วันจันทร์ที่ 23 กันยายน พ.ศ. 2556

Now available: a guide to the IPCC's new RCP emissions pathways | Graham Wayne


New PCR

IPCC describes four scenarios of how the world might change in the future, climate research and modeling

When I started looking for a refutation of the myth that the future rise in sea level had been exaggerated for skeptical science, recent work often called "Roads concentration Representative (PCR).

PCR replaced the Special Report on Emissions Scenarios (SRES) and used in the Working Group I: The Physical Science Basis, the first part of next assessment report of the IPCC Five (AR5) , to be published in mid-September.

Need more information

I searched "summary" practice CPR data, science and development. There was not one. When I discovered what I wanted to hear from the primary literature, I did not realize a practical guide / reference would be a useful thing to have fucked. I suppose you've already guessed what I do next?

PCR are the third generation of scenarios. The first set - IS92 - were published in 1992. In 2000, the second generation - SRES - were released. The latter are currently used PCR.

Like its predecessors, the representative concentration pathways are a set of rules used mainly by climate models. Research is being conducted in many countries, and the PCR provides a common approach, based on an agreement on climate change modeling. The data sets are used to initialize the models that everyone starts from a place everyone can understand, using the values ??everyone knows. PCR reduce duplication and save money, climate modeling is an expensive business. They also provide a way to compare the results and conclusions to communicate easily in a wide range of interests.



So what are the representative concentration pathways? There are four: RCP8.5, RCP6, RCP4.5 and RCP2.6 (the latter also known as RCP3PD, where 'right' means the peak and decline). The numbers refer to the radiative forcing (global imbalances of energy), measured in watts per square meter in 2100.

Each PCR was developed independently by a modeling team whose previous job was a close match starting requirements for new scenarios. To determine the trajectories of emissions and forcing each PCR, review teams of the literature and summarized values ??for a wide range of scientific and socio-economic data, such as population growth, GDP, air pollution, land use and energy sources.

Why do we need new scenarios? One reason is efficiency, PCR allows greater flexibility (and cost reduction) in the modeling process. Perhaps the most important improvement is that unlike SRES, PCR allows teams to test various social initiatives, legislative and other political and economic effects and see results mitigation and adaptation to environment.


variations in socio-economic models are called stories (or stories) and should be a key element of the ongoing research on the best way to fight against climate change at regional and global levels. The IPCC AR5 Group 2, "Impacts, Adaptation and Vulnerability", published in March 2014 a report on the new "" common socio-economic pathways (SSP).

Climate models are essential and valuable tools. Despite many critics, there were many predictions that the main criticism must be that they are too conservative. Even the early models of gross proved surprisingly accurate, you can read here

Understanding scenarios help us to understand the reasons and the information they produce .. Science Concentration Representative Sceptic Beginner Pathways Guide available as an online resource (also available in PDF). The guide is divided into three parts: In Part 1, we explore the historical background explains why scenarios are needed, and who uses them. Part 2 begins with a review of the application of new scenarios, and describes their development. In Part 3, we examine the scenarios in detail, considering the technical aspects, the differences between the four regional consultative processes, and how they compare to previous SRES scenarios. The public can also use the database CPR, the central resource for data that make up each track.
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