• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Hydrology and Earth System Sciences >DAHITI – an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry
【24h】

DAHITI – an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry

机译：DAHITI –一种使用多任务卫星测高仪估算内陆水位时间序列的创新方法

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Satellite altimetry has been designed for sea level monitoring over openocean areas. However, for some years, this technology has also been used toretrieve water levels from reservoirs, wetlands and in general any inlandwater body, although the radar altimetry technique has been especiallyapplied to rivers and lakes. In this paper, a new approach for the estimationof inland water level time series is described. It is used for thecomputation of time series of rivers and lakes available through the webservice "Database for Hydrological Time Series over Inland Waters"(DAHITI). The new method is based on an extended outlier rejection and aKalman filter approach incorporating cross-calibrated multi-mission altimeterdata from Envisat, ERS-2, Jason-1, Jason-2, TOPEX/Poseidon, and SARAL/AltiKa,including their uncertainties. The paper presents water level time series fora variety of lakes and rivers in North and South America featuring differentcharacteristics such as shape, lake extent, river width, and data coverage. Acomprehensive validation is performed by comparisons with in situ gauge dataand results from external inland altimeter databases. The new approach yieldsrms differences with respect to in situ data between 4 and 36 cm for lakesand 8 and 114 cm for rivers. For most study cases, moreaccurate height information than from other available altimeter databasescan be achieved.
机译：卫星测高仪专为在Openocean地区进行海平面监测而设计。然而，尽管雷达测高技术已特别应用于河流和湖泊，但多年来，该技术也已用于从水库，湿地以及一般任何内陆水体中获取水位。本文介绍了一种估算内陆水位时间序列的新方法。它用于通过网络服务“内陆水文时间序列数据库”（DAHITI）提供的河流和湖泊时间序列的计算。新方法基于扩展的异常值剔除和aKalman滤波方法，结合了来自Envisat，ERS-2，Jason-1，Jason-2，TOPEX / Poseidon和SARAL / AltiKa的交叉校准的多任务高度计数据，包括其不确定性。本文介绍了北美和南美各种湖泊和河流的水位时间序列，这些序列具有不同的特征，例如形状，湖泊范围，河流宽度和数据覆盖率。通过与现场仪表数据和外部内陆高度计数据库的结果进行比较来进行全面验证。新方法相对于湖泊的原位数据产生均方根差，湖泊在4至36 cm之间，河流在8至114 cm之间。对于大多数研究案例，可以获得比其他可用的高度计数据库更准确的高度信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号