Abstract

Climate simulations show consistent large-scale temperature responses including amplified land–ocean contrast, high-latitude/low-latitude contrast, and changes in seasonality in response to year-round forcing, in both warm and cold climates, and these responses are proportional and nearly linear across multiple climate states. We examine the possibility that a small set of common mechanisms controls these large-scale responses using a simple energy-balance model to decompose the temperature changes shown in multiple lgm and abrupt4 × CO 2 simulations from the CMIP5 archive. Changes in the individual components of the energy balance are broadly consistent across the models. Although several components are involved in the overall temperature responses, surface downward clear-sky longwave radiation is the most important component driving land–ocean contrast and high-latitude amplification in both warm and cold climates. Surface albedo also plays a significant role in promoting high-latitude amplification in both climates and in intensifying the land–ocean contrast in the warm climate case. The change in seasonality is a consequence of the changes in land–ocean and high-latitude/low-latitude contrasts rather than an independent temperature response. This is borne out by the fact that no single component stands out as being the major cause of the change in seasonality, and the relative importance of individual components is different in cold and warm climates.

Highlights

  • There are a number of common large-scale temperature responses to changes in forcing in simulations of past, historical, and future climates (Izumi et al 2013), including (1) the differential responses of land and ocean to global warming or cooling, i.e. changes in the land–ocean contrast, (2) the tendency for temperature changes in the higher latitudes to be more extreme than changes in the tropics, i.e. high-latitude amplification, and (3) changes in seasonality in response to year-round changes in forcing

  • While several energy-balance components are involved in surface temperature changes, only certain components show robust and consistent patterns across multiple models in both warm and cold climates

  • Our results identify surface downward clear-sky longwave radiation (LW #csulrrf ) as the most important component in the amplification of land–ocean contrast in both warm and cold climates in all regions and seasons

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Summary

Introduction

There are a number of common large-scale temperature responses to changes in forcing in simulations of past, historical, and future climates (Izumi et al 2013), including (1) the differential responses of land and ocean to global warming or cooling, i.e. changes in the land–ocean contrast, (2) the tendency for temperature changes in the higher latitudes to be more extreme than changes in the tropics, i.e. high-latitude amplification, and (3) changes in seasonality in response to year-round changes in forcing. Polar amplification is generally defined as trends (and variability) in near-surface air temperature that are larger in the Arctic/Antarctic regions than for the northern/ southern hemisphere or globe as a whole (Serreze and Barry 2011; Taylor et al 2013) This response is a nearuniversal feature of climate-model simulations under greenhouse gas-induced climate changes (e.g. Manabe and Stouffer 1980; Holland and Bitz 2003; Winton 2006), and is seen in palaeoclimate simulations (e.g. MassonDelmotte et al 2006; Brady et al 2013; Kageyama et al 2013). Climate models project a reduction in the amplitude of the seasonal cycle of near-surface air temperature over high-latitude regions due to late fall and early winter warming under greenhouse gas-induced warmer climates (e.g. Manabe and Stouffer 1980; Mann and Park 1996; Biasutti and Sobel 2009; Dwyer et al 2012), and an increase in the amplitude of the seasonal cycle at the LGM (Izumi et al 2013).

Data and analysis
À asurf SW
Responses of the global surface flux change
Key components of the large-scale temperature responses
Land–ocean contrast
High-latitude amplification
Seasonality changes
Findings
Discussion and conclusions
Full Text
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