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Related Experiment Video

Updated: Jun 9, 2026

Scattering And Absorption of Light in Planetary Regoliths

Scattering And Absorption of Light in Planetary Regoliths

Published on: July 1, 2019

Radiative transfer for a three-dimensional raining cloud.

J L Haferman, W F Krajewski, T F Smith

|September 8, 2010

Summary

This summary is machine-generated.

Three-dimensional radiative transfer models are crucial for accurate satellite rainfall retrieval. Ignoring 3D cloud effects and surface reflectance can significantly impact microwave brightness temperature calculations.

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Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

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Published on: December 12, 2013

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Last Updated: Jun 9, 2026

Scattering And Absorption of Light in Planetary Regoliths

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Published on: July 1, 2019

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

Area of Science:

Atmospheric Science
Remote Sensing
Radiative Transfer Theory

Background:

Satellite remote sensing is vital for global precipitation monitoring.
Accurate retrieval of rainfall relies on understanding radiative transfer within clouds.
Previous models often simplified cloud geometry, potentially limiting accuracy.

Purpose of the Study:

To compute satellite-sensor-based microwave brightness temperatures for 3D raining clouds.
To investigate the impact of 3D cloud effects and surface reflectance on rainfall retrieval algorithms.
To validate a 3D radiative transfer model against a 1D model.

Main Methods:

Utilized a radiative transfer model based on the discrete-ordinates solution procedure.
Applied a 3D model to a plane layer and validated it with a 1D model.
Conducted numerical experiments varying cloud height, rainfall rate, surface reflectance, and viewing position.

Main Results:

3D effects were found to be significant under certain conditions for rainfall retrieval.
Cloud height, rainfall rate, surface reflectance, and viewing angle influence brightness temperatures.
The 3D model's results differed from 1D calculations, highlighting the importance of dimensionality.

Conclusions:

3D radiative transfer effects must be considered for accurate satellite-based rainfall estimation.
Surface reflectance significantly impacts satellite-measured radiation data interpretation.
Future rainfall retrieval algorithms should incorporate detailed 3D cloud and surface properties.