A high-resolution downscaled CMIP5 projections dataset of essential surface climate variables over the globe coherent with the ERA5 reanalysis for climate change impact assessments

被引：16
作者：
Noel, Thomas [1 ]
Loukos, Harilaos [1 ]
Defrance, Dimitri [1 ]
Vrac, Mathieu [2 ]
Levavasseur, Guillaume [3 ]
机构：
[1] Climate Data Factory, Paris, France
[2] Univ Paris Saclay, Orme Merisiers, Ctr Etud Saclay, Lab Sci Climat & Environm LSCE IPSL,CEA CNRS UVSQ, F-91191 Gif Sur Yvette, France
[3] SU CNRS, Inst Pierre Simon Laplace, Paris, France
来源：
DATA IN BRIEF | 2021年 / 35卷
关键词：
High-resolution; Projections; CMIP5; ERA5; Downscaling; Climate change; Adaptation; Impact modeling; BIAS; MODEL;
D O I：
10.1016/j.dib.2021.106900
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
A high-resolution climate projections dataset is obtained by statistically downscaling climate projections from the CMIP5 experiment using the ERA5 reanalysis from the Copernicus Climate Change Service. This global dataset has a spatial resolution of 0.25 degrees x 0.25 degrees, comprises 21 climate models and includes 5 surface daily variables at monthly resolution: air temperature (mean, minimum, and maximum), precipitation, and mean near-surface wind speed. Two greenhouse gas emissions scenarios are available: one with mitigation policy (RCP4.5) and one without mitigation (RCP8.5). The downscaling method is a Quantile Mapping method (QM) called the Cumulative Distribution Function transform (CDF-t) method that was first used for wind values and is now referenced in dozens of peer-reviewed publications. The data processing includes quality control of metadata according to the climate modeling community standards and value checking for out-lier detection. (C) 2021 The Authors. Published by Elsevier Inc.
引用
收藏
页数：16
相关论文
共 14 条
  • [1] A climate projection dataset tailored for the European energy sector
    Bartok, Blanka
    Tobin, Isabelle
    Vautard, Robert
    Vrac, Mathieu
    Jin, Xia
    Levavasseur, Guillaume
    Denvil, Sebastien
    Dubus, Laurent
    Parey, Sylvie
    Michelangeli, Paul-Antoine
    Troccoli, Alberto
    Saint-Drenan, Yves-Marie
    [J]. CLIMATE SERVICES, 2019, 16
  • [2] Chayawat C., 2019, WATER AIR SOIL POLL, V45, P50, DOI [DOI 10.1016/J.AMJMS.2021.03.001,00089-6, 10.2306/scienceasia1513-1874.2019.45.050, DOI 10.1007/s11270-007-9372-6]
  • [3] Consequences of rapid ice sheet melting on the Sahelian population vulnerability
    Defrance, Dimitri
    Ramstein, Gilles
    Charbit, Sylvie
    Vrac, Mathieu
    Moise Famien, Adjoua
    Sultan, Benjamin
    Swingedouw, Didier
    Dumas, Christophe
    Gemenne, Francois
    Alvarez-Solas, Jorge
    Vanderlinden, Jean-Paul
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2017, 114 (25) : 6533 - 6538
  • [4] Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5
    Dufresne, J-L.
    Foujols, M-A.
    Denvil, S.
    Caubel, A.
    Marti, O.
    Aumont, O.
    Balkanski, Y.
    Bekki, S.
    Bellenger, H.
    Benshila, R.
    Bony, S.
    Bopp, L.
    Braconnot, P.
    Brockmann, P.
    Cadule, P.
    Cheruy, F.
    Codron, F.
    Cozic, A.
    Cugnet, D.
    de Noblet, N.
    Duvel, J-P.
    Ethe, C.
    Fairhead, L.
    Fichefet, T.
    Flavoni, S.
    Friedlingstein, P.
    Grandpeix, J-Y.
    Guez, L.
    Guilyardi, E.
    Hauglustaine, D.
    Hourdin, F.
    Idelkadi, A.
    Ghattas, J.
    Joussaume, S.
    Kageyama, M.
    Krinner, G.
    Labetoulle, S.
    Lahellec, A.
    Lefebvre, M-P.
    Lefevre, F.
    Levy, C.
    Li, Z. X.
    Lloyd, J.
    Lott, F.
    Madec, G.
    Mancip, M.
    Marchand, M.
    Masson, S.
    Meurdesoif, Y.
    Mignot, J.
    [J]. CLIMATE DYNAMICS, 2013, 40 (9-10) : 2123 - 2165
  • [5] A bias-corrected CMIP5 dataset for Africa using the CDF-t method - a contribution to agricultural impact studies
    Famien, Adjoua Moise
    Janicot, Serge
    Ochou, Abe Delfin
    Vrac, Mathieu
    Defrance, Dimitri
    Sultan, Benjamin
    Noel, Thomas
    [J]. EARTH SYSTEM DYNAMICS, 2018, 9 (01) : 313 - 338
  • [6] Adjusting climate model bias for agricultural impact assessment: How to cut the mustard
    Galmarini, S.
    Cannon, Aj
    Ceglar, A.
    Christensen, O. B.
    de Noblet-Ducoudre, N.
    Dentener, F.
    Doblas-Reyes, F. J.
    Dosio, A.
    Gutierrez, J. M.
    Iturbide, M.
    Jury, M.
    Lange, S.
    Loukos, H.
    Maiorano, A.
    Maraun, D.
    McGinnis, S.
    Nikulin, G.
    Riccio, A.
    Sanchez, E.
    Solazzo, E.
    Toreti, A.
    Vrac, M.
    Zampieri, M.
    [J]. CLIMATE SERVICES, 2019, 13 : 65 - 69
  • [7] The ERA5 global reanalysis
    Hersbach, Hans
    Bell, Bill
    Berrisford, Paul
    Hirahara, Shoji
    Horanyi, Andras
    Munoz-Sabater, Joaquin
    Nicolas, Julien
    Peubey, Carole
    Radu, Raluca
    Schepers, Dinand
    Simmons, Adrian
    Soci, Cornel
    Abdalla, Saleh
    Abellan, Xavier
    Balsamo, Gianpaolo
    Bechtold, Peter
    Biavati, Gionata
    Bidlot, Jean
    Bonavita, Massimo
    De Chiara, Giovanna
    Dahlgren, Per
    Dee, Dick
    Diamantakis, Michail
    Dragani, Rossana
    Flemming, Johannes
    Forbes, Richard
    Fuentes, Manuel
    Geer, Alan
    Haimberger, Leo
    Healy, Sean
    Hogan, Robin J.
    Holm, Elias
    Janiskova, Marta
    Keeley, Sarah
    Laloyaux, Patrick
    Lopez, Philippe
    Lupu, Cristina
    Radnoti, Gabor
    de Rosnay, Patricia
    Rozum, Iryna
    Vamborg, Freja
    Villaume, Sebastien
    Thepaut, Jean-Noel
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2020, 146 (730) : 1999 - 2049
  • [8] Levavasseur G., 2021, DATA REFERENCE SYNTA, DOI [10.31223/X5389H, DOI 10.31223/X5389H]
  • [9] Bias Correcting Climate Change Simulations - a Critical Review
    Maraun, Douglas
    [J]. CURRENT CLIMATE CHANGE REPORTS, 2016, 2 (04): : 211 - 220
  • [10] Probabilistic downscaling approaches: Application to wind cumulative distribution functions
    Michelangeli, P. -A.
    Vrac, M.
    Loukos, H.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2009, 36
12