Download or read book Operational Mesoscale Atmospheric Dispersion Prediction Using High Performance Parallel Computing Clusters for Emergency Response written by C. V. Srinivas and published by . This book was released on 2005 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Operational Mesoscale Atmospheric Dispersion Prediction Using High Performance Parallel Computing Cluster for Emergency Response written by C. V. Srinivas and published by . This book was released on 2005 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Operational mesoscale atmospheric dispersion prediction using high performance parallel computer cluster for emergency response written by C. V. Srinivas and published by . This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Developments in Teracomputing written by Walter Zwieflhofer and published by World Scientific. This book was released on 2001 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The geosciences, particularly numerical weather prediction, are demanding the highest levels of available computer power. The European Centre for Medium-Range Weather Forecasts, with its experience in using supercomputers in this field, organises every second year a workshop bringing together manufacturers, computer scientists, researchers and operational users to share their experiences and to learn about the latest developments. This book reports on the November 2000 workshop. It provides an excellent overview of the latest achievements in, and plans for the use of, new parallel techniques in meteorology, climatology and oceanography. Contents: Research and Development of the Earth Simulator (K Yoshida & S Shingu); Parallel Computing at Canadian Meteorological Centre (J-P Toviessi et al.); Parallel Elliptic Solvers for the Implicit Global Variable-Resolution Grid-Point GEM Model: Iterative and Fast Direct Methods (A Qaddouri & J Ct(r)); IFS Developments (D Dent et al.); Performance of Parallelized Forecast and Analysis Models at JMA (Y Oikawa); Building a Scalable Parallel Architecture for Spectal GCMS (T N Venkatesh et al.); Semi-Implicit Spectral Element Methods for Atmospheric General Circulation Models (R D Loft & S J Thomas); Experiments with NCEP's Spectral Model (J-F Estrade et al.); The Implementation of I/O Servers in NCEP's ETA Model on the IBM SP (J Tuccillo); Implementation of a Complete Weather Forecasting Suite on PARAM 10 000 (S C Purohit et al.); Parallel Load Balance System of Regional Multiple Scale Advanced Prediction System (J Zhiyan); Grid Computing for Meteorology (G-R Hoffmann); The Requirements for an Active Archive at the Met Office (M Carter); Intelligent Support for High I/O Requirements of Leading Edge Scientific Codes on High-End Computing Systems OCo The ESTEDI Project (K Kleese & P Baumann); Coupled Marine Ecosystem Modelling on High-Performance Computers (M Ashworth et al.); OpenMP in the Physics Portion of the Met Office Model (R W Ford & P M Burton); Converting the Halo-Update Subroutine in the Met Office Unified Model to Co-Array Fortran (P M Burton et al.); Parallel Ice Dynamics in an Operational Baltic Sea Model (T Wilhelmsson); Parallel Coupling of Regional Atmosphere and Ocean Models (S Frickenhaus et al.); Dynamic Load Balancing for Atmospheric Models (G Karagiorgos et al.); HPC in Switzerland: New Developments in Numerical Weather Prediction (M Ballabio et al.); The Role of Advanced Computing in Future Weather Prediction (A E MacDonald); The Scalable Modeling System: A High-Level Alternative to MPI (M Govett et al.); Development of a Next-Generation Regional Weather Research and Forecast Model (J Michalakes et al.); Parallel Numerical Kernels for Climate Models (V Balaji); Using Accurate Arithmetics to Improve Numerical Reproducibility and Stability in Parallel Applications (Y He & C H Q Ding); Parallelization of a GCM Using a Hybrid Approach on the IBM SP2 (S Cocke & Z Christidis); Developments in High Performance Computing at Fleet Numerical Meteorology and Oceanography Center (K D Pollak & R M Clancy); The Computational Performance of the NCEP Seasonal Forecast Model on Fujitsu VPP5000 at ECMWF (H-M H Juang & M Kanamitsu); Panel Experience on Using High Performance Computing in Meteorology OCo Summary of the Discussion (P Prior). Readership: Researchers, professionals and students in meteorology, climatology and oceanography."
Download or read book Journal of Earth System Science written by and published by . This book was released on 2006 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Realizing Teracomputing written by Walter Zwieflhofer and published by World Scientific. This book was released on 2003 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geosciences and in particular numerical weather prediction are demanding the highest levels of available computer power. The European Centre for Medium-Range Weather Forecasts, with its experience in using supercomputers in this field, organizes every other year a workshop bringing together manufacturers, computer scientists, researchers and operational users to share their experiences and to learn about the latest developments. This book provides an excellent overview of the latest achievements in and plans for the use of new parallel techniques in meteorology, climatology and oceanography.The proceedings have been selected for coverage in: ? Index to Scientific & Technical Proceedings (ISTP CDROM version / ISI Proceedings)
Download or read book Tracking and Predicting the Atmospheric Dispersion of Hazardous Material Releases written by National Research Council and published by National Academies Press. This book was released on 2003-07-18 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: For many years, communities have prepared themselves to deal with accidental atmospheric releases from industrial sites, energy facilities, and vehicles transporting hazardous materials. Today, these communities must also worry about the terrorist threat of the intentional use of chemical, biological, and nuclear (C/B/N) agents. Because of this threat, the ability to predict and track the dispersal of harmful agents has become a critical element of terrorism planning and response. Our nation�s capacity to respond to atmospheric C/B/N events stands, like a three legged stool, on the strength of three interconnected elements: 1) dispersion models that predict the path and spread of the hazardous agent; 2) observations of the hazardous plume itself and of local meteorological conditions, which provide critical input for the models; and 3) interaction with emergency responders who use the information provided by the models. As part of the National Academies continuing focus on issues of homeland security, Tracking and Predicting the Atmospheric Dispersion of Hazardous Material Releases examines our nation�s current capabilities in these three areas and provides recommendations for strengthening them.
Download or read book Modeling of High altitude Atmospheric Dispersion Using Climate and Meteorological Forecast Data written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The overall objective of this study is to provide a demonstration of capability for importing both high altitude meteorological forecast and climatological datasets from NRL into the NARAC modeling system to simulate high altitude atmospheric droplet release and dispersion. The altitude of release for the proposed study is between 60 and 100km altitude. As either standard climatological data (over a period of 40 years) or daily meteorological forecasts can drive the particle dispersion model, we did a limited comparison of simulations with meteorological data and simulations with climatological data. The modeling tools used to address this problem are the National Atmospheric Release Advisory Center (NARAC) modeling system at LLNL which are operationally employed to assist DOE/DHS/DOD emergency response to an atmospheric release of chemical, biological, and radiological contaminants. The interrelation of the various data feeds and codes at NARAC are illustrated in Figure 1. The NARAC scientific models are all verified to both analytic solutions and other codes; the models are validated to field data such as the Prairie Grass study (Barad, 1958). NARAC has multiple real-time meteorological data feeds from the National Weather Service, from the European Center for Medium range Weather Forecasting, from the US Navy, and from the US Air Force. NARAC also keeps a historical archive of meteorological data partially for research purposes. The codes used in this effort were the Atmospheric Data Assimilation and Parameterization Techniques (ADAPT) model (Sugiyama and Chan, 1998) and a development version of the Langrangian Operational Dispersion Integrator (LODI) model (Nasstrom et al., 2000). The use of the NASA GEOS-4 dataset required the use of a development version of the Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) model (Hodur, 1997; Chin and Glascoe, 2004). The specific goals of this study are the following: (1) Confirm data compatibility of NRL meteorological and climatological data for NARAC models. Import both high altitude meteorological forecasts and high altitude climatological data provided by NRL into the NARAC system. (2) Run ADAPT and LODI transport/dispersion codes for one scenario on imported meteorological forecast and climatological data. (3) Provide documentation of the effort. The following tasking description gives both the context and manner in which the goals listed above were accomplished: (A) We had discussions with NRL personnel, notably Stefan Thonnard and Doug Drob, to confirm the data compatibility of the data that we will be importing for use. Data up to 100km in altitude was provided and imported into the NARAC modeling system. (B) The ADAPT atmospheric data assimilation model was used to take data from NRL and provide mass-consistent three-dimensional time-varying wind fields for the NARAC Langrangian particle tracking code, LODI. A test version of LODI, developed to consider rarefied conditions, higher altitude turbulence, and high initial particle speeds, was used run on the ADAPT output. (C) The results of the proof-of-concept simulations under time-varying meteorological forecasts and under climatological wind fields are compared and documented in this brief report discussing the capability of the NARAC modeling system for importing and using the high altitude datasets from NRL. A limited assessment of the difference between dispersion results on the different data sets is made.
Download or read book Dynamic Data Driven Event Reconstruction for Atmospheric Releases written by and published by . This book was released on 2007 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accidental or terrorist releases of hazardous materials into the atmosphere can impact large populations and cause significant loss of life or property damage. Plume predictions have been shown to be extremely valuable in guiding an effective and timely response. The two greatest sources of uncertainty in the prediction of the consequences of hazardous atmospheric releases result from poorly characterized source terms and lack of knowledge about the state of the atmosphere as reflected in the available meteorological data. We have developed a new event reconstruction methodology that provides probabilistic source term estimates from field measurement data for both accidental and clandestine releases. Accurate plume dispersion prediction requires the following questions to be answered: What was released? When was it released? How much material was released? Where was it released? We have developed a dynamic-data-driven event reconstruction capability that couples data and predictive methods through Bayesian inference to obtain a solution to this inverse problem. The solution consists of a probability distribution of unknown source term parameters. For consequence assessment, we then use this probability distribution to construct a 'composite' forward plume prediction that accounts for the uncertainties in the source term. Since in most cases of practical significance it is impossible to find a closed form solution, Bayesian inference is accomplished by utilizing stochastic sampling methods. This approach takes into consideration both measurement and forward model errors and thus incorporates all the sources of uncertainty in the solution to the inverse problem. Stochastic sampling methods have the additional advantage of being suitable for problems characterized by a non-Gaussian distribution of source term parameters and for cases in which the underlying dynamical system is nonlinear. We initially developed a Markov Chain Monte Carlo (MCMC) stochastic methodology and demonstrated its effectiveness by reconstructing a wide range of release scenarios, using synthetic as well as real-world data. Data for evaluation of our event reconstruction capability were drawn from the short-range Prairie Grass, Copenhagen, and Joint Urban 2003 field experiments and a continental-scale real-world accidental release in Algeciras, Spain. The method was tested using a variety of forward models, including a Gaussian puff dispersion model INPUFF, the regional-to-continental scale Lagrangian dispersion model LODI (the work-horse real-time operational dispersion model used by the National Atmospheric Release Advisory Center), the empirical urban model UDM, and the building-scale computational fluid dynamics code FEM3MP. The robustness of the Bayesian methodology was demonstrated via the use of subsets of the available concentration data and by introducing error into some of the measurements (Fig. 1). These tests showed that the Bayesian approach is capable of providing reliable estimates of source characteristics even in cases of limited or significantly corrupted data. An example of an urban release scenario is shown in Fig. 2. For more effective treatment of strongly time-dependent problems, we developed a Sequential Monte Carlo (SMC) approach. To achieve the best performance under a wide range of conditions we combined SMC and MCMC sampling into a hybrid methodology. We compared the effectiveness and advantages of this approach relative to MCMC using a set of synthetic data examples. We created a modular, scalable computational framework to accommodate the full set of stochastic methodologies (e.g., MCMC, SMC, hybrid stochastic algorithms, 'Green's function', 'reciprocal' methods), as well as a selection of key classes of dispersion models. This design provides a clear separation of stochastic algorithms from predictive models and supports parallelization at both the stochastic algorithm and individual model level. In other words, it supports a parallel stochastic algorithm (e.g., SMC) that invokes parallel forward models. The framework is written in Python and utilizes pyMPI. It invokes forward models either through system calls or as shared objects. Our dynamic-data-driven event reconstruction capability seamlessly integrates observational data streams with predictive models, in order to provide the best possible estimates of unknown source-term parameters, as well as optimal and timely situation analyses consistent with both models and data. This new methodology is shown to be both flexible and robust, adaptable for use with any atmospheric dispersion model, and suitable for use in operational emergency response applications.
Download or read book LLNL Atmospheric Dispersion Model Developments in Support of Emergency Response written by L. L. Edwards and published by . This book was released on 1991 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are concurrently pursuing several different improvements to our emergency response models. Dense gas effects, including the slumping and horizontal spreading of the dense cloud, the turbulence suppression and the diversion of the ambient flow by the dense cloud, are being incorporated into our dispersion model. We are also coupling model predictions with observations by using regression analysis techniques in order to derive more accurate values of poorly known model input parameters such as source term characteristics. Additionally, we are developing a predictive mesoscale model to provide forecast wind and temperature fields to the dispersion models.
Download or read book The Atmospheric Sciences written by Board on Atmospheric Sciences and Climate and published by National Academies Press. This book was released on 1998-11-05 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technology has propelled the atmospheric sciences from a fledgling discipline to a global enterprise. Findings in this field shape a broad spectrum of decisions--what to wear outdoors, whether aircraft should fly, how to deal with the issue of climate change, and more. This book presents a comprehensive assessment of the atmospheric sciences and offers a vision for the future and a range of recommendations for federal authorities, the scientific community, and education administrators. How does atmospheric science contribute to national well-being? In the context of this question, the panel identifies imperatives in scientific observation, recommends directions for modeling and forecasting research, and examines management issues, including the growing problem of weather data availability. Five subdisciplines--physics, chemistry, dynamics and weather forecasting, upper atmosphere and near-earth space physics, climate and climate change--and their status as the science enters the twenty-first century are examined in detail, including recommendations for research. This readable book will be of interest to public-sector policy framers and private-sector decisionmakers as well as researchers, educators, and students in the atmospheric sciences.
Download or read book Operational Weather Forecasting written by Peter Michael Inness and published by John Wiley & Sons. This book was released on 2012-12-06 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a complete primer, covering the end-to-end process of forecast production, and bringing together a description of all the relevant aspects together in a single volume; with plenty of explanation of some of the more complex issues and examples of current, state-of-the-art practices. Operational Weather Forecasting covers the whole process of forecast production, from understanding the nature of the forecasting problem, gathering the observational data with which to initialise and verify forecasts, designing and building a model (or models) to advance those initial conditions forwards in time and then interpreting the model output and putting it into a form which is relevant to customers of weather forecasts. Included is the generation of forecasts on the monthly-to-seasonal timescales, often excluded in text-books despite this type of forecasting having been undertaken for several years. This is a rapidly developing field, with a lot of variations in practices between different forecasting centres. Thus the authors have tried to be as generic as possible when describing aspects of numerical model design and formulation. Despite the reliance on NWP, the human forecaster still has a big part to play in producing weather forecasts and this is described, along with the issue of forecast verification – how forecast centres measure their own performance and improve upon it. Advanced undergraduates and postgraduate students will use this book to understand how the theory comes together in the day-to-day applications of weather forecast production. In addition, professional weather forecasting practitioners, professional users of weather forecasts and trainers will all find this new member of the RMetS Advancing Weather and Climate series a valuable tool. Provides an end-to-end description of the weather forecasting process Clearly structured and pitched at an accessible level, the book discusses the practical choices that operational forecasting centres have to make in terms of what numerical models they use and when they are run. Takes a very practical approach, using real life case-studies to contextualize information Discusses the latest advances in the area, including ensemble methods, monthly to seasonal range prediction and use of ‘nowcasting’ tools such as radar and satellite imagery Full colour throughout Written by a highly respected team of authors with experience in both academia and practice. Part of the RMetS book series ‘Advancing Weather and Climate’
Download or read book Next Generation Earth System Prediction written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2016-08-22 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the nation's economic activities, security concerns, and stewardship of natural resources become increasingly complex and globally interrelated, they become ever more sensitive to adverse impacts from weather, climate, and other natural phenomena. For several decades, forecasts with lead times of a few days for weather and other environmental phenomena have yielded valuable information to improve decision-making across all sectors of society. Developing the capability to forecast environmental conditions and disruptive events several weeks and months in advance could dramatically increase the value and benefit of environmental predictions, saving lives, protecting property, increasing economic vitality, protecting the environment, and informing policy choices. Over the past decade, the ability to forecast weather and climate conditions on subseasonal to seasonal (S2S) timescales, i.e., two to fifty-two weeks in advance, has improved substantially. Although significant progress has been made, much work remains to make S2S predictions skillful enough, as well as optimally tailored and communicated, to enable widespread use. Next Generation Earth System Predictions presents a ten-year U.S. research agenda that increases the nation's S2S research and modeling capability, advances S2S forecasting, and aids in decision making at medium and extended lead times.
Download or read book Good Practice Guide for Atmospheric Dispersion Modelling written by New Zealand. Ministry for the Environment and published by . This book was released on 2004-01-01 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1984 with total page 1200 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Air Pollution Modeling and its Application XVII written by Carlos Borrego and published by Springer Science & Business Media. This book was released on 2007-04-05 with total page 750 pages. Available in PDF, EPUB and Kindle. Book excerpt: In 1969 the North Atlantic Treaty Organisation (NATO) established the Committee on Challenges of Modern Society (CCMS). The subject of air pol- tion was from the start, one of the priority problems under study within the fra- work of various pilot studies undertaken by this committee. The organization of a periodic conference dealing with air pollution modeling and its application has become one of the main activities within the pilot study relating to air pollution. The first five international conferences were organized by the United States as the pilot country; the second five by the Federal Republic of Germany; the third five by Belgium; the next four by The Netherlands; and the next five by Denmark; and with this one, the last three by Portugal. th This volume contains the papers and posters presented at the 27 NATO/CCMS International Technical Meeting on Air Pollution Modeling and Its Application held in Banff, Canada, 24-29 October 2004. The key topics at this ITM included: Role of Atmospheric Models in Air Pollution Policy and Abatement Strategies; Integrated Regional Modeling; Effects of Climate Change on Air Quality; Aerosols as Atmospheric Contaminants; New Developments; and Model Assessment and Verification. 104 participants from North and South America, Europe, Africa and Asia attended th the 27 ITM. The conference was jointly organized by the University of Aveiro, Portugal (Pilot Country) and by The University of Calgary, Canada (Host Country). A total of 74 oral and 22 poster papers were presented during the conference.
Download or read book Coping With Flash Floods written by Eve Gruntfest and published by Springer Science & Business Media. This book was released on 2001-01-31 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the NATO Advanced Study Institute, Ravello, Italy, 8-17 November 1999
