Abstract

Assessing multiple climatic and non-climatic variables affecting one region at the same time is a crucial aspect to support climate adaptation action. This publication presents a method to display relevant measures of any three adaptation relevant parameters (or optionally their projected future changes) at once on a map by allocating them to multiple transparency levels of the three primary colors of additive color mixing (red, green, and blue). The overlay of information allows the combined assessment of the regional exposures. The method is demonstrated by two examples based on an ensemble of regional climate projections analyzed for 1.5 °C, 2 °C, and 3 °C global warming periods. The first example shows the increasing number of people at risk for summer climate extremes under 1.5 °C, 2 °C, and 3 °C global warming by combining projected increases in tropical nights and summer intense precipitation days with today’s population density. Under 3 °C global warming, many heavily populated areas across Europe are affected by both heat stress and summer precipitation extremes, whereas under 1.5 °C global warming, heat stress regions are restricted to southern Europe and the large settlements along the Eastern Mediterranean coast. A second example combines daily mean and minimum and maximum summer temperatures and highlights the regional expansion and the increasing robustness of projected mean summer warming with rising global warming levels, as well as the regional day to night differences of the warming signal.

Highlights

  • Climate change is manifested by many interconnected aspects

  • In addition to the possibility to examine the change of three different parameters, this method allows for an evaluation of the robustness of the change, i.e., the level of agreement across a number of climate model projections

  • To account for the bandwidth of the ensemble of the projected climatic changes, four simulation agreement level (SAL) were defined: opacity = 0: less than 50% of the simulations project changes fulfilling the predefined criterion (SAL no); opacity = 0.33: between 50% and 70% of the simulations project changes fulfilling the pre-defined criterion (SAL Blow^); opacity = 0.66: between 70% and 90% of the simulations project changes fulfilling the pre-defined criterion (SAL Bmiddle^); opacity = 1; more than 90% of the simulations of the ensemble project changes fulfilling the pre-defined criterion(SAL Bhigh^)

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Summary

Introduction

Climate change is manifested by many interconnected aspects. In many cases, one parameter or one process is studied in isolation to reduce the complexity of the system and gain an in-depth understanding for this particular aspect. In addition to the possibility to examine the change of three different parameters, this method allows for an evaluation of the robustness of the change, i.e., the level of agreement across a number of climate model projections.

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