{"title":"耦合气候模式解中初始海洋条件对温度和降水的影响","authors":"R. Tokmakian, P. Challenor","doi":"10.5194/ASCMO-5-17-2019","DOIUrl":null,"url":null,"abstract":"Abstract. This paper describes results of an experiment that perturbed the\ninitial conditions for the ocean's temperature field of the Community Earth\nSystem Model (CESM) with a well defined design. The resulting 30-member\nensemble of CESM simulations, each of 10 years in length, is used to create\nan emulator (a nonlinear regression relating the initial conditions to\nvarious outcomes) from the simulators. Through the use of the emulator to\nexpand the output distribution space, we estimate the spatial uncertainties\nat 10 years for surface air temperature, 25 m ocean temperature,\nprecipitation, and rain. Outside the tropics, basin averages for the\nuncertainty in the ocean temperature field range between 0.48 ∘C\n(Indian Ocean) and 0.87 ∘C (North Pacific) (2 standard\ndeviation). The tropical Pacific uncertainty is the largest due to different\nphasings of the ENSO signal. Over land areas, the regional temperature\nuncertainty varies from 1.03 ∘C (South America) to 10.82 ∘C\n(Europe) (2 standard deviation). Similarly, the regional average\nuncertainty in precipitation varies from\n0.001 cm day−1 over Antarctica to\n0.163 cm day−1 over Australia with a global average of\n0.075 cm day−1. In general, both temperature and precipitation\nuncertainties are larger over land than over the ocean. A maximum covariance\nanalysis is used to examine how ocean temperatures affect both surface air\ntemperatures and precipitation over land. The analysis shows that the\ntropical Pacific influences the temperature over North America, but the North\nAmerica surface temperature is also moderated by the state of the North\nPacific outside the tropics. It also indicates which regions show a high\ndegree of variance between the simulations in the ensemble and are,\ntherefore, less predictable. The calculated uncertainties are also compared\nto an estimate of internal variability within CESM. Finally, the importance\nof feedback processes on the solution of the simulation over the 10 years of\nthe experiment is quantified. These estimates of uncertainty do not take into\nconsideration the anthropogenic effect on warming of the atmosphere and ocean.\n","PeriodicalId":36792,"journal":{"name":"Advances in Statistical Climatology, Meteorology and Oceanography","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Influence of initial ocean conditions on temperature and precipitation in a coupled climate model's solution\",\"authors\":\"R. Tokmakian, P. 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Over land areas, the regional temperature\\nuncertainty varies from 1.03 ∘C (South America) to 10.82 ∘C\\n(Europe) (2 standard deviation). Similarly, the regional average\\nuncertainty in precipitation varies from\\n0.001 cm day−1 over Antarctica to\\n0.163 cm day−1 over Australia with a global average of\\n0.075 cm day−1. In general, both temperature and precipitation\\nuncertainties are larger over land than over the ocean. A maximum covariance\\nanalysis is used to examine how ocean temperatures affect both surface air\\ntemperatures and precipitation over land. The analysis shows that the\\ntropical Pacific influences the temperature over North America, but the North\\nAmerica surface temperature is also moderated by the state of the North\\nPacific outside the tropics. It also indicates which regions show a high\\ndegree of variance between the simulations in the ensemble and are,\\ntherefore, less predictable. 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引用次数: 0
摘要
摘要本文描述了一项实验的结果,该实验扰动了共同体地球系统模型(CESM)的海洋温度场初始条件,并具有良好的设计。由此产生的30个成员的CESM模拟集合,每个长度为10年,用于从模拟器创建模拟器(将初始条件与各种结果联系起来的非线性回归)。利用仿真器扩展输出分布空间,估算了10年的地表气温、25 m海温、降水和降雨的空间不确定性。在热带以外,海洋温度场的不确定性的盆地平均值在0.48°C(印度洋)和0.87°C(北太平洋)之间(2个标准差)。由于ENSO信号的不同相位,热带太平洋的不确定性最大。在陆地上,区域温度的不确定度从1.03°C(南美)到10.82°C(欧洲)不等(2个标准差)。同样,区域平均降水的不确定性从南极洲的0.001 cm day - 1到澳大利亚的0.163 cm day - 1,全球平均值为0.075 cm day - 1。一般来说,陆地上的温度和降水的不确定性都比海洋上的大。最大协方差分析用于检验海洋温度如何影响地表气温和陆地降水。分析表明,热带太平洋影响北美上空的温度,但北美地表温度也受到热带以外的北太平洋状态的缓和。它还指出,在整体模拟中,哪些区域表现出高度差异,因此难以预测。计算的不确定性也与CESM内部变率的估计进行了比较。最后,量化了反馈过程在10年实验中对模拟解的重要性。这些对不确定性的估计没有考虑到人为对大气和海洋变暖的影响。
Influence of initial ocean conditions on temperature and precipitation in a coupled climate model's solution
Abstract. This paper describes results of an experiment that perturbed the
initial conditions for the ocean's temperature field of the Community Earth
System Model (CESM) with a well defined design. The resulting 30-member
ensemble of CESM simulations, each of 10 years in length, is used to create
an emulator (a nonlinear regression relating the initial conditions to
various outcomes) from the simulators. Through the use of the emulator to
expand the output distribution space, we estimate the spatial uncertainties
at 10 years for surface air temperature, 25 m ocean temperature,
precipitation, and rain. Outside the tropics, basin averages for the
uncertainty in the ocean temperature field range between 0.48 ∘C
(Indian Ocean) and 0.87 ∘C (North Pacific) (2 standard
deviation). The tropical Pacific uncertainty is the largest due to different
phasings of the ENSO signal. Over land areas, the regional temperature
uncertainty varies from 1.03 ∘C (South America) to 10.82 ∘C
(Europe) (2 standard deviation). Similarly, the regional average
uncertainty in precipitation varies from
0.001 cm day−1 over Antarctica to
0.163 cm day−1 over Australia with a global average of
0.075 cm day−1. In general, both temperature and precipitation
uncertainties are larger over land than over the ocean. A maximum covariance
analysis is used to examine how ocean temperatures affect both surface air
temperatures and precipitation over land. The analysis shows that the
tropical Pacific influences the temperature over North America, but the North
America surface temperature is also moderated by the state of the North
Pacific outside the tropics. It also indicates which regions show a high
degree of variance between the simulations in the ensemble and are,
therefore, less predictable. The calculated uncertainties are also compared
to an estimate of internal variability within CESM. Finally, the importance
of feedback processes on the solution of the simulation over the 10 years of
the experiment is quantified. These estimates of uncertainty do not take into
consideration the anthropogenic effect on warming of the atmosphere and ocean.