Sub-season-season refined prediction method and system for globally focusing Yellow River basin

The embodiment of the invention provides a sub-season-season refined prediction method and system focusing on the Yellow River basin globally, and the method comprises the steps: processing original CRA40 data, GFS data and OSTIA data into a data format which can be used for mode input, driving an F...

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Hauptverfasser: ZHU TAO, LIU ANLING, LIU YIMIN, ZHOU SIYUAN, TANG YAO, JIANG FANGHAI, WU GUOXIONG, CHEN DANDAN, BAO QING, QU ANKANG, XIAO FAN, LUO ZHAOMING, LIU YANGKE, HE BIAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The embodiment of the invention provides a sub-season-season refined prediction method and system focusing on the Yellow River basin globally, and the method comprises the steps: processing original CRA40 data, GFS data and OSTIA data into a data format which can be used for mode input, driving an FGOALS-f2 mode to operate, employing the FGOALS-f2 mode to carry out the numerical simulation through employing a power set prediction technology, and obtaining a prediction result. Obtaining a numerical simulation result; inputting the numerical simulation result into an FGOALS-UFS mode, performing regional zoom encryption prediction by using the FGOALS-UFS mode to generate prediction data, and converting the prediction data output by the FGOALS-UFS mode into longitude and latitude grid prediction data convenient for subsequent analysis; and taking a NetCDF data format as a standard, generating common data required by business prediction by using the longitude and latitude grid prediction data, interpolating to a r