Abstract

For the construction of regional climate change scenarios spanning a relevant fraction of the spread in climate model projections, an inventory of major drivers of regional climate change is needed. For the Netherlands, a previous set of regional climate change scenarios was based on the decomposition of local temperature/precipitation changes into components directly linked to the level of global warming, and components related to changes in the regional atmospheric circulation. In this study this decomposition is revisited utilizing the extensive modelling results from the CMIP5 model ensemble in support for the 5th IPCC assessment. Rather than selecting a number of GCMs based on performance metrics or relevant response features, a regression technique was developed to utilize all available model projections. The large number of projections allows a quantification of the separate contributions of emission scenarios, systematic model responses and natural variability to the total likelihood range. Natural variability plays a minor role in modelled differences in the global mean temperature response, but contributes for up to 50 % to the range of mean sea level pressure responses and local precipitation. Using key indicators (“steering variables”) for the temperature and circulation response, the range in local seasonal mean temperature and precipitation responses can be fairly well reproduced.

Highlights

  • For many places in the world, climate change projections are an important source of information about changes in the characteristics of the local climate

  • For the Netherlands, a previous set of regional climate change scenarios was based on the decomposition of local temperature/precipitation changes into components directly linked to the level of global warming, and components related to changes in the regional atmospheric circulation

  • Unlike the previous set of KNMI climate scenarios, no selection of the available Global Climate Model (GCM) projections has been applied based on a metric such as the one proposed by Reichler and Kim (2008)

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Summary

Introduction

For many places in the world, climate change projections are an important source of information about changes in the characteristics of the local climate. Results from the GCM projections from the 5th Coupled Model Intercomparison Project CMIP5 (Taylor et al 2011) driven by 4 different Representative Concentration Pathways (RCPs) were released This large ensemble of projections is used to reassess the degree to which uncertainty in local responses can be described by a combination of only two steering variables. This assessment supports the construction of a new set of regional climate change scenarios, based on the updated information from the new climate model projections. In a final results section the new steering variables are presented and briefly compared to KNMI’06, and we conclude with some final remarks on the use of the steering variables

Rationale and basic methodology
Available model data
Global and regional temperature response
Response in surface pressure
Pressure fields related to local temperature and precipitation response
Natural variability
Findings
Discussion and conclusions
Full Text
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