Diagnostic Analysis And Application Of Heat Waves

Due to global warming intensifies in the recent decades, resulting infrequent occurrence the extreme hot weather in the worldwide and more and moreheat waves events. It’s directly affected the human health, as well as affectthe all aspects of people’s live. To economic losses of the social broughtabout by the impact is huge. And then it also has aroused widespread concernin the world’s governments and scientists. In the face of the occurrence ofheat wave events, human have not yet very effective means of science andtechnology to completely prevent or eliminate, but we can certainly take themeasures of appropriate and effective preventive mechanism, make the negativeimpact of heat waves to minimize. With the rapid development of computertechnology, meteorological data more and more abundant, rational andefficient use the existing technology and a large meteorological data to carryout the heat wave diagnostic analysis is a key part in the heat wave warningforecast.In this paper, based on the heat wave data, diagnostic analysis ofalgorithms and related climate impact factor of these three aspects,comprehensive, scientific diagnostic analysis of the heat wave event, andprovide give meteorological clerk more intuitive weather information anddiagnostic tools.The achievements of this paper are:(1) Analysis the sources data of the heat waves, carry on specificationanalysis to the data, and the corresponding data pre-processing. Those databe collected from meteorological satellites, automatic weather stations andradar.because of the source of data is very broad,and data collection processis often the phenomenon of missing data (such as temperature data is not collected in sometime)。Therefore, the paper carry on specification analysisto the data according to the needs of the business of heat waves, and usingthe Spline function and average pretreatment the data for the missing data、business needs.(2) This paper research and implemented a variety of business-relatedanalysis and inference algorithms, such as mutation analysis, EOF, CCA, SVDand so on. The meteorological clerk can more comprehensive, scientificdiagnosis analysis heat wave the relationship with other influencing factor.(3) Details introduce and calculate the relevant physical quantities ofthe climate impact factor (Continental high pressure, blocking high-pressure,subtropical high, SST, monsoon, etc.), Calculation of their relevant physicalquantities, as well as using the NCL language to map out the physical law ofproduct plot, making the meteorological clerk can be more convenient to graspthe relationship of the heat wave and its influencing factors.