Objective Determination of Cloud Heights and Radar Reflectivities Using a Combination of Active Remote Sensors at the ARM CART Sites

By Eugene E. Clothiaux, T. Ackerman, Gerald Mace, K. Moran, Roger Marchand, M. Miller, B. Martner. 2000

605 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/12c72a244be1290ccd0f443e2a894e1826f9f028

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

In Environmental Engineering

In Global and Planetary Change

Citations in the corpus

Analysis of cloud layer structure in Shouxian, China using RS92 radiosonde aided by 95 GHz cloud radar (2010, background): “The following two factors may explain the large discrepancies: (1) the presence of thick lower level clouds and fog, which affects the detection of upper level clouds by the ceilometer [Clothiaux et al., 2000], and (2) balloon drift.”
Relationships among cloud occurrence frequency, overlap, and effective thickness derived from CALIPSO and CloudSat merged cloud vertical profiles (2010, positive): “When CALIOP signal is not completely attenuated, cloud bases are taken from the CALIOP data (Table 1) to avoid the influence of precipitation on the cloud radar [e.g., Clothiaux et al. , 2000].”
FRESCO+: an improved O 2 A-band cloud retrieval algorithm for tropospheric trace gas retrievals (2008, methodology): “3 Validation of FRESCO+ cloud heights with ground-based data Cloud heights retrieved by FRESCO+ from one year of SCIAMACHY measurements in 2005 have been compared with collocated ARM (Atmospheric Radiation Measurement) active remote sensing cloud boundaries data at SGP (Southern Great Plains) 5 in t”
Hydrometeor Detection Using Cloudsat—An Earth-Orbiting 94-GHz Cloud Radar (2008, methodology): “6 of Clothiaux et al. (1995). Comparing Fig.”
Simulations of midlatitude frontal clouds by single-column and cloud--resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period (2005, positive): “One valuable product from such efforts is the Active Remote Sensing of Clouds Layers (ARSCL), which gives a best estimate of cloud location and radar echo characteristics above the central facilities of each of the ARM research sites [ Clothiaux et al. , 2000].”
On the Relationship between Thermodynamic Structure and Cloud Top, and Its Climate Significance in the Arctic (2012, methodology): “Cloud boundaries were determined using the Active Remote Sensing of Cloud Layers algorithm (Clothiaux et al. 2000) with a slightly more demanding threshold applied here.”
A climatology of midlatitude continental clouds from the ARM SGP central facility: Part I: Low-level cloud macrophysical, microphysical, and radiative properties (2005, methodology): “Cloud-top height ( Z top ) is derived from MMCR reflectivity profiles and cloud-base height ( Z base ) is derived from a composite of Belfort laser ceilometer, Micropluse lidar (MPL), and MMCR data (CloudBaseBestEstimate; Clothiaux et al. 2000).”
Improvements of top-of-atmosphere and surface irradiance computations with CALIPSO-, CloudSat-, and MODIS-derived cloud and aerosol properties (2011, background): “Cloud Base Height and Other Uncertainties [37] A large uncertainty associated with the cloud base height derived from radar results from the difficulty in screening precipitation [e.g., Clothiaux et al., 2000 ].”
The Tropical Warm Pool International Cloud Experiment (2008, positive): “Cloud profiles are derived primarily from a pair of vertically pointing active remote sensors: a 35-GHz cloud radar [Millimeter Wavelength Cloud Radar (MMCR)] and a cloud lidar (Clothiaux et al. 2000).”
The Atmospheric Radiation Measurement Program Cloud Profiling Radars: Second-Generation Sampling Strategies, Processing, and Cloud Data Products (2007, neutral): “Kollias et al. (2005) identified several problems in the parameters listed in Table 1.”
A Comparison of MERRA and NARR Reanalyses with the DOE ARM SGP Data (2011, methodology): “This cloud product is similar to the Active Remotely Sensed Cloud Locations (ARSCL; Clothiaux et al. 2000) cloud product except the original datastream is the Mace principal investigator product (Mace et al. 2006), which merges the original radar modes differently.”
Daytime Cloud Overlap Detection from AVHRR and VIIRS (2004, positive): “All of the scenes were chosen based upon one criteria: there must be either a single layer or multiple cloud layers present within 15 minutes of the Terra overpass indicated by the millimeter cloud radar merged moments product (Clothiaux et al., 2000).”