Real time quality control for hydrometeorological data Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/3n204216m

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  • This thesis investigates the feasibility of implementing a real time quality control program into a data stream of hydrometeorlogical data. The vast array of data used in the forecasting of river levels and avalanches calls for a point of entry quality control method that is both efficient from a communications standpoint and practical given the computer resources available. The first step in this process is to find a normalization scheme to enable the direct comparison of precipitation events between different stations. The normalization scheme derived uses the climatic database of historical records. The largest set of historical records available is in the daily time frame. However, the quick response needed in this type of forecasting calls for the testing of data in a hourly format. This calls for the need to develop some sort of transformation between events of differing time scales. Once the normalization scheme is in place four tests are used to analyze the data. These tests compare the incoming data to what is expected given the climate, forecasted value, previous weather, and what is occurring at neighboring stations. The results from these four tests are composited to make a final opinion of the validity of the incoming data. The data are then assigned two descriptive parameters. These parameters quantify the sophistication of the tests performed on the data, and the believed accuracy of the data. The two scores are then taken into account to give a final broad description of the program's "opinion" as to whether the data should be rejected, questioned, screened, or verified. Generally the program performs very well. The accuracy and precision of the tests are left somewhat vague at this point. The stress in the development of this test was in the modularity and portability of the program; the testing scheme is not meant to be limited to the purpose of flood forecasting or even precipitation data. The threshold parameters, therefore, need to be set by the end user. These thresholds will be defined by the type of data as well as the purpose and accuracy of the data checking needed.
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