Abstract Warnings about impending hazards help to minimize the impacts and reduce risk of hazard through encouraging an appropriate timely behavioral response. Many hydrometeorological agencies are moving toward impact-based forecast warning (IBFW) systems, as encouraged by World Meteorological Organization. Yet little research has been conducted on such systems from perspectives who or would b...

Abstract NOAA’s Hazardous Weather Testbed (HWT) is a physical space and research framework to foster collaboration evaluate emerging tools, technology, products for NWS operations. The HWT’s Experimental Warning Program (EWP) focuses on research, communication that may improve severe hazardous weather warnings societal response. EWP was established with three fundamental hypotheses: 1) operatio...

The inefficiency of the aviation industry and persistent rise in hazards have been linked to weather phenomena. As a result, researchers are looking for better solutions problem. study examined impact thunderstorms on flight operations at Murtala Mohammed International Airport, Lagos. data were sourced from Nigerian Meteorological Agency (NiMet) Airspace Management (NAMA) respectively. In order...

Abstract Two multispectral satellite imagery products are presented that were developed for use within the fire management community. These products, which take form of false color red–green–blue composites, designed to aid detection and characterization, assessment environment surrounding a fire. The first, named Fire Temperature RGB, uses spectral channels near 1.6, 2.2, 3.9 μ m rapid range i...

Abstract. The generation of index-based series meteorological phenomena, derived from narrative descriptions weather and climate in historical documentary sources, is a common method to reconstruct past climatic variability effectively extend the instrumental record. This study first explicitly examine degree inter-rater producing such series, potential source bias analyses. Two teams raters we...

Climate models are complex mathematical models designed by meteorologists, geophysicists, and climate scientists to simulate and predict climate. Given temperature predictions from the top 20 climate models worldwide, and over 100 years of historical temperature data, we track the changing sequence of which model currently predicts best. We use an algorithm due to Monteleoni and Jaakkola that m...

Probabilistic quantitative precipitation forecasts challenge meteorologists due to the wide variability of precipitation amounts over small areas and their dependence on conditions at multiple spatial and temporal scales. Ensembles of convection-allowing numerical weather prediction models offer a way to produce improved precipitation forecasts and estimates of the forecast uncertainty. Thesemo...

INDEXING AND RETRIEVAL OF SATELLITE IMAGES by Aiyesha L. Ma Adviser: Ishwar K. Sethi, Ph.D. As sensors and hardware advance, vast amounts of data are being collected, yet much of this data is stored and not analyzed for useful information. In the area of weather imagery, part of the reason is because retrieval is based on information not related to the content contained in the image. By allowin...

W ether – Dcem er 213, ol. 8, o. 12 Htory of he am pbe-Stokes sushine reorder and guidance on these extreme events, but the chance of the simulation getting the storms in exactly the right place is low. Thus, careful management of this data is of key importance. models might allow forecasters to have higher confidence in severe or extreme convective events. For example, on 28 June 2012, MeteoGr...

Conventional analysis of atmospheric data includes three-dimensional desktop-computer displays. One disadvantage is that it can reduce the ability to zoom in and see small-scale features while concurrently viewing other faraway features. This research intends to determine if using virtual environments to examine atmospheric data can improve a meteorologist's ability to analyze the given informa...