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Open AccessJournal ArticleDOI

Evaluation of the AR4 Climate Models’ Simulated Daily Maximum Temperature, Minimum Temperature, and Precipitation over Australia Using Probability Density Functions

TLDR
The coupled climate models used in the Fourth Assessment Report of the Intergovernmental Panel on Climate Change are evaluated in this paper, focusing on 12 regions of Australia for the daily simulation of precipitation, minimum temperature, and maximum temperature.
Abstract
The coupled climate models used in the Fourth Assessment Report of the Intergovernmental Panel on Climate Change are evaluated The evaluation is focused on 12 regions of Australia for the daily simulation of precipitation, minimum temperature, and maximum temperature The evaluation is based on probability density functions and a simple quantitative measure of how well each climate model can capture the observed probability density functions for each variable and each region is introduced Across all three variables, the coupled climate models perform better than expected Precipitation is simulated reasonably by most and very well by a small number of models, although the problem with excessive drizzle is apparent in most models Averaged over Australia, 3 of the 14 climate models capture more than 80% of the observed probability density functions for precipitation Minimum temperature is simulated well, with 10 of the 13 climate models capturing more than 80% of the observed probability densit

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Citations
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Journal ArticleDOI

Challenges in Combining Projections from Multiple Climate Models

TL;DR: While the multimodel average appears to still be useful in some situations, the results show that more quantitative methods to evaluate model performance are critical to maximize the value of climate change projections from global models.
Journal ArticleDOI

On the Measurement of Heat Waves

TL;DR: In this paper, a set of three heat wave definitions, derived from surveying heat-related indices in the climate science literature, were employed to measure heat wave number, duration, participating days, and peak and mean magnitudes.
Journal ArticleDOI

Attribution of extreme weather and climate-related events

TL;DR: This work states that the development of operational event attribution would allow a more timely and methodical production of attribution assessments than currently obtained on an ad hoc basis and requires the continuing development of methodologies to assess the reliability of event attribution results.
Journal ArticleDOI

Evaluating the Land and Ocean Components of the Global Carbon Cycle in the CMIP5 Earth System Models

TL;DR: In this paper, the authors assess the ability of 18 Earth system models to simulate the land and ocean carbon cycle for the present climate and find that the models correctly reproduce the main climatic variables controlling the spatial and temporal characteristics of the carbon cycle.
Journal ArticleDOI

Assessing trends in observed and modelled climate extremes over Australia in relation to future projections

TL;DR: In this article, multiple simulations from nine globally coupled climate models were assessed for their ability to reproduce observed trends in a set of indices representing temperature and precipitation extremes over Australia over the period 1957-1999 were compared with individual and multi-modelled trends calculated over the same period.
References
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Journal ArticleDOI

Climate change 2001: the scientific basis

TL;DR: In this article, the authors present an overview of the climate system and its dynamics, including observed climate variability and change, the carbon cycle, atmospheric chemistry and greenhouse gases, and their direct and indirect effects.
Journal ArticleDOI

Summarizing multiple aspects of model performance in a single diagram

TL;DR: In this article, a diagram has been devised that can provide a concise statistical summary of how well patterns match each other in terms of their correlation, their root-mean-square difference, and the ratio of their variances.
Journal ArticleDOI

Climate Extremes: Observations, Modeling, and Impacts

TL;DR: Results of observational studies suggest that in many areas that have been analyzed, changes in total precipitation are amplified at the tails, and changes in some temperature extremes have been observed.
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