van Vuuren, D.P., Edmonds, J., Smith, S.J., Calvin, K., Karas, J., Kainuma, M., Nakicenovic, N. ORCID: https://orcid.org/0000-0001-7176-4604, Riahi, K. ORCID: https://orcid.org/0000-0001-7193-3498, Ruijven, B.J. van, Stewart, R., & Thomson, A. (2010). What do near-term observations tell us about long-term developments in greenhouse gas emissions? Climatic Change 103 (3) 635-642. 10.1007/s10584-010-9940-4.
Full text not available from this repository.Abstract
Long-term scenarios developed by integrated assessment models are used in climate research to provide an indication of plausible long-term emissions of greenhouse gases and other radiatively active substances based on developments in the global energy system, land-use and the emissions associated with these systems. The phenomena that determine these long-term developments (several decades or even centuries) are very different than those that operate on a shorter time-scales (a few years). Nevertheless, in the literature, we still often find direct comparisons between short-term observations and long-tem developments that do not take into account the differing dynamics over these time scales. In this leter, we discuss some of the differences between the factors that operate in the short term and those that operate in the long term. We use long-term historical emissions trends to show that short-term observations are very poor indicators of long-term future emissions developments. Based on this, we conclude that the performance of long-term scenarios should be evaluated against the appropriate, corresponding long-term variables and trends. The research community may facilitate this by developing appropriate data sets and protocols that can be used to test the performance of long-term scenarios and the models that produce them.
Item Type: | Article |
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Research Programs: | Energy (ENE) Transitions to New Technologies (TNT) |
Bibliographic Reference: | Climatic Change; 103(3-4):635-642 (December 2010) (Published online 26 October 2010) |
Depositing User: | IIASA Import |
Date Deposited: | 15 Jan 2016 08:43 |
Last Modified: | 27 Aug 2021 17:21 |
URI: | https://pure.iiasa.ac.at/9174 |
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