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Method and system for acquiring global rainfall information at different places by utilizing rainfall data set

A rainfall data and rainfall technology, applied in data processing applications, instruments, forecasting, etc., can solve the problems of uneven distribution, lack of data, and less rainfall research, and achieve the effect of fast calculation speed and improved accuracy

Active Publication Date: 2020-08-25
NAT SPACE SCI CENT CAS
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these data sets are all based on universal time, which is not suitable for direct research on rainfall and other climates in various regions, and some data sets have low spatial resolution, which cannot meet the needs of small-area rainfall studies. The stations included in the rain gauge data set The data is scattered and unevenly distributed, and there is even a lack of data in some areas with complex terrain
At present, the international research on precipitation focuses on the diurnal, seasonal and interannual variation of precipitation in a specific area, but there are few studies on the diurnal variation of rainfall on a global scale with local time as the reference time, and the use of reanalysis data to analyze Less research has been done on rainfall

Method used

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  • Method and system for acquiring global rainfall information at different places by utilizing rainfall data set
  • Method and system for acquiring global rainfall information at different places by utilizing rainfall data set
  • Method and system for acquiring global rainfall information at different places by utilizing rainfall data set

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Embodiment 1

[0047] Such as figure 1 As shown, embodiment 1 of the present invention provides the method that utilizes rainfall dataset to obtain global rainfall information in different places, including:

[0048] Step 101) raw data preparation: mainly collect and summarize existing global rainfall data sets;

[0049]The data mainly uses the ERA5 reanalysis precipitation grid data estimated in hours from 2009 to 2018, with a horizontal resolution of 0.25°×0.25°. The ERA5 reanalysis data is the fifth generation global reanalysis data of ERA5 issued by the European Center for Medium-Range Weather Forecasting (ECMWF), and is continuously developed by the Copernicus Climate Change Service (C3S) in near real time, covering the time period from 1950 to the present (with a three-month lag) data is currently the most advanced reanalysis product in technology. The processing of ERA5 data is carried out by using the Integrated Forecast System (IFS) developed by ECMWF with the cycle label 41r2, us...

Embodiment 2

[0068] Such as image 3 As shown, Embodiment 2 of the present invention provides a method for utilizing rainfall data sets to obtain global rainfall information in different places, including:

[0069] Step 201) Raw data preparation.

[0070] The data collection mainly adopts the TRMM 3B42RT V7 multi-satellite precipitation analysis data from 2009 to 2018 and the hourly precipitation measurement data of meteorological stations within 60°N-S provided by NCEI.

[0071] The TRMM 3B42RT V7 dataset has a horizontal resolution of 0.25°×0.25°, a time resolution of 3 hours, and a delay of 8 hours from real time, covering the 60°N-S region of the world. The file format is NetCDF, and it is downloaded from NASA’s GEC DISC get.

[0072] Step 202) Kriging spatial interpolation.

[0073] Studies have shown that TRMM rainfall products have obvious spatial variability and uncertainty. Although it has good applicability in low latitude and flat areas, its accuracy is low in areas with high...

Embodiment 3

[0084] Embodiment 3 of the present invention provides a system for utilizing rainfall data sets to obtain global rainfall information in different places, including:

[0085] Universal Time Global Rainfall Data Acquisition Module, which is used to collect and aggregate global rainfall data sets to obtain global rainfall data based on Universal Time;

[0086] The spatial interpolation module is used to perform spatial interpolation on global rainfall data based on universal time to obtain gridded global rainfall data based on universal time;

[0087] The time zone conversion module is used to convert global rainfall data based on universal time to global rainfall data based on specified local time;

[0088] The time interpolation module is used to use the global rainfall data of any adjacent three days based on universal time as the original data set, and use adjacent point interpolation to obtain the global rainfall data of one hour intervals on the second day, thus obtaining ...

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Abstract

The invention discloses a method and system for acquiring global rainfall information at different places by using a rainfall data set, and the method comprises the steps: collecting and summarizing the global rainfall data set, and obtaining global rainfall data taking the world time as a reference; converting the global rainfall data taking the world time as the benchmark into global rainfall data taking the designated local time as the benchmark; taking the global rainfall data taking the world time as the benchmark of any three adjacent days as an original data set, and obtaining global rainfall data of one hour interval of the next day by adopting adjacent point interpolation, so as to obtain gridding global rainfall data of one hour interval taking the designated local time as the benchmark; and calculating annual average hourly rainfall of the local time according to the global rainfall data of all days of the local time. According to the method, the nearest neighbor interpolation method is adopted, the method is simple and convenient, the operation speed is high, and the global local rainfall result can be obtained in a short time.

Description

technical field [0001] The invention relates to the field of global rainfall climate research, in particular to a method and a system for obtaining global rainfall information in different places by using rainfall data sets. Background technique [0002] As a basic climate variable, rainfall has an extremely important impact on crop production, ecological environment, and people's daily life. Studying rainfall can not only help us guide agricultural production and forecast crop yield, but also provide a basis for preventing soil erosion and flood disaster assessment, and it is also an important factor for water resource analysis. [0003] It is of great significance to study the local temporal characteristics of rainfall. In the field of climate research, it helps us understand regional rainfall patterns, enhance our understanding of regional climate dynamics and thermal processes, and at the same time improve the testing level of regional climate models and parameterizatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/26
CPCG06Q10/04G06Q50/26Y02A90/10
Inventor 白伟华孙越强杜起飞苏豆豆刘黎军李伟王先毅蔡跃荣曹光伟夏俊明孟祥广柳聪亮赵丹阳尹聪胡鹏王冬伟刘成吴春俊李福乔颢程双双朱光武
Owner NAT SPACE SCI CENT CAS
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