scholarly journals Better Data for Modeling the Sun’s Influence on Climate

Eos ◽  
2018 ◽  
Vol 99 ◽  
Author(s):  
T. Dudok de Wit ◽  
B. Funke ◽  
M. Haberreiter ◽  
K. Matthes
Keyword(s):  
Solar Variability ◽  
Climate Response ◽  
Solar Forcing ◽  
Earth’S Climate

Several international initiatives are working to stitch together data describing solar forcing of Earth’s climate. Their objective is to improve understanding of climate response to solar variability.

scholarly journals Solar influence on Earth's climate

2015 ◽  
Vol 11 (A29A) ◽  
pp. 372-376
Author(s):  
Rémi Thiéblemont ◽  
Katja Matthes
Keyword(s):  
Solar Variability ◽  
Special Focus ◽  
Solar Forcing ◽  
Top Down ◽  
Natural Climate Variability ◽  
System A ◽  
Earth’S Climate ◽  
Natural Climate ◽  
Solar Influence ◽  
Coupling Mechanisms

AbstractUnderstanding the influence of solar variability on the Earth's climate requires knowledge of solar variability, solar-terrestrial interactions and observations, as well as mechanisms determining the response of the Earth's climate system. A summary of our current understanding from observational and modeling studies is presented with special focus on the “top-down” stratospheric UV and the “bottom-up” air-sea coupling mechanisms linking solar forcing and natural climate variability.

scholarly journals Earth's climate response to a changing Sun

2020 ◽  
Author(s):  
 Katja Matthes ◽  
Thierry Dudok de Wit ◽  
Jean Lilensten
Keyword(s):  
Climate Response ◽  
Earth’S Climate

scholarly journals The HadGEM2-ES implementation of CMIP5 centennial simulations

2011 ◽  
Vol 4 (1) ◽  
pp. 689-763 ◽  
Author(s):  
C. D. Jones ◽  
J. K. Hughes ◽  
N. Bellouin ◽  
S. C. Hardiman ◽  
G. S. Jones ◽  
...  
Keyword(s):  
Tropospheric Ozone ◽  
Climate System ◽  
Climate Response ◽  
Earth System ◽  
Central Question ◽  
Simulated Climate ◽  
Climate Forcings ◽  
Earth’S Climate ◽  
Hadley Centre ◽  
Earth System Models

Abstract. The scientific understanding of the Earth's climate system, including the central question of how the climate system is likely to respond to human-induced perturbations, is comprehensively captured in GCMs and Earth System Models(ESM). Diagnosing the simulated climate response, and comparing responses across different models, is crucially dependent on transparent assumptions of how the GCM/ESM has been driven – especially because the implementation can involve subjective decisions and may differ between modelling groups performing the same experiment. This paper outlines the climate forcings and setup of the Met Office Hadley Centre ESM, HadGEM2-ES for the CMIP5 set of centennial experiments. We document the prescribed greenhouse gas concentrations, aerosol precursors, stratospheric and tropospheric ozone assumptions, as well as implementation of land-use change and natural forcings for the HadGEM2-ES historical and future experiments following the Representative Concentration Pathways. In addition, we provide details of how HadGEM2-ES ensemble members were initialised from the control run and how the palaeoclimate and AMIP experiments, as well as the "emission-driven" RCP experiments were performed.

scholarly journals Interhemispheric effect of global geography on Earth's climate response to orbital forcing

2019 ◽  
Vol 15 (1) ◽  
pp. 377-388
Author(s):  
Rajarshi Roychowdhury ◽  
Robert DeConto
Keyword(s):  
Climate Model ◽  
Global Climate ◽  
Global Climate Model ◽  
Climate Response ◽  
Orbital Forcing ◽  
Climate Data ◽  
Unequal Distribution ◽  
Summer Temperatures ◽  
Earth’S Climate ◽  
Climate Responses

Abstract. The climate response of the Earth to orbital forcing shows a distinct hemispheric asymmetry due to the unequal distribution of land in the Northern Hemisphere versus Southern Hemisphere. This asymmetry is examined using a global climate model (GCM) for different climate responses such as mean summer temperatures and positive degree days. A land asymmetry effect (LAE) is quantified for each hemisphere and the results show how changes in obliquity and precession translate into variations in the calculated LAE. We find that the global climate response to specific past orbits is likely unique and modified by complex climate–ocean–cryosphere interactions that remain poorly known. Nonetheless, these results provide a baseline for interpreting contemporaneous proxy climate data spanning a broad range of latitudes, which may be useful in paleoclimate data–model comparisons, and individual time-continuous records exhibiting orbital cyclicity.

scholarly journals Solar cycles or random processes? Evaluating solar variability in Holocene climate records

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
T. Edward Turner ◽  
Graeme T. Swindles ◽  
Dan J. Charman ◽  
Peter G. Langdon ◽  
Paul J. Morris ◽  
...  
Keyword(s):  
Solar Variability ◽  
Solar Cycles ◽  
Climate Data ◽  
Critical Approach ◽  
Solar Forcing ◽  
Holocene Climate ◽  
Proxy Records ◽  
Wide Range ◽  
Solar Type

Abstract Many studies have reported evidence for solar-forcing of Holocene climate change across a range of archives. These studies have compared proxy-climate data with records of solar variability (e.g. 14C or 10Be), or have used time series analysis to test for the presence of solar-type cycles. This has led to some climate sceptics misrepresenting this literature to argue strongly that solar variability drove the rapid global temperature increase of the twentieth century. As proxy records underpin our understanding of the long-term processes governing climate, they need to be evaluated thoroughly. The peatland archive has become a prominent line of evidence for solar forcing of climate. Here we examine high-resolution peatland proxy climate data to determine whether solar signals are present. We find a wide range of significant periodicities similar to those in records of solar variability: periods between 40–100 years, and 120–140 years are particularly common. However, periodicities similar to those in the data are commonly found in random-walk simulations. Our results demonstrate that solar-type signals can be the product of random variations alone, and that a more critical approach is required for their robust interpretation.

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