Texte remanié de: Thesis Ph. D.--New York--Columbia university, 1999. / Bibliogr. p. 157-167.

The mountainous western Virginia is the source of the headwater streams for the New, the Roanoke, and the James rivers. The region is prone to flash flooding, typically the result of localized precipitation. Fortunately, within the region, there is an efficient system of instruments for real-time data gathering with IFLOWS (Integrated Flood Observing and Warning System) gages, WSR-88D Doppler radar, and high precision GPS (Global Positioning System) receiver. The focus of this research is to combine the measurements from these various sensors in an algorithmic framework to determine the flash flood magnitude. It has been found that the trend in the GPS signals serves as a precursor for rain events with a lead-time of 30 minutes to 2 hours. The methodology proposed herein takes advantage of this lead-time as the trigger to initiate alert related calculations. It is shown here that the sum of the rates of change of total cloud water, water vapor contents and logarithmic profiles of partial pressure of dry air and temperature in an atmospheric column is equal to the rain rate. The total water content is measurable as the profiles of integrated precipitable water (IPW) from the GPS, the vertically integrated liquid (VIL) from the radar (representing different phases of the atmospheric water) and the pressure and temperature profiles are available. An example problem is presented illustrating the involving the calculations. / Master of Science

International Telemetering Conference Proceedings / October 17-20, 1994 / Town & Country Hotel and Conference Center, San Diego, California / This paper discusses the use of DSP technology in the embedded real time ingest and pre-processing of weather satellite data. Specifically, case studies are presented in the use of Texas Instrument TMS 320 processors as front-end handlers of GOES MODE AAA and GOES GVAR data formats.

This study developed a parameterization method to investigate the impacts of inhomogeneous land surfaces on mesoscale model simulations using a high-resolution 1-d PBL model. Then, the 1-d PBL model was used to investigate the inhomogeneity-caused model errors in applying the GOES satellite skin temperature assimilation technique into the MM5 over the Houston metropolitan area (HOU). In order to investigate the surface inhomogeneity impacts on the surface fluxes and PBL variables over HOU, homo- and inhomogeneous 1-d PBL model simulations were performed over HOU and compared to each other. The 1-d PBL model was constructed so that the surface inhomogeneities were able to be represented within model grid elements using a methodology similar to Avissar and Pielke (1989). The surface inhomogeneities over HOU were defined using 30-m resolution land cover data produced by Global Environment Management (GEM), Inc. The inhomogeneity parameterization method developed in the 1-d model was applied to a standard MM5 simulation to test the applicability of the parameterization to 3-d mesoscale model simulations. From the 1-d simulations it was inferred that the surface inhomogeneities would enhance the sensible heat flux by about 36 % and reduce the latent heat flux by about 25 %, thereby inducing the warmer (0.7 %) and drier (-1.0 %) PBL and the colder and moister PBL top induced by greater turbulent diffusivities. The 3-d application of the inhomogeneity parameterization indicated consistent results with the 1-d in general, with additional effects of advection and differential local circulation. The original GOES simulation was warmer compared to observations over HOU than over surrounding areas. The satellite data assimilation itself would lead to a warm bias due to erroneous estimation of gridpoint-mean skin temperature by the satellite, but 1-d simulations indicate that the impact of this error should be much weaker than what was observed. It seems that, unless the already existing warm and dry bias of the MM5 is corrected, the inhomogeneity parameterization in the MM5 would adversely affect the MM5 performance. Therefore, consideration of the surface inhomogeneities in the urban area needs to be confined to the GOES skin temperature retrieval errors at the moment.

This study developed a parameterization method to investigate the impacts of inhomogeneous land surfaces on mesoscale model simulations using a high-resolution 1-d PBL model. Then, the 1-d PBL model was used to investigate the inhomogeneity-caused model errors in applying the GOES satellite skin temperature assimilation technique into the MM5 over the Houston metropolitan area (HOU). In order to investigate the surface inhomogeneity impacts on the surface fluxes and PBL variables over HOU, homo- and inhomogeneous 1-d PBL model simulations were performed over HOU and compared to each other. The 1-d PBL model was constructed so that the surface inhomogeneities were able to be represented within model grid elements using a methodology similar to Avissar and Pielke (1989). The surface inhomogeneities over HOU were defined using 30-m resolution land cover data produced by Global Environment Management (GEM), Inc. The inhomogeneity parameterization method developed in the 1-d model was applied to a standard MM5 simulation to test the applicability of the parameterization to 3-d mesoscale model simulations. From the 1-d simulations it was inferred that the surface inhomogeneities would enhance the sensible heat flux by about 36 % and reduce the latent heat flux by about 25 %, thereby inducing the warmer (0.7 %) and drier (-1.0 %) PBL and the colder and moister PBL top induced by greater turbulent diffusivities. The 3-d application of the inhomogeneity parameterization indicated consistent results with the 1-d in general, with additional effects of advection and differential local circulation. The original GOES simulation was warmer compared to observations over HOU than over surrounding areas. The satellite data assimilation itself would lead to a warm bias due to erroneous estimation of gridpoint-mean skin temperature by the satellite, but 1-d simulations indicate that the impact of this error should be much weaker than what was observed. It seems that, unless the already existing warm and dry bias of the MM5 is corrected, the inhomogeneity parameterization in the MM5 would adversely affect the MM5 performance. Therefore, consideration of the surface inhomogeneities in the urban area needs to be confined to the GOES skin temperature retrieval errors at the moment.

This document sets out to describe the process of creating the artistic and technical endeavor that culminated in the lighting design for Temple University Theater's October 2015 production of Anything Goes. This is an in-depth reflection and analysis of the initial impressions, personal goals, script analysis, lighting concept, and execution that went into the creation of the design from first reading to realized design. / Theater

Zugl.: Frankfurt (Main), Univ., Magisterarbeit, 2001

Thesis (M.S. in Meteorology)--Naval Postgraduate School, March 2010. / Thesis Advisor(s): Durkee, Philip A. Second Reader: Nielsen, Kurt E. "March 2010." Description based on title screen as viewed on April 27, 2010. Author(s) subject terms: Lightning, Thunderstorm, GOES, Geostationary, Satellite, Convection, Convective Initiation, Lightning Initiation, Nowcast, Applied Meteorology. Includes bibliographical references (p. 97-101). Also available in print.

The goal of this thesis is to take an in depth look at the process of creating a scenic design for Temple Theatre’s production of Anything Goes by Cole Porter. This paper will break down the designer’s personal process in developing the design. In addition, it will break down the process of translating the design into a realized set. In particular, a look at how Anything Goes worked in relation to an ideal production situation. / Theater

La connaissance du rayonnement solaire, ou irradiation solaire, à la surface de la Terre est d’un grand intérêt dans de nombreux domaines. Cependant le développement de systèmes utilisant l’énergie solaire nécessitent des données sur le rayonnement solaire denses (spatialement et temporellement) et suffisamment précises pour simuler, concevoir, gérer et optimiser le fonctionnement de ces systèmes. L’objectif principal de cette thèse est de concevoir et développer une méthode d'estimation de l'irradiation solaire applicable à la zone intertropicale. Les travaux de la première partie se concentrent sur la recherche d’une solution méthodologique pour estimer le l’irradiation solaire sur la partie Nord du continent Sud-Américain (Plateau des Guyanes) avec une haute résolution spatiale et temporelle et une précision similaire à celle des aux autres méthodes opérationnelles sous d’autres climats. Dans la deuxième partie, nous proposons d’améliorer les estimations d’irradiation solaire obtenues dans la première partie, notamment celles faites en ciel couvert. Le Plateau des Guyanes étant une zone fortement affectée par la ZIC et avec des passages nuageux très fréquents, il nous est apparu nécessaire de compléter les modifications apportées à la méthode originelle en introduisant une modélisation du ciel couvert. Dans la troisième partie, nous proposons de réaliser des cartographies d’indicateurs en utilisant les estimations d’irradiation obtenues avec la méthode Heliosat-2 modifiée. Enfin, nous concluons sur les avancées obtenues en termes de connaissance sur l’irradiation solaire et sur son exploitabilité sur le Plateau des Guyanes / Knowledge of solar radiation, or solar irradiation, at Earth’s surface is of great interest in many fields. However, the development of systems using solar energy need spatially and temporally dense data on solar radiation, sufficiently accurate to simulate, design, generate and optimize the operation of these systems.The main objective of this thesis is to design and develop a method to assess solar irradiation applicable on intertropical regions. The works of the first part focus on the search of a methodological solution to assess solar irradiation on the northern part of the South American continent (Guiana Shield) with a high temporal and spatial resolution and accuracy on the same level of other operational methods under other climates. In the second part, we propose to improve the solar irradiation assessments obtained in the first part, notably those done in cloudy sky. The Guiana Shield being a zone strongly affected by the ITCZ and with recurrent cloudy periods, it appeared necessary to us to complete the changes brought to the original method by introducing a modeling of the cloudy sky. In the third part, we propose to produce maps of indicators by using the assessments of solar irradiation obtained with the modified Heliosat-2 method. Finally, we conclude on the advances obtained in terms of knowledge on solar irradiation and its exploitability on the Guiana Shield.