Using surface remote sensors to derive radiative characteristics of mixed-phase clouds: An example from M-PACE

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Abstract

Measurements from ground-based cloud radar, high spectral resolution lidar and microwave radiometer are used in conjunction with a column version of the Rapid Radiative Transfer Model (RRTMG) and radiosonde measurements to derive the surface radiative properties under mixed-phase cloud conditions. These clouds were observed during the United States Department of Energy (US DOE) Atmospheric Radiation Measurement (ARM) Mixed-Phase Arctic Clouds Experiment (M-PACE) between September and November of 2004. In total, sixteen half hour time periods are reviewed due to their coincidence with radiosonde launches. Cloud liquid (ice) water paths are found to range between 11.0-366.4 (0.5-114.1) gm -2, and cloud physical thicknesses fall between 286-2075 m. Combined with temperature and hydrometeor size estimates, this information is used to calculate surface radiative flux densities using RRTMG, which are demonstrated to generally agree with measured flux densities from surface-based radiometric instrumentation. Errors in longwave flux density estimates are found to be largest for thin clouds, while shortwave flux density errors are generally largest for thicker clouds. A sensitivity study is performed to understand the impact of retrieval assumptions and uncertainties on derived surface radiation estimates. Cloud radiative forcing is calculated for all profiles, illustrating longwave dominance during this time of year, with net cloud forcing generally between 50 and 90 Wm-2. © 2011 Author(s).

Figures

  • Table 1. Case overview providing case numbers, the time periods covered, and values for case mean liquid cloud depth, case mean liquid water path and case mean ice water path.
  • Fig. 1. Measured and retrieved cloud properties on 10 October, 2004. Included are (top to bottom) AHSRL bacscatter cross-section, AHSRL depolarization ratio, MMCR reflectivity, and profiles of liquid water content (LWC), ice water content (IWC) and liquid (re,liq) and ice (re,ice) effective particle sizes.
  • Fig. 3. Distributions of odeled (grey) and measured (blue) surface radiative flux densities. From top to bottom: net shortwave (SWnet), net longwave (LWnet), upward shortwave (SWup), upward longwave (LWup), downward shortwave (SWdown), and downward longwave (LWdown). The dots represent the cas mean, t e thick bar the 25th/75th percentiles, and the whiskers representing 1.5× IQR beyond 25th and 75th percentiles. Any values outside of that range are indicated by open circles.
  • Fig. 3. Distributions of modeled (grey) and measured (blue) surface radiative flux densities. From top to
  • Fig. 4. Errors in modeled surface shortwave (SW, top three rows) and longwave (LW, bottom three rows)
  • Fig. 5. Distributions of differences between downwelling shortwave (red) and longwave (blue) flux densities
  • Table 2. Mean cloud radiative forcing for M-PACE mixed-phase clouds by case, and for the entire period. The M-PACE mean shortwave cloud radiative forcing does not include nighttime cases.
  • Fig. 6. Distributions of shortwave (SW, light grey), longwave (LW, dark grey) and net (black) cloud radiative

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CITATION STYLE

APA

De Boer, G., Collins, W. D., Menon, S., & Long, C. N. (2011). Using surface remote sensors to derive radiative characteristics of mixed-phase clouds: An example from M-PACE. Atmospheric Chemistry and Physics. https://doi.org/10.5194/acp-11-11937-2011

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