DAHITI - an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry
DAHITI - an innovative approach for estimating water level time series over inland waters using multi-mission satellite altimetry
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DOI：
10.5194/hess-19-4345-2015
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发表时间：
2015-01-01
影响因子：
6.3
通讯作者：
Seitz, F.
中科院分区：
文献类型：
--
作者：
Schwatke, C.;Dettmering, D.;Seitz, F.
卫星测高是为监测开阔海域的海平面而设计的。然而，多年来，这一技术也被用于从水库、湿地和一般任何内陆水体中恢复水位，尽管雷达测高技术特别适用于河流和湖泊。本文提出了一种内陆水位时间序列估计的新方法。它用于计算通过网络服务“内陆沃茨水文时间序列数据库”（DAHITI）提供的河流和湖泊的时间序列。新方法是基于一个扩展的离群拒绝和卡尔曼滤波方法，将交叉校准的多任务高度计数据从环境卫星，ERS-2，贾森-1，贾森-2，TOPEX/海神，和SARAL/AltiKa，包括其不确定性。本文介绍了水位时间序列的各种湖泊和河流在北美和南美具有不同的特点，如形状，湖泊的范围，河流的宽度，和数据覆盖范围。通过与现场测量数据和外部内陆高度计数据库的结果进行比较，进行了全面的验证。新的方法产生RMS差异与4和36厘米之间的湖泊和8和114厘米的河流的原位数据。对于大多数研究情况下，更准确的高度信息比其他可用的高度计数据库可以实现。
Satellite altimetry has been designed for sea level monitoring over open ocean areas. However, for some years, this technology has also been used to retrieve water levels from reservoirs, wetlands and in general any inland water body, although the radar altimetry technique has been especially applied to rivers and lakes. In this paper, a new approach for the estimation of inland water level time series is described. It is used for the computation of time series of rivers and lakes available through the web service "Database for Hydrological Time Series over Inland Waters" ( DAHITI). The new method is based on an extended outlier rejection and a Kalman filter approach incorporating cross-calibrated multi-mission altimeter data from Envisat, ERS-2, Jason-1, Jason-2, TOPEX/Poseidon, and SARAL/AltiKa, including their uncertainties. The paper presents water level time series for a variety of lakes and rivers in North and South America featuring different characteristics such as shape, lake extent, river width, and data coverage. A comprehensive validation is performed by comparisons with in situ gauge data and results from external inland altimeter databases. The new approach yields rms differences with respect to in situ data between 4 and 36 cm for lakes and 8 and 114 cm for rivers. For most study cases, more accurate height information than from other available altimeter databases can be achieved.