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Spatiotemporal Scales of Remote Sensing Precipitation
This chapter overviews the precipitation measurement methods and quantifies its uncertainty as a function of spatiotemporal scales and precipitation intensity, with a case study on its scale‐based uncertainty impact on and error propagation into hydrological prediction. Liquid precipitation is traditionally measured by rain gauges, which is a point‐based measurement but usually considered as “ground truth.” With the recent advances in remote sensing techniques, remotely sensed precipitation can provide extended rainfall information at relatively high temporal and spatial resolution. The proposed uncertainty analysis framework in the case study not only provides a general framework of scale‐based satellite precipitation estimation error quantification procedure but also can assess its influence on the uncertainty of hydrological prediction through Monte Carlo simulation of the error propagation.
Spatiotemporal Scales of Remote Sensing Precipitation
This chapter overviews the precipitation measurement methods and quantifies its uncertainty as a function of spatiotemporal scales and precipitation intensity, with a case study on its scale‐based uncertainty impact on and error propagation into hydrological prediction. Liquid precipitation is traditionally measured by rain gauges, which is a point‐based measurement but usually considered as “ground truth.” With the recent advances in remote sensing techniques, remotely sensed precipitation can provide extended rainfall information at relatively high temporal and spatial resolution. The proposed uncertainty analysis framework in the case study not only provides a general framework of scale‐based satellite precipitation estimation error quantification procedure but also can assess its influence on the uncertainty of hydrological prediction through Monte Carlo simulation of the error propagation.
Spatiotemporal Scales of Remote Sensing Precipitation
Weng, Qihao (editor) / Hong, Yang (author) / Zhang, Yu (author)
Scale Issues in Remote Sensing ; 253-264
2014-02-14
12 pages
Article/Chapter (Book)
Electronic Resource
English
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