Doppler Radar, Satellites, and Computer Models


Book Description

How do scientists predict the weather? What tools and instruments help them make forecasts? How far in advance can they make good predictions? Weather forecasting is a tricky science. Forecasters gather current weather data and study trends and historical patterns. They use their expertise to predict what kind of weather is likely coming next—with help from computers, satellites, and other machines. In this fact-packed book, discover what it really takes to forecast Earth’s weather.




Forecasting with Computer Models


Book Description




Forecasting with Computer Models


Book Description




Developments in Teracomputing


Book Description

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."




Doppler Radar, Satellites, and Computer Models


Book Description

How do scientists predict the weather? What tools and instruments help them make forecasts? How far in advance can they make good predictions? Weather forecasting is a tricky science. In this fact-packed book, discover what it really takes to forecast Earths weather.




Forecasting with Computer Models


Book Description

This book aims to train students and early professionals in the use of computer models for policy analysis, with special emphasis on economics, and some emphasis on demography and energy issues. The author reviews basic forecasting theory; the limits and uses of forecasting; and the recent history of forecasting, econometrics in particular. The book facilitates hands-on learning: the model and its background is described and then the reader is taken through the model step-by-step so that with the completion of each chapter he or she actually carries out a run of the model.




Cultures of Prediction in Atmospheric and Climate Science


Book Description

In recent decades, science has experienced a revolutionary shift. The development and extensive application of computer modelling and simulation has transformed the knowledge‐making practices of scientific fields as diverse as astro‐physics, genetics, robotics and demography. This epistemic transformation has brought with it a simultaneous heightening of political relevance and a renewal of international policy agendas, raising crucial questions about the nature and application of simulation knowledges throughout public policy. Through a diverse range of case studies, spanning over a century of theoretical and practical developments in the atmospheric and environmental sciences, this book argues that computer modelling and simulation have substantially changed scientific and cultural practices and shaped the emergence of novel ‘cultures of prediction’. Making an innovative, interdisciplinary contribution to understanding the impact of computer modelling on research practice, institutional configurations and broader cultures, this volume will be essential reading for anyone interested in the past, present and future of climate change and the environmental sciences.




Atlas of Forecasts


Book Description

Forecasting the future with advanced data models and visualizations. To envision and create the futures we want, society needs an appropriate understanding of the likely impact of alternative actions. Data models and visualizations offer a way to understand and intelligently manage complex, interlinked systems in science and technology, education, and policymaking. Atlas of Forecasts, from the creator of Atlas of Science and Atlas of Knowledge, shows how we can use data to predict, communicate, and ultimately attain desirable futures. Using advanced data visualizations to introduce different types of computational models, Atlas of Forecasts demonstrates how models can inform effective decision-making in education, science, technology, and policymaking. The models and maps presented aim to help anyone understand key processes and outcomes of complex systems dynamics, including which human skills are needed in an artificial intelligence-empowered economy; what progress in science and technology is likely to be made; and how policymakers can future-proof regions or nations. This Atlas offers a driver's seat-perspective for a test-drive of the future.




Structured Learning and Prediction in Computer Vision


Book Description

Structured Learning and Prediction in Computer Vision introduces the reader to the most popular classes of structured models in computer vision.




ITSM for Windows


Book Description

The analysis of time series data is an important aspect of data analysis across a wide range of disciplines, including statistics, mathematics, business, engineering, and the natural and social sciences. This package provides both an introduction to time series analysis and an easy-to-use version of a well-known time series computing package called Interactive Time Series Modelling. The programs in the package are intended as a supplement to the text Time Series: Theory and Methods, 2nd edition, also by Peter J. Brockwell and Richard A. Davis. Many researchers and professionals will appreciate this straightforward approach enabling them to run desk-top analyses of their time series data. Amongst the many facilities available are tools for: ARIMA modelling, smoothing, spectral estimation, multivariate autoregressive modelling, transfer-function modelling, forecasting, and long-memory modelling. This version is designed to run under Microsoft Windows 3.1 or later. It comes with two diskettes: one suitable for less powerful machines (IBM PC 286 or later with 540K available RAM and 1.1 MB of hard disk space) and one for more powerful machines (IBM PC 386 or later with 8MB of RAM and 2.6 MB of hard disk space available).