R Neggers, S Crewell, M Wendisch, and C Lupkes. 2021. Cold-Air Outbreaks in the Marine Boundary Layer Experiment (COMBLE) Field Campaign Report. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-21-001.

2018

Chen X, X Huang, X Dong, B Xi, E Dolinar, N Loeb, S Kato, P Stackhouse, and M Bosilovich. 2018. "Using AIRS and ARM SGP Clear-Sky Observations to Evaluate Meteorological Reanalyses: A Hyperspectral Radiance Closure Approach." Journal of Geophysical Research: Atmospheres, 123(20), 10.1029/2018JD028850.

Lamer K, A Fridlind, A Ackerman, P Kollias, E Clothiaux, and M Kelley. 2018. "(GO)2-SIM: a GCM-oriented ground-observation forward-simulator framework for objective evaluation of cloud and precipitation phase." Geoscientific Model Development, 11(10), 10.5194/gmd-11-4195-2018.
Research Highlight

Kassianov E, EA Riley, JM Kleiss, L Riihimaki, CN Long, V Morris, and LK Berg. 2018. Shallow cumulus macrophysical properties at midcontinental US site: integrated multiyear active and passive observations. In 23th Remote SEnsing of Clouds and the Atmosphere. SPIE, Ed. by A Comeron, et al, Bellingham, WA: SPIE.

Van Weverberg K, C Morcrette, J Petch, S Klein, H Ma, C Zhang, S Xie, Q Tang, W Gustafson Jr, Y Qian, L Berg, Y Liu, M Huang, M Ahlgrimm, R Forbes, E Bazile, R Roehrig, J Cole, W Merryfield, W Lee, F Cheruy, L Mellul, Y Wang, K Johnson, and M Thieman. 2018. "CAUSES: Attribution of Surface Radiation Biases in NWP and Climate Models near the U.S. Southern Great Plains." Journal of Geophysical Research: Atmospheres, 123(7), 10.1002/2017JD027188.
Research Highlight


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