Merging weather radar and rain gauges for dryland agriculture

IF 3.6 4区 地球科学 Q1 Earth and Planetary Sciences
Peter Weir, Peter Dahlhaus
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引用次数: 0

Abstract

The areal extent of rainfall remains one of the most challenging meteorological variables to model accurately due to its high spatial and temporal variability. Weather radar is a remote sensing instrument that is increasingly used to estimate rainfall by providing unique observations of precipitation events at fine spatial and temporal resolutions, which are difficult to obtain using conventional rain gauge networks. Dense rain gauge networks combined with operational weather radars are widely considered as the most reliable source of rainfall depth estimates. This paper compares the various sources of rainfall data available and explores the benefits of merging radar data with rain gauge data by reviewing the outcomes of a case study of a major agricultural cropping and pasture region. Comparison is made of rainfall measurements obtained from a dense rain gauge network covered by the output from a weather radar installation. We conclude that merging radar data with rain gauge data provides improved resolution of the spatial variability of rainfall, resulting in a significantly improved data source for agricultural water management and hydrological modelling. However, the use of weather radar merged with rain gauge data is generally underrated as a management tool.

为旱地农业合并天气雷达和雨量计
由于降雨在空间和时间上的高度可变性,降雨的区域范围仍然是最难精确建模的气象变量之一。气象雷达是一种遥感仪器,通过对降水事件提供独特的精细时空分辨率观测,越来越多地用于估算降雨量,而传统的雨量计网络很难获得这种观测数据。密集的雨量计网络与实用气象雷达相结合,被广泛认为是估算降雨深度的最可靠来源。本文比较了现有的各种降雨量数据来源,并通过回顾一个主要农业种植和牧场地区的案例研究结果,探讨了将雷达数据与雨量计数据合并的好处。我们比较了从一个密集的雨量计网络获得的雨量测量数据和从一个气象雷达装置获得的数据。我们的结论是,将雷达数据与雨量计数据合并可提高降雨空间变化的分辨率,从而大大改进农业用水管理和水文建模的数据来源。然而,人们普遍低估了气象雷达与雨量计数据合并后作为管理工具的作用。
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来源期刊
Journal of Southern Hemisphere Earth Systems Science
Journal of Southern Hemisphere Earth Systems Science Earth and Planetary Sciences-Oceanography
CiteScore
8.10
自引率
8.30%
发文量
0
审稿时长
>12 weeks
期刊介绍: The Journal of Southern Hemisphere Earth Systems Science (JSHESS) publishes broad areas of research with a distinct emphasis on the Southern Hemisphere. The scope of the Journal encompasses the study of the mean state, variability and change of the atmosphere, oceans, and land surface, including the cryosphere, from hemispheric to regional scales. general circulation of the atmosphere and oceans, climate change and variability , climate impacts, climate modelling , past change in the climate system including palaeoclimate variability, atmospheric dynamics, synoptic meteorology, mesoscale meteorology and severe weather, tropical meteorology, observation systems, remote sensing of atmospheric, oceanic and land surface processes, weather, climate and ocean prediction, atmospheric and oceanic composition and chemistry, physical oceanography, air‐sea interactions, coastal zone processes, hydrology, cryosphere‐atmosphere interactions, land surface‐atmosphere interactions, space weather, including impacts and mitigation on technology, ionospheric, magnetospheric, auroral and space physics, data assimilation applied to the above subject areas . Authors are encouraged to contact the Editor for specific advice on whether the subject matter of a proposed submission is appropriate for the Journal of Southern Hemisphere Earth Systems Science.
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