Climate Extremes: Patterns and Mechanisms

S-Y Simon Wang, Jin-Ho Yoon, Christopher C. Funk, Robert R. Gillies

Although we are seeing more weather and climate extremes, individual extreme events are very diverse and generalization of trends is difficult. For example, mid-latitude and subtropical climate extremes such as heat waves, hurricanes and droughts have increased, and could have been caused by processes including arctic amplification, jet stream meandering, and tropical expansion. This volume documents various climate extreme events and associated changes that have been analyzed through diagnostics, modeling, and statistical approaches. The identification of patterns and mechanisms can aid the prediction of future extreme events. Volume highlights include: Compilation of processes and mechanisms unique to individual weather and climate extreme events Discussion of climate model performance in terms of simulating high-impact weather and climate extremes Summary of various existing theories, including controversial ones, on how climate extremes will continue to become stronger and more frequent Climate Extremes: Patterns and Mechanisms is a valuable resource for scientists and graduate students in the fields of geophysics, climate physics, natural hazards, and environmental science.

ScienceScience · high confidenceScience81 signalsLlm Classifier: Science -> ScienceGoogle Books: Science -> ScienceAward Category: PROSE Award for Earth and Environmental Sciences -> Arts & CriticismClimate, Weather & DisasterScience & DiscoveryArt, Music & PerformanceEducation & Universities
Experimental book profileGenerated by GPT-5.4 nano · may contain inaccuracies

This is an unverified interpretation of the catalog description, offered as an opt-in discovery experiment—not as bibliographic fact.

  1. 01 Central figures

    None extracted with sufficient confidence.

  2. 02 Central places

    None extracted with sufficient confidence.

  3. 03 Suggested argument

    No argument inferred with sufficient confidence.

    This suggestion did not meet the normal display threshold and is more likely to be wrong.

    Although climate extremes are becoming more frequent overall, individual extreme events are diverse, so identifying patterns and mechanisms requires diagnostics, modeling, and statistical approaches to improve prediction.

    Model confidence 58%

  4. 04 Reading orientation

    68 / 100 academic

    Academic

    An estimate of intended readership and scholarly apparatus—not quality or importance.

Confidence percentages are the model's own estimates. Profile confidence: 62%.