Based on global monthly average data set of sea surface temperature (SST) during 1950 - 1992 and global monthly average 500 hPa height during 1930- 1997 offered by NCARINCEP, the feature of SST anomaly in the Atlantic...Based on global monthly average data set of sea surface temperature (SST) during 1950 - 1992 and global monthly average 500 hPa height during 1930- 1997 offered by NCARINCEP, the feature of SST anomaly in the Atlantic and its relation with summer precipitation over the Northeast China are analyzed. The results show that, the second eigenvector of the SST’s empirical orthogonal expanssion in winter season over the North Atlantic suggests that dist-ibution of SST anomaly has unusual meridional difference; The location of its center is basically identical to center of significant correlation region be- tween summer precipitation over the Northeast China and winter SST in the Atlantic. When winter SST in the North Atlantic is hot in south and cold in north, the blocking situation is stronger in the middle- high latitude. Correspondingly, the blocking high pressure in the northern North Pacific is also getting stronger, the westerlies circulation index in East Asia in next summer would be lower,as a result,more precipitation in the summer would be experienced over Northeast China and vice versa.展开更多
Uganda’s rainfall is controlled by large scale patterns and synoptic-scale weather features such as the Inter Tropical Convergence Zone(ITCZ), monsoons,meso-scale circulations,subtropical anticyclones and teleconnect...Uganda’s rainfall is controlled by large scale patterns and synoptic-scale weather features such as the Inter Tropical Convergence Zone(ITCZ), monsoons,meso-scale circulations,subtropical anticyclones and teleconnections.This study focused on the influence of sea surface temperatures(SSTs)on Uganda’s March-May(MAM)and September-November (SON)rains.The data used included展开更多
Sea-ice and Sea Surface Temperature in offshore seas are important terms for operational monitoring and forecasting marine environment in China. The software system of regional marine environmental application designe...Sea-ice and Sea Surface Temperature in offshore seas are important terms for operational monitoring and forecasting marine environment in China. The software system of regional marine environmental application designed by author is used for realtime operational monitoring sea-ice, SST, oceanic current and colours and characters of land surface. This software system processes quantitative AVHRR data from NOAA satellite to calculate calibration coefficient, solar angle correction, earth location parameter and atmospheric attenuation correction, then SST field will be produced through calculation using special SST model, and top-quality of colour composite imagery of satellite with variable spacial resolution (1, 2 or 5km) will be produced via image processing. Inside front covor Figure 1 is colour enhanced imagery with 5km resolution of NOAA satellite in offshore展开更多
Using a biogenic silica(Bio-Si)alkali extraction method,Bio-Si contents of 100 sedimentary covers from Cx21 borehole in the coastal water of Zhoushan, Zhejiang Province,China are analyzed.Combining with the data mater...Using a biogenic silica(Bio-Si)alkali extraction method,Bio-Si contents of 100 sedimentary covers from Cx21 borehole in the coastal water of Zhoushan, Zhejiang Province,China are analyzed.Combining with the data materials such as(210)~Pb sedimentation rate,sediment particle size,annual average sea surface temperature near the borehole from 1890 to the present,runoff discharge of Hankou station in展开更多
本文采用1979~2012年的中国沿海台站观测数据对ERA-Interim（简称＂ERA-I＂）的气温、气压和海温数据进行质量评估。结果表明：（1）从常年平均来看,ERA-I气温、气压和海温多年月平均变化与观测数据吻合较好,可以反映气候态的季节变化...本文采用1979~2012年的中国沿海台站观测数据对ERA-Interim（简称＂ERA-I＂）的气温、气压和海温数据进行质量评估。结果表明：（1）从常年平均来看,ERA-I气温、气压和海温多年月平均变化与观测数据吻合较好,可以反映气候态的季节变化特征。与台站观测数据相比,ERA-I气温平均偏高0.19℃,气压平均偏低0.17 h Pa,海温平均偏高0.70℃。（2）从年际变化情况来看,ERA-I和台站观测的气温、气压和海温变化趋势一致,气温和海温呈上升趋势,气压呈下降趋势。但在海南岛附近使用ERA-I气温做年际变化分析和在东海台湾海峡至北部湾沿岸使用ERA-I海温做年际变化趋势分析时要谨慎。（3）从月均变化分析来看,ERA-I月均气温、气压和海温数据与台站实测数据具有很好的一致性。从误差空间分布来看,ERA-I气温在黄海沿岸平均误差最小,ERA-I气压在渤海沿岸平均误差最小,ERA-I海温在南海沿岸平均误差最小。需要特别指出的是,ERA-I月均海温在渤海和台湾海峡附近沿岸平均误差较大（部分站均方根误差超过2.5℃）,在上述区域使用ERA-I海温数据时应考虑其产品偏差。展开更多
海表面温度(sea surface temperature, SST)受到海洋大气相互作用过程的显著影响,与全球气候、海洋环流以及海洋生态环境有着密切联系。利用卫星遥感SST融合数据以及大气再分析数据,基于卷积长短期记忆神经网络(convolutional long-shor...海表面温度(sea surface temperature, SST)受到海洋大气相互作用过程的显著影响,与全球气候、海洋环流以及海洋生态环境有着密切联系。利用卫星遥感SST融合数据以及大气再分析数据,基于卷积长短期记忆神经网络(convolutional long-short term memory, ConvLSTM)对南海北部未来7 d SST预报开展研究。通过多组敏感性试验,从模型参数、气象要素以及预报策略三方面探讨影响SST预报效果的关键因素并获取最优模型配置。输入历史14 d SST数据至4层自回归模型可以得到最佳均方根误差0.21~0.66°C;添加多项气象要素对于模型起到约12%的显著优化,且优化区域集中在200 m以浅的近岸海域;采用整体预报策略在未来3~7 d的预报效果全面领先,并且整体性能和运行效率综合表现最佳。综合考虑三个因素确定的深度学习模型在预报2022年未来7 d SST的均方根误差为0.18~0.58°C,为建立南海北部海温智能预报模型提供了新的方案建议。展开更多
文摘Based on global monthly average data set of sea surface temperature (SST) during 1950 - 1992 and global monthly average 500 hPa height during 1930- 1997 offered by NCARINCEP, the feature of SST anomaly in the Atlantic and its relation with summer precipitation over the Northeast China are analyzed. The results show that, the second eigenvector of the SST’s empirical orthogonal expanssion in winter season over the North Atlantic suggests that dist-ibution of SST anomaly has unusual meridional difference; The location of its center is basically identical to center of significant correlation region be- tween summer precipitation over the Northeast China and winter SST in the Atlantic. When winter SST in the North Atlantic is hot in south and cold in north, the blocking situation is stronger in the middle- high latitude. Correspondingly, the blocking high pressure in the northern North Pacific is also getting stronger, the westerlies circulation index in East Asia in next summer would be lower,as a result,more precipitation in the summer would be experienced over Northeast China and vice versa.
基金Instrument Developing Project of the Chinese Academy of Sciences(YZ201136)National Natural Science Foundation of China(41106086,41474065,41376059,41376061,91428205,41576036,41076028,41476167,and 41606080)Chinese Academy of Sciences Scholarship,the Strat
文摘Uganda’s rainfall is controlled by large scale patterns and synoptic-scale weather features such as the Inter Tropical Convergence Zone(ITCZ), monsoons,meso-scale circulations,subtropical anticyclones and teleconnections.This study focused on the influence of sea surface temperatures(SSTs)on Uganda’s March-May(MAM)and September-November (SON)rains.The data used included
文摘Sea-ice and Sea Surface Temperature in offshore seas are important terms for operational monitoring and forecasting marine environment in China. The software system of regional marine environmental application designed by author is used for realtime operational monitoring sea-ice, SST, oceanic current and colours and characters of land surface. This software system processes quantitative AVHRR data from NOAA satellite to calculate calibration coefficient, solar angle correction, earth location parameter and atmospheric attenuation correction, then SST field will be produced through calculation using special SST model, and top-quality of colour composite imagery of satellite with variable spacial resolution (1, 2 or 5km) will be produced via image processing. Inside front covor Figure 1 is colour enhanced imagery with 5km resolution of NOAA satellite in offshore
文摘Using a biogenic silica(Bio-Si)alkali extraction method,Bio-Si contents of 100 sedimentary covers from Cx21 borehole in the coastal water of Zhoushan, Zhejiang Province,China are analyzed.Combining with the data materials such as(210)~Pb sedimentation rate,sediment particle size,annual average sea surface temperature near the borehole from 1890 to the present,runoff discharge of Hankou station in
文摘本文采用1979~2012年的中国沿海台站观测数据对ERA-Interim（简称＂ERA-I＂）的气温、气压和海温数据进行质量评估。结果表明：（1）从常年平均来看,ERA-I气温、气压和海温多年月平均变化与观测数据吻合较好,可以反映气候态的季节变化特征。与台站观测数据相比,ERA-I气温平均偏高0.19℃,气压平均偏低0.17 h Pa,海温平均偏高0.70℃。（2）从年际变化情况来看,ERA-I和台站观测的气温、气压和海温变化趋势一致,气温和海温呈上升趋势,气压呈下降趋势。但在海南岛附近使用ERA-I气温做年际变化分析和在东海台湾海峡至北部湾沿岸使用ERA-I海温做年际变化趋势分析时要谨慎。（3）从月均变化分析来看,ERA-I月均气温、气压和海温数据与台站实测数据具有很好的一致性。从误差空间分布来看,ERA-I气温在黄海沿岸平均误差最小,ERA-I气压在渤海沿岸平均误差最小,ERA-I海温在南海沿岸平均误差最小。需要特别指出的是,ERA-I月均海温在渤海和台湾海峡附近沿岸平均误差较大（部分站均方根误差超过2.5℃）,在上述区域使用ERA-I海温数据时应考虑其产品偏差。
文摘海表面温度(sea surface temperature, SST)受到海洋大气相互作用过程的显著影响,与全球气候、海洋环流以及海洋生态环境有着密切联系。利用卫星遥感SST融合数据以及大气再分析数据,基于卷积长短期记忆神经网络(convolutional long-short term memory, ConvLSTM)对南海北部未来7 d SST预报开展研究。通过多组敏感性试验,从模型参数、气象要素以及预报策略三方面探讨影响SST预报效果的关键因素并获取最优模型配置。输入历史14 d SST数据至4层自回归模型可以得到最佳均方根误差0.21~0.66°C;添加多项气象要素对于模型起到约12%的显著优化,且优化区域集中在200 m以浅的近岸海域;采用整体预报策略在未来3~7 d的预报效果全面领先,并且整体性能和运行效率综合表现最佳。综合考虑三个因素确定的深度学习模型在预报2022年未来7 d SST的均方根误差为0.18~0.58°C,为建立南海北部海温智能预报模型提供了新的方案建议。
