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Title: ARM: Merged Sounding profiles derived with first Mace algorithm

Merged Sounding profiles derived with first Mace algorithm
Authors:
; ;
Publication Date:
DOE Contract Number:
DE-AC05-00OR22725
Product Type:
Dataset
Research Org(s):
Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Subject:
54 Environmental Sciences; Atmospheric moisture; Atmospheric pressure; Atmospheric temperature; Horizontal wind
OSTI Identifier:
1034922
  1. ARM focuses on obtaining continuous measurements—supplemented by field campaigns—and providing data products that promote the advancement of climate models. ARM data include routine data products, value-added products (VAPs), field campaign data, complementary external data products from collaborating programs, and data contributed by ARM principal investigators for use by the scientific community. Data quality reports, graphical displays of data availability/quality, and data plots are also available from the ARM Data Center. Serving users worldwide, the ARM Data Center collects and archives approximately 20 terabytes of data per month. Datastreams are generally available for download within 48 hours.
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  1. Merged Sounding profiles derived with second Mace algorithm
  2. We have generated a suite of products that includes merged soundings, cloud microphysics, and radiative fluxes and heating profiles. The cloud microphysics is strongly based on the ARM Microbase value added product (Miller et al., 2003). We have made a few changes to the microbasemore » parameterizations to address issues we observed in our initial analysis of the tropical data. The merged sounding product is not directly related to the product developed by ARM but is similar in that it uses the microwave radiometer to scale the radiosonde column water vapor. The radiative fluxes also differ from the ARM BBHRP (Broadband Heating Rate Profile) product in terms of the radiative transfer model and the sampling interval. « less
  3. Planetary Boundary Layer (PBL) heights have been computed using potential temperature profiles derived from Raman lidar and AERI measurements. Raman lidar measurements of the rotational Raman scattering from nitrogen and oxygen are used to derive vertical profiles of potential temperature. AERI measurements of downwelling radiancemore » are used in a physical retrieval approach (Smith et al. 1999, Feltz et al. 1998) to derive profiles of temperature and water vapor. The Raman lidar and AERI potential temperature profiles are merged to create a single potential temperature profile for computing PBL heights. PBL heights were derived from these merged potential temperature profiles using a modified Heffter (1980) technique that was tailored to the SGP site (Della Monache et al., 2004). PBL heights were computed on an hourly basis for the period January 1, 2009 through December 31, 2011. These heights are provided as meters above ground level. « less
  4. Radiatively Important Parameters Best Estimate profiles derived with first McFarlane algorithm
  5. The Merged RWP-WACR-ARSCL Cloud Mask and Cloud Type PI Data Product combines the RWP calibrated radar reflectivity data with the WACR-ARSCL dataset to improve cloud mask in precipitating clouds and to provide cloud-type profile classification. WACR-ARSCL cloud profiles during substantial precipitation period where severe attenuationmore » affects accuracy of WACR cloud-top detections were replaced with RWP profiles. The merged RWP-WACR-ARSCL cloud mask is then used to produce cloud-type profile classification. The cloud-type classification includes a total of seven cloud types: shallow cumulus, congestus, deep convective clouds, altocumulus, altostratus, cirrostratus and cirrus. See the data description for more details about the dataset. « less