Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-17-0514.1 |
Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble | |
Sparrow, Sarah1; Millar, Richard J.2; Yamazaki, Kuniko3; Massey, Neil4; Povey, Adam C.5; Bowery, Andy1; Grainger, Roy G.5; Wallom, David1; Allen, Myles2,6 | |
2018-06-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:12页码:4639-4656 |
文章类型 | Article |
语种 | 英语 |
国家 | England |
英文摘要 | A very large ensemble is used to identify subgrid-scale parameter settings for the HadCM3 model that are capable of best simulating the ocean state over the recent past (1980-2010). A simple particle filtering technique based upon the agreement of basin mean sea surface temperature (SST) and upper 700-m ocean heat content with EN3 observations is applied to an existing perturbed physics ensemble with initial conditions perturbations. Asingle set of subgrid-scale parameter values was identified from the wide range of initial parameter sets that gave the best agreement with ocean observations for the period studied. The parameter set, different from the standard model parameters, has a transient climate response of 1.68 K. The selected parameter set shows an improved agreement with EN3 decadal-mean SST patterns and the Atlantic meridional overturning circulation (AMOC) at 26 degrees N as measured by the Rapid Climate Change (RAPID) array. Particle filtering techniques as demonstrated here could have a useful role in improving the starting point for traditional model-tuning exercises in coupled climate models. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000450688200003 |
WOS关键词 | CLIMATE-CHANGE ; SALINITY PROFILES ; MODEL ; UNCERTAINTIES ; TEMPERATURE |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20514 |
专题 | 气候变化 |
作者单位 | 1.Univ Oxford, Oxford Eres Ctr, Oxford, England; 2.Univ Oxford, Sch Geog & Environm, Environm Change Inst, Oxford, England; 3.Met Off Hadley Ctr, Exeter, Devon, England; 4.Natl Ctr Atmospher Sci, Ctr Environm Data Anal, Sci & Technol Facil Council, Rutherford Appleton Lab, Didcot, Oxon, England; 5.Univ Oxford, Natl Ctr Earth Observat Atmospher Ocean & Planeta, Oxford, England; 6.Univ Oxford, Atmospher Ocean & Planetary Phys, Oxford, England |
推荐引用方式 GB/T 7714 | Sparrow, Sarah,Millar, Richard J.,Yamazaki, Kuniko,et al. Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble[J]. JOURNAL OF CLIMATE,2018,31(12):4639-4656. |
APA | Sparrow, Sarah.,Millar, Richard J..,Yamazaki, Kuniko.,Massey, Neil.,Povey, Adam C..,...&Allen, Myles.(2018).Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble.JOURNAL OF CLIMATE,31(12),4639-4656. |
MLA | Sparrow, Sarah,et al."Finding Ocean States That Are Consistent with Observations from a Perturbed Physics Parameter Ensemble".JOURNAL OF CLIMATE 31.12(2018):4639-4656. |
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