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Downscaling method for APHRODITE rainfall data

A downscaling, SM2RAIN-ASCAT technology, applied in the direction of rainfall/precipitation gauges, measuring devices, instruments, etc., can solve the problems of low spatial resolution and cannot meet the needs of regional small-scale applications, and achieve high accuracy and quality results

Active Publication Date: 2021-01-29
ZHEJIANG UNIV
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  • Application Information

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Problems solved by technology

APHRODITE is high-quality long-term precipitation data suitable for the Asian region. It is interpolated from dense ground stations. The data has high accuracy and reliability. However, its spatial resolution is relatively low and cannot meet the needs of regional small-scale applications.

Method used

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  • Downscaling method for APHRODITE rainfall data
  • Downscaling method for APHRODITE rainfall data
  • Downscaling method for APHRODITE rainfall data

Examples

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Embodiment

[0055] Select Zhejiang Province (118°01'-123°08'E, 27°01'-31°10'N) as the research area, use the 2015 GPM-IMERG and SM2RAIN-ASCAT precipitation datasets and include SRTM DEM, Slope , Aspect, Lon and Lat auxiliary data sets, downscale the APHRODITE daily precipitation data set in the same period, and finally obtain the APHRODITE precipitation data with a temporal resolution of 1 day and a spatial resolution of 0.1°×0.1°. The downscaling method is as follows:

[0056] Step 1) Data acquisition: Obtain the GPM-IMERG dataset, SM2RAIN-ASCAT dataset and APHRODITE daily precipitation dataset in the study area. Obtain an auxiliary data set of environmental factors in the same research area. The spatial resolution of the auxiliary data set is higher than that of the APHRODITE daily precipitation data set. The auxiliary data set includes SRTM DEM digital elevation model, slope Slope, slope aspect, longitude Lon and latitude Lat. Longitude Lon and latitude Lat are obtained by calculatin...

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Abstract

The invention discloses a downscaling method for APHRODITE rainfall data. The method comprises the steps of acquiring a GPM-IMERG data set, an SM2RAIN-ASCAT data set and an APHRODITE day-by-day rainfall data set which are used for describing the same object, obtaining an environmental factor auxiliary data set which is the same as the three data set description objects, respectively matching the four data sets based on different observation dimensions, and carrying out total amount control processing on the APHRODITE data set, based on the spatial dimension, establishing a regression model bytaking the low-resolution GPM-IMERG data set, the SM2RAIN-ASCAT data set and the auxiliary data set obtained in the step S22 as independent variables and taking the APHRODITE data set obtained in thestep S24 as a dependent variable, and S3, based on the spatial dimension, taking the high-resolution GPM-IMERG data set obtained in the step S21, the high-resolution SM2RAIN-ASACAT data set obtained in the step S23 and the high-resolution auxiliary data set obtained in the step S22 as input variables, and inputting the input variables into a regression model to obtain a high-resolution APHRODITE day-by-day precipitation data set. The rainfall data obtained through the method is high in result precision and quality and has certain theoretical and practical significance and application and popularization value.

Description

technical field [0001] The invention relates to a downscaling algorithm for meteorological satellite observation precipitation data and ground variable inversion precipitation data, in particular to a downscaling method for APHRODITE precipitation data. Background technique [0002] Precipitation is an important part of the global material and energy cycle, and plays an important role in surface models and weather prediction models. It affects regional weather changes and global climate formation, and is the driving force behind hydrological processes such as floods and storms. High-precision precipitation data play an important role in the fields of climate, meteorology, hydrology, and agriculture. Ground monitoring stations are the most direct means and source of precipitation information, which can accurately represent the precipitation in the surrounding area of ​​the station, but cannot accurately describe the distribution of precipitation in a large area. In addition, ...

Claims

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Application Information

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IPC IPC(8): G01W1/10G01W1/14G06K9/62
CPCG01W1/10G01W1/14G06F18/214
Inventor 闵肖肖许金涛史舟李丹璐
Owner ZHEJIANG UNIV
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