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A spatial downscaling method for remotely sensed daily precipitation data

A precipitation and downscaling technology, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of inability to downscale and low precision of daily precipitation in remote sensing, so as to improve monitoring ability and spatial resolution and precision, broad application prospects

Active Publication Date: 2019-02-12
HENAN UNIVERSITY
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Problems solved by technology

The reasons are as follows: 1) The significant relationship between precipitation and environmental factors hardly exists on the daily scale, so it is impossible to directly use this relationship for spatial downscaling of remote sensing daily precipitation; 2) Daily precipitation is spatially discontinuous; 3 ) Different from remote sensing monthly precipitation products, remote sensing daily precipitation is not integrated with precipitation products based on site analysis, so its accuracy is relatively low; 4) Precipitation data has multi-time scale characteristics, which requires accurate daily While downscaling the results, it should also ensure that the monthly accumulation and annual accumulation also have a significant improvement in accuracy
In conclusion, the existing spatial downscaling methods cannot spatially downscale remote sensing daily precipitation, and significantly improve its accuracy and enhance its ability to monitor precipitation and non-precipitation areas

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  • A spatial downscaling method for remotely sensed daily precipitation data
  • A spatial downscaling method for remotely sensed daily precipitation data
  • A spatial downscaling method for remotely sensed daily precipitation data

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Embodiment Construction

[0040] The specific implementation manner of the present invention is described in detail below in conjunction with accompanying drawing and embodiment

[0041]The selected remote sensing precipitation data is the IMERG daily precipitation data in 2015, with a spatial resolution of 0.1°; the DEM data comes from SRTM, with a spatial resolution of 90 meters; the NDVI data comes from PROBA-V S10TOC NDVI (10-day synthesis), with 1km spatial resolution. The study area is part of central and western China, with latitude and longitude ranging from 25°N to 38°N and 105°E to 118.5°E; the daily precipitation observation data obtained by meteorological stations comes from the National Meteorological Administration, and there are 289 80% of the daily station observations are used for model building, and the remaining 20% ​​are used for final accuracy verification.

[0042] The specific embodiment of the inventive method comprises the following steps:

[0043] Step I. Data Preprocessing ...

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Abstract

A spatial downscaling method for remotely sensed daily precipitation data comprises the following steps of firstly using a temporal-spatial downscaling scheme to indirectly realize downscaling of theremotely sensed daily precipitation data, and obtaining a preliminary downscaling result of the remotely sensed daily precipitation; secondly using an ensemble fusion method to obtain the result of daily precipitation fusion based on the monthly data, which integrates the results of daily precipitation downscaling of all remote sensing stations and daily observation in the month; then accumulatingthe daily precipitation fusion results to generate monthly or annual precipitation fusion results. The method of the invention can overcome the limitation of the prior art, considers the spatial non-stationary relationship between precipitation and auxiliary environmental factors and the temporal variation of daily precipitation, at the same time, the spatial resolution and precision of daily precipitation can be greatly improved by taking full account of the whole error field of the preliminary downscaled results of daily precipitation. In addition, the capability of detecting precipitationand non-precipitation areas can be significantly improved.

Description

technical field [0001] The invention relates to a method for processing remote sensing precipitation data, in particular to a spatial downscaling method for remote sensing daily precipitation data. Background technique [0002] Although meteorological stations provide accurate precipitation observations, the high temporal and spatial variability of precipitation, low station density, and severe uneven distribution severely limit the accuracy of spatial interpolation results. The development of remote sensing technology has brought unprecedented opportunities for precipitation observation. In recent decades, with the launch of satellites specially designed for precipitation monitoring, a series of remote sensing precipitation products have been obtained. Through the continuous improvement of remote sensing precipitation retrieval algorithms, these data are now able to provide global-scale, high-time-resolution precipitation products, such as: TRMM and PERSIANN, etc. However, ...

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Application Information

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IPC IPC(8): G06K9/62
CPCG06F18/25
Inventor 陈锋锐刘宇潘少奇秦奋冯兆东
Owner HENAN UNIVERSITY
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