WEATHER CONTROL

Automated Weather Sensor Quality Control

In this paper, we investigate the application of data mining to existing techniques for quality control/anomaly detection on weather sensor observations. Specifically we adapt the popular Barnes Spatial interpolation method to use time series distance rather than spatial distance to develop an online algorithm that uses readings from similar stations based on current and historical observations...

How is the weather? Forecasting inpatient glycemic control

Aim Apply methods of damped trend analysis to forecast inpatient glycemic control. Method Observed and calculated point-of-care blood glucose data trends were determined over 62 weeks. Mean absolute percent error was used to calculate differences between observed and forecasted values. Comparisons were drawn between model results and linear regression forecasting. Results The forecasted mea...

Toward a Better Quality Control of Weather Data

Methods for Optimizing Urban Wet-Weather Control System

To minimize impacts of urban nonpoint source pollution and associated costs of control (storage and treatment) associated with wet-weather flows (WWFs), stormwater runoff volumes and pollutant loads must be reduced. A number of control strategies, so-called “best management practices” (BMPs) are being used to mitigate runoff volumes and associated nonpoint source (diffuse) pollution due to WWFs...

Weather Conditions, Weather Information and Car Crashes

Road traffic safety is the result of a complex interaction of factors, and causes behind road vehicle crashes require different measures to reduce their impacts. This study assesses how strongly the variation in daily winter crash rates associates with weather conditions in Finland. This is done by illustrating trends and spatiotemporal variation in the crash rates, by showing how a GIS applica...