Digital AMeDAS software is an advanced meteorological data analysis and management system. Through intelligent data collection and efficient data processing, it helps users quickly obtain and analyze meteorological data and achieve visual display of multi-dimensional data. In addition, the software also supports historical data query and review, as well as multi-user data sharing and collaboration.
Software features
Intelligent data collection: Digital AMeDAS can automatically collect real-time meteorological data from multiple meteorological observation sites and update it in real time to ensure the accuracy and reliability of the data.
Efficient data processing: The software has built-in efficient data processing algorithms, which can quickly process large amounts of meteorological data, extract key information, and help users quickly analyze various meteorological indicators.
Multi-dimensional data visualization: Digital AMeDAS provides a variety of data visualization methods, including charts, maps, etc., which can visually display the spatiotemporal distribution characteristics of meteorological data and help users deeply understand the laws of meteorological changes.
Data recurrence and playback: The software supports the recurrence and playback functions of meteorological data. Users can review historical meteorological data at any time as needed to conduct climate change analysis and prediction.
Multi-user collaboration and sharing: Digital AMeDAS supports multi-user collaboration and sharing. Multiple users can access, analyze and edit meteorological data at the same time, improving work efficiency and data utilization.
Software function
Real-time meteorological data acquisition: can automatically obtain real-time meteorological data from multiple observation sites, and provide data source quality assessment functions.
Meteorological data processing and analysis: Provides calculation and analysis functions for a variety of meteorological indicators, including temperature, humidity, precipitation, wind speed, air pressure, etc.
Data visualization: Provides a variety of chart and map display methods to help users intuitively analyze and display the spatial and temporal distribution characteristics of meteorological data.
Historical data query and traceback: It can query and trace historical meteorological data according to time range, geographical location and other conditions, and supports multi-dimensional data filtering and export.
Data sharing and collaboration: Supports the sharing and collaboration of meteorological data among multiple users, provides permission management and data editing functions, and facilitates work in the field of meteorological research and applications.
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