[1] Despite its wide applications as a tool for feature extraction, the Self-Organizing Map (SOM) remains a black box to most meteorologists and oceanographers. This paper evaluates the feature extraction performance of the SOM by using artificial data representative of known patterns. The SOM is shown to extract the patterns of a linear progressive sine wave. Sensitivity studies are performed ...

This article charts the rise and fall of medical meteorology in nineteenth-century Denmark, describing how interest in the subject developed, the optimism that sprang from the possibility of having access to accurate meteorological measurements, and the decline in interest as the data failed to support the medical meteorologists’ claims. Within this framework, I also attempt to place the Danish...

Ru, Yi. M.S., Purdue University, December, 2007. Volumetric Visualization of NEXRAD Level II Doppler Weather Data from Multiple Sites. Major Professor: Gary R. Bertoline. Weather visualization is critical for operational forecasters and weather researchers to analyze, monitor, and predict severe weather events such as storms, tornadoes, and hurricanes. Usually measured weather datasets such as ...

The weather report says that the chance of a hurricane arriving later today is 90%. Forewarned is forearmed: expecting a hurricane, before leaving home you pack your hurricane lantern. Probability enters into this scenario twice, first in the form of a physical probability, sometimes called a chance, quantifying certain aspects of the local weather that make a hurricane very likely, and second ...

Data assimilation concerns the recovery of a hidden process through partial sequential observations. Classical methods like the Kalman filter can be derived by the Bayes formula. But they are numerically unfeasible when the underlying dimension reaches several million, which is the usual case for weather forecast. The ensemble Kalman filter (EnKF) has been proposed by meteorologists using the i...

A new unsupervised algorithm, called CLimate and rEmote sensing Association patterns Miner, for mining association patterns on heterogeneous time series from climate and remote sensing data, integrated in a remote sensing information system is developed to improve the monitoring of sugar cane fields. The system, called RemoteAgri, consists of a large database of climate data and low-resolution ...

The fate of migrating insects that encounter rainfall in flight is a critical consideration when modelling insect movement, but few field observations this common phenomenon have ever been collected due to the logistical challenges witnessing these encounters. Operational cloud radars deployed around world by meteorological agencies study precipitation physics, and as byproduct, provide rich da...

Abstract North Indian Ocean (NIO), which comprises of Bay Bengal (BoB) and Arabian Sea (AS) basins, is one the highly potential regions for Tropical Cyclones (TCs) in world. Significant improvements have been achieved prediction movement TCs, since last decade. However, sudden intensity changes becomes a challenging task research operational meteorologists. Hence, present study focuses on findi...

This study analyzes the behavior of storm-scale circulations preceding initial tornadogenesis in 179 Kansas and Nebraska storms. Manually determined assessments radar data for tornadoes are performed as far back time prior to tornado a circulation is apparent, with average rotational velocity (Vrot), diameter, clarity documented 0.5° elevation scan. These simultaneously combined an indication e...

Abstract Both hurricanes and nor’easters can be destructive deadly. The current study investigates whether, when all other features of a storm warning message are held constant, people perceive the risks posed by differently whether these differences affect their attitudes decisions about taking protective action. We conducted an online experiment involving 1,700 Americans residing in northeast...