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RECENT PROGRESS IN DEVELOPMENT OF SWOT RIVER DISCHARGE ALGORITHMS

机译:SWOT河流排放算法发展的最新进展

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The Surface Water and Ocean Topography (SWOT) Mission is a satellite mission under joint development by NASA and CNES. The mission will use interferometric synthetic aperture radar technology to continuously map, for the first time, water surface elevations and water surface extents in rivers, lakes, and oceans at high spatial resolutions. Among the primary goals of SWOT is the accurate retrieval of river discharge directly from SWOT measurements. Although it is central to the SWOT mission, discharge retrieval represents a substantial challenge due to uncertainties in SWOT measurements and because traditional discharge algorithms are not optimized for SWOT-like measurements. However, recent work suggests that SWOT may also have unique strengths that can be exploited to yield accurate estimates of discharge. A NASA-sponsored workshop convened June 18-20, 2012 at the University of North Carolina focused on progress and challenges in developing SWOT-specific discharge algorithms. Workshop participants agreed that the only viable approach to discharge estimation will be based on a slope-area scaling method such as Manning’s equation, but modified slightly to reflect the fact that SWOT will estimate reach-averaged rather than crosssectional discharge. While SWOT will provide direct measurements of some key parameters such as width and slope, others such as baseflow depth and channel roughness must be estimated. Fortunately, recent progress has suggested several algorithms that may allow the simultaneous estimation of these quantities from SWOT observations by using multitemporal observations over several adjacent reaches. However, these algorithms will require validation, which will require the collection of new field measurements, airborne imagery from AirSWOT (a SWOT analogue), and compilation of global datasets of channel roughness, river width, and other relevant variables.
机译:地表水和海洋地形(SWOT)任务是NASA和CNES联合开发的卫星特派团。特派团将在高空间分辨率下首次使用干涉量合成射线雷达技术在河流,湖泊和海洋中的第一次,水面升高和水面范围连续地图。 SWOT的主要目标是,直接从SWOT测量直接检索河流放电。尽管它是SWOT任务的核心,但放电检索代表了由于SWOT测量中的不确定性,并且由于传统的放电算法未优化用于类似的SWOT样测量。然而,最近的工作表明,SWOT也可能具有独特的优势,可以利用来产生准确的放电估计。美国宇航局赞助的研讨会召开2012年6月18日至2012年,在北卡罗来纳大学专注于开发SWOT特定放电算法的进展和挑战。研讨会参与者同意,唯一可行的排放估算方法将基于射门区域缩放方法,如曼宁方程,但略微修改,以反映SWOT将估计达到的速度而不是横切放电。虽然SWOT将提供一些关键参数的直接测量,例如宽度和斜率,但必须估计其他诸如基流深度和信道粗糙度的其他键参数。幸运的是,最近的进展提出了几种算法,其可以允许通过在几个相邻的几个邻近的几个相邻的距离观察中同时估计这些量。然而,这些算法需要验证,这将需要收集新的现场测量,来自Airswot(SWOT模拟)的空中图像,以及汇编信道粗糙度,河流宽度和其他相关变量的全局数据集。

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