全球变暖背景下最近40年太平洋海温变化数值模拟

用Non-Boussinesq POP模式和1960—1999年NCEP的1 000 hPa大气温度和风场资料,模拟了最近40 a太平洋海温的变化,通过与实际观测结果比较,得出模拟结果是可信的,并且得到了一些有意义的结果:在海面,太平洋最大的增温发生在赤道中东太平洋,即Niño1-Niño4区内,最大的降温在中纬度南北太平洋中部,除了北半球太平洋西岸40°N附近为降温外,在北半球太平洋沿岸基本上为升温,但太平洋东海岸的升温幅度要远大于西海岸;在太平洋0~483 m深度垂直方向,除了赤道中太平洋区域海温的变化在海面为上升,在169 m处为下降,在483 m处又转为上升外,其他区域海温的变化在垂直方向基本上为线性变化。在全球增暖的背景下,虽然El Niño现象在20世纪90年代以后表现出增强的趋势,但是反映在赤道表面以下的次表层西太平洋暖池中的异常暖中心,在由西向东移动过程中其强度却是减弱的。     

全球变暖背景下对太平洋环流（1960—1999）的模拟

我们用Non—Boussinesq POP海洋模式和NECP 1000 hPa的风应力和气温场资料,模拟了1960—1999年太平洋环流,结果显示：在过去的40年,热带太平洋环流变弱了,另外,由于全球变暖,由北赤道流产生的向热带西太平洋沿岸的热输送和由南赤道流产生的向南太平洋中高纬度的热输送随着时间是减弱的,而在北半球,由北赤道流产生的向中高纬度的热输送是增加的。     

全球变暖背景下南海动力海平面变化

由于分辨率不足等原因,当前大部分全球耦合气候模式对南海等海洋区域的模拟能力仍然较低。本文基于超高分辨率（Ultra high-resolution） CESM-UHR耦合模式（大气和海洋水平分辨率分别达到约25 km和约10 km）研究了南海动力海平面对全球变暖的响应。研究发现：（1） CESM-UHR能够较好地模拟出南海冬、夏季节性动力海面高度和表层环流变化;（2）在四倍二氧化碳试验下,冬季南海动力海平面变化呈现出中部低、近岸高的分布特征;夏季则呈现出西北部低、东南部高的分布特征,分别对应冬、夏表层地转流增强趋势;（3）冬、夏动力海平面变化特征与风应力旋度变化具有很好的对应关系;（4）全球变暖下南海海平面变化存在季节循环放大效应,这将增大南海极端水位灾害风险。     

全球变暖背景下赤道太平洋温跃层的快慢变化特征与机制

本文利用GFDL CM2.1模拟的1％CO2增长理想试验结果,分析了在全球变暖背景下赤道太平洋温跃层深度的快慢两个时间尺度的变化特征.研究表明:在CO2浓度快速增加的阶段,赤道太平洋上层海洋层结增强,温跃层深度快速变浅(该阶段称为"快速变化阶段")且存在空间上的不均匀:在赤道中西太平洋(160°E～160°W之间)变浅...     

ENSO强度模拟差异对全球变暖下热带太平洋大气变化预估结果的影响

热带太平洋海洋大气耦合系统对全球变暖的响应是气候变化的热点问题.前人研究发现,气候模式的模拟偏差对于全球变暖响应结果有重要影响.本文利用美国大气研究中心(National Center for Atmospheric Research,NCAR)的地球系统模式(The Community Earth System Model,CESM)中的大气模式(Community Atmosphere Model version 5,CAM5)设计数值试验,在相同的SST(Sea Surface Temperature)增暖强迫下,通过改变海洋SST的年际变化振幅,来分析热带海洋年际变化强度的模拟对未来热带海区降水和大气环流场未来变化的影响.试验结果表明,随着SST年际变化强度的增加,全球变暖后热带太平洋降水变化的东西不对称性,以及向暖池区域辐合的风场变化等特征都逐渐减弱.进一步的分析发现,不同年际变化信号导致的大气场变化差异主要发生在冬季,是由于热带太平洋SST年际变化主模态ENSO(El Nino Southern Oscillation)的不对称性造成的:在厄尔尼诺年,强(弱)的年际变化信号会造成降水在东太平洋产生较大(小)的变化;而在拉尼娜年和正常年份,年际变化信号的强弱对热带降水变化的影响则不大.当热带海温的年际变化较大时,厄尔尼诺年的海温异常更强,造成的降水和风场的变化特征也会更加显著.     

气候变暖背景下中国沿海降水变化特征

IPCC第六次评估报告指出,随着全球变暖,强降水事件通常会变得更加频繁和强烈。暴雨是我国主要气象灾害之一,是引发洪涝的最主要原因。目前洪涝灾害已成为影响滨海城市公共安全和经济社会发展的重要因素,了解降水的变化特征对于科学应对气候变化和防灾减灾具有重要意义。本文研究结果显示,1966-2020年中国沿海降水量和暴雨及以上级别降水日数（日降水量≥50 mm的日数）总体均呈增多趋势,但变化趋势不显著;降水日数（日降水量≥0.1 mm的日数）总体呈减少趋势,且变化趋势显著。降水量和暴雨及以上级别降水日数在长江口至福建北部沿海和海南沿海增加趋势明显,山东省及以北沿海、广东省东部沿海呈减少趋势;降水日数除在长江口附近呈增多趋势外,其他沿海地区均以减少为主。降水日数总体减少,降水量总体增多,表明降水过程中降水强度有增加趋势。中国沿海总体暴雨及以上级别强降水主要集中在5-9月,出现频率占全年81.7%。多地出现最大日降水量超过250 mm情况,局部最大日降水量超过500 mm。强降水过程期间往往伴随高海平面,影响滨海城市行洪排涝,增加淹没风险。     

热带太平洋海平面高度年变化与季节内变化特征

利用小波分析方法 ,对热带太平洋 ( 30°S— 30°N ,1 30°E— 80°W ) 1 992年 1 0月 3日—1 996年 1 0月 9日期间的海平面高度资料从振荡周期、强度和传播等方面进行了全面分析。研究结果表明 ,海平面高度存在明显的年变化、5 8— 1 39天振荡和 2 9— 35天振荡。其中年变化主要存在于 0°— 1 5°N、1 35°E— 95°W ,传播不明显。 5 8- 1 39天振荡主要位于以 2 0°N和 2 0°S为中心的两个副热带区域中 (范围约为 1 6°N— 30°N、1 30°E— 1 5 0°W和 1 7°S— 30°S、1 5 0°E—1 5 0°W) ,它们向西传播 ,传播速度随纬度增高而变慢 ,在 2 0°N传播速度约为 1 0cm/s,波长约为80 0km。 90天左右的振荡具有年变化且与ElNi no事件有很好的对应关系。 2 9— 35天振荡主要存在于中东太平洋以 5°N和 5°S为中心的带状区域中 ,经度范围约为 1 60°W— 1 0 5°W和1 70°W— 1 40°W ,传播不明显。年变化、5 8— 1 39天和 2 9— 35天振荡方差占总方差的百分比分别约为 :2 0 %— 40 %、1 0 %和 1 %— 2 %。     

全球变暖对海洋的危害与对策

全球变暖导致海平面上升将使2亿人成为难民,危害极大,本文介绍全球变暖的原因、危害及其对策,并对我国防范海平面上升的对策提出建议。     

南海海面高度季节变化的数值模拟

比较POM模式模拟与观测(TOPEX/Poseidon高度计资料)的南海海面高度(SSH)的季节变化在空间分布上的一致性和差异.结果表明:本文使用的POM模式能较好地模拟南海SSH的季节变化;冬季与夏季,春季与秋季南海海面异常场形式完全相反,冬季Ekman输运造成在西海岸的堆积要比夏季在东海岸堆积更明显,而吕宋冷涡中心附近和吕宋海峡海面季节变化振幅最大;除春季以外,在南海绝大部分海域,海面高度的季节变化主要受风力的控制,南海海面热量通量对SSH的季节变化贡献约为20%,风应力对SSH的季节变化的贡献约为80%.     

气候变暖与海平面上升

本文通过大量实际资料分析认为,现代全球变暖与海平面上升,源于200多年前小冰期冷峰出现后的气候返暖、海平面回升过程演变的结果。近30年的世界海平面上升的速率,有着上世纪80、90年代和本世纪前10年世界平均气温每10年以0．2F°（0．11℃）为梯度的连续抬升为背景。在此以CO。含量为气候指标,划分出了公元200年以来的八个暖段（暖期）。若按冷暖极值距200年或250年计算,则由目前正在发展的暖期,将在公元2050年或2100年前后结束,而后开始降温。作者依据最近30年同一时段国内外验潮资料计算获得的绝对海平面升降速率为＋1．52±0．27mm／a及相对海平面升降速率为＋1．39±0．26mm/a。按照2010年坎昆气候大会决议要求,在对前人有关研究成果进行考量时,对将来的2050和2100年世界海平面预测及我国地面沉降较明显的沿海城市如天津、上海、厦门、海口等相对海平面升降值,进行了测算与评估。     

21世纪海上丝绸之路海洋上层热含量及热比容海平面异常变化

气候变暖背景下,全球平均海洋变暖和海平面上升显著,为人类社会的可持续发展带来巨大挑战。上层海洋热力状况是海平面变化的主导因子之一。本文围绕"21世纪海上丝绸之路"途经海区（文中简称为丝路海区）上层海洋热含量异常的区域性时空特征,分析探讨了丝路海区热比容海平面异常的时空变化、演变特征及可能影响,以期为"21世纪海上丝绸之路"海洋环境安全保障提供服务支撑。结果表明,自20世纪70年代中后期,丝路海区上层（0~700 m）海洋已明显变暖,尤其20世纪90年代中后期增暖幅度显著加大。近60年来,在丝路海区热带海洋中,西太平洋的北赤道流区及以北海域、东海黑潮流域以及南海北部和南部海区、阿拉伯海西北部海域、马来西亚西北部海域及南印度洋部分海域具有长期增暖趋势。热带西太平洋暖池区整体增暖不明显,主要与印度洋中部海域呈反位相变化,且明显受到季节和年际变化的调制。长江口附近沿岸、南海北部沿岸、中南半岛南部沿岸以及阿拉伯海西北部沿岸的近岸海域长期增暖明显,自20世纪90年代中后期,中南半岛东部和西部沿海、澳大利亚西部沿海以及我国东南沿海热比容海平面上升明显。近岸热比容海平面的季节演变对沿海地区社会和经济发展会造成一定影响。此外,东亚夏季风与东海、黄海和渤海热比容海平面的上升显著相关,同时,ENSO、太平洋年代际振荡和印度洋偶极子的发生也均与我国东南沿海和印度洋西部沿海热比容海平面上升明显关联。特别是,气候变暖情形下,各种区域性致灾因子和气候变率的协同影响会对丝路海区海岸带和沿海地区的防灾减灾与社会经济发展带来较大挑战,开展海岸带和沿海地区全球变化综合风险研究成为当前首要任务。     

Projections of ocean climate for northwestern Pacific Ocean

The long-term adjustment processes of atmosphere and ocean in response to gradually increased atmospheric CO2 concentration have been analyzed in 70 and 140a integrations with NCAR fully-coupled climate system model (CSM). In these experiments the CO2 concentration has been increased to double and quadruples the initial concentration, respectively. After 70a, at the time of CO2 doubling, the model predicts surface air temperature rises by 1.2 and 1.5K for the globe and the northwestern Pacific Ocean, respectively. The behavior of the quadrupling run is similar: each global and regional mean surface air temperatures increase by 2.8 and 3.0K at the time of CO2 quadrupling. From the experiments, surface air temperature changes in the northwestern Pacific Ocean will be more distinctive compared with the global average, mainly due to exceptionally large warming and sea level change near the entrance of the Kuroshio extension.     

Inferring the global mean sea level from a global tide gauge network

An attempt is made to infer the global mean sea level(GMSL) from a global tide gauge network and frame the problem in terms of the limitations of the network. The network,owing to its limited number of gauges and poor geographical distribution complicated further by unknown vertical land movements,is ill suited for measuring the GMSL. Yet it remains the only available source for deciphering the sea level rise over the last 100 a. The poor sampling characteristics of the tide gauge network have necessitated the usage of statistical inference. A linear optimal estimator based on the Gauss-Markov theorem seems well suited for the job. This still leaves a great deal of freedom in choosing the estimator. GMSL is poorly correlated with tide gauge measurements because the small uniform rise and fall of sea level are masked by the far larger regional signals. On the other hand,a regional mean sea level(RMSL) is much better correlated with the corresponding regional tide gauge measurements. Since the GMSL is simply the sum of RMSLs,the problem is transformed to one of estimating the RMSLs from regional tide gauge measurements. Specifically for the annual heating and cooling cycle,we separate the global ocean into 10-latitude bands and compute for each 10-latitude band the estimator that predicts its RMSL from tide gauges within. In the future,the statistical correlations are to be computed using satellite altimetry. However,as a first attempt,we have used numerical model outputs instead to isolate the problem so as not to get distracted by altimetry or tide gauge errors. That is,model outputs for sea level at tide gauge locations of the GLOSS network are taken as tide gauge measurements,and the RMSLs are computed from the model outputs. The results show an estimation error of approximately 2 mm versus an error of 2.7 cm if we simply average the tide gauge measurements to estimate the GMSL,caused by the much larger regional seasonal cycle and mesoscale variation plaguing the individual tide gauges. The numerical model,Los Alamos POP model Run 11 lasting 3 1/4 a,is one of the best eddy-resolving models and does a good job simulating the annual heating and cooling cycle,but it has no global or regional trend. Thus it has basically succeeded in estimating the seasonal cycle of the GMSL. This is still going to be the case even if we use the altimetry data because the RMSLs are dominated by the seasonal cycle in relatively short periods. For estimating the GMSL trend,longer records and low-pass filtering to isolate the statistical relations that are of interest. Here we have managed to avoid the much larger regional seasonal cycle plaguing individual tide gauges to get a fairly accurate estimate of the much smaller seasonal cycle in the GMSL so as to enhance the prospect of an accurate estimate of GMSL trend in short periods. One should reasonably expect to be able to do the same for longer periods during which tide gauges are plagued by much larger regional interannual(e. g.,ENSO events) and decadal sea level variations. In the future,with the availability of the satellite altimeter data,we could use the same approach adopted here to estimate the seasonal variations of GMSL and RMSL accurately and remove these seasonal variations accordingly so as to get a more accurate statistical inference between the tide gauge data and the RMSLs(therefore the GMSL) at periods longer than 1 a,i. e.,the long-term trend.     

Period components in the monthly mean sea level variations in the Pacific Ocean

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Spatial and temporal variability of heat content above the thermocline in the tropical Pacific Ocean

Abstract-Heat content of the upper layer above the 20℃ isotherm in the tropical Pacific Ocean isestimated by using the sea temperature data set with a resolution 2°latitude×5°longitude (1980～1993)for the water depths (every 10 m) from 0 m to 400 m, and its temporal and spatial variabilities are an-alyzed. (1) The temporal variability indicates that the total heat in the upper layer of the equatorial Pa-cific Ocean is charcterized by the interannual variability. The time series of the equatorial heat anomaly5 months lead that of the El Nino index at the best positive lag correlation between the two, and theformer 13 months lag behind the latter at their best negative lag correlation. Therefore the equatorialheat content can be used as a better predictor than the El Nino index for a warm or cold event. In addi-tion, it is also found that less heat anomaly in the equator corresponds to the stronger warm events inthe period (1980～1993) and much more heat was accumulated in the 4 years including 1992/1     

Sampling errors of the global mean sea level derived from TOPEX/Poseidon altimetry

Sampling errors of the global mean sea level derived from TOPEX/Poseidon (T/P) altimetry are explored using 31/ 4a of eddy-resolving numerical model outputs for sea level. By definition, the sampling errors would not exist if data were available everywhere at all times. Four problems with increasing and progressively added complexities are examined to understand the causes of the sampling errors. The first problem (P1) explores the error incurred because T/P with turning latitudes near 66° latitudes does not cover the entire globe. The second problem (P2) examines, in addition, the spatial sampling issue because samples are only available along T/P ground tracks. The third problem (P3) adds the additional complexity that sea level at any along track location is sampled only once every 10 d versus every 3 d for the model (i.e., the temporal sampling issue). The fourth problem (P4) incorporates the full complexity with the addition of real T/P data outages. The numerical model (Los Alamos POP model Run 11) conserves the total water volume, thus generating no global mean sea level variation. Yet when the model sea level is sampled in the four problems (with P4 using the real T/P sampling), variations occur as manifestations of the sampling errors. The results show root-mean-squares (rms) sampling errors for P1 of 0.67 (0.75) mm for 10 d (3 d) global mean sea level, 0.78 (0.86) mm for P2, 0.79 mm for P3, and 1.07 mm for P4, whereas the amplitudes of the sampling errors can be as large as 2.0 (2.7) mm for P1, 2.1 (2.7) mm for P2, 2.2 mm for P3, and 2.5 mm for P4. The results clearly show the largest source of the sampling errors to be the lack of global coverage (i.e., P1), which the model has actually underestimated due to its own less-than-global coverage (between latitudes about 77° latitudes). We have extrapolated that a truly global model would show the rms sampling error to be 1.14 (1.28) mm for P1, thus implying a substantially larger sampling error for P4.     

太平洋海浪场时空特征分析

为了深入了解太平洋海浪场特别是涌浪场的时空分布特征,利用44 a(1958~2001年)ERA-40海浪再分析资料对南、北太平洋风浪和涌浪的波高和波向进行了统计分析,结果表明:北太平洋海浪场比南太平洋具有更明显的季节变化特征,四季中南太平洋涌浪均有明显的越赤道北传过程.南、北半球西风带海浪波高随时间呈线性增长趋势,且涌浪分别存在2.4~3.7 a 和2.9 a 左右的显著周期,风浪和混合浪波高存在6.5 a 和5.2 a 的共同周期