Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 407538
Title What do near-term observations tell us about long-term developments in greenhouse gas emissions? A letter
Author(s) Vuuren, D.P. van; Edmonds, J.; Smith, S.J.; Calvin, K.V.; Karas, J.; Kainuma, M.; Nakicenovic, N.; Riahi, K.; Ruijven, B.J.; Swart, R.J.; Thomson, A.
Source Climatic Change 103 (2010)3-4. - ISSN 0165-0009 - p. 635 - 642.
Department(s) CWC - Earth System Science and Climate Change
Publication type Refereed Article in a scientific journal
Publication year 2010
Keyword(s) carbon-dioxide - sres scenarios - energy - future - trends - model
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-term developments that do not take into account the differing dynamics over these time scales In this letter, 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
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