A Wave Prediction System for Real-time Sea State Forecasting PDF Download

Author: Brage Golding
Publisher:
ISBN:
Category :
Languages : en
Pages : 24

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Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 20

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Book Description
The SWAN (Simulating Waves Nearshore) wave model using wind inputs generated by the ALADIN 8-km, operational high-resolution, atmospheric model was run in real-time to provide surface waves forecast for the semi-enclosed Adriatic Sea in support of the "Dynamics of the Adriatic in Real-Time" (DART) field experiments. Together with predictions from other wave and wind models, the successful prediction of a high sea-state event by this model led to a real-time shifting of planned operations while at sea, allowing five ADCP moorings to be deployed just before a bora storm and associated storm waves arrived. The model was also able to simulate the spatial gradients in significant wave height observed by in-situ and remote-sensing measurements for a particular sirocco storm case study, providing an additional perspective in aiding interpretation of the model output of features. To further quantify prediction skill, the wave forecast performance over a 12-month period was evaluated against in-situ and altimeter measurements over the region. Correlation coefficients between forecast and in-situ measured significant wave heights were from 0.82 to 0.91 for the 24-h forecast and from 0.78 to 0.88 for the 48-h forecast. However, best-fit slope comparisons with in-situ wave data at five coastal locations show the forecast wave heights were underpredicted by 10% to 30%. Best-fit slope comparisons between modeled wind speeds, U10, and significant wave heights. Hs and altimeter-derived measurements show that model U10 was about 4% underpredicted, but Hs, was underpredicted by an average of 30%. The underprediction of SWAN Hs has a very significant location-dependent geographical variation ranging from 10% to over 50%.

Author: Eric P. Chassignet
Publisher: Springer Science & Business Media
ISBN: 9781402039812
Category : Science
Languages : en
Pages : 600

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This volume covers a wide range of topics and summarizes our present knowledge in ocean modeling, ocean observing systems, and data assimilation. The Global Ocean Data Assimilation Experiment (GODAE) provides a framework for these efforts: a global system of observations, communications, modeling, and assimilation that will deliver regular, comprehensive information on the state of the oceans, engendering wide utility and availability for maximum benefit to the community.

Author: G. J. Komen
Publisher: Cambridge University Press
ISBN: 0521470471
Category : Science
Languages : en
Pages : 558

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Book Description
A comprehensive introduction and reference prepared by the world's leading ocean wave modellers.

Author: Madhav L. Khandekar
Publisher: Springer Science & Business Media
ISBN: 1461389526
Category : Science
Languages : en
Pages : 223

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Book Description
This monograph is an attempt to compile the present state of knowledge on ocean wave analysis and prediction. The emphasis of the monograph is on the development of ocean wave analysis and predic tion procedures and their utility for real-time operations and appli cations. Most of the material in the monograph is derived from journal articles, research reports and recent conference proceedings; some of the basic material is extracted from standard text books on physical oceanography and wind waves. Ocean wave analysis and prediction is becoming an important activity in the meteorological and oceanographic services of many countries. The present status of ocean wave prediction may be compar able to the status of numerical weather prediction of the mid-sixties and early seventies when a number of weather prediction models were developed for research purposes, many of which were later put into operational use by meteorological services of several countries. The increased emphasis on sea-state analysis and prediction has created a need for a ready reference material on various ocean wave analysis and modelling techniques and their utility. The present monograph is aimed at fulfilling this need. The monograph should prove useful to the ocean wave modelling community as well as to marine forecasters, coastal engineers and offshore technologists. The monograph could also be used for a senior undergraduate (or a first year graduate) level course in ocean wave modelling and marine meteorology.

Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
ISBN: 0309388805
Category : Science
Languages : en
Pages : 351

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Book Description
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.

Author: The SWAMP Group
Publisher: Springer Science & Business Media
ISBN: 1475760558
Category : Science
Languages : en
Pages : 248

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Book Description
Early in 1979, a group of wave researchers proposed a wave model inter comparison study to clarify the interrelations existing among the various wave models which have been developed in past years for real-time wave forecasting, wave statistics compilations, or hindcast case studies. The idea was immediately welcomed by the wave modeling community, and, finally, nine wave modeling groups from the United States, Japan, and Europe participated in the exercise. The principal results of this work are presented here jointly by the Sea Wave Modeling Project (swAMP) Group (the members of which are listed in Appendix A). Descriptions of the models used in the study are given in Part II of this volume. A more complete documentation of the entire set of numerical experiments is given in Part 2 of the Sea Wave Modeling Project (SWAMP group, 1982). The main purpose of the intercomparison study was to test our present understanding of the physics of . wind-generated surface waves from the viewpoint of wave modeling. Specifically, we wished to clarify the basic interdependence between understanding the physics of surface waves, repre senting the physics numerically, and predicting quantitatively the detailed space-time evolution of a two-dimensional surface wave spectrum for a given wind field. It was not our intent to carry out a model competition. In this sense there were no winners or losers: all models could claim specific strong points, and all displayed weaknesses in some areas.

Author: N.C. Flemming
Publisher: Elsevier
ISBN: 0080538053
Category : Science
Languages : en
Pages : 573

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Book Description
The Global Ocean Observing System (GOOS) is an international programme for a permanent global framework of observations, modelling and analysis of ocean variables that are needed to support operational services around the world. The EuroGOOS strategy has two streams: the first is to improve the quality of marine information in European home waters, and the second is to collaborate with similar organisations in other continents to create a new global ocean observing and modelling system that will provide the open ocean forecasts needed to achieve the best possible performance by local marine information services everywhere. EuroGOOS held its second international conference in The Hague in 1999. Here, the operational services already in place in the EuroGOOS regions were presented and evaluated. In addition, a "Forward Look" was presented, with targets for the next 5-10 years. The proceedings of the first EuroGOOS conference were published by Elsevier in the /locate/inca/600827EOS Series No. 62 Editors: Stel et al, ISBN 0-444-82892-3.

Author: Tom Carrieres
Publisher: Cambridge University Press
ISBN: 1108417426
Category : Science
Languages : en
Pages : 263

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Book Description
A comprehensive overview of the science involved in automated prediction of sea ice, for sea ice analysts, researchers, and professionals.

Author: Nadia Pinardi
Publisher: Springer Science & Business Media
ISBN: 9783540679646
Category : Science
Languages : en
Pages : 502

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Book Description
The book gives a first consistent overview of methods and applications of ocean forecasting around the world. This sector of marine science and technology is developing rapidly due to the increasing need for reliable, multidisciplinary information about the marine system, allowing the sustainable usage of coastal resources and the mitigation of global change effects. Several chapters are devoted to the conceptual and theoretical bases of ocean forecasting, ranging from the design of observational and modelling systems, data assimilation techniques and numerical ecosystem modelling. The book also includes examples of modelling/forecasting systems currently in use or being set-up in the ocean for different space and time scales. The book is useful for advanced graduate students as well as scientists in related disciplines, as it enables them to understand the present level of knowledge and performance of existing forecasting systems.