Decision Tree for the Weather Forecasting

Decision Tree for the Weather Forecasting

Predicting the classification of data in a suitable class is a challenging task. It depends on various factors to predict the dependent variables. Since decision tree evaluation can be quantified and it is simple to use, so a model using decision tree has been proposed by the author to predict the event like fog, rain and thunder by inputting average temperature, humidity and pressure. Which ca...

FORECASTER’S FORUM Weather Forecasting by Humans—Heuristics and Decision Making

The decision-making literature contains considerable information about how humans approach tasks involving uncertainty using heuristics. Although there is some reason to believe that weather forecasters are not identical in all respects to the typical subjects used in judgment and decision-making studies, there also is evidence that weather forecasters are not so different that the existing und...

Long-range Weather Forecasting

Forecasting Space Weather

Forecasting space weather events presents the ultimate challenge to a space physics model. Not only should physical constraints be satisfied, but also practical issues such as timeliness, accuracy, and reliability must be adequately addressed. To address these needs, modern space weather forecasters and users rely on a great variety of space weather models, ranging from simple regressions and e...

Weather and Forecasting

This is a preliminary PDF of the author-produced manuscript that has been peer-reviewed and accepted for publication. Since it is being posted so soon after acceptance, it has not yet been copyedited, formatted, or processed by AMS Publications. This preliminary version of the manuscript may be downloaded, distributed, and cited, but please be aware that there will be visual differences and pos...