microbase: Continuous Baseline Microphysical Retrieval

MICROBASE is a baseline retrieval of cloud microphysical properties. It uses a combination of observations from the 35-GHz millimeter wavelength cloud radar, ceilometer, micropulse lidar, microwave radiometer, and balloon-borne radiosonde soundings in order to produce instantaneous vertical profiles of cloud liquid water content (LWC), cloud ice water content (IWC), liquid cloud particle effective radius (LIQRE), and ice cloud particle effective radius (ICERE). Before the observations gathered from these remote and passive sensors are processed by MICROBASE, they are first processed by the following VAPs:

Reasonable assumptions for location, particle distribution, and cloud type were developed in order to produce a continuous time series of vertical profiles for these important cloud microphysical properties at each fixed ARM site. The MICROBASE principal investigator product files contain data at 10-second time intervals and 45-meter height intervals consisting of 512 vertical levels.

One of the primary purposes of this product is to provide the required microphysical values for input to the Broadband Heating Rate Profile (BBHRP) and Radiatively Important Parameters Best Estimate (RIPBE) products in order to generate estimates of atmospheric radiative heating rates.

More information about MICROBASE can be found in the technical report.

Measurements

Locations

  • Fixed
  • AMF1
  • AMF2
  • AMF3

Related Publications

2017

Zhou Y, X Sun, R Zhang, C Zhang, H Li, J Zhou, and S Li. 2017. "Influences of cloud heterogeneity on cirrus optical properties retrieved from the visible and near-infrared channels of MODIS/SEVIRI for flat and optically thick cirrus clouds." Journal of Quantitative Spectroscopy and Radiative Transfer, 187, 10.1016/j.jqsrt.2016.09.020.

2016

Ahlgrimm M and RM Forbes. 2016. "Regime dependence of cloud condensate variability observed at the Atmospheric Radiation Measurement Sites." Quarterly Journal of the Royal Meteorological Society, 142(697), 10.1002/qj.2783. ONLINE.

2015

Van Weverberg K, CJ Morcrette, H Ma, SA Klein, and JC Petch. 2015. "Using regime analysis to identify the contribution of clouds to surface temperature errors in weather and climate models." Quarterly Journal of the Royal Meteorological Society, 141(693), 10.1002/qj.2603.

Shupe MD, DD Turner, A Zwink, MM Thieman, EJ Mlawer, and T Shippert. 2015. "Deriving Arctic Cloud Microphysics at Barrow, Alaska: Algorithms, Results, and Radiative Closure." Journal of Applied Meteorology and Climatology, 54(7), 10.1175/jamc-d-15-0054.1.

2013

Thorsen TJ, Q Fu, and JM Comstock. 2013. "Cloud effects on radiative heating rate profiles over Darwin using ARM and A-train radar/lidar observations." Journal of Geophysical Research: Atmospheres, 118(11), 10.1002/jgrd.50476.

Sivaraman S. 2013. ARM Climate Research Facility Quarterly Value-Added Product Report January 1–March 31, 2013. Ed. by U.S. Department of Energy, DOE/SC-ARM-13-010.

Zhao C, S Xie, X Chen, M Dunn, and M Jensen. 2013. Analysis of Cloud Retrieval Uncertainty in MICROBASE. Presented at 4th Atmospheric System Research (ASR) Science Team Meeting. Potomac, MD.

Sivaraman C. 2013. ARM Climate Research Facility Quarterly Value-Added Product Report October 01–December 31, 2012. U.S. Department of Energy. DOE/SC-ARM-13-002.

2012

Mulmenstadt J, D Lubin, LM Russell, and AM Vogelmann. 2012. "Cloud Properties over the North Slope of Alaska: Identifying the Prevailing Meteorological Regimes." Journal of Climate, 25(23), 10.1175/jcli-d-11-00636.1.

Ahlgrimm M and R Forbes. 2012. "The Impact of Low Clouds on Surface Shortwave Radiation in the ECMWF Model." Monthly Weather Review, 140(11), 10.1175/mwr-d-11-00316.1.


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