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Related Concept Videos

Radiation Pressure: Problem Solving01:09

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The radiation pressure applied by an electromagnetic wave on a perfectly absorbing surface equals the energy density of the wave. The wave's momentum also gets transferred to the surface when an electromagnetic wave is entirely absorbed by it. The rate at which momentum is transmitted to an absorbing surface perpendicular to the propagation direction equals the force on the surface.
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Scattering And Absorption of Light in Planetary Regoliths
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Observation-Based Decomposition of Radiative Perturbations and Radiative Kernels.

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This summary is machine-generated.

The Clouds and the Earth's Radiant Energy System (CERES)-partial radiative perturbation (PRP) method uses observational data to determine how clouds, atmosphere, and surface properties affect Earth's radiation budget variability. This approach aids in creating accurate radiative kernels for climate modeling.

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Area of Science:

  • Earth Science
  • Atmospheric Science
  • Climate Science

Background:

  • Understanding Earth's radiation budget variability is crucial for climate modeling.
  • Existing methods often struggle to isolate individual contributions from cloud, atmospheric, and surface properties.
  • Accurate radiative kernels are essential for improving climate model predictions.

Purpose of the Study:

  • To introduce and validate the CERES-PRP methodology for isolating radiative budget components.
  • To construct observation-based radiative kernels, particularly for water vapor.
  • To assess the accuracy of climate model-derived radiative kernels against observational data.

Main Methods:

  • Applied the CERES-PRP methodology to observational datasets.
  • Utilized CERES SYN data and CloudSat/CALIPSO data for cloud properties.
  • Incorporated a clustering method for CloudSat/CALIPSO cloud profiles in radiative transfer calculations.
  • Validated computed fluxes against CERES TOA fluxes.

Main Results:

  • Successfully isolated individual contributions of cloud, atmospheric, and surface properties to radiation budget variability.
  • Demonstrated an approximately linear decomposition of total flux anomalies.
  • Derived observation-based water vapor radiative kernels.
  • Found marginally larger differences between observation-based and NCAR CAM3.0 water vapor kernels compared to previous GCM kernel intercomparisons.

Conclusions:

  • The CERES-PRP methodology provides a robust way to analyze radiation budget variability using observational data.
  • Observation-based radiative kernels offer valuable benchmarks for evaluating climate models.
  • Further refinement of climate model radiative kernels is warranted based on observational findings.