Spectral Approach to Optimal Estimation of the Global Average Temperature

1994 ◽  
Vol 7 (12) ◽  
pp. 1999-2007 ◽  
Author(s):  
Samuel S. P. Shen ◽  
Gerald R. North ◽  
Kwang-Y. Kim
2014 ◽  
Vol 41 (6) ◽  
pp. 2093-2099 ◽  
Author(s):  
Sandra Banholzer ◽  
Simon Donner

2017 ◽  
Vol 05 (03) ◽  
pp. 1750020
Author(s):  
Ying CHEN

In the face of the severe challenge of global climate change, all countries find it difficult to hold the increase in the global average temperature to well below 2[Formula: see text]C above pre-industrial levels, let alone 1.5[Formula: see text]C. In recent years, geoengineering has gained increasingly more attention from the international community as an unconventional option to deal with climate change, and it has also provoked heated debates. This paper attempts to sort out related concepts, the focus of controversies and the research progress in terms of geoengineering, analyzes the international background of heated debate over geoengineering, probes into the governance of geoengineering under the framework of coping with climate change, and offers some suggestions for China to make strategic plans for geoengineering development.


2017 ◽  
Vol 98 (9) ◽  
pp. 1841-1856 ◽  
Author(s):  
Ed Hawkins ◽  
Pablo Ortega ◽  
Emma Suckling ◽  
Andrew Schurer ◽  
Gabi Hegerl ◽  
...  

Abstract The United Nations Framework Convention on Climate Change (UNFCCC) process agreed in Paris to limit global surface temperature rise to “well below 2°C above pre-industrial levels.” But what period is preindustrial? Somewhat remarkably, this is not defined within the UNFCCC’s many agreements and protocols. Nor is it defined in the IPCC’s Fifth Assessment Report (AR5) in the evaluation of when particular temperature levels might be reached because no robust definition of the period exists. Here we discuss the important factors to consider when defining a preindustrial period, based on estimates of historical radiative forcings and the availability of climate observations. There is no perfect period, but we suggest that 1720–1800 is the most suitable choice when discussing global temperature limits. We then estimate the change in global average temperature since preindustrial using a range of approaches based on observations, radiative forcings, global climate model simulations, and proxy evidence. Our assessment is that this preindustrial period was likely 0.55°–0.80°C cooler than 1986–2005 and that 2015 was likely the first year in which global average temperature was more than 1°C above preindustrial levels. We provide some recommendations for how this assessment might be improved in the future and suggest that reframing temperature limits with a modern baseline would be inherently less uncertain and more policy relevant.


The outbreak of the novel coronavirus and the associated COVID-19 is causing an abrupt reduction in industrial activity. As a result of the associated reduction in the aerosol masking effect (“global dimming”), Earth might experience an abrupt rise in global-average temperature. The current temperature of Earth is the highest with Homo sapiens present, suggesting that an abrupt rise in global-average temperature could destroy habitat for humans on Earth. Human extinction could result.


2005 ◽  
Vol 18 (11) ◽  
pp. 1753-1772 ◽  
Author(s):  
Karen M. Shell ◽  
Richard C. J. Somerville

Abstract Energy balance models have proven useful in understanding mechanisms and feedbacks in the climate system. An original global energy balance model is presented here. The model is solved numerically for equilibrium climate states defined by zonal average temperature as a function of latitude for both a surface and an atmospheric layer. The effects of radiative, latent, and sensible heating are parameterized. The model includes a variable lapse rate and parameterizations of the major dynamical mechanisms responsible for meridional heat transport: the Hadley cell, midlatitude baroclinic eddies, and ocean circulation. The model reproduces both the mean variation of temperature with latitude and the global average heat budget within the uncertainty of observations. The utility of the model is demonstrated through examination of various climate feedbacks. One important feedback is the effect of the lapse rate on climate. When the planet warms as a result of an increase in the solar constant, the lapse rate acts as a negative feedback, effectively enhancing the longwave emission efficiency of the atmosphere. The lapse rate is also responsible for an increase in global average temperature when the meridional heat transport effectiveness is increased. The water vapor feedback enhances temperature changes, while the latent and sensible heating feedback reduces surface temperature changes.


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