In this study,to meet the need for accurate tidal prediction,the accuracy of global ocean tide models was assessed in the South China Sea(0°–26°N,99°–121°E).Seven tide models,namely,DTU10,EOT11 a...In this study,to meet the need for accurate tidal prediction,the accuracy of global ocean tide models was assessed in the South China Sea(0°–26°N,99°–121°E).Seven tide models,namely,DTU10,EOT11 a,FES2014,GOT4.8,HAMTIDE12,OSU12 and TPXO8,were considered.The accuracy of eight major tidal constituents(i.e.,Q1,O1,P1,K1,N2,M2,S2 and K2)were assessed for the shallow water and coastal areas based on the tidal constants derived from multi-mission satellite altimetry(TOPEX and Jason series)and tide gauge observations.The root mean square values of each constituent between satellite-derived tidal constants and tide models were found in the range of 0.72–1.90 cm in the deep ocean(depth>200 m)and 1.18–5.63 cm in shallow water area(depth<200 m).Large inter-model discrepancies were noted in the Strait of Malacca and the Taiwan Strait,which could be attributable to the complicated hydrodynamic systems and the paucity of high-quality satellite altimetry data.In coastal regions,an accuracy performance was investigated using tidal results from 37 tide gauge stations.The root sum square values were in the range of 9.35–19.11 cm,with the FES2014 model exhibiting slightly superior performance.展开更多
介绍TPXO、FES、Chinatide、MIKE Global Tide、Utide等典型海潮模型,总结归纳其同化潮汐数据来源和最新的海洋地形数据,利用我国沿岸长期验潮站以外的26个中短期潮位观测站评估TPXO等海潮模型预报精度。结果表明,全球海潮模型对我国沿...介绍TPXO、FES、Chinatide、MIKE Global Tide、Utide等典型海潮模型,总结归纳其同化潮汐数据来源和最新的海洋地形数据,利用我国沿岸长期验潮站以外的26个中短期潮位观测站评估TPXO等海潮模型预报精度。结果表明,全球海潮模型对我国沿海M_2分潮的预报精度普遍较低,且主导了几种海潮模型在中国海域的整体预报精度;相比MIKE Global Tide和TPXO7.2,TPXO8、TPXO_Yellow Sea 2010和TPXO_China&Ind模型在我国沿海的预报精度更高。展开更多
湖泊水位是一项常规水文参数,也是众多管理与研究工作的基础。本文以Jason-2测高卫星SGDR(Sensor Geophysical Data Record)数据为基础,选取东南亚最大且颇具国际影响的洞里萨湖为研究区,集成波形重追踪(OCOG算法与Threshold算法)和数...湖泊水位是一项常规水文参数,也是众多管理与研究工作的基础。本文以Jason-2测高卫星SGDR(Sensor Geophysical Data Record)数据为基础,选取东南亚最大且颇具国际影响的洞里萨湖为研究区,集成波形重追踪(OCOG算法与Threshold算法)和数据筛选方法对卫星测高数据月精度进行了提升。结果表明在月尺度上:(1)OCOG算法在洞里萨湖有很好的表现,其平均绝对误差(MAE)为0.78m,相对偏差为12.80%;(2)集成基于数据质量等级筛选方法对上述OCOG算法结果进行优化以后,MAE降低为0.73m,RB降低为8.70%;(3)洞里萨湖水位变化与降雨量有很强相关性,且存在2月左右的滞后期。本研究对测高卫星在内陆湖泊进行水位监测,特别在填补资料匮乏地区湖泊水位数据方面具有重要意义。展开更多
卫星激光测高技术能够获取高精度地表高程分布信息,在对地观测领域具有独特的优势。中国近年来陆续发射的高分七号卫星和资源三号03星均搭载了激光测高系统,用于全球高程控制点获取。随着高分七号卫星、资源三号03星稳定在轨运行,并持...卫星激光测高技术能够获取高精度地表高程分布信息,在对地观测领域具有独特的优势。中国近年来陆续发射的高分七号卫星和资源三号03星均搭载了激光测高系统,用于全球高程控制点获取。随着高分七号卫星、资源三号03星稳定在轨运行,并持续获取激光测高数据,中国首次在激光测高领域形成相关数据产品,即自然资源卫星激光测高标准产品(SLA03)。本文以平原、有森林覆盖的山地两个不同类型区域的高精度机载点云数据为参考,对中国自然资源卫星激光测高标准产品的高程精度进行综合评价。结果显示:在使用合适的阈值剔除人工建筑、树木冠层的激光点后,高分七号卫星SLA03数据在平原地区高程精度RMSE达到0.653 m,LE90为1.055 m,其中60%以上精度优于0.3 m,而在有森林覆盖的山地下降至1.210 m (RMSE)和2.002 m(LE90);资源三号03星SLA03数据在平原地区达到1.312 m (RMSE)和2.389 m (LE90),其中50%以上精度优于0.5 m,有森林覆盖的山地则为1.661 m (RMSE)和2.999 m (LE90)。另外,高分七号卫星SLA03数据受季节因素影响较为明显,主要由植被生长引起。相关结论能够指导自然资源卫星激光测高标准产品的深入应用,并为后续卫星激光测高载荷设计与参数论证提供支撑。展开更多
基金The National Key Research and Development Program of China under contract Nos 2017YFC0306003 and 2016YFB0501703the National Natural Science Foundation of China under contract Nos 41876111,41706115 and 41806214
文摘In this study,to meet the need for accurate tidal prediction,the accuracy of global ocean tide models was assessed in the South China Sea(0°–26°N,99°–121°E).Seven tide models,namely,DTU10,EOT11 a,FES2014,GOT4.8,HAMTIDE12,OSU12 and TPXO8,were considered.The accuracy of eight major tidal constituents(i.e.,Q1,O1,P1,K1,N2,M2,S2 and K2)were assessed for the shallow water and coastal areas based on the tidal constants derived from multi-mission satellite altimetry(TOPEX and Jason series)and tide gauge observations.The root mean square values of each constituent between satellite-derived tidal constants and tide models were found in the range of 0.72–1.90 cm in the deep ocean(depth>200 m)and 1.18–5.63 cm in shallow water area(depth<200 m).Large inter-model discrepancies were noted in the Strait of Malacca and the Taiwan Strait,which could be attributable to the complicated hydrodynamic systems and the paucity of high-quality satellite altimetry data.In coastal regions,an accuracy performance was investigated using tidal results from 37 tide gauge stations.The root sum square values were in the range of 9.35–19.11 cm,with the FES2014 model exhibiting slightly superior performance.
基金supported by the National Natural Science Foundation of China (Grant Nos.42192535,41931076,42274116,42174102)the Basic Frontier Science Research Program of Chinese Academy of Sciences (Grant No.ZDBS-LY-DQC028).
文摘介绍TPXO、FES、Chinatide、MIKE Global Tide、Utide等典型海潮模型,总结归纳其同化潮汐数据来源和最新的海洋地形数据,利用我国沿岸长期验潮站以外的26个中短期潮位观测站评估TPXO等海潮模型预报精度。结果表明,全球海潮模型对我国沿海M_2分潮的预报精度普遍较低,且主导了几种海潮模型在中国海域的整体预报精度;相比MIKE Global Tide和TPXO7.2,TPXO8、TPXO_Yellow Sea 2010和TPXO_China&Ind模型在我国沿海的预报精度更高。
文摘湖泊水位是一项常规水文参数,也是众多管理与研究工作的基础。本文以Jason-2测高卫星SGDR(Sensor Geophysical Data Record)数据为基础,选取东南亚最大且颇具国际影响的洞里萨湖为研究区,集成波形重追踪(OCOG算法与Threshold算法)和数据筛选方法对卫星测高数据月精度进行了提升。结果表明在月尺度上:(1)OCOG算法在洞里萨湖有很好的表现,其平均绝对误差(MAE)为0.78m,相对偏差为12.80%;(2)集成基于数据质量等级筛选方法对上述OCOG算法结果进行优化以后,MAE降低为0.73m,RB降低为8.70%;(3)洞里萨湖水位变化与降雨量有很强相关性,且存在2月左右的滞后期。本研究对测高卫星在内陆湖泊进行水位监测,特别在填补资料匮乏地区湖泊水位数据方面具有重要意义。
文摘卫星激光测高技术能够获取高精度地表高程分布信息,在对地观测领域具有独特的优势。中国近年来陆续发射的高分七号卫星和资源三号03星均搭载了激光测高系统,用于全球高程控制点获取。随着高分七号卫星、资源三号03星稳定在轨运行,并持续获取激光测高数据,中国首次在激光测高领域形成相关数据产品,即自然资源卫星激光测高标准产品(SLA03)。本文以平原、有森林覆盖的山地两个不同类型区域的高精度机载点云数据为参考,对中国自然资源卫星激光测高标准产品的高程精度进行综合评价。结果显示:在使用合适的阈值剔除人工建筑、树木冠层的激光点后,高分七号卫星SLA03数据在平原地区高程精度RMSE达到0.653 m,LE90为1.055 m,其中60%以上精度优于0.3 m,而在有森林覆盖的山地下降至1.210 m (RMSE)和2.002 m(LE90);资源三号03星SLA03数据在平原地区达到1.312 m (RMSE)和2.389 m (LE90),其中50%以上精度优于0.5 m,有森林覆盖的山地则为1.661 m (RMSE)和2.999 m (LE90)。另外,高分七号卫星SLA03数据受季节因素影响较为明显,主要由植被生长引起。相关结论能够指导自然资源卫星激光测高标准产品的深入应用,并为后续卫星激光测高载荷设计与参数论证提供支撑。
