利用卫星数据确定大型湖泊和水库水位的前景:俄罗斯水体案例研究

IF 1.4 4区 地球科学 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
V. S. Vuglinskii, J. F. Cretaux, A. V. Izmailova, S. I. Gusev, L. S. Kurochkina
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引用次数: 0

摘要

摘要 在过去二十年里,从卫星上接收到的用于确定大型湖泊和水库水位的信息的数量和质量都有了显著提高。与此同时,由于精度不足,卫星测量结果需要在与地面观测数据对比的基础上进行调整。后者不仅可以评估卫星数据的误差,还可以作为一种基准,用于开发和调整其修正方法。空间地球物理和海洋学研究实验室(LEGOS,法国)和国家水文研究所多年来一直在联合开发这种方法。本文分析了卫星和地面数据误差的原因和来源,比较和分析这些数据长期序列的技术,以及调整卫星观测结果以提高其准确性的方法。为提高内陆水体水位卫星数据的可靠性,考虑了进一步发展卫星测高的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prospects of Using Satellite Data for Determining Water Levels in Large Lakes and Reservoirs: A Case Study for Russian Water Bodies

Abstract

Over the past two decades, the volume and quality of information received from satellites to determine the water level of large lakes and reservoirs have significantly increased. At the same time, due to insufficient accuracy, the results of satellite measurements need an adjustment based on the comparison with ground-based observations. The latter not only allow evaluating errors in satellite data, but also serve as a kind of a benchmark for the development and adaptation of the methods of their correction. Such a methodology is being developed for several years jointly by the Laboratory of Space Geophysical and Oceanographic Studies (LEGOS, France) and the State Hydrological Institute. The paper analyzes the causes and sources of errors in satellite and ground data, the techniques for comparing and analyzing long-term series of these data, and the methods for adapting the results of satellite observations in order to improve their accuracy. The directions of further development of satellite altimetry are considered to increase the reliability of satellite data on the water level of inland water bodies.

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来源期刊
Russian Meteorology and Hydrology
Russian Meteorology and Hydrology METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
1.70
自引率
28.60%
发文量
44
审稿时长
4-8 weeks
期刊介绍: Russian Meteorology and Hydrology is a peer reviewed journal that covers topical issues of hydrometeorological science and practice: methods of forecasting weather and hydrological phenomena, climate monitoring issues, environmental pollution, space hydrometeorology, agrometeorology.
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