COP21 climate negotiators’ responses to climate model forecasts
نویسندگان
چکیده
منابع مشابه
Climate negotiators’ and scientists’ assessments of the climate negotiations
Climate negotiation outcomes are difficult to evaluate objectively because there are no clear reference scenarios. Subjective assessments from those directly involved in the negotiations are particularly important, as this may influence strategy and future negotiation participation. Here we analyze the perceived success of the climate negotiations in a sample of more than 600 experts involved i...
متن کاملThe implications of COP21 for our future climate
Rising CO2 in the atmosphere is the main cause of anthropogenic climate change, and the data shows a clear increase in global temperature of about 1 °C since pre-industrial levels. Changes in climate extremes are also occurring, with observed increases in the frequency of heat waves, in intense precipitation (rainfall and snowfall) in many places, and in sea level and storm surges. A changing c...
متن کاملIntra-seasonal climate prediction - linking Weather and Climate Forecasts
The Madden-Julian Oscillation (MJO) is a tropical atmospheric phenomenon, associated with periods of active convection in the eastern hemisphere tropics.The MJOs temporal scale (22-90 days) coincides with a gap between weather (synoptic forecasts out to 10 days) and climate (seasonal and longer forecasts).Analysis of 35 years of daily rainfall data shows significant modulation of tropical and e...
متن کاملEvolutionary responses to climate change.
DAVID K. SKELLY,∗†‡‡ LIANA N. JOSEPH,‡ HUGH P. POSSINGHAM,‡ L. KEALOHA FREIDENBURG,∗† THOMAS J. FARRUGIA,§ MICHAEL T. KINNISON,∗∗ AND ANDREW P. HENDRY§ ∗School of Forestry & Environmental Studies, Yale University, New Haven, CT 06511, U.S.A. †Department of Ecology & Evolutionary Biology, Yale University, New Haven, CT 06520, U.S.A. ‡School of Integrative Biology, University of Queensland, St Lu...
متن کاملWhat might we learn from climate forecasts?
Most climate models are large dynamical systems involving a million (or more) variables on big computers. Given that they are nonlinear and not perfect, what can we expect to learn from them about the earth's climate? How can we determine which aspects of their output might be useful and which are noise? And how should we distribute resources between making them "better," estimating variables o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Nature Climate Change
سال: 2017
ISSN: 1758-678X,1758-6798
DOI: 10.1038/nclimate3208