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Analysis of operational airline data to show the effects of airborne weather radar on the gust loads and operating practices of twin-engine short-haul transport airplanes

Description: From Introduction: "The data for operations both with and without radar installed have been analyzed and the results are presented in this paper. Although these results are of limited extent, they provide a basis for early examination of any trends in the gust loads and associated operating practices which might be attributed to the use of radar."
Date: November 1957
Creator: Copp, Martin R. & Walker, Walter G.
Partner: UNT Libraries Government Documents Department

DHS Climate Action Plan

Description: This plan looks at the rising sea temperatures shifting precipitation patterns, and extreme weather events.
Date: September 2013
Creator: United States. Department of Homeland Security.
Partner: UNT Libraries Government Documents Department

National Oceanic and Atmospheric Administration Budget Estimates: Fiscal Year 2016

Description: A paper discussing the budget for NOAA during the year of 2016. Objectives discussed for this year include providing information services to make resilient communities, evolving the National Weather Service, investing in observational infrastructure, and achieving organizational excellence.
Date: unknown
Creator: United States. National Oceanic and Atmospheric Administration.
Partner: UNT Libraries Government Documents Department

[Trees in the Snow]

Description: Photograph of a group of trees in the snow. The dark trunks stand in sharp contrast to the white snow and gray sky, and more trees can be seen in the distant background.
Date: 19uu
Creator: Clark, Joe
Partner: UNT Libraries Special Collections

On the maintenance and initiation of the intraseasonal oscillation in the NCEP/NCAR and ECMWF reanalyses and in the GLA and UKMO AMIP simulations

Description: Julian Intraseasonal (Madden-Julian) oscillations are a dominant model of tropical variability (Madden and 1971, 1972). Satellite derived outgoing longwave radiation (OLR) and reanalyses from NCEP/NCAR and ECMWF are used as verification data in a study of intraseasonal variability in the Goddard Laboratory for Atmospheres (GLA) and the United Kingdom Meteorological Office (UKMO) atmospheric general circulation models. Sling0 et al. (1996) indicated that no model was able to capture the dominance of the intraseasonal oscillation (IO) found in the ECMWF/JDP analyses. However, in the case of the GLA and UKMO AMIP integrations, when a clear eastward propagating signal is evident, the period of the oscillation is realistic.Therefore, in order to show the models in their best light, we examine the November-May period during which these models exhibited their strongest&most coherent IO`s. 1987/88 from observations and the reanalyses will be compared with 1986/87 from GLA and 1980/81 from UKMO. Case studies are important since specific processes/mechanisms may be evident which might otherwise be obscured by cornpositing over many years (e.g., Matthews et al. 1996). During the active phase of the IO, convection migrates from the Indian Ocean to the western/central Pacific Ocean, and into the SPCZ. To demonstrate this, we have calculated an IO index to be used for lagged correlation analysis. This pentad averaged time series is constructed from 20-100 day bandpass filtered 200hPa velocity potential over the region 1OO{degrees}- 140{degrees}E, lO{degrees}N- 10{degrees} S from the NCEP/NCAR reanalysis (not shown; the IO index from the ECMWF reanalysis is virtually identical with the NCEP/NCAR IO index [correlation coefficient=0.987]). This region was chosen since this is where the diabatic heating associated with the IO is greatest. This IO index is then correlated with pentad averaged OLR at various time lags. Convection first arises over the western Indian Ocean on day -15. Through day ...
Date: January 1, 1998
Creator: Sperber, K.R.; Slingo, J.M.; Innes, P.M. & Lau, W.K.M.
Partner: UNT Libraries Government Documents Department

Simulation and Performance Analysis of Strategic Air Traffic Management under Weather Uncertainty

Description: In this thesis, I introduce a promising framework for representing an air traffic flow (stream) and flow-management action operating under weather uncertainty. I propose to use a meshed queuing and Markov-chain model---specifically, a queuing model whose service-rates are modulated by an underlying Markov chain describing weather-impact evolution---to capture traffic management in an uncertain environment. Two techniques for characterizing flow-management performance using the model are developed, namely 1) a master-Markov-chain representation technique that yields accurate results but at relatively high computational cost, and 2) a jump-linear system-based approximation that has promising scalability. The model formulation and two analysis techniques are illustrated with numerous examples. Based on this initial study, I believe that the interfaced weather-impact and traffic-flow model analyzed here holds promise to inform strategic flow contingency management in NextGen.
Date: May 2011
Creator: Zhou, Yi
Partner: UNT Libraries

[Jack Daniel's Old Office in Winter]

Description: Narrative by Junebug Clark: Looking through the front porch of Jack Daniel's Old office toward the Jack Daniel statue and the cave spring. Very rare snowfall in Lynchburg, Tennessee. Even rarer to be able to get there and photograph while snow is still on the ground. Photo by: Joe Clark, HBSS. Clark PhotoFile: 9570-0046-7
Date: 1979
Creator: Clark, Joe
Partner: UNT Libraries Special Collections

Construction of weather maps, charts and diagrams

Description: "This supplement outlines in detail the methods for plotting of observation data, for entry of analysis, and for preparation of supplementary maps, charts, and diagrams for all Army Air Forces weather stations."
Date: February 2, 1943
Creator: United States. War Department.
Partner: UNT Libraries Government Documents Department

Multi-Model Combination Techniques for Hydrological Forecasting: Application to Distributed Model Intercomparison Project Results

Description: This paper examines several multi-model combination techniques: the Simple Multimodel Average (SMA), the Multi-Model Super Ensemble (MMSE), Modified Multi-Model Super Ensemble (M3SE) and the Weighted Average Method (WAM). These model combination techniques were evaluated using the results from the Distributed Model Intercomparison Project (DMIP), an international project sponsored by the National Weather Service (NWS) Office of Hydrologic Development (OHD). All of the multi-model combination results were obtained using uncalibrated DMIP model outputs and were compared against the best uncalibrated as well as the best calibrated individual model results. The purpose of this study is to understand how different combination techniques affect the skill levels of the multi-model predictions. This study revealed that the multi-model predictions obtained from uncalibrated single model predictions are generally better than any single member model predictions, even the best calibrated single model predictions. Furthermore, more sophisticated multi-model combination techniques that incorporated bias correction steps work better than simple multi-model average predictions or multi-model predictions without bias correction.
Date: May 8, 2006
Creator: Ajami, N; Duan, Q; Gao, X & Sorooshian, S
Partner: UNT Libraries Government Documents Department

Weather and Climate: What's the Difference

Description: This lesson plan enables students to learn the differences between weather and climate. Students collect local weather data for a defined period of time, and then compare these data with longer-term climate data for their community
Date: unknown
Creator: United States. Environmental Protection Agency.
Partner: UNT Libraries Government Documents Department

Climate Change 2007 Synthesis Report

Description: "This report summarizes the findings of the three Working Group reports and provides a synthesis that specifically addresses the issues of concern to policymakers in the domain of climate change."
Date: 2008
Creator: The Core Writing Team
Partner: UNT Libraries Government Documents Department

.Environmental Guidance Note for Disaster Risk Reduction: Healthy Ecosystems for Human Security and Climate Change Adaptation

Description: This publication was developed to provide guidance on the benefits of and ways to integrate environmental concerns into disaster risk reduction strategies (DRR) at the local and national levels. As recognised and outlined within the Hyogo Framework for Action priority 4, healthy ecosystems and environmental management are considered key actions in DRR. Although the field of disaster risk management has evolved to recognize the need for addressing sustainable development issues for reducing risk, the environmental dimension has not to date received adequate attention and practical guidance.
Date: 2013
Creator: Murti, Radhika; Ash, Neville & Sudmeier-Rieux, Karen
Partner: UNT Libraries

NCA Report Series, Volume 6: Scenarios for Research and Assessment of Our Climate Future: Issues and Methodological Perspectives for U.S. National Climate Assessment

Description: "This document reports on a workshop held in December 2010 in Arlington, Virginia to explore needs, options, and research for the development of scenarios to support science and assessment of climate and global change over the coming decades."
Date: unknown
Partner: UNT Libraries Government Documents Department

An Analysis of Energy Use on Community College Campuses

Description: This paper provides an analysis of energy use on community college campuses which justifies the introduction of a simple model for describing that energy use. The model is then applied to the data from 80 campuses to determine average values for the parameters of the model. The model can be used to measure the energy savings of conservation programs as well as the cost avoidance associated with those savings. Because the model explicitly takes into account variations in weather, it provides an essential tool for evaluating energy conservation programs.
Date: March 1, 1980
Creator: York, C. M.
Partner: UNT Libraries Government Documents Department