Examination of the behavior of modis-retrieved cloud droplet effective radius through misr-modis data fusion

Fu, Dongwei

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https://hdl.handle.net/2142/102790 Copy

Description

Title

Examination of the behavior of modis-retrieved cloud droplet effective radius through misr-modis data fusion

Author(s)

Fu, Dongwei

Issue Date

2018-11-08

Director of Research (if dissertation) or Advisor (if thesis)

Di Girolamo, Larry

Department of Study

Atmospheric Sciences

Discipline

Atmospheric Sciences

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

M.S.

Degree Level

Thesis

Keyword(s)

• Cloud Effective Radius
• Data Fusion
• Bias Correction
• Remote Sensing
• Radiative Transfer
• MISR
• MODIS

Abstract

Listed as one of the Essential Climate Variables by the Global Climate Observing System, the effective radius (Re) of the cloud drop size distribution plays an important role in the energy and water cycles of the Earth system. Re is retrieved from several passive sensors, such as the Moderate Resolution Imaging Spectroradiometer (MODIS), based on a visible and near-infrared bi-spectral technique that had its foundation more than a quarter century ago. This technique makes a wide range of assumptions, including 1-D radiative transfer, assumed single-mode drop size distribution, and cloud horizontal and vertical homogeneity. It is well known that deviations from these assumptions lead to bias in the retrieved Re. Recently, an effort to characterize the bias in MODIS-retrieved Re through MISR-MODIS data fusion revealed biases in the zonal-mean values of MODIS-retrieved Re that varied from 2 to 11 µm, depending on latitude [Liang et al., 2015]. Here, in a push towards bias-correction of MODIS-retrieved Re, we further examine the bias with MISR-MODIS data fusion as it relates to other observed cloud properties, such as cloud horizontal heterogeneity, cloud optical depth, and sun-view geometry. Our results reveal that while Re bias do show a certain degree of dependence on some properties, no single property dominates the behavior in the MODIS-retrieved Re bias. Through data stratification by observed cloud properties and latitude, we introduce a bias-correction approach for MODIS-retrieved Re at regional scales. Our estimates reveal global distribution of MODIS-retrieved Re monthly mean bias ~1 to 12 μm depending on latitude and cloud types, the bias-corrected Re estimates of ~ 4 to 16 μm are consistent with available validations of MODIS Re reported in previous studies over limited regions. Removing the mean bias from the original MODIS Re2.1 and Re3.7 monthly means show more consistent behavior among the two channels that range from 0 to +0.6 μm in the marine stratocumulus regions and -2 to 0 μm in the cumuliform cloud regions. This curious finding seems to suggest that the vertical distribution of drop sizes for marine stratocumulus clouds are very different from other types of marine liquid water clouds.

Graduation Semester

2018-12

Type of Resource

text

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http://hdl.handle.net/2142/102790

Copyright and License Information

Copyright 2018 Dongwei Fu

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