TY - CHAP
T1 - Near-term climate change
T2 - Projections and predictability
AU - Kirtman, Ben
AU - Power, Scott B.
AU - Adedoyin, Akintayo John
AU - Boer, George J.
AU - Bojariu, Roxana
AU - Camilloni, Ines
AU - Doblas-Reyes, Francisco
AU - Fiore, Arlene M.
AU - Kimoto, Masahide
AU - Meehl, Gerald
AU - Prather, Michael
AU - Sarr, Abdoulaye
AU - Schär, Christoph
AU - Sutton, Rowan
AU - van Oldenborgh, Geert Jan
AU - Vecchi, Gabriel
AU - Wang, Hui Jun
N1 - Publisher Copyright:
© Intergovernmental Panel on Climate Change 2014.
PY - 2013/1/1
Y1 - 2013/1/1
N2 - Executive Summary. This chapter assesses the scientific literature describing expectations for near-term climate (present through mid-century). Unless otherwise stated, ‘near-term’ change and the projected changes below are for the period 2016-2035 relative to the reference period 1986-2005. Atmospheric composition (apart from CO2; see Chapter 12) and air quality projections through to 2100 are also assessed. Decadal Prediction. The nonlinear and chaotic nature of the climate system imposes natual limits on the extent to which skilful predictions of climate statistics may be made. M.del-based ‘predictability’ studies, which probe these limits and investigate the physical mechanisms involved, support the potential for the skilful prediction of annual to decadal average temperature and, to a lesser extent precipitation. Predictions for averages of temperature, over large regions of the planet and for the global mean, exhibit positive skill when verified against observations for forecast periods up to ten years (high confidence). Predictions of precipitation over some land areas also exhibit positive skill. Decadal prediction is a new endeavour in climate science. The level of quality for climate predictions of annual to decadal average quantities is assessed from the past performance of initialized predictions and non-initialized simulations. {11.2.3, Figures 11.3 and 11.4}. In current results, observation-based initialization is the dominant contributor to the skill of predictions of annual mean temperature for the first few years and to the skill of predictions of the global mean surface temperature and the temperature over the North Atlantic, regions of the South Pacific and the tropical Indian Ocean for longer periods (high confidence).
AB - Executive Summary. This chapter assesses the scientific literature describing expectations for near-term climate (present through mid-century). Unless otherwise stated, ‘near-term’ change and the projected changes below are for the period 2016-2035 relative to the reference period 1986-2005. Atmospheric composition (apart from CO2; see Chapter 12) and air quality projections through to 2100 are also assessed. Decadal Prediction. The nonlinear and chaotic nature of the climate system imposes natual limits on the extent to which skilful predictions of climate statistics may be made. M.del-based ‘predictability’ studies, which probe these limits and investigate the physical mechanisms involved, support the potential for the skilful prediction of annual to decadal average temperature and, to a lesser extent precipitation. Predictions for averages of temperature, over large regions of the planet and for the global mean, exhibit positive skill when verified against observations for forecast periods up to ten years (high confidence). Predictions of precipitation over some land areas also exhibit positive skill. Decadal prediction is a new endeavour in climate science. The level of quality for climate predictions of annual to decadal average quantities is assessed from the past performance of initialized predictions and non-initialized simulations. {11.2.3, Figures 11.3 and 11.4}. In current results, observation-based initialization is the dominant contributor to the skill of predictions of annual mean temperature for the first few years and to the skill of predictions of the global mean surface temperature and the temperature over the North Atlantic, regions of the South Pacific and the tropical Indian Ocean for longer periods (high confidence).
UR - https://www.scopus.com/pages/publications/84928617872
U2 - 10.1017/CBO9781107415324.023
DO - 10.1017/CBO9781107415324.023
M3 - Chapter
AN - SCOPUS:84928617872
SN - 9781107057999
VL - 9781107057999
SP - 953
EP - 1028
BT - Climate Change 2013 – The Physical Science Basis
PB - Cambridge University Press
ER -