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Precipitation change in the United States

TLDR
Wuebbles et al. as discussed by the authors, 2017: Precipitation change in the United States, U.S. Global Change Research Program Recommended Citation for Chapter Easterling, D.R., K.E. Kunkel, J.R. Arnold, T.C. Stewart, and M.F. Wehner.
Abstract
Climate Science Special Report U.S. Global Change Research Program Recommended Citation for Chapter Easterling, D.R., K.E. Kunkel, J.R. Arnold, T. Knutson, A.N. LeGrande, L.R. Leung, R.S. Vose, D.E. Waliser, and M.F. Wehner, 2017: Precipitation change in the United States. In: Climate Science Special Report: Fourth National Climate Assessment, Volume I [Wuebbles, D.J., D.W. Fahey, K.A. Hibbard, D.J. Dokken, B.C. Stewart, and T.K. Maycock (eds.)]. U.S. Global Change Research Program, Washington, DC, USA, pp. 207-230, doi: 10.7930/J0H993CC. KEY FINDINGS

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Global increasing trends in annual maximum daily precipitation

TL;DR: In this paper, the authors investigated the presence of trends in annual maximum daily precipitation time series obtained from a global dataset of 8326 high-quality land-based observing stations with more than 30 years of record over the period from 1900 to 2009.
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Changing wildfire, changing forests: the effects of climate change on fire regimes and vegetation in the Pacific Northwest, USA

TL;DR: In this paper, the authors synthesize understanding of the potential effects of changing climate and fire regimes on Pacific Northwest forests, including effects on disturbance and stress interactions, forest structure and composition, and post-fire ecological processes.
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Human influence has intensified extreme precipitation in North America

TL;DR: It is established that anthropogenic climate change has contributed to the intensification of continental and regional extreme precipitation and will lead to more frequent and intense precipitation extremes in North America in the future.
References
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An Overview of CMIP5 and the Experiment Design

TL;DR: The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance the authors' knowledge of climate variability and climate change.
Book Chapter

Chapter 12 - Long-term climate change: Projections, commitments and irreversibility

TL;DR: The authors assesses long-term projections of climate change for the end of the 21st century and beyond, where the forced signal depends on the scenario and is typically larger than the internal variability of the climate system.
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