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Climate Extremes in China

This special issue belongs to the section “Climatology“.

Special Issue Information

Dear Colleagues,

Weather and climate extremes can cause meteorological disasters, and have tremendous impacts on societies and economies. As Earth’s climate warms, more frequent and more intense extreme events have unfolded across the world. Critically evaluating the capability of state-of-the-art dynamic models for near-term extreme event predictions that operate on sub-seasonal to decadal time scales, as well as for long-term extreme event projections that operate on multidecadal to centurial scales, is important for identifying and addressing challenges in understanding and modeling physical mechanisms relevant to weather and climate extremes. This will in turn facilitate the diagnosis of the causative processes producing recent singular extreme events such as atmospheric circulations, water vapor divergence, and teleconnections, and the development of more skillful prediction techniques for near-term extreme events. It will also benefit the long-term projections of extreme events by improving our understanding about how much, how quickly, whether and to what extent the recent changes in the frequency and intensity of different weather and climate extremes are associated with human climate warming. As such, a synthesis of recent progresses in forecasting China’s weather and climate extremes through sub-seasonal to multidecadal scales, diagnosing physical processes producing recent singular extreme events, and attributing the role of long-term human climate warming is important for China’s resilience and adaptation to climate extremes in a warming world.

Dr. Zhiqiang Gong
Prof. Dr. Gang Huang
Dr. Chao Li
Guest Editors

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • climate extreme events
  • climate prediction
  • climate extreme events attribution
  • extreme rainfall events
  • extreme warm events
  • extreme drought events
  • diagnosing
  • external forces
  • model prediction assessment
  • dynamic–statistic combined prediction
  • error correction
  • ENSO

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Atmosphere - ISSN 2073-4433