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1.
本文分析了近40年的中国近海验潮站资料海表面高度的线性变化趋势,并与卫星高度计资料进行了对比。通过对验潮站资料的分析发现,中国海域无论是近40年(1970~2013年)、还是近20年(1993~2013年)海平面均显著上升。各海区近20年的海平面上升有加速的趋势,且各时段上升速率大于全球平均海平面上升率。但是,受到海平面的年际和年代际变化的影响,近10年海平面上升趋势放缓。同时,本文也分析了不同季节海平面变化的趋势,北部海域秋季最大,冬季最小;南海海域春季最大,秋季最小。通过AVISO资料和验潮站资料的对比可以发现,AVISO资料在描述近20年海平面变化的线性趋势上与验潮站资料接近,较大的差异主要是由验潮站地表发生升降引起的。同时,通过对比也发现了用验潮站资料估算海域平均的海平面高度变化会有一定的误差,在黄海、渤海、东海海域验潮站估计的数值偏高,而在南海海域则偏低。  相似文献   

2.
本文首先利用1979～2008年中国756个站点和GPCP2.1的降水资料与Hadley中心的HadISST再分析海温资料以及应用合成和相关分析方法, 分析了中国东部夏季降水年际变化及其与东中国海及邻近海域海温异常的关系。分析结果表明: 当东中国海及邻近海域为暖 (冷) 异常时, 长江中下游、 江淮地区夏季降水减少 (偏多), 而东北南部的降水偏多 (减少)。并且, 本文应用RegCM3区域气候模式对上述关系进行数值试验, 结果表明了东中国海及邻近海域的暖 (冷) 异常, 将使得我国长江、 黄淮流域和华北大部分地区夏季降水的减少 (增加), 而华南地区、 东北南部和朝鲜半岛等地夏季降水的增加 (减少)。此外, 本文还利用NCEP/NCAR再分析资料和数值模拟对上述关系的大气环流变异过程进行了分析, 分析结果揭示了上述海域的升温或降温对东亚地区上空的纬向和经向环流有较明显的影响。当东中国海及邻近海域升温时, 除了在该海域东部引起低空辐合, 高空辐散, 产生上升运动外, 还在其西部的长江、 黄淮流域和华北地区引起低空辐散, 高空辐合, 产生下沉运动, 这将引起长江、 黄淮流域和华北等地夏季降水的减少; 并在华南、 东北南部和朝鲜半岛地区引起低空辐合, 高空辐散, 从而产生上升运动, 这使得华南地区、 东北南部和朝鲜半岛夏季降水的增加。反之, 当东中国海及邻近海域降温时, 上述区域出现相反的现象。这些都说明东中国海及邻近海域的热力状态可能是影响我国东部夏季降水的重要因子之一。  相似文献   

3.
In this study, changes in climatological conditions around the Korean Peninsula are estimated quantitatively using various types of high order statistical analyses. The temperature data collected from Incheon station have been analyzed for the assessment of the climate variation. According to our analysis, the climate changes observed over the Korean Peninsula for the last century are similar to the global observational data in many respects. First of all, the warming trend [ 1.5℃ (100 yr)^-1] and the overall evolving pattern throughout the century are quite similar to each other. The temperature change in the Korean Peninsula is about two to three times larger than that of the global scale which may partially be ascribed to the influence of urbanization at mid and high latitudes. In this work, a new Winter Monsoon Index (WMI) is suggested based on the European continental scale circulation index (EU1) pattern. Our WMI is defined as the normalized sea level pressure (SLP) difference in the winter period between the centers of the East Sea and west of Lake Baikal in Siberia, the two eastern centers of the EU1 action patterns. A strong similarity is found between the time series of the WMI and surface air temperature at Incheon. The WMI has decreased gradually since the 1920s but has shifted to a rapid increasing trend in the last two decades; it was in fact accompanied by a weakening of the Siberian High and a decreasing of the northerly during winter. Our findings of the close correlations between the surface air temperature at Incheon and the WMI strongly indicate that our newly suggested index is unique and can be used as an efficient tool to predict climate variability in Korea.  相似文献   

4.
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5.
The spatial and temporal features of synoptic and mesoscale variability of the Baltic Sea level are studied using long-term hourly data. The spectral analysis revealed significant difference in the structure of the sea level spectra between the Gulf of Bothnia and the Gulf of Finland. The maximum variance of the synoptic sea level variability is observed at the head of the Gulf of Bothnia and in the southwestern part of the Baltic Sea, whereas the maximum variance of mesoscale variability is registered at the head of the Gulf of Finland and in the southwestern part of the sea. The minimum variance of synoptic sea level variability was observed in the Gulf of Bothnia in the 1950s–1960s, and the maximum was recorded at the beginning and at the end of the 20th century. The series of interdecadal variability of synoptic sea level fluctuations have a weak negative trend up to ?0.11 cm2/year in Kungsholmfrost. A significant qualitative and quantitative correlation was detected between the interannual variability of variance of mesoscale sea level variations in the Gulf of Finland (Gornyi Institut) and the Gulf of Riga (Parnu) and the interannual variability of the NAO index.  相似文献   

6.
Sea ice variability in the Barents Sea and its impact on climate are analyzed using a 465-year control integration of a global coupled atmosphere–ocean–sea ice model. Sensitivity simulations are performed to investigate the response to an isolated sea ice anomaly in the Barents Sea. The interannual variability of sea ice volume in the Barents Sea is mainly determined by variations in sea ice import into Barents Sea from the Central Arctic. This import is primarily driven by the local wind field. Horizontal oceanic heat transport into the Barents Sea is of minor importance for interannual sea ice variations but is important on longer time scales. Events with strong positive sea ice anomalies in the Barents Sea are due to accumulation of sea ice by enhanced sea ice imports and related NAO-like pressure conditions in the years before the event. Sea ice volume and concentration stay above normal in the Barents Sea for about 2 years after an event. This strongly increases the albedo and reduces the ocean heat release to the atmosphere. Consequently, air temperature is much colder than usual in the Barents Sea and surrounding areas. Precipitation is decreased and sea level pressure in the Barents Sea is anomalously high. The large-scale atmospheric response is limited with the main impact being a reduced pressure over Scandinavia in the year after a large ice volume occurs in the Barents Sea. Furthermore, high sea ice volume in the Barents Sea leads to increased sea ice melting and hence reduced surface salinity. Generally, the climate response is smallest in summer and largest in winter and spring.  相似文献   

7.
In an effort to assess the reliability of satellite altimeter systems, the authors conduct a comparative analysis of sea level data that were collected from the TOPEX/POSEIDON (T/P) altimeter and 10 tide gauges (TG) near the satellite passing ground tracks. The analysis is made using datasets collected from marginal sea regions surrounding the Korean Peninsula at T/P cycles of 2 to 230, which correspond to October 1992 to December 1998. Proper treatment of tidal errors is a very critical step in data processing because the study area has very strong tide. When the T/P data are processed, the procedures of Park and Gamberoni (1995) are adapted to reduce errors associated with the tide. When the T/P data are processed in this way, the alias periods of M2, $2, and K1 constituents are found to be 62.1, 58.7, and 173 days repectively. The compatibility of the T/P and TG datasets are examined at various filtering periods.The results indicate that the low-frequency signals of the T/P data can be interpreted more safely with longer filtering periods (such as up to the maximum selected value of 200 days). When RMS errors for the 200-day low-pass filter period are compared with all 10 tidal stations, the values span the range of 2.8 to 6.7 cm. The results of a correlation analysis for this filtering period also show a strong agreement between the T/P and TG datasets across all stations investigated (e.g., p-values consistently less than 0.001). Hence according to the analysis, the conclusion is made that the analysis of surface sea level using satellite altimeter data can be made safely with reasonably extended filtering periods such as 200 days.  相似文献   

8.
The effects of Atlantic water inflow on the climate variability in the Barents Sea are studied. Initial data are the series of water temperature at the Kola meridian cross-section, monthly values of ice extent, air temperature at the stations, sea level pressure from the reanalysis data, and sea surface temperature. The methods of multivariate correlation, spectral, and factor analysis and EOF decomposition are used. It was found that variations in the Atlantic water inflow define the main part of interannual variability of sea ice extent, water temperature, and air temperature in the Barents Sea in the cold season. The influence of regional atmospheric circulation on the interannual variability of these parameters is small. The effects that water temperature anomalies in the area of Newfoundland and in the equatorial part of the North Atlantic have on climate parameters in the Barents Sea are discovered. The response of these parameters lags behind the respective anomalies by 9-58 months. The high correlation between them makes it possible to develop the method of statistical forecasting of sea ice extent and water temperature in the Barents Sea with the lead time up to 4 years.  相似文献   

9.
The response of the Weddell Sea and Antarctic Peninsula to anthropogenic forcing simulated by a global climate model is analyzed. The model, despite its low resolution, is able to capture several aspects of the observed regional pattern of climate change. A strong warming and depletion of the sea ice cover in the western Weddell Sea contrasts with a slight cooling and a sea-ice extension in the eastern Weddell Sea. This simulated long-term climate change is modulated by interdecadal variability but also affected by some abrupt regional changes in the oceanic mixed layer depth. Between 1960 and 2030 a reorganization of the deep convection activity in the Weddell Sea sustains the opposition between the eastern and western Weddell Sea. The deep convection collapses in the western Weddell Sea in the 2030s. The sea ice retreat trend is then followed by an increase of the sea ice cover in the western Weddell Sea. In the eastern Weddell Sea another abrupt collapse of the deep convection activity occurs around 2080. This event is followed by a rapid cooling and sea ice extension during the next 20 years. Most of the surface changes are associated with large-scale atmospheric circulation changes that project on the dominant mode of natural variability but also with oceanic convection and circulation changes.  相似文献   

10.
In an attempt to estimate accurate local sea level change, “sea level trend” modes are identified and separated from natural variability via cyclostationary empirical orthogonal function (CSEOF) analysis applied to both the tide gauge data (1965–2013) and the reconstruction data (1950–2010) around the Korean Peninsula. For the tide gauge data, ensemble empirical mode decomposition (EEMD) method is also used to estimate sea level trend to understand an uncertainty from different analysis tools. The three trend models—linear, quadratic, and exponential—are fitted to the amplitude time series of the trend mode so that future projection of sea level can be made. Based on a quadratic model, the rate of local sea level rise (SLR) is expected to be 4.63?±?1.1 mm year?1 during 2010–2060. The estimates of “local” sea level trend vary up to ～30%. It should be noted that, although the three trend models estimate similar sea level trends during the observational period, the projected sea level trend and subsequent SLR differ significantly from one model to another and between the tide gauge data and the reconstruction data; this results in a substantial uncertainty in the future SLR around the Korean Peninsula.  相似文献   

11.
The regional features oflong-term variability ofsea surface temperature (SST) in the Black Sea are analyzed using the satellite data for 1982-2014. It is demonstrated that the maximum intraannual and interannual variability of SST is registered on the northwestern shelf of the Black Sea. The high level of interannual variability of SST and maximum linear trends are observed in the northeastern part of the sea. The qualitative connection is revealed between the long-term variability of SST and the variations in the intensity of the Black Sea Rim Current in the long-term seasonal cycle. An increase in the level of interannual variability of SST is observed in summer, when the Black Sea Rim Current weakens. The significant negative correlation is revealed between the interannual anomalies of SST and the NAO index. The highest correlation coefficients are obtained for the eastern part of the Black Sea and near the Crimean coast.  相似文献   

12.
Analyses of a 500-year control integration of the global coupled atmosphere–sea ice–ocean model ECHAM5.0/MPI-OM show a high variability in the ice export through Fram Strait on interannual to decadal timescales. This variability is mainly determined by variations in the sea level pressure gradient across Fram Strait and thus geostrophic wind stress. Ice thickness anomalies, formed at the Siberian coast and in the Chukchi Sea, propagate across the Arctic to Fram Strait and contribute to the variability of the ice export on a timescale of about 9 years. Large anomalies of the ice export through Fram Strait cause fresh water signals, which reach the Labrador Sea after 1–2 years and lead to significant changes in the deep convection. The associated anomalies in ice cover and ocean heat release have a significant impact on air temperature in the Labrador Sea and on the large-scale atmospheric circulation. This affects the sea ice transport and distribution in the Arctic again. Sensitivity studies, simulating the effect of large ice exports through Fram Strait, show that the isolated effect of a prescribed ice/fresh water anomaly is very important for the climate variability in the Labrador Sea. Thus, the ice export through Fram Strait can be used for predictability of Labrador Sea climate up to 2 years in advance.  相似文献   

13.
The predictability of the Arctic sea ice is investigated at the interannual time scale using decadal experiments performed within the framework of the fifth phase of the Coupled Model Intercomparison Project with the CNRM-CM5.1 coupled atmosphere–ocean global climate model. The predictability of summer Arctic sea ice extent is found to be weak and not to exceed 2 years. In contrast, robust prognostic potential predictability (PPP) up to several years is found for winter sea ice extent and volume. This predictability is regionally contrasted. The marginal seas in the Atlantic sector and the central Arctic show the highest potential predictability, while the marginal seas in the Pacific sector are barely predictable. The PPP is shown to decrease drastically in the more recent period. Regarding sea ice extent, this decrease is explained by a strong reduction of its natural variability in the Greenland–Iceland–Norwegian Seas due to the quasi-disappearance of the marginal ice zone in the center of the Greenland Sea. In contrast, the decrease of predictability of sea ice volume arises from the combined effect of a reduction of its natural variability and an increase in its chaotic nature. The latter is attributed to a thinning of sea ice cover over the whole Arctic, making it more sensitive to atmospheric fluctuations. In contrast to the PPP assessment, the prediction skill as measured by the anomaly correlation coefficient is found to be mostly due to external forcing. Yet, in agreement with the PPP assessment, a weak added value of the initialization is found in the Atlantic sector. Nevertheless, the trend-independent component of this skill is not statistically significant beyond the forecast range of 3 months. These contrasted findings regarding potential predictability and prediction skill arising from the initialization suggest that substantial improvements can be made in order to enhance the prediction skill.  相似文献   

14.
The interannual variations of the sea level at the coastal stations of the Sea of Japan and of the water discharge through the Korea (Tsushima) Strait are studied. It is demonstrated that the interannual variations of the water discharge through this strait are determined by the water discharge of the Oyashio (in the subarctic Pacific) and the Kuroshio (in the East China Sea) currents and by the zonal wind stress component over the Sea of Japan in winter period. It is revealed that the variations in the East China Sea water transport through the Korea (Tsushima) Strait cause the interannual variations of the dissolved oxygen content in intermediate (500 m) and deep (1000 m and more, σθ = 27.35) waters of the Sea of Japan.  相似文献   

15.
 An ocean data assimilation (ODA) system which can assimilate both temperature and altimeter observations has been applied to the global ocean and tested between January 1993–October 1996. A statistical method has been used to convert sea surface height (SSH) anomalies observations from TOPEX/POSEIDON into synthetic temperature profiles. The innovative aspect of this method is the introduction of time dependency in the correlations used to transform the altimeter observations into temperature corrections. The assimilation system is based on a univariate variational optimal interpolation scheme applied to assimilate both in situ and synthetic temperature profiles. In addition, a longer global analysis for the upper-ocean temperature starting from January 1979 and ending November 1997, has been produced to examine the skill of sea temperature assimilation with a rather simple and practical method. The temperature analysis shows encouraging improvement over a corresponding ocean simulation when compared to independent (not assimilated) temperature data both at seasonal and interannual time scales. However, the univariate data assimilation of hydrographic data does not result in an improvement of the velocity field. In fact the assimilation of sparse in situ data can introduce unrealistic spatial variability in the temperature field which affects the velocity field in a negative way. This deficiency is partially overcome when we also assimilate altimeter observations since the coverage is complete and uniform for this data. In particular, our study shows that temperature corrections due to the altimeter signal have a positive impact on the current system in the tropical Pacific. Received: 28 May 2000 / Accepted: 6 November 2000  相似文献   

16.
前、后冬的东亚冬季风年际变异及其与东亚降水的关系   总被引：2，自引：1，他引：2  
利用ERA-Interim的再分析资料和NOAA海温、降水量等资料对前、后冬的东亚冬季风的年际变异特征及其与东亚降水的关系进行对比分析,并讨论了热带和中高纬系统影响东亚冬季风变异的相对重要性。前冬的东亚冬季风变异的主导模态为东亚全区一致变异型,即一致的北风偏弱或偏强;其次为南部变异型,主要表现为在我国南方-南海北部的东北风偏弱或偏强。而后冬的东亚冬季风变异的主导模态则为南部变异型,其次为东亚全区一致变异型。从前冬到后冬,东亚冬季风的主要变异模态的次序出现交叉更替。前、后冬的冬季风主要模态以年际变化为主,但后冬主导模态还显示出冬季风有变强的趋势。前、后冬的东亚冬季风的主导变异模态也影响东亚降水异常的位置。在前冬,冬季风异常主要影响我国华北、渤海-黄海海域以及朝鲜半岛和日本南部区域的降水异常,而后冬的冬季风异常则主要导致我国东南地区及其东侧附近的西北太平洋海区的降水异常。前冬的东亚冬季风的前两种主要变异模态都受到印度洋-太平洋海温和中高纬环流系统共同的影响;后冬的东亚冬季风的前两种主要变异模态则分别主要受ENSO和中高纬系统的影响。   相似文献   

17.
In this study, winter precipitation variability associated with the El Niño-Southern Oscillation (ENSO) over the Korean Peninsula was investigated using a 5-pentad running mean data because significant correlation pattern cannot be revealed using seasonal-mean data. It was found a considerably significant positive correlation between Niño3 sea-surface temperature and precipitation during early winter (from Mid-November to early-December), when the correlation coefficient is close to 0.8 in early-December; the correlation is distinctively weakened during late winter. It is demonstrated that such sudden intraseasonal change in relation to ENSO is associated with the presence of anticyclonic flow over the Kuroshio extension region (Kuroshio anticyclone). In early winter, there is strong southerly wind over the Korean Peninsula, which is induced by the Philippine Sea anticyclone and Kuroshio anticyclone. However, in January, although the Philippine Sea anticyclone develops further, the Kuroshio anticyclone suddenly disappears; as a result, the impact of ENSO is considerably weakened over the Korean Peninsula. These results indicate that the Kuroshio anticyclone during El Niño peak phase plays a critical role by strongly affecting Northeast Asia climate, including the Korean Peninsula. In addition, it is also found that there are distinctive interdecadal changes of the relationship between ENSO and precipitation over the Korean Peninsula. In particular, the strong correlation in early winter is clearer in the recent 30 years than that in the previous period of 1950–1979.  相似文献   

18.
The water dynamics in the straits between the North and Baltic seas during two major Baltic inflows that took place in the January of 1993 and 2003 is investigated using satellite altimetry data. It is found that the water mass surge to the eastern coast of the North Sea occurs before the beginning of the major Baltic inflow, and the sea level difference between the two seas is ~60 cm. Low-frequency fluctuations in the sea level and its wave parameters are studied. The wavelet analysis and the frequency-directed spectral analysis reveal the wave nature of the mechanisms leading to major Baltic inflows. The empirical characteristics of the obtained low-frequency waves are compared with the theoretical dispersion relations for the gradient-vorticity waves. Sea level variations during major Baltic inflows in the Danish Straits are identified as baroclinic Rossby waves. The analysis of cyclonic activity in the Northern Hemisphere demonstrated that stationary cyclones were observed during the inflows; this proves the feasibility of the resonance mechanism of the generation of major Baltic inflows.  相似文献   

19.
This study examines the influence of the El Niño-Southern Oscillation (ENSO) on the frequency of landfalling tropical cyclones (TCs) in the Korean Peninsula during the TC season, June through October, of the years 1951–2010. An ENSO year is defined when the seasonal mean of the NINO3.4 sea surface temperature (SST) anomalies is greater/less than the typical seasonal mean by 0.5°C. The overall results of this study support that ENSO does not affect the landfalling TCs in Korea; the mean frequencies of the TC landfalls (influences) during El Niño and La Niña calculated over the entire analysis period are 1.1 (3.3) and 1.2 (3.0), respectively. The variations in the basin-wide distribution of TCs show that the influence of ENSO on TC distribution is extended over southeastern Japan with no significant signals coming from over the Korean Peninsula and the East China Sea. The change in the intensity of the landfalling TCs in the Korean Peninsula due to ENSO leads to the same conclusion as that in the frequency of the landfalling TCs. In addition, the same conclusion is obtained when the TC season duration is expanded to include the entire year and when different definitions of the ENSO years (e.g., based on the preceding or following winter NINO3.4 SST anomalies) are selected for analysis.  相似文献   

20.
Observational data from the Roshydromet hydrometeorological stations for 1978–2017, global meteorological network, and objective analysis and reanalysis (NOAA) are used to study the interannual variability of sea surface temperature and air temperature in the coastal and marine areas of the Okhotsk, Japan, Yellow, East China, and South China seas at the modern stage of the warming. Based on the EOF, cluster, and correlation analysis, the spatiotemporal pattern of temperature variations is analyzed and the zoning of sea areas according to the features of modern climate change is performed. The possible cause-and-effect relationships between these changes and the variations in wind components and climate indices are investigated. The studies revealed, specified, and quantified the modern trends and regional features of interannual variability of thermal conditions in the distinguished areas.  相似文献   

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