全球变化中的北极碳汇：现状与未来

由于海冰覆盖，北极碳汇（Arctic Carbon Sink）在全球碳通量预算中经常被忽略或简单处理。但随着全球变化加剧，北极发生快速变化，北极碳循环及其对全球变化的响应与反馈日趋重要。综合对北极碳汇的研究结果，分析了北极碳汇的来源、变化以及主要调控因子，评估了北极碳汇现状。探讨了在全球变化中，影响北极碳汇变化的因素及其对未来北极碳汇变化趋势的影响。      

Modelling of Ocean Shallow Convection under Fast Ice in the Arctic

Ocean convection in the Antarctic has been studied many times and has been revealed to be responsible for ice-cover reduction. In the Arctic, proof of that phenomenon has not been documented. It is believed that this phenomenon happens on a smaller scale in the Arctic when local circulation of deep warmer water melts and slows ice production. An example of this is the North Water (NOW) polynya in northern Baffin Bay. A polynya is an area of open water in an otherwise ice-covered area. As ice forms under the fast ice near the boundary of the polynya, ocean salts (brine) are ejected from the newly formed ice. This water, which has an increased concentration of salt, sinks and is replaced by warmer water from below, and this slows ice formation. In our study a coupled one-dimensional thermodynamic snow–fast ice model incorporating ocean heat flux input via a shallow convection model was used. Ice thickness was calculated using a thermodynamic model that included a current-induced entrainment model and a convection model to account for brine rejection during ice growth. Atmospheric observations from Grise Fiord and Thule and ocean profiles around the NOW polynya near these sites were used as input to the model. This purely thermodynamic study enables us to obtain ice thickness values that can be compared with qualitative observations. This modelling study compares two sites related to the NOW polynya. The results indicate that the shallow convection model simulates the reduction of fast ice near Thule but not near Grise Fiord.     

1948～2004年全球越赤道气流气候变化

利用1948年1月～2004年12月逐月NCEP/NCAR的全球1000 hPa、850 hPa、700 hPa、600 hPa、500 hPa、400 hPa、300 hPa、200 hPa、150 hPa、100 hPa的10层经向格点风,计算了全球越赤道气流和年变化,分析了全球850 hPa越赤道气流通道的时、空变化特征。指出在研究的时间段内,全球850 hPa越赤道气流有明显的长期趋势变化和年代际变化。近57年,6～8月的45～50°E、5～9月的105～115°E、5～9月和5～11月的130～140°E、2～4月的20～25°E的越赤道气流有明显的加强,6～8月的50～35°W的越赤道气流减弱。夏季索马里的越赤道气流,平均每10年增强0.25 m/s,而130～140°E,5～9月的越赤道气流,平均每10年增强0.32 m/s。奇异谱分析表明,850 hPa越赤道气流的年代际变化和趋势变化的方差贡献达到35%～45%。年际变化的方差贡献不超过30%,还指出夏季太平洋的越赤道气流的强度变化与南方涛动有明显关系,弱南方涛动时,有强的越赤道气流。而索马里急流强度与北大西洋涛动有弱的正相关。     

典型气候事件对北极渔业资源的影响

随着北极海冰融化加剧,越来越多的渔船涌入北极海域,促使北极渔业资源得到了更好的开发。在这种情况下,研究气候事件对北极海域的影响变得至关重要。本文选取了北大西洋多年代际涛动（Atlantic Multidecadal Oscillation,AMO）、北极涛动（Arctic Oscillation,AO）和北大西洋涛动（North Atlantic Oscillation,NAO） 这三种典型气候事件,通过超前滞后相关、回归分析等统计方法,探究它们与北极渔区 （以27渔区为代表） 渔业总捕捞量以及4种主要经济鱼种 （大西洋鳕、大西洋鲱、格陵兰大比目鱼和大西洋鲑） 捕捞量之间的联系。研究结果表明：1950－2020年,27渔区的海洋渔业总捕捞量总体呈现出两次上升与两次下降过程;在AMO及AO两种气候事件中,AMO对27渔区的捕捞量影响最为显著,同时海冰范围变化对捕捞资源同期影响很强;其中的1980－2020年,4种主要经济鱼种捕捞量与AO相关性均较低,而与AMO呈现明显正或负相关性;4种主要经济鱼种捕捞量与大西洋海表温度存在显著相关性,尤其是类AMO型的海温变化对这4种鱼种捕捞量波动可能存在显著影响。本研究不仅揭示了气候变化对北极渔业资源的显著影响,还根据研究结果提出相应的对策建议,为进一步研究提供了方向和参考,以期实现北极渔业资源可持续发展。     

Pollen morphology of selected tundra plants from the high Arctic of Ny-(A)lesund, Svalbard

Documenting morphological features of modem pollen is fundamental for the identification of fossil pollen, which will assist researchers to reconstruct the vegetation and climate of a particular geologic period. This paper presents the pollen morphol- ogy of 20 species of tundra plants from the high Arctic of Ny-Alesund, Svalbard, using light and scanning electron microscopy. The plants used in this study belong to 12 families： Brassicaceae, Caryophyllaceae, Cyperaceae, Ericaceae, Juncaceae, Papav- eraceae, Poaceae, Polygonaceae, Ranunculaceae, Rosaceae, Salicaceae, and Scrophulariaceae. Pollen grain shapes included： spher- oidal, subprolate, and prolate. Variable apertural patterns ranged from 2-syncolpate, 3-colpate, 3-（-4）-colpate, 3-（-5）-colpate, 3-colporate, 5-poroid, ulcerate, ulcus to pantoporate. Exine ornamentations comprised psilate, striate-perforate, reticulate, mi- croechinate, microechinate-perforate, scabrate, granulate, and granulate-perforate. This study provided a useful reference for com- parative studies of fossil pollen and for the reconstruction of paleovegetation and paleoclimate in Svalbard region of Arctic.     

Modeling Arctic Ocean heat transport and warming episodes in the 20th century caused by the intruding Atlantic Water

This study investigates the Arctic Ocean warming episodes in the 20th century using both a high-resolution coupled global climate model and historical observations. The model, with no flux adjustment, reproduces well the Atlantic Water core temperature （AWCT） in the Arctic Ocean and shows that four largest decadalscale warming episodes occurred in the 1930s, 70s, 80s, and 90s, in agreement with the hydrographic observational data. The difference is that there was no pre-warming prior to the 1930s episode, while there were two pre-warming episodes in the 1970s and 80s prior to the 1990s, leading the 1990s into the largest and prolonged warming in the 20th century. Over the last century, the simulated heat transport via Fram Strait and the Barents Sea was estimated to be, on average, 31.32 TW and 14.82 TW, respectively, while the Bering Strait also provides 15.94 TW heat into the west- ern Arctic Ocean. Heat transport into the Arctic Ocean by the Atlantic Water via Fram Strait and the Barents Sea correlates significantly with AWCT （ C = 0.75 ） at 0- lag. The modeled North Atlantic Oscillation （NAO） index has a significant correlation with the heat transport （ C = 0.37 ）. The observed AWCT has a significant correlation with both the modeled AWCT （ C =0.49） and the heat transport （ C =0.41 ）. However, the modeled NAO index does not significantly correlate with either the observed AWCT （ C = 0.03 ） or modeled AWCT （ C = 0.16 ） at a zero-lag, indicating that the Arctic climate system is far more complex than expected.     

南方涛动、热带海温与西北太平洋副高的联系

本文应用统计方法,首先探讨南方涛动指数与西北太平洋副热带高压的联系,然后分析赤道和热带太平洋区域海温对南方涛动的响应情况,同时分析南方涛动响应区域的海温与当时及滞后的西北太平洋副热带高压的联系,从中探讨南方涛动、厄尔尼诺海温异常及西北太平洋副热带高压之间的一种可能的相互作用机制。     

Transition Periods Between Sea Ice Concentration and Sea Surface Air Temperature in the Arctic Revealed by an Abnormal Running Correlation

This study used the synthetic running correlation coefficient calculation method to calculate the running correlation coefficients between the daily sea ice concentration(SIC) and sea surface air temperature(SSAT) in the Beaufort-Chukchi-East Siberian-Laptev Sea(BCEL Sea), Kara Sea and southern Chukchi Sea, with an aim to understand and measure the seasonally occurring changes in the Arctic climate system. The similarities and differences among these three regions were also discussed. There are periods in spring and autumn when the changes in SIC and SSAT are not synchronized, which is a result of the seasonally occurring variation in the climate system. These periods are referred to as transition periods. Spring transition periods can be found in all three regions, and the start and end dates of these periods have advancing trends. The multiyear average duration of the spring transition periods in the BCEL Sea, Kara Sea and southern Chukchi Sea is 74 days, 57 days and 34 days, respectively. In autumn, transition periods exist in only the southern Chukchi Sea, with a multiyear average duration of only 16 days. Moreover, in the Kara Sea, positive correlation events can be found in some years, which are caused by weather time scale processes.     

Fine-resolution simulation of surface current and sea ice in the Arctic Mediterranean Seas

A fine-resolution model is developed for ocean circulation simulation in the National Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG), Chinese Academy of Sciences, and is applied to simulate surface current and sea ice variations in the Arctic Mediterranean Seas. A dynamic sea ice model in elastic-viscous-plastic rheology and a thermodynamic sea ice model are employed. A 200-year simulation is performed and a dimatological average of a 10-year period (141st-150th) is presented with focus on sea ice concentration and surface current variations in the Arctic Mediterranean Seas. The model is able to simulate well the East Greenland Current, Beaufort Gyre and the Transpolar Drift, but the simulated West Spitsbergen Current is small and weak. In the March climatology, the sea ice coverage can be simulated well except for a bit more ice in east of Spitsbergen Island. The result is also good for the September scenario except for less ice concentration east of Greenland and greater ice concentration near the ice margin. The extra ice east of Spitsbergen Island is caused by sea ice current convergence forced by atmospheric wind stress.     

Detecting Arctic snow and ice cover with FY-1D global data

Chinese meteorological satellite FY-1D can obtain global data from four spectral channels which include visible channel(0.58-0.68 μm) and infrared channels(0.84-0.89 μm,10.3-11.3 μm,11.5-12.5 μm).2366 snow and ice samples,2024 cloud samples,1602 land samples and 1648 water samples were selected randomly from Arctic imageries.Land and water can be detected by spectral features.Snow-ice and cloud can be classified by textural features.The classifier is Bayes classifier.By synthesizing five d ays classifying result of Arctic snow and ice cover area,complete Arctic snow and ice cover area can be obtained.The result agrees with NOAA/NESDIS IMS products up to 70%.