大气-海浪耦合模式对台风“碧利斯”的数值模拟

本文将海表粗糙度作为耦合大气、海浪模式的重要因子,实现中尺度大气模式MM5(V3)和第三代海浪模式WAVEWATCHⅢ的双向耦合,建立充分考虑大气、海浪相互作用的大气.海浪耦合模式.将该大气-海浪耦合模式应用于对0604次台风"碧利斯"的数值模拟,在耦合模式中引入Smith92海表粗糙度参数化方案,探讨其对台风和台风浪的影响.研究结果表明,大气-海浪耦合模式能够抓住台风过程的总体特征.Smith92海表粗糙度参数化方案对台风路径影响不大.但在台风系统强度的模拟上影响明显,采用Smith92方案使得台风系统强度显著增强,对台风系统强度的模拟有明显改善.同样,大气-海浪耦合模式能够很好的模拟台风过程中海浪的传播和演变.采用Smith92方案使得海面有效波高明显增高,对海面有效波高的模拟有一定程度改善.因此,在大气-海浪耦合模式中恰当的选择海表粗糙度参数化对改进大气-海浪耦合模式的模拟效果是很有意义的.     

Predicting seasonal ocean variability around New Zealand using a coupled ocean-atmosphere model

We present a first assessment of the Sea Surface Temperature (SST) and 300m Heat Content (HC) ensemble mean skill of the Australian Community Climate and Earth-System Simulator-Seasonal v1.0 (ACCESS-S1) around New Zealand on seasonal timescales, using a set of retrospective ensemble forecasts for 1990-2012. This was verified against Reynolds AVHRR analysis and Bluelink ReANalysis 3.5 (BRAN3.5). For inshore areas with depth <300m, the model shows skill forecasting for summer at a lead time of 0 months, with 66% and 65% of model grid cells having correlation coefficients exceeding 0.6 for SST and 300m HC respectively. Regions of lower skill seem to be associated with the model representation of the complex and variable frontal systems around New Zealand, and an overly-strong response to the El Niño Southern-Oscillation (ENSO). Nevertheless, the skill of ACCESS-S1 around New Zealand suggests there is potential for the development of useful seasonal forecast products for the region.     

一个区域海洋——海冰——大气耦合模式中的北极气候偏差：年结果检验

The Coupling of three model components, WRF/PCE （polar climate extension version of weather research and forecasting model （WRF））, ROMS （regional ocean modeling system）, and CICE （community ice code）, has been implemented, and the regional atmosphere-ocean-sea ice coupled model named WRF/PCE- ROMS-CICE has been validated against ERA-interim reanalysis data sets for 1989. To better understand the reasons that generate model biases, the WRF/PCE-ROMS-CICE results were compared with those of its components, the WRF/PCE and the ROMS-CICE. There are cold biases in surface air temperature （SAT） over the Arctic Ocean, which contribute to the sea ice concentration （SIC） and sea surface temperature （SST） biases in the results of the WRF/PCE-ROMS-CICE. The cold SAT biases also appear in results of the atmo- spheric component with a mild temperature in winter and similar temperature in summer. Compared to results from the WRF/PCE, due to influences of different distributions of the SIC and the SST and inclusion of interactions of air-sea-sea ice in the WRF/PCE-ROMS-CICE, the simulated SAT has new features. These influences also lead to apparent differences at higher levels of the atmosphere, which can be thought as responses to biases in the SST and sea ice extent. There are similar atmospheric responses in feature of distribution to sea ice biases at 700 and 500 hPa, and the strength of responses weakens when the pressure decreases in January. The atmospheric responses in July reach up to 200 hPa. There are surplus sea ice ex- tents in the Greenland Sea, the Barents Sea, the Davis Strait and the Chukchi Sea in winter and in the Beau- fort Sea, the Chukchi Sea, the East Siberian Sea and the Laptev Sea in summer in the ROMS-CICE. These differences in the SIC distribution can all be explained by those in the SST distributions. These features in the simulated SST and SIC from ROMS-CICE also appear in the WRF/PCE-ROMS-CICE. It is shown that the performance of the WRF/PCE-ROMS-CICE is determined to a l     

海冰热力模式的辐射参数化方案在渤海和波罗的海应用的比较

研究了海冰热力模式中的各种辐射参数化方案,对比了模式计算的太阳短波辐射、大气长波辐射以及海冰热力变化,并利用渤海和波罗的海观测资料进行比较和误差分析.冬季大部分时间太阳短波辐射对海冰热力过程的作用有限.简单计算方案一般满足海冰模式要求.误差主要受云和冰雪表面与大气之间的多重反射影响.长波辐射对表面热平衡和海冰质量变化起重要作用.长波辐射参数化方案的计算结果受环境因素影响.云量参数化有待进一步改进.海冰模式计算结果的精度与长波辐射计算精度有一致性.     

Heat and Freshwater Budgets and Pathways in the Arctic Mediterranean in a Coupled Ocean/Sea-ice Model

The Arctic Mediterranean is important for climate studies because of its unique thermodynamic characteristics and its potential role in freshwater export, which would influences air-sea and ice-sea interactions and may change the North Atlantic thermohaline circulation. It is difficult to obtain consistent and complete estimates of heat and freshwater budgets due to sparse observation. In this paper, we use a coupled Arctic ocean/sea-ice model with NCEP/NCAR (National Centers for Environmental Prediction/National Center for Atmospheric Research) reanalysis data, long-term gauged river runoff data, precipitation data and estimates of volume transports to examine heat and freshwater budgets and pathways in dynamically and thermodynamically consistence. The model implements Neptune effect, flux-corrected-transport algorithm and more sophisticated treatments of heat and freshwater fluxes. Uncertainties and deficiencies in the modeling were also evaluated. Results indicate that the Arctic Ocean is provided heat mainly from the Fram Strait branch of Atlantic water at about 46 TW, which is within the range in literature. The Barents Sea branch carries about 43 TW of net heat entering the Barents Sea, but only 2 TW of net heat enters the Arctic Ocean. The Atlantic water is significantly modified in the Barents Sea. About 39 TW of heat is lost, which is consistent with the range of estimates by Simonsen and Haugan (1996). The model suggests 79,422 km³ of freshwater storage mainly distributing the Canada Basin, the Beaufort Sea and the Eurasian coast, which is in a good agreement with estimate by Aagaard and Carmack (1989). Freshwater origins from river runoff, precipitation and the Bering Strait throughflow. Liquid freshwater mainly exports via the Canadian Archipelago and Fram Strait at the rates of 3100 km³/yr and 1400 km³/yr. Sea-ice is dominantly transported through Fram Strait with 1923 km³/yr. Model discrepancies exist and climate drift is clear, which require comprehensive physical treatments of mixing processes and dense water processes in the model.     

Sensitive study of the long and short surface wave-induced vertical mixing in a wave-circulation coupled model

The previous studies by the MASNUM research team have shown the effectiveness of the wave-induced mixing (Bv) in improving the simulation of upper-ocean thermal structure. The mechanisms of Bv are further investigated by incorporating different Bv products into the MASNUM wave-circulation coupled model. First, experiments were designed to explore the effects of Bv, which contain the contributions at different wave lengths (l). The results of three experiments, the non-Bv case, the short-wave case (l <300 m), and the long-wave case (l >300 m) are compared, and it is found that the long waves are the most important component for Bv to generate mixing in the upper ocean. As the swell plays dominant role in mixing, the parameterization of Bv into wind may be not a proper way. Second, Bv effects at different time-scales, including daily and monthly, were examined. The results show that the monthly averaged Bv has larger impact than the daily averaged Bv, especially in summer.     

海表面温度的变分同化预报模式:初始场的全局优化

利用变分同化技术,将船舶报资料与海表面温度短期数值预报模式有机结合,实现了渤、黄、东海的海表面温度短期数值预报。本预报模式利用伴随方法实现了预报模式的全局优化,不但最大限度地利用了船舶报资料,而且初始温度场的调整由自动的数值迭代过程来实现。在渤、黄、东海海域,4个季节的典型月份的SST连续1个月的24h后报结果与船舶报资料均方差均降至0.8℃以下。同化后海表面温度初始场的绝均差较同化前有显著下降。与以前所用的客观分析方法比较的结果表明,伴随同化的预报精度明显高于客观分析方法。     

基于遥感增强嵌套模型红树林带水沙环境对码头建设的响应研究

南海北部湾铁山港码头建设期间,邻近区域红树林带植株出现受损死亡现象。本研究构建基于遥感增强包含红树林潮间带的海湾水沙嵌套模型,评估码头建设对红树林带潮流、泥沙输移及冲淤的影响。结果表明：海湾水沙嵌套模型可充分利用南海海流模拟信息,且精细化模拟了工程建设附近海域泥沙输移规律。采用全球地表水覆盖几率遥感反演数据与当地潮位的信息融合技术,为红树林带水沙模拟提供了可靠地形信息。码头建设主要影响红树林带南部潮流,涨急时流速减小,落急时部分潮沟通道流速增大。当进港方案更改为过水钢栈桥,红树林带东南部流速略有增加。码头施工期,红树林带69%～72%范围的悬浮泥沙浓度增量介于20～50 mg/L之间。码头建设前,红树林带泥沙平均冲淤量为0.27 cm/a;进港方案分别为不过水通道和过水钢栈桥,码头建设后红树林带淤积量增加的面积占比分别为96.6%和89.3%,平均冲淤量分别为0.45 cm/a和0.36 cm/a。过水钢栈桥替换不过水通道,红树林带冲淤增量下降了50.0%。研究结论可为潮间带水沙环境模拟和红树林带保护决策提供科学依据。