Abstract: This disclosure relates to the fields of applied meteorology, in particular to a visualization analysis method of the tropical cyclone forecast verification index data, which comprises the following steps: acquiring tropical cyclone data; obtaining a track forecast verification index and an intensity forecast verification index of the tropical cyclone with the tropical cyclone data; obtaining a visible view of the tropical cyclone track forecast error and a visible view of the tropical cyclone intensity forecast error according to the track forecast verification index and the intensity forecast verification index, and in combination with the geographic information of the tropical cyclone; obtaining a first error and a second error according to the track forecast verification index, and obtaining a joint distribution map of the first error and the second error by using the first error and the second error; obtaining a composite box-shaped histogram through the intensity forecast verification index.
Type:
Grant
Filed:
February 23, 2023
Date of Patent:
January 9, 2024
Assignees:
Shanghai Typhoon Institute of the China Meteorological Administration, Asia-Pacific Typhoon Collaborative Research Center
Abstract: This disclosure relates to the fields of applied meteorology, in particular to a visualization analysis method of the tropical cyclone forecast verification index data, which comprises the following steps: acquiring tropical cyclone data; obtaining a track forecast verification index and an intensity forecast verification index of the tropical cyclone with the tropical cyclone data; obtaining a visible view of the tropical cyclone track forecast error and a visible view of the tropical cyclone intensity forecast error according to the track forecast verification index and the intensity forecast verification index, and in combination with the geographic information of the tropical cyclone; obtaining a first error and a second error according to the track forecast verification index, and obtaining a joint distribution map of the first error and the second error by using the first error and the second error; obtaining a composite box-shaped histogram through the intensity forecast verification index.
Type:
Application
Filed:
February 23, 2023
Publication date:
September 7, 2023
Applicants:
Shanghai Typhoon Institute of the China Meteorological Administration, Asia-Pacific Typhoon Collaborative Research Center