This paper reports the results of some experiments conducted to measure the Internet congestion, viewed from a local perspective. A user-friendly graphical tool was developed to reflect the “local internet weather”. For a typical user this information is more relevant than the global characteristics, however, the existing tools to measure Internet traffic are not designed with the individual no...

Large-scale fire danger assessment has become increasingly relevant in the past few years, and is usually based on weather information. Still, fuel characteristics also play an important role in fire behavior. This study presents a fire behavior simulation based on a global fuelbed dataset and climatic and topographic information. The simulation was executed using the Fuel Characteristic Classi...

Hourly global solar radiation in a weather file is one of the significant parameters for improving building energy performance analyses using simulation programs. However, most weather stations worldwide are not equipped with solar radiation sensors because they tend to be difficult to manage. In South Korea, only twenty-two out of ninety-two weather stations are equipped with sensors, and ther...

Knowledge of forest fuels and their potential fire behavior across a landscape is essential in fire management. Four customized fire behavior fuel models that differed significantly in fuels characteristics and environmental conditions were identified using hierarchical cluster analysis based on fuels data collected across a boreal forest landscape in northeastern China. Fuel model I represente...

This study utilizes a rich UK data set of smart demand metering data, household characteristics, and weather to develop forecasting methodology that combines the high accuracy machine learning models with interpretability statistical methods. For this reason, random forest model is used predict daily demands 1 day ahead for groups properties (mean 3.8 households/group) homogenous characteristic...

This paper describes techniques used operationally by the National Weather Service (NWS) to prepare gridded multisensor (gauge, radar, and satellite) quantitative precipitation estimates (QPEs) for input into hydrologic forecast models and decisionmaking systems for river forecasting, flood and flash flood warning, and other hydrologic monitoring purposes. Advanced hydrologic prediction techniq...

Atmospheric flows are characterized by chaotic dynamics and recurring large-scale patterns. These two characteristics point to the existence of an atmospheric attractor defined by Lorenz as: "the collection of all states that the system can assume or approach again and again, as opposed to those that it will ultimately avoid". The average dimension D of the attractor corresponds to the number o...

OBJECTIVES Bicycling and helmet surveillance, research, and programme evaluation depend on accurate measurement by direct observation, but it is unclear whether weather and other exogenous factors introduce bias into observed counts of cyclists and helmet use. METHODS To address this issue, a time series was created of cyclists observed at two observation points in Washington, DC, at peak com...

This paper introduces a weather-based method for short-term forecasting of aggregate electricity load. We extract the weatherand illumination-dependent load via least-squares fitting for load versus Steadman apparent temperature and logscale natural illumination. A separate fit is done for each hour of the day, and then Fourier-transform-based spectral analysis handles the resulting residual. T...