Strategies for reducing the climate noise in model simulations: ensemble runs versus a long continuous run

Verfasser / Beitragende:
[Damien Decremer, Chul Chung, Petri Räisänen]
Ort, Verlag, Jahr:
2015
Enthalten in:
Climate Dynamics, 44/5-6(2015-03-01), 1367-1379
Format:
Artikel (online)
ID: 605473951
LEADER caa a22 4500
001 605473951
003 CHVBK
005 20210128100345.0
007 cr unu---uuuuu
008 210128e20150301xx s 000 0 eng
024 7 0 |a 10.1007/s00382-014-2161-1  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s00382-014-2161-1 
245 0 0 |a Strategies for reducing the climate noise in model simulations: ensemble runs versus a long continuous run  |h [Elektronische Daten]  |c [Damien Decremer, Chul Chung, Petri Räisänen] 
520 3 |a Climate modelers often integrate the model with constant forcing over a long time period, and make an average over the period in order to reduce climate noise. If the time series is persistent, as opposed to rapidly varying, such an average does not reduce noise efficiently. In this case, ensemble runs, which ideally represent independent runs, can reduce noise more efficiently. We quantify the noise reduction gain by using ensemble runs over a long continuous run in constant‐forcing simulations. We find that in terms of the amplitude of the noise, a continuous simulation of 30years may be equivalent to as few as five 3-year long ensemble runs in a slab ocean-atmosphere coupled model and as few as two 3-year long ensemble runs in a fully coupled model. The outperformance of ensemble runs over a continuous run is strictly a function of the persistence of the time series. We find that persistence depends on model, location and variable, and that persistence in surface air temperature has robust spatial structures in coupled models. We demonstrate that lag-1year autocorrelation represents persistence fairly well, but the use of lag-1year-lag-5years autocorrelations represents the persistence far more sufficiently. Furthermore, there is more persistence in coupled model output than in the output of a first-order autoregressive model with the same lag-1 autocorrelation. 
540 |a Springer-Verlag Berlin Heidelberg, 2014 
690 7 |a Internal variability  |2 nationallicence 
690 7 |a Ensemble simulation  |2 nationallicence 
690 7 |a Climate noise  |2 nationallicence 
690 7 |a Coupled model  |2 nationallicence 
690 7 |a Autocorrelation  |2 nationallicence 
690 7 |a Persistence  |2 nationallicence 
700 1 |a Decremer  |D Damien  |u Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea  |4 aut 
700 1 |a Chung  |D Chul  |u Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea  |4 aut 
700 1 |a Räisänen  |D Petri  |u Finnish Meteorological Institute, Helsinki, Finland  |4 aut 
773 0 |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 44/5-6(2015-03-01), 1367-1379  |x 0930-7575  |q 44:5-6<1367  |1 2015  |2 44  |o 382 
856 4 0 |u https://doi.org/10.1007/s00382-014-2161-1  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s00382-014-2161-1  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Decremer  |D Damien  |u Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Chung  |D Chul  |u Department of Environmental Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Räisänen  |D Petri  |u Finnish Meteorological Institute, Helsinki, Finland  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Climate Dynamics  |d Springer Berlin Heidelberg  |g 44/5-6(2015-03-01), 1367-1379  |x 0930-7575  |q 44:5-6<1367  |1 2015  |2 44  |o 382