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      Large uncertainties in trends of energy demand for heating and cooling under climate change

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          Abstract

          The energy demand for heating and cooling buildings is changing with global warming. Using proxies of climate-driven energy demand based on the heating and cooling Degree-Days methodology applied to thirty global climate model simulations, we show that, over all continental areas, the climate-driven energy demand trends for heating and cooling were weak, changing by less than 10% from 1950 to 1990, but become stronger from 1990 to 2030, changing by more than 10%. With the multi-model mean, the increasing trends in cooling energy demand are more pronounced than the decreasing trends in heating. The changes in cooling, however, are highly variable depending on individual simulations, ranging from a few to several hundred percent in most of the densely populated mid-latitude areas. This work presents an example of the challenges that accompany future energy demand quantification as a result of the uncertainty in the projected climate.

          Abstract

          The energy demand for heating and cooling buildings is changing with global warming. Here the authors show that trends in cooling energy demands are increasing, although the magnitude is extremely uncertain, which highlights challenges for future energy demand quantification.

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          Most cited references30

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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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            Double-slit photoelectron interference in strong-field ionization of the neon dimer

            Wave-particle duality is an inherent peculiarity of the quantum world. The double-slit experiment has been frequently used for understanding different aspects of this fundamental concept. The occurrence of interference rests on the lack of which-way information and on the absence of decoherence mechanisms, which could scramble the wave fronts. Here, we report on the observation of two-center interference in the molecular-frame photoelectron momentum distribution upon ionization of the neon dimer by a strong laser field. Postselection of ions, which are measured in coincidence with electrons, allows choosing the symmetry of the residual ion, leading to observation of both, gerade and ungerade, types of interference.
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              The representative concentration pathways: an overview

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                Author and article information

                Contributors
                Adrien.Deroubaix@mpimet.mpg.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                31 August 2021
                31 August 2021
                2021
                : 12
                : 5197
                Affiliations
                [1 ]GRID grid.10877.39, ISNI 0000000121581279, LMD - IPSL, , École Polytechnique, Institut Polytechnique de Paris, ENS, IPSL Research University, Sorbonne Université, CNRS, ; Palaiseau, France
                [2 ]GRID grid.7704.4, ISNI 0000 0001 2297 4381, Institute of Geography, , University of Bremen, ; Bremen, Germany
                [3 ]GRID grid.464159.b, ISNI 0000 0004 0369 8176, LISA, , Université Paris-Est Créteil, CNRS, Université de Paris, IPSL, ; Créteil, France
                [4 ]GRID grid.57828.30, ISNI 0000 0004 0637 9680, Atmospheric Chemistry Observations & Modeling Laboratory (ACOM), , National Center for Atmospheric Research, ; Boulder, CO USA
                [5 ]GRID grid.9435.b, ISNI 0000 0004 0457 9566, Department of Meteorology, , National Centre for Atmospheric Science, University of Reading, ; Reading, UK
                [6 ]Independent researcher, Barcelona, Spain
                [7 ]GRID grid.10097.3f, ISNI 0000 0004 0387 1602, Barcelona Supercomputing Center, BSC, ; Barcelona, Spain
                [8 ]GRID grid.36425.36, ISNI 0000 0001 2216 9681, School of Marine and Atmospheric Sciences, State University of New York at Stony Brook, ; Stony Brook, NY USA
                Author information
                http://orcid.org/0000-0003-4464-7802
                http://orcid.org/0000-0003-3755-5264
                http://orcid.org/0000-0002-6595-0686
                http://orcid.org/0000-0002-4008-2026
                http://orcid.org/0000-0003-4304-2545
                Article
                25504
                10.1038/s41467-021-25504-8
                8408235
                34465790
                b2a56186-3f25-404d-af6b-7fad29ec9295
                © The Author(s) 2021

                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
                : 15 July 2020
                : 29 July 2021
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                climate-change impacts,energy supply and demand
                Uncategorized
                climate-change impacts, energy supply and demand

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