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Surface Warming During the 2018/Mars Year 34 Global Dust Storm.
Paul M Streeter1, Stephen R Lewis1, Manish R Patel1,2
1School of Physical Sciences The Open University Milton Keynes UK.
Summary
Mars's 2018 Global Dust Storm (GDS) caused unexpected global surface warming, not just cooling. This warming was driven by complex regional temperature changes, particularly nightside warming in low thermal inertia areas.
Area of Science:
- Planetary Science
- Atmospheric Science
- Climate Modeling
Background:
- Mars experiences global dust storms (GDS) that significantly alter its atmospheric conditions.
- Previous studies primarily focused on the cooling effects of dust storms due to solar absorption.
Purpose of the Study:
- To investigate the impact of the 2018 Mars Global Dust Storm (GDS) on surface and near-surface air temperatures.
- To analyze the spatial distribution and magnitude of temperature changes across the Martian surface.
Main Methods:
- Assimilation of Mars Climate Sounder (MCS) observations.
- Analysis of surface radiative flux, surface temperature, and air temperature data.
- Comparison with previous dust storm events and simulation results.
Main Results:
- The globally averaged surface temperature showed a warming of 0.9 K, contrary to expected cooling.
- Significant spatial heterogeneity in temperature changes, with localized cooling up to 16 K and warming up to 19 K.
- Net warming occurred in low thermal inertia regions due to enhanced longwave emission and scattering, leading to strong nightside warming that outweighed dayside cooling.
- Reduced surface-air temperature gradients resulted in coupled temperature changes and local dayside air warming.
Conclusions:
- The spatial structure of a GDS is critical in determining its global surface temperature effects.
- Mars's 2018 GDS demonstrated a complex interplay between radiative forcing, thermal inertia, and atmospheric dynamics influencing surface temperatures.
- Findings challenge simplified models of dust storm impacts, highlighting the importance of regional variations.
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