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Updated: Jun 25, 2025

In Situ Soil Moisture Sensors in Undisturbed Soils
Published on: November 18, 2022
Recent wetting trend over Taklamakan and Gobi Desert dominated by internal variability
Wenhao Dong1,2, Yi Ming3, Yi Deng4
1Cooperative Programs for the Advancement of Earth System Science, University Corporation for Atmospheric Research, Boulder, CO, USA. Wenhao.Dong@noaa.gov.
Atmospheric internal variations, not just external forces, are driving increased summer rainfall in the Taklamakan and Gobi Deserts (TGD). Changes in the North Atlantic Oscillation are redirecting storm tracks, leading to more precipitation events.
Area of Science:
- Climatology
- Atmospheric Science
- Meteorology
Background:
- The Taklamakan and Gobi Desert (TGD) region shows a significant rise in summer precipitation and extreme weather events.
- While large-scale atmospheric circulation changes are implicated, the roles of internal variability versus external forcings are not fully understood.
Purpose of the Study:
- To investigate the primary drivers of the observed summer precipitation increase in the TGD region.
- To differentiate the contributions of internal atmospheric variability and external forcings to regional wetting trends.
Main Methods:
- Utilized a hierarchy of numerical simulations to model climate dynamics.
- Employed diverse statistical analysis tools, including clustering analysis, to interpret simulation outputs.
- Analyzed the influence of the North Atlantic Oscillation on storm track dynamics.
Main Results:
- Strong evidence indicates that atmospheric internal variations are the main driver of the TGD wetting trend.
- Recent shifts in the North Atlantic Oscillation have altered storm tracks, increasing extratropical storms reaching the TGD.
- Clustering analysis revealed that synoptic-scale processes and large precipitation events contribute significantly to this trend.
Conclusions:
- Internal atmospheric variability plays a crucial role in the recent precipitation increase in the TGD.
- Understanding internal variability is essential for accurately predicting future precipitation trends in the region, alongside anthropogenic forcing.
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