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Updated: Sep 16, 2025

Thermocapillary Convection Space Experiment on the SJ-10 Recoverable Satellite
Published on: March 11, 2020
Decadal changes in atmospheric circulation detected in cloud motion vectors.
Larry Di Girolamo1, Guangyu Zhao2, Gan Zhang2
1Department of Climate, Meteorology & Atmospheric Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA. gdi@illinois.edu.
Satellite data reveals significant changes in Earth's atmospheric circulation over the past two decades. Cloud motion speeds have increased, indicating shifts in weather patterns and potential climate model biases.
Area of Science:
- Atmospheric Science
- Climate Science
- Remote Sensing
Background:
- Global weather patterns are influenced by atmospheric circulation, which is changing.
- Existing climate models and reanalysis data show discrepancies in observed circulation changes.
- Validation with independent, climate-quality measurements is crucial for understanding these changes.
Purpose of the Study:
- To detect and validate statistically significant changes in tropospheric circulation using satellite data.
- To assess the accuracy of widely used reanalysis products against independent observations.
- To provide benchmarks for improving climate models.
Main Methods:
- Utilized satellite-observed, height-resolved cloud motion vectors from the Multi-angle Imaging SpectroRadiometer (MISR).
- Analyzed upper tropospheric cloud motion speeds and latitudinal shifts of tropical and polar fronts over two decades.
- Compared MISR data with ERA5 reanalysis winds.
Main Results:
- Observed statistically significant increases in upper tropospheric mid-latitude cloud motion speeds (up to 4 m/s/decade).
- Detected poleward shifts in Northern Hemisphere tropics (0.42°/decade) and polar fronts (0.37°/decade).
- Found good agreement between MISR and ERA5 climatology but identified probable ERA5 biases in the upper troposphere.
Conclusions:
- MISR satellite data provides critical, independent evidence of significant changes in tropospheric circulation.
- The findings highlight potential biases in current reanalysis products, particularly in the upper troposphere.
- These observations are essential for refining climate models and improving our understanding of climate change impacts.
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