Impacts of a wind stress and a buoyancy flux on the seasonal variation of mixing layer depth in the South China Sea

The seasonal variation of mixing layer depth(MLD) in the ocean is determined by a wind stress and a buoyance flux.A South China Sea(SCS) ocean data assimilation system is used to analyze the seasonal cycle of its MLD.It is found that the variability of MLD in the SCS is shallow in summer and deep in winter,as is the case in general.Owing to local atmosphere forcing and ocean dynamics,the seasonal variability shows a regional characteristic in the SCS.In the northern SCS,the MLD is shallow in summer and deep in winter,affected coherently by the wind stress and the buoyance flux.The variation of MLD in the west is close to that in the central SCS,influenced by the advection of strong western boundary currents.The eastern SCS presents an annual cycle,which is deep in summer and shallow in winter,primarily impacted by a heat flux on the air-sea interface.So regional characteristic needs to be cared in the analysis about the MLD of SCS.     

吕宋海峡西部深海盆内孤立波潜标观测研究

Using a net surface heat flux （Qnet） product obtained from the objectively analyzed air-sea fluxes （OAFlux） project and the international satellite cloud climatology project （ISCCP）, and temperature from the simple ocean data assimilation （SODA）, the seasonal variations of the air-sea heat fluxes in the northwestern Pa cific marginal seas （NPMS） and their roles in sea surface temperature （SST） seasonality are studied. The seasonal variations of Qnet, which is generally determined by the seasonal cycle of latent heat flux （LH）, are in response to the advection-induced changes of SST over the Kuroshio and its extension. Two dynamic regimes are identified in the NPMS： one is the area along the Kuroshio and its extension, and the other is the area outside the Kuroshio. The oceanic thermal advection dominates the variations of SST and hence the sea-air humidity plays a primary role and explains the maximum heat losing along the Kuroshio. The heat transported by the Kuroshio leads to a longer period of heat losing over the Kuroshio and its Extension. Positive anomaly of heat content corresponds with the maximum heat loss along the Kuroshio. The oceanic advection controls the variations of heat content and hence the surface heat flux. This study will help us understand the mechanism controlling variations of the coupled ocean-atmosphere system in the NPMS. In the Kuroshio region, the ocean current controls the ocean temperature along the main stream of the Ku roshio, and at the same time, forces the air-sea fluxes.     

Seasonal and interannual variability of carbon cycle in South China Sea: A three-dimensional physical-biogeochemical modeling study

The South China Sea (SCS) exhibits strong variations on seasonal to interannual time scale, and the changing Southeast Asian Monsoon has direct impacts on the nutrients and phytoplankton dynamics, as well as the carbon cycle. A Pacific basin-wide physical-biogeochemical model has been developed and used to investigate the physical variations, ecosystem responses, and carbon cycle consequences. The Pacific basin-wide circulation model, based on the Regional Ocean Model Systems (ROMS) with a 50-km spatial resolution, is driven with daily air-sea fluxes derived from the National Centers for Environmental Prediction (NCEP) reanalysis between 1990 and 2004. The biogeochemical processes are simulated with the Carbon, Si(OH)₄, Nitrogen Ecosystem (CoSINE) model consisting of multiple nutrients and plankton functional groups and detailed carbon cycle dynamics. The ROMS-CoSINE model is capable of reproducing many observed features and their variability over the same period at the SouthEast Asian Time-series Study (SEATS) station in the SCS. The integrated air-sea CO₂ flux over the entire SCS reveals a strong seasonal cycle, serving as a source of CO₂ to the atmosphere in spring, summer and autumn, but acting as a sink of CO₂ for the atmosphere in winter. The annual mean sea-to-air CO₂ flux averaged over the entire SCS is +0.33 moles CO₂ m⁻²year⁻¹, which indicates that the SCS is a weak source of CO₂ to the atmosphere. Temperature has a stronger influence on the seasonal variation of pCO₂ than biological activity, and is thus the dominant factor controlling the oceanic pCO₂ in the SCS. The water temperature, seasonal upwelling and Kuroshio intrusion determine the pCO₂ differences at coast of Vietnam and the northwestern region of the Luzon Island. The inverse relationship between the interannual variability of Chl-a in summer near the coast of Vietnam and NINO₃ SST (Sea Surface Temperature) index in January implies that the carbon cycle and primary productivity in the SCS is teleconnected to the Pacific-East Asian large-scale climatic variability.     

东北印度洋上层海水热含量及影响要素的季节变化

探讨了影响东北印度洋上层海水热含量变化的各要素的季节变化,以及其对热含量变化的贡献和作用过程.根据MOM4数值模拟所得的气候态数据,利用热力学方程积分所得的热通量方程,分析了热含量和各影响要素的季节变化过程.结果表明,东北印度洋海洋动力过程的作用主要存在于海洋上层100 m以内;该区域上层海水热含量的季节变化,是典型的海-气相互作用的结果,由动力过程和海表净热通量共同控制,2种作用都有明显的季节变化特征,并且随区域的变化两者贡献有所变化;西南季风爆发前,上层海洋热含量最大值的出现,是之前几个月动力作用和海表净热通量共同加热的结果.     

基于大涡模拟耦合模式的小尺度海气相互作用研究

大气和海洋是影响地球气候系统的两个重要因素,它们之间的相互作用是海洋和大气研究的重要课题,海气耦合模式则是研究海气相互作用的重要工具,而海气耦合模式重点考虑的参数是海气通量。针对传统的大尺度海气耦合模式缺少湍流尺度分析的问题,本文使用并行大涡模拟海气耦合模式（The Parallelized Large-Eddy Simulation Model,PALM）,在小尺度上探究风速对海气通量及湍流动能收支（Turbulence Kinetic Energy Budget,TKE Budget）的影响,设置了5、10和15m/s三种地转风速度对大气边界层（Atmospheric Boundary Layer,ABL）和海洋混合层（Oceanic Mixed Layer,OML）进行海气耦合模拟。研究表明：海气通量的分布与风速大小密切相关,风速越大,净热通量和浮力通量相对越大,由于温度上升导致海水蒸发加剧,使得大气的淡水通量增大;海洋湍流动能收支各项在近海面处受风速影响较大,且随着深度加深而逐渐减弱。本研究初步展示了小尺度海气耦合模式在海气通量研究中的应用,对进行小尺度海气相互作用研究具有一定的意义。     

A global analysis of multi-mode sea surface temperature pattern

1 IntroductionThe variability of the air -sea system orches-trates a complex climate system of our earth, andthis variability gives rise to an array of naturally oc-curring dynamical modes at different time scales.These modes are important attributes of c…     

海气相互作用对热带气旋发生发展影响研究综述

本文回顾了近几十年来海气相互作用对热带气旋形成和发展影响的研究情况.海表温度(SST)和海洋飞沫(sea spray)蒸发对热带气旋的强度和路径有一定的影响,但影响机制和程度如何,目前还存在争议.利用中尺度海气耦合模式进行数值模拟是研究海气相互作用对热带气旋影响的一个有效方法.介绍了国内外一些中尺度海气耦合模式,旨在推动建立适合我国海域用于热带气旋模拟和预报的海气耦合模式.     

热带大西洋对全球变暖的响应

与太平洋和印度洋不同，全球变暖下热带大西洋变化的研究较少。本文使用地球系统模型CESM（Community Earth System Model），发现全球变暖后热带大西洋在秋季的升温类似大西洋尼诺（Atlantic Niño）的正位相，即大西洋西部增暖幅度小于东部；在夏季类似大西洋尼诺的负位相，即大西洋西部增暖幅度大于东部。利用覆盖（overriding）技术，分离了风应力、风速和CO₂的直接热效应对海洋升温的作用，探讨了大西洋尼诺本身和全球变暖作用下类似大西洋尼诺正位相（下文简称“类大西洋尼诺升温”）的形成机制。结果表明，这两种情况下的形成机制基本相同，风应力的变化是导致大西洋东部暖异常的主要机制。但两者之间也存在区别：1）全球变暖下海表温度的季节变化振幅减小，而大西洋尼诺时变化不大；2）全球变暖下西风异常主要集中在大西洋东部，而大西洋尼诺时主要集中在大西洋中部；3）除风应力外，CO₂的热效应对类尼诺升温的变化也有一定影响。     

Amplification mechanism for the amplitude of the annual cycle of continental-scale tropospheric temperature anomalies

Physical mechanisms for the annual evolution of special continental-scale seasonal anomalies in the tropospheric temperature and the general atmospheric circulation are described. The relationship between large negative tropospheric temperature anomalies over the continents in winter and positive temperature anomalies in the subsequent summer is explained. It is shown that large winter negative anomalies over the continents can possibly stabilize the climatic annual cycle. A general process that can trigger the mechanism regulating the annual cycle by means of continental-scale tropospheric temperature anomalies is the equalizing of the temperature anomalies over the continents and the oceans. In turn, the latter phenomenon can happen when the low-frequency variability of intensifying planetary waves generates extreme events on a hemispheric scale.     

东中国海碳循环时空变化特征:三维物理-生物地球化学数值模型研究

In the east of China's seas, there is a wide range of the continental shelf. The nutrient cycle and the carbon cycle in the east of China's seas exhibit a strong variability on seasonal to decadal time scales. On the basis of a regional ocean modeling system(ROMS), a three dimensional physical-biogeochemical model including the carbon cycle with the resolution(1/12)°×(1/12)° is established to investigate the physical variations, ecosystem responses and carbon cycle consequences in the east of China's seas. The ROMS-Nutrient Phytoplankton Zooplankton Detritus(NPZD) model is driven by daily air-sea fluxes(wind stress, long wave radiation, short wave radiation, sensible heat and latent heat, freshwater fluxes) that derived from the National Centers for Environmental Prediction(NCEP) reanalysis2 from 1982 to 2005. The coupled model is capable of reproducing the observed seasonal variation characteristics over the same period in the East China Sea. The integrated air-sea CO_2 flux over the entire east of China's seas reveals a strong seasonal cycle, functioning as a source of CO_2 to the atmosphere from June to October, while serving as a sink of CO_2 to the atmosphere in the other months. The 24 a mean value of airsea CO_2 flux over the entire east of China's seas is about 1.06 mol/(m~2·a), which is equivalent to a regional total of3.22 Mt/a, indicating that in the east of China's seas there is a sink of CO_2 to the atmosphere. The partial pressure of carbon dioxide in sea water in the east of China's seas has an increasing rate of 1.15 μatm/a(1μtm/a=0.101 325Pa), but p H in sea water has an opposite tendency, which decreases with a rate of 0.001 3 a~(–1) from 1982 to 2005.Biological activity is a dominant factor that controls the pCO_2 air in the east of China's seas, and followed by a temperature. The inverse relationship between the interannual variability of air-sea CO_2 flux averaged from the domain area and Ni?o3 SST Index indicates that the carbon cycle in the east of China's seas has a high correlation with El Ni?o-Southern Oscillation(ENSO).     

Seasonal variation in the three-dimensional structures of coastal thermal front off western Guangdong

The seasonal structure and dynamic mechanism of oceanic surface thermal fronts(STFs) along the western Guangdong coast over the northern South China Sea shelf were analyzed using in situ observational data, remote sensing data, and numerical simulations. Both in situ and satellite observations show that the coastal thermal front exhibits substantial seasonal variability, being strongest in winter when it has the greatest extent and strongest sea surface temperature gradient. The winter coastal thermal front begins to appear in November and disappears after the following April. Although runoff water is more plentiful in summer, the front is weak in the western part of Guangdong. The frontal intensity has a significant positive correlation with the coastal wind speed,while the change of temperature gradient after September lags somewhat relative to the alongshore wind. The numerical simulation results accurately reflect the seasonal variation and annual cycle characteristics of the frontal structure in the simulated area. Based on vertical cross-section data, the different frontal lifecycles of the two sides of the Zhujiang(Pearl) River Estuary are analyzed.     

Reconstruction of the seasonal climate of the Black Sea on the basis of available hydrological data

We analyze the seasonal variability of the climatic hydrophysical fields of the Black Sea reporduced in three numerical experiments carried out according to the model of circulation. The numerical predictions are performed for a period of 12.5 yr on the basis of the hydrological data accumulated in 1983–1995. The monthly average climatic fields of the current speed are reconstructed according to the data on the climatic fields of temperature and salinity by the method of hydrodynamic adaptation (standard). It is shown that, in prognostic calculations, the seasonal variability of temperature and salinity is qualitatively close to the “standard” dependence. At the same time, the quantitative difference between the climatic behavior of the model and the standard dependence may be significant. The annual cycle of the currents is characterized by the intensification of the Main Black-Sea Current in winter. The structure of the hydrophysical fields of the sea in the model becomes much more realistic if it is based on the actual hydrological data. Translated by Peter V. Malyshev and Dmitry V. Malyshev     

热带西南印度洋上升流区季节和年际变化研究及与印太系统海气相互作用

用59年Ishii再分析温度资料,讨论了热带西南印度洋(SWTIO)上升流区的季节和年际变化以及与上升流区有关的温度距平的变化,同时分析了其与热带印太海气系统的关系,结果显示SWTIO 上升流在南半球冬、夏季比较强,春季最弱。它的范围在5°~1°S,在东西向从50°E可以伸展到90°E。该上升流区的变化与温跃层的温度距平有密切的关系,并存在明显的5 a振荡周期。SWTIO上升流区温度距平的5 a周期振荡是由热带东印度洋温度距平在最大垂直温度距平曲面(MTAL)上向西沿着11.5°~6.5°S传播过来的,它与热带太平洋的温度距平传播方式不同。SWTIO上升流是热带印太海气系统的一个重要组成部分,印度洋偶极子 超前SWTIO上升流区温度变化5个月,最大相关系数达到0.57,NINO3区指数超前SWTIO上升流区指数2个月达到0.49。当热带印太区域的大气风场改变,影响热带太平洋和印度洋表层SSTA,出现ENSO和DIPOLE,进一步向西传播到SWTIO次表层,导致SWTIO上升流区出现改变。     

Seasonal variability of turbulent heat fluxes in the tropical Atlantic Ocean based on WHOI flux product

The mean seasonal variability of turbulent heat fluxes in the tropical Atlantic Ocean is examined using the Woods Hole Oceanographic Institution(WHOI) flux product.The most turbulent heat fluxes occur during winter seasons in the two hemispheres,whose centers are located at 10°~20°N and 5°～15°S respectively.In climatological ITCZ,the turbulent heat fluxes are the greatest from June to August,and in equatorial cold tongue the turbulent heat fluxes are the greatest from March to May.Seasonal variability of sensible heat flux is smaller than that of latent heat flux and mainly is dominated by the variations of air-sea temperature difference.In the region with larger climatological mean wind speed(air-sea humidity difference),the variations of air-sea humidity difference(wind speed) dominate the variability of latent heat flux.The characteristics of turbulent heat flux yielded from theory analysis and WHOI dataset is consistent in physics which turns out that WHOI's flux data are pretty reliable in the tropical Atlantic Ocean.     

中国近海海气界面热通量的反演

应用卫星SSM/I(Special Sensor Microwave/Imager)和AVHRR(Advanced Very High Resolution Radiometer)遥感资料,使用先进的海气通量计算方法(COARE3.0),计算了中国近海海气界面的感热和潜热通量.计算结果与南海西沙(2002年5月)和文昌(2000年10~11月)实测结果进行比较发现,应用遥感资料获得的海气界面热通量与实测结果非常一致.遥感获得的感热通量和潜热通量与西沙实测结果的均方根误差分别为2.9和29.9 W/m2,与文昌实测结果的均方根误差:2000年10月分别为4.42和43.05 W/m2,2000年11月分别为4.19和40.8 W/m2.与GSSTF2的结果相比,其时空分布变化特征基本一致.根据中国近海遥感资料(1988~2000年)的感热通量的分析,其均方根误差在10.1~12.4 W/m2之间,多年平均均方根误差为11.7 W/m2.潜热通量的均方根误差在34.8~49.7 W/m2之间,多年平均均方根误差为43.2 W/m2.由此可以说明,利用遥感获得的热通量可以用来进行中国近海海气相互作用的研究以及作为我国气候预测研究的重要依据.     

The seasonal cycle of diabatic heat storage in the Pacific Ocean

This study quantifies uncertainties in closing the seasonal cycle of diabatic heat storage (DHS) over the Pacific Ocean from 20°S to 60°N through the synthesis of World Ocean Circulation Experiment (WOCE) reanalysis products from 1993 to 1999. These products are DHS from Scripps Institution of Oceanography (SIO); near-surface geostrophic and Ekman currents from Earth and Space Research (ESR); and air-sea heat fluxes from Comprehensive Ocean-Atmosphere Data Set (COADS), National Centers for Environmental Prediction (NCEP), and European Center for Mid-Range Weather Forecasts (ECMWF). With these products, we compute residual heat budget components by differencing long-term monthly means from the long-term annual mean. This allows the seasonal cycle of the DHS tendency to be modeled. Everywhere latent heat flux residuals dominate sensible heat flux residuals, shortwave heat flux residuals dominate longwave heat flux residuals, and residual Ekman heat advection dominates residual geostrophic heat advection, with residual dissipation significant only in the Kuroshio-Oyashio current extension. The root-mean-square (RMS) of the differences between observed and model residual DHS tendencies (averaged over 10° latitude-by-20° longitude boxes) is <20 W m⁻² in the interior ocean and <100 W m⁻² in the Kuroshio-Oyashio current extension. This reveals that the residual DHS tendency is driven everywhere by some mix of residual latent heat flux, shortwave heat flux, and Ekman heat advection. Suppressing bias errors in residual air-sea turbulent heat fluxes and Ekman heat advection through minimization of the RMS differences reduces the latter to <10 W m⁻² over the interior ocean and <25 W m⁻² in the Kuroshio-Oyashio current extension. This reveals air-sea temperature and specific humidity differences from in situ surface marine weather observations to be a principal source of bias error, overestimated over most of ocean but underestimated near the Intertropical Convergence Zone.     

北太平洋海面异常风场的时空分布特征与海气热量交换

用北太平洋（含赤道太平洋区）１９４９～１９７９年的ＣＯＡＤＳ资料，通过矢量ＥＯＦ分解得到北太平洋异常风场的分布型及其时间变化规律。分析表明，ＥＯＦ１～５场与大气活动中心、海洋相互作用有联系，具有明显的天气学意义。此外，还讨论了ＥＯＦ异常风场间的转换及其季节性差异。     

Fundamental and derived modes of climate variability: concept and application to interannual time-scales

The notion of mode interaction is proposed as a deterministic concept for understanding climatic modes at various time-scales. This concept is based on the distinction between fundamental modes relying on their own physical mechanisms and derived modes that emerge from the interaction of two other modes. The notion is introduced and applied to interannual climate variability. Observational evidence is presented for the tropospheric biennial variability to be the result of the interaction between the annual cycle and a quasi-decadal mode originating in the Atlantic basin. Within the same framework, Pacific interannual variability at time-scales of about 4 and 6 yr is interpreted as the result of interactions between the biennial and quasi-decadal modes of climate variability. We show that the negative feedback of the interannual modes is linked to the annual cycle and the quasi-decadal mode, both originating outside the Pacific basin, whereas the strong amplitudes of interannual modes result from resonance and local positive feedback. It is argued that such a distinction between fundamental and derived modes of variability is important for understanding the underlying physics of climatic modes, with strong implications for climate predictability.     

全球气候模式中赤道东太平洋海表温度的季节循环：从CMIP5到CMIP6

The sea surface temperature(SST) seasonal cycle in the eastern equatorial Pacific(EEP) plays an important role in the El Ni?o–Southern Oscillation(ENSO) phenomenon. However, the reasonable simulation of SST seasonal cycle in the EEP is still a challenge for climate models. In this paper, we evaluated the performance of 17 CMIP6 climate models in simulating the seasonal cycle in the EEP and compared them with 43 CMIP5 climate models. In general, only CESM2 and SAM0-UNICON are able to successfully capture the annual mean SST characteristics,and the results showed that CMIP6 models have no fundamental improvement in the model annual mean bias.For the seasonal cycle, 14 out of 17 climate models are able to represent the major characteristics of the observed SST annual evolution. In spring, 12 models capture the 1–2 months leading the eastern equatorial Pacific region 1(EP1; 5°S–5°N, 110°–85°W) against the eastern equatorial Pacific region 2(EP2; 5°S–5°N, 140°–110°W). In autumn,only two models, GISS-E2-G and SAM0-UNICON, correctly show that the EP1 and EP2 SSTs vary in phase. For the CMIP6 MME SST simulation in EP1, both the cold bias along the equator in the warm phase and the warm bias in the cold phase lead to a weaker annual SST cycle in the CGCMs, which is similar to the CMIP5 results. However,both the seasonal cold bias and warm bias are considerably decreased for CMIP6, which leads the annual SST cycle to more closely reflect the observation. For the CMIP6 MME SST simulation in EP2, the amplitude is similar to the observed value due to the quasi-constant cold bias throughout the year, although the cold bias is clearly improved after August compared with CMIP5 models. Overall, although SAM0-UNICON successfully captured the seasonal cycle characteristics in the EEP and the improvement from CMIP5 to CMIP6 in simulating EEP SST is clear, the fundamental climate models simulated biases still exist.