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Agrometeorological information system for operational use in southern Africa

机译:南部非洲业务使用的农业气象信息系统

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Rainfall monitoring is of vital importance in many parts of Africa dependent on rain-fed agriculture. Rainfall monitoring algorithms using satellite imagery have been available for more than a decade. A number of countries make good use of these data but it remains disappointing that the methodology is not in more widespread use. A recent collaborative project between Reading University and the Zambian Meteorology Service has attempted to address this problem by focusing on two issues - the accuracy of the estimates and the format of the final product. To improve accuracy, we have developed a geostatistical technique for merging satellite estimates with gauge data which takes account of the relative accuracies of the two data sets. To address the second issue we have developed a versatile software framework allowing the presentation of the rainfall information in a format tailored to the end-user. The final images are emailed as Word documents for easy incorporation into publications. The system has now run successfully for a full rainy season and response from the users has been positive. Crucial to successful implementation has been the involvement of local personnel and dialogue with the user community. Analysis of the first season's results show that the merged rainfall estimates are more accurate than either the satellite or the gauge data used separately.
机译:降雨监测在非洲的许多地区依赖于雨粮农业的重要意义。使用卫星图像的降雨监测算法已有十多年。许多国家充分利用了这些数据,但它仍然令人失望的是,方法没有更广泛使用。最近在阅读大学和赞比亚气象服务之间的协作项目试图通过专注于两个问题来解决这个问题 - 估算的准确性和最终产品的格式。为了提高准确性,我们开发了一种地质统计技术,用于利用仪表数据合并卫星估计,该数据考虑了两个数据集的相对精度。要解决第二个问题,我们开发了一个多功能软件框架,允许以对最终用户身份定制的格式呈现降雨信息。最终的图像通过电子邮件发送为Word文档,以便轻松地注册到出版物中。该系统现在已经成功运行了一个完整的多雨季节,并从用户的回复一直是积极的。对成功实施至关重要的是当地人员和对话与用户社区的参与。分析第一赛季的结果表明,合并的降雨估计比卫星或仪表数据分别使用的规模更准确。

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