Sub-seasonal to decadal predictions in support of climate services

被引：3

作者：

Osman, Marisol ^{[1
,2
,3
,4
,11
]}

Domeisen, Daniela I. V. ^{[5
,6
]}

Robertson, Andrew W. ^{[7
]}

Weisheimer, Antje ^{[8
,9
,10
]}

机构：

[1] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Ciencias Atmosfera & Oceanos Buenos Aires, Buenos Aires, Argentina

[2] Univ Buenos Aires, CONICET, Ctr Invest Mary Atmosfera CIMA, Buenos Aires, Argentina

[3] CNRS IRD CONICET UBA, Inst Franco Argentino Estudio Clima Impactos IRL I, Buenos Aires, Argentina

[4] Karlsruhe Inst Technol KIT, Inst Meteorol & Climate Res IMK TRO, Dept Troposphere Res, Karlsruhe, Germany

[5] Univ Lausanne, Lausanne, Switzerland

[6] Swiss Fed Inst Technol, Zurich, Switzerland

[7] Columbia Univ, Int Res Inst Climate & Soc, Columbia Climate Sch, Palisades, NY USA

[8] European Ctr Medium Range Weather Forecasts, Reading, England

[9] Univ Oxford, Dept Phys Atmospher Ocean & Planetary Phys, Oxford, England

[10] Natl Ctr Atmospher Sci NCAS, Oxford, England

[11] Ctr Invest Mar & Atmosfera CIMA, CONICET, CONICET UBA Intendente Guiraldes 2160,Ciudad Unive, RA-C1428EGA Buenos Aires, Argentina

来源：

CLIMATE SERVICES | 2023年 / 30卷

关键词：

D O I：

10.1016/j.cliser.2023.100397

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

引用

页数：4

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