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      Reconciling the disagreement between observed and simulated temperature responses to deforestation

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          Abstract

          Land use changes have great potential to influence temperature extremes. However, contradictory summer daytime temperature responses to deforestation are reported between observations and climate models. Here we present a pertinent comparison between multiple satellite-based datasets and climate model deforestation experiments. Observationally-based methods rely on a space-for-time assumption, which compares neighboring locations with contrasting land covers as a proxy for land use changes over time without considering possible atmospheric feedbacks. Offline land simulations or subgrid-level analyses agree with observed warming effects only when the space-for-time assumption is replicated. However, deforestation-related cloud and radiation effects manifest in coupled climate simulations and observations at larger scales, which show that a reduction of hot extremes with deforestation – as simulated in a number of CMIP5 models – is possible. Our study provides a design and analysis methodology for land use change studies and highlights the importance of including land-atmosphere coupling, which can alter deforestation-induced temperature changes.

          Abstract

          Models show a cooler surface temperature response to deforestation than observations which has been attributed to uncertainties in the models. A comparison of satellite observations and model experiments shows that the disagreement is due to the role of atmospheric feedbacks, which are not well captured in the observational space-for-time approach.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            An Overview of CMIP5 and the Experiment Design

            The fifth phase of the Coupled Model Intercomparison Project (CMIP5) will produce a state-of-the- art multimodel dataset designed to advance our knowledge of climate variability and climate change. Researchers worldwide are analyzing the model output and will produce results likely to underlie the forthcoming Fifth Assessment Report by the Intergovernmental Panel on Climate Change. Unprecedented in scale and attracting interest from all major climate modeling groups, CMIP5 includes “long term” simulations of twentieth-century climate and projections for the twenty-first century and beyond. Conventional atmosphere–ocean global climate models and Earth system models of intermediate complexity are for the first time being joined by more recently developed Earth system models under an experiment design that allows both types of models to be compared to observations on an equal footing. Besides the longterm experiments, CMIP5 calls for an entirely new suite of “near term” simulations focusing on recent decades and the future to year 2035. These “decadal predictions” are initialized based on observations and will be used to explore the predictability of climate and to assess the forecast system's predictive skill. The CMIP5 experiment design also allows for participation of stand-alone atmospheric models and includes a variety of idealized experiments that will improve understanding of the range of model responses found in the more complex and realistic simulations. An exceptionally comprehensive set of model output is being collected and made freely available to researchers through an integrated but distributed data archive. For researchers unfamiliar with climate models, the limitations of the models and experiment design are described.
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              Clouds and the Earth's Radiant Energy System (CERES): An Earth Observing System Experiment

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                Author and article information

                Contributors
                liangch@illinois.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                10 January 2020
                10 January 2020
                2020
                : 11
                : 202
                Affiliations
                [1 ]ISNI 0000 0004 1936 8032, GRID grid.22448.38, Center for Ocean-Land-Atmosphere Studies, , George Mason University, ; Fairfax, VA USA
                [2 ]ISNI 0000 0004 1936 9991, GRID grid.35403.31, Climate and Atmospheric Sciences Section, Illinois State Water Survey, Prairie Research Institute, , University of Illinois at Urbana-Champaign, ; Champaign, IL USA
                Author information
                http://orcid.org/0000-0003-1553-2846
                http://orcid.org/0000-0003-3158-1752
                Article
                14017
                10.1038/s41467-019-14017-0
                6954270
                31924772
                127a4978-bba8-4bba-b6e9-fa08629c4de2
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 July 2018
                : 10 December 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: AGS-1419445
                Award Recipient :
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                Custom metadata
                © The Author(s) 2020

                Uncategorized
                atmospheric dynamics,climate and earth system modelling,climate-change impacts

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