An improved wind quality control for the China-France Oceanography Satellite (CFOSAT) scatterometer

Quality control(QC)is an essential procedure in scatterometer wind retrieval,which is used to distinguish good-quality data from poor-quality wind vector cells(WVCs)for the sake of wind applications.The current wind processor of the China-France Oceanography Satellite(CFOSAT)scatterometer(CSCAT)adopts a maximum likelihood estimator(MLE)-based QC method to filter WVCs affected by geophysical noise,such as rainfall and wind variability.As the first Ku-band rotating fan-beam scatterometer,CSCAT can acquire up to 16 observations over a single WVC,giving abundant information with diverse incidence/azimuth angles,as such its MLE statistical characteristics may be different from the previous scatterometers.In this study,several QC indicators,including MLE,its spatially averaged value(MLE_(m)),and the singularity exponents(SE),are analyzed using the collocated Global Precipitation Mission rainfall data as well as buoy data,to compare their sensitivity to rainfall and wind quality.The results show that wind error characteristics of CSCAT under different QC methods are similar to those of other Ku-band scatterometers,i.e.,SE is more suitable than other parameters for the wind QC at outer-swath and nadir regions,while MLE_(m) is the best QC indicator for the sweet region WVCs.Specifically,SE is much more favorable than others at high wind speeds.By combining different indicators,an improved QC method is developed for CSCAT.The validation with the collocated buoy data shows that it accepts more WVCs,and in turn,improves the quality control of CSCAT wind data.

An Accuracy Improvement for the Clinical Test Result by United ISO-GUM and QE

This research developed the technology which united ISO-GUM （International Organization of Standard-Guide to Express of Uncertainty in Measurement） and QE （Quality Engineer） strategically and employed both feature efficiently. Although to tow technology of purpose use is same, each has future. The purpose is scheduled to improve the accuracy as a result of the clinical examinations. The result of research was used for diagnosis by equivalent Quality Control （eqQC） of the same level when and where, that are needed for broader-based medical system of the time of IT-era. Since National Institute of Standard and Technology （NIST） is recommend use of complicated operation by ISO-GUM for uniting, realization required the newest high quality computer technology. The algorithm of the complexity system of operation is that Fast Fourier Transform （FFT）, Inverse Fast Fourier Transform （IFFT） and Multi-variance Analysis （MA） are needed in Fig. 4. The main new improving points are changed of ambiguous expression method of data, and the pursuit which the cause of worsens accuracy put into data. All data with an assurance reported the final result for patient or donor. Medical laboratory quality system service is offered essential in the laboratory to be correct result for health care by Good Laboratory Practices （GLP） useful ISO 15189. Quality Assurance （QA） is achieved though system reliability.