环渤海沿岸海表温度资料的均一性检验与订正

本文对环渤海沿岸具有代表性且资料完整的6个海洋观测站的月均海表温度(SST)序列作均一性检验和订正。我国海洋观测站密集度低,难以选择参考序列,本文首先采用不依赖参考序列的惩罚最大F检验(PMFT)方法对SST序列检验,利用详尽的元数据对检验结果进行确认,再对不连续点订正,该方法适用于元数据详尽的海洋观测站。对于元数据不详尽的观测站,使用惩罚最大T检验(PMT)方法,选取与海洋台站距离近且相关显著的气象观测站的均一化地面气温序列来制作参考序列,对SST序列进行检验和订正。结果表明,环渤海地区SST序列都存在一定非均一性,观测站较大距离迁移和观测系统变更(从人工观测到自动化观测)是造成非均一性的重要原因。订正后的环渤海地区年平均SST增温趋势更加明显。本文使用不同方法来检验SST序列的均一性,该思路对沿海其他海区观测站SST均一性检验和订正有一定参考价值和应用前景,可为沿海气候变化研究提供科学准确的第一手资料。     

2017 年中国近海海温和气温气候特征分析

2017 年，全球平均海表温度较常年值偏高0.29~0.43 ℃，是自1960 年以来第三热的年份，仅次于2015 和2016 年，同时是没有厄尔尼诺事件影响的全球海洋最热年。1960-2017 年，中国近海年平均海表温度呈显著波动上升趋势，每十年升高0.16 ℃。2017 年中国近海年平均海表温度较常年值偏高0.64 ℃，是自1960 年以来的中国近海第二最热年份，仅次于1998 年。基于国家海洋局沿海海洋观测台站资料分析，1960-2017 年，中国沿海年平均海表温度以每十年0.15 ℃的速率上升（高于全球平均海表温度的升温速率每十年0.11 ℃）。2017 年中国沿海海表温度较常年值偏高0.8 ℃，是1960 年有记录以来的最高值，比2015 年所创的最高纪录高0.2 ℃。1965-2017 年，中国沿海年平均气温以每十年0.30 ℃的速率上升。2017年中国沿海气温较常年值偏高1.1 ℃，也是1965 年有记录以来的最高值，比2016 年高0.2 ℃。     

基于均一化观测序列的成山头海表温度气候变化特征分析

文中利用加拿大环境部气候研究中心研发的惩罚最大t检验方法,选取均一的邻近气象站为参考站,结合元数据信息,对1960-2017年成山头海洋站海表温度序列进行了均一性检验与订正。利用订正后的海表温度序列对成山头海温气候变化特征进行分析。结果表明,订正前后年平均海表温度趋势发生了明显改变,表现出海温上升趋势较订正前加强的特征,增暖趋势由订正前的0.04℃/10 a上升到0.15℃/10 a,其中最暖的5个年份多发生在1980年以后,分别为1973年、1989年、2002年、2007年和2017年。海表温度总体呈显著上升趋势和明显的年代际波动,20世纪60年代至80年代末为偏冷阶段,之后开始增暖,20世纪90年代至今为偏暖阶段。1960-2017年,成山头的海温突变点在1987年,是一次增暖性突变,与中国大陆的气温突变特征和气温变化阶段性特征非常一致。     

基于ConvGRU和自注意力的海表温度偏差订正研究

海表温度（Sea Surface Temperature, SST） 是一个重要的海洋物理量, 其准确预报对于水产养殖和预测海洋环境信息等海洋相关领域的研究至关重要。数值预报是目前预报海表温度的一种常用方法, 但数值预报模型所产生的预报结果往往与实际观测数据有偏差, 因此有必要对数值预报产品的偏差进行订正。本文提出了一种结合ConvGRU 神经网络与自注意力（Self-Attention, SA） 的新型时空混合海表温度订正模型（ConvGRU-SA）, 对南海海表温度预报数据进行偏差订正, 该模型适用于利用卫星遥感数据对海表温度数值预报产品进行订正。经与ConvLSTM、ConvGRU 等网络模型对比, 证明了ConvGRU-SA 模型的优越性, 设置不同的超参 数进行实验, 提高模型订正准确率。订正后该区域的海表温度预报均方根误差从0.52 ℃降低至0.32 ℃, 准确率提高了38.4%, 优于现有模型。     

渤海西部海平面资料均一性订正及变化特征

海平面资料的质量直接影响到海洋与气候分析的准确性,同时也影响了海洋与气候变化监测、检测和预测工作的业 务质量和研究水平的提高。以渤海西部资料序列变动明显的塘沽站（纳入全球海平面观测系统）、建站较短的京唐港和曹妃 甸站为例,从长期趋势、年际和年代际周期波动、季节海平面变化以及与邻近站比较等方面详细介绍了资料序列发生突变的 时间段诊断、变化原因、变动幅度以及订正方式。使用订正完的海平面月均及年均长期资料序列分析了海平面变化的长期趋 势、周期性波动、季节变化特征等,结果能很好地反映出局地区域的海平面变化特征,同时对于研究中国沿海以及西太的海 平面变化及气候变化有着重要的意义。     

海洋站观测资料的质量控制方法及其应用

文章阐明开展海洋站观测资料质量控制的必要性和重要性,以海洋站观测延时(月报)资料为例,详细论述其质量控制的对象、流程和参数以及包括日期检验、位置检验、格式检验在内的19种质量控制方法,同时概述海洋站观测资料质量控制软件,最后提出下一步开展海洋站观测资料的均一化检验和订正以及建立多模式检验系统和均一化数据集的研究重点,以期为海洋和气候变化研究提供科学准确的第一手资料。     

基于Himawari-8卫星的逐时次海表温度融合

Himawari-8卫星是日本气象厅发射的新一代地球同步静止气象卫星,为获取逐时次海表温度产品提供了有力数据支持。本文以Himawari-8 AHI海表温度为基础,利用最优插值法融合GCOM-W1 AMSR2海表温度和NERA-GOOS现场观测资料,生成逐时次海表温度融合产品。为了充分利用邻近时刻的海表温度观测资料,利用Himawari-8 AHI海表温度和欧洲中期天气预报中心海面风速数据建立匹配数据集,研究建立海表温度日变化模型,实现邻近时刻海表温度的订正;为了消除多源海表温度间的系统偏差,以Himawari-8 AHI海表温度为目标数据,利用泊松方程对GCOM-W1 AMSR2海表温度进行偏差订正。实验验证结果表明,利用逐时次海表温度融合产品计算的日增温情况与海面风速具有较好的相关性,间接证实了逐时次海表温度融合产品的准确性;另外,逐时次海表温度融合产品与现场观测海表温度的偏差为0.09℃、均方根误差为0.89℃,二者具有较好的一致性,说明逐时次海表温度融合产品具有较高的精度。     

中国沿海海洋气候关键指标变化（英文）

基于中国沿海海洋站监测数据,详细探讨了能够表征气候变化的中国沿海海洋气候关键指标-海表温度、海平面和海冰。监测结果表明:(1)中国沿海海表温度持续升高。1980-2019年,中国沿海海表温度上升速率为0.25°C/10年,2011年之后升温趋势尤为显著,2015-2019年连续五年处于高位。2019年,中国沿海平均海表温度较常年(本文取1981-2010年为气候基准期)偏高1.1°C,为1980年以来最暖年份。此外,本文基于四个长期海洋站探讨了1960-2019年极端海表温度变化特征。(2)中国沿海海平面加速上升,且区域差异明显。中国沿海海平面上升速率为2.4毫米/年(1960-2019年)、 3.4毫米/年(1980-2019年)和3.9毫米/年(1993-2018年),其中渤莱湾、长江口、珠江口和海南沿海海平面上升较快。中国沿海极值水位总体呈明显上升趋势,且区域特征明显。1980-2019年,中国沿海年极值高水位上升速率为4.4毫米/年,其中山东烟台沿海上升速率最大,为9.9毫米/年。(3)渤海海冰冰期和冰量均呈明显下降趋势。1963-2018年,渤海沿海年度海冰冰期和冰量下降速率分别为0.7～1.3天/年和4.5～5.9成/年,其中冰量下降速率北部大于南部。2019年渤海冰情较常年偏轻。     

估计海表温度的1种简便方法

依据随机过程线性均方估计的正交原理,可由水文站获得的海洋要素估计工程点的海洋要素。利用1984~2003年的卫星海表温度(SST)数据将该方法用于估计海表温度,并对该方法产生的误差进行了分析,结果表明该方法比传统方法更能有效地减小误差;其意义在于可在陆地台站和工程点进行一段时间的同步观测,找出两者之间的相关系数,之后便可长期由台站气温估计工程点的海表温度。     

西北太平洋常规SST资料的客观分析方法研究(II,旬平均台站报资料)

本文比较详细地分析考察了台站报资料的基本特点和质量水平，给出了一种用于西北太平洋旬平均海表温度（ＳＳＴ）场的台站报分析方法，通过与未包括台站报的西北太平洋旬平均ＳＳＴ分析场的比较发现，引入台站报资料对提高西北太平洋，特别是我国近海的旬平均ＳＳＴ场具有相当好的补充作用。     

Homogenization and trend analysis of 1960–2015 in situ sea surface temperature observations along the coast of China

Sea surface temperature(SST) measurements from 26 coastal hydrological stations of China during 1960–2015 were homogenized and analyzed in this study. The homogenous surface air temperature(SAT) series from meteorological stations which were highly correlated to SST series was used to construct the reference series.Monthly mean SST series were then derived and subjected to a statistical homogeneity test, called penalized maximal t test. Homogenized monthly mean SST series were obtained by adjusting all significant change points which were supported by historic metadata information. Results show that the majority of break points are caused by instrument change and station relocation, which accounts for about 61.3% and 24.2% of the total break points,respectively. The regionally averaged annual homogeneous SST series from the 26 stations shows a warming trend(0.19°C per decade). This result is consistent with that based on the homogenized annual mean SAT at the same region(0.22°C per decade), while the regionally averaged mean original SST series from the same stations shows a much weaker warming of 0.09°C per decade for 1960–2015. This finding suggests that the effects of artificial change points on the result of trend analysis are remarkable, and the warming rate from original SST observations since 1960 may be underestimated. Thus a high quality homogenized observation is crucial for robust detection and assessment of regional climate change. Furthermore, the trends of the seasonal mean homogenized SST were also analyzed. This work confirmed that there was an asymmetric seasonal temperature trends in the Chinese coastal water in the past decades, with the largest warming rate occurring in winter. At last,the significant warming in winter and its relationships to the variability of three large-scale atmospheric modes were investigated.     

2012年福建沿海大规模米氏凯伦藻赤潮暴发的水文气象原因探讨

本文利用ERA-Interim资料集、HYCOM全球再分析资料以及沿海各站点数据,通过分析比较2005、2011和2012年福建沿海春季(3—5月)气温、水温、风场、流场和降雨数据,探讨了2012年春季水文、气象要素的年际变化特征及其与米氏凯伦藻暴发的关系。结果表明:2012年春季暴发的大规模米氏凯伦藻赤潮极可能与初春水温偏低,晚春水温偏高,后期海水迅速升温有关:初春(3月)沿海水温偏低,抑制了东海原甲藻的前期孕育;晚春(5月)水温偏高,有利于各种藻类,特别是偏暖暴发的米氏凯伦藻的生长;3—5月海水过快的升温过程,使得米氏凯伦藻成为优势藻种。相对于气候态平均而言,2012年5月呈强北风特性,水体向岸堆积作用明显,有利于藻类在近岸的堆积聚集和种群密度的提高,为藻类的生长提供了稳定的动力环境,促进了赤潮的暴发。此外,2012年1—4月的大降雨量可能为米氏凯伦藻的生长提供了良好的生物化学环境。     

台湾海峡西岸地面风气候变化分析

利用1961—2005年台湾海峡西部沿岸平潭、崇武、东山及厦门等4个气象代表站的地面风观测资料，通过计算各代表站的年、季、月平均风速气候趋势系数和各风向频率趋势，较详细地分析了近45a来台湾海峡西部沿岸地面风的气候变化特征．结果表明：（1）近45a来各代表站年平均风速呈明显减小趋势，其中秋、冬、春季平均风速减小趋势明显，夏季风速减小趋势不明显．（2）海峡西部沿岸主导风向有沿海岸线由北向南顺转的特点．（3）海峡西部沿岸地面风速在上世纪80年代初存在着气候突变现象，80年代中期后年平均风速减小明显．     

Abnormality of the monsoon wind in the sea area along the southeastern coast of China and the response of the northern area of the South China Sea during the ENSO events

Variations of monsoon wind field in the sea area along the southeastern coast of China during the ENSO events and its influence on the sea level and sea surface temperature (SST) are explored mainly on the basis of the data of monthly mean wind at 850 hPa and five coastal stations during 1973-1987. The results from the analyses of the data and theoretical estimation show that the southwest wind anomalies appeared in the study area during the events, and northeast wind anomalies occurred in general before the events. With the coastline of the area being parallel basically to the direction of the wind, an Ekman transport will result in an accumulation of the water near the coast or a departure of the water from the coast. As a result , the sea level and SST there will be affected markedly. During the events, southwest wind will intensify in the summer, and northeast wind will weaken in the winter. Their total effect is that a large negative anomaly of the sea level and SST will occur. The estimations indi     

Recent Sea Level and Sea Surface Temperature Trends Along the Bangladesh Coast in Relation to the Frequency of Intense Cyclones

Bangladesh, one of the most densely populated countries in the world, is a victim of frequent natural calamities like tropical cyclones, tornadoes, floods, storm surges and droughts. Now the sea level rise (SLR) has also been included in these natural calamities. The SLR is likely to have greater impact on that part of Bangladesh having low topography and a wide flood plain. Since 21% of the population lives in the low coastal belt, any increase in sea level will be a problem of ominous proportion for Bangladesh. Since the cyclogenesis enhances over the Bay of Bengal during May and November, the sea level and sea surface temperature (SST) trends of these two months have been analyzed and calculated. The results of the selected stations one in the eastern coast and another in the western coast of Bangladesh show that Bangladesh coastal sea level is rising in the same way as the global sea level, but the magnitude is quite different. The difference in the behavior of sea level rise along the Bangladesh coast and the global trend may be due to the tectonic activity such as subsidence of the land. The mean tide level at Hiron Point (in Sunderbans) has shown an increasing trend of about 2.5 mm/year in May and 8.5 mm/year in November. Similarly near Cox?s Bazar (in the eastern coast of Bangladesh) it has registered a positive trend of about 4.3 mm/year in May and 10.9 mm/year in November. Thus the increment in the sea level along the Bangladesh coast during cyclone months is much more pronounced. In coastal waters near Hiron Point the SST has registered an increasing trend of about 1°C in May and 0.5°C in November during the 14-year period from 1985?1998. Near Cox?s Bazar, SST has shown a rising trend of about 0.8°C in May and about 0.4°C in November during the same 14-year period. The magnitude of SST trend is slightly more along the west coast. Any change in the frequency and intensity of tropical cyclones will have far reaching implications in the South Asian region. The rise in SST in the cyclone months seems to be correlated with the frequency and intensity of tropical cyclones. During these months, an increasing trend in the frequency and intensity of severe cyclones has been observed.     

浙南沿岸海表面温度分布特征(英文)

文章根据浙南沿岸3个海洋观测站大陈、坎门、南麂站51a(1960～2010年)SST观测资料,进行统计分析,得出SST时空分布特征。结果表明,浙南沿岸的SST总体呈现北低南高的趋势,冬季南北差异最小,夏季南北差异最大;51a年浙南沿岸SST总体呈现上升趋势,上升速率为0.017°C/a;SST变化存在3.5a、5a～6a、2a～7a及11a左右的振荡周期;SST主要由年循环分量决定,谐波拟合效果良好。     

Climate Change in the Hydrometeorological Parameters of the Black and Azov Seas (1980–2020)

Oceanology - To study the nature of climate change in the hydrometeorological parameters of the Black and Azov Seas—surface air temperature (SAT), sea surface temperature (SST), ice cover,...     

2015年台风“彩虹”过境后下山冷急流引起的南海北部海域异常海面降温

This study deals with a unusual cooling event after Typhoon Mujigea passed over the northern South China Sea(SCS) in October 2015. We analyze the satellite sea surface temperature(SST) time series from October 3 to 18,2015 and find that the cooling process in the coastal ocean had two different stages. The first stage occurred immediately after typhoon passage on October 3, and reached a maximum SST drop of –2℃ on October 7 as the usual cold wake after typhoon. The second stage or the unusual extended cooling event occurred after 7d of the typhoon passage, and lasted for 5d from October 10 to 15. The maximum SST cooling was –4℃ and occurred after 12d of typhoon passage. The mechanism analysis results indicate that after landing and moving northwestward to the Yunnan-Guizhou Plateau(YGP), Typhoon Mujigea(2015) met the westerly wind front on October 5. The lowpressure and positive-vorticity disturbances to the front triggered meridional air flow and low-pressure trough,thus induced a katabatic cold jet downward from the Qinghai-Tibet Plateau(QTP) passing through the YGP to the northwestern SCS. The second cooling reached the maximum SST drop 4d later after the maximum air temperature drop of –9℃ on October 11. The simultaneous air temperature and SST observations at three coastal stations reveal that it is this katabatic cold jet intrusion to lead the unusual SST cooling event.