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Author : William Paul Kemp
Publisher : Unknown
Page : 56 pages
File Size : 47,5 Mb
Release : 1989
Category : Atmospheric temperature
ISBN : MINN:31951D029961808
Author : Nicholas L. Crookston
Publisher : Unknown
Page : 568 pages
File Size : 41,5 Mb
Release : 1990
Category : Data structures (Computer science)
ISBN : OSU:32435069020741
Author : William Paul Kemp
Publisher : Unknown
Page : 560 pages
File Size : 52,8 Mb
Release : 1989
Category : Atmospheric temperature
ISBN : STANFORD:36105005944884
Author : Douglas W. Harwood
Publisher : Unknown
Page : 68 pages
File Size : 48,5 Mb
Release : 1987
Category : Electronic
ISBN : UOM:39015075409832
Author : Andrew Gettelman,Richard B. Rood
Publisher : Springer
Page : 282 pages
File Size : 43,9 Mb
Release : 2016-04-09
Category : Technology & Engineering
ISBN : 9783662489598
This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models. Case studies of how climate model output has been used and how it might be used in the future are provided. The ultimate goal of this book is to promote a better understanding of the structure and uncertainties of climate models among users, including scientists, engineers and policymakers.
Author : Anonim
Publisher : Unknown
Page : 520 pages
File Size : 51,5 Mb
Release : 1990
Category : Forests and forestry
ISBN : UOM:39015017884381
Author : Anonim
Publisher : Unknown
Page : 1194 pages
File Size : 53,5 Mb
Release : 1976
Category : Government publications
ISBN : UCR:31210024274613
Author : Anonim
Publisher : DIANE Publishing
Page : 252 pages
File Size : 44,5 Mb
Release : 2024-06-03
Category : Electronic
ISBN : 9781428904880
Author : United States. Superintendent of Documents
Publisher : Unknown
Page : 1408 pages
File Size : 43,8 Mb
Release : 1976
Category : United States
ISBN : STANFORD:36105021034173
Author : Anonim
Publisher : Unknown
Page : 574 pages
File Size : 41,6 Mb
Release : 1975
Category : Forests and forestry
ISBN : CHI:31708455
Author : Anonim
Publisher : Unknown
Page : 722 pages
File Size : 53,8 Mb
Release : 1988
Category : Forest fires
ISBN : CUB:U183029135424
Author : Anonim
Publisher : Unknown
Page : 190 pages
File Size : 48,7 Mb
Release : 1983
Category : Information storage and retrieval systems
ISBN : UOM:39015022336526
Author : Patrick J. O'Brien
Publisher : Unknown
Page : 444 pages
File Size : 51,8 Mb
Release : 1989
Category : Marine meteorology
ISBN : MINN:30000002942187
Author : George Racin
Publisher : Unknown
Page : 302 pages
File Size : 55,8 Mb
Release : 1995
Category : Gypsy moth
ISBN : STANFORD:36105113750017
Author : Georges Kariniotakis
Publisher : Woodhead Publishing
Page : 386 pages
File Size : 54,9 Mb
Release : 2017-09-29
Category : Technology & Engineering
ISBN : 9780081005057
Renewable Energy Forecasting: From Models to Applications provides an overview of the state-of-the-art of renewable energy forecasting technology and its applications. After an introduction to the principles of meteorology and renewable energy generation, groups of chapters address forecasting models, very short-term forecasting, forecasting of extremes, and longer term forecasting. The final part of the book focuses on important applications of forecasting for power system management and in energy markets. Due to shrinking fossil fuel reserves and concerns about climate change, renewable energy holds an increasing share of the energy mix. Solar, wind, wave, and hydro energy are dependent on highly variable weather conditions, so their increased penetration will lead to strong fluctuations in the power injected into the electricity grid, which needs to be managed. Reliable, high quality forecasts of renewable power generation are therefore essential for the smooth integration of large amounts of solar, wind, wave, and hydropower into the grid as well as for the profitability and effectiveness of such renewable energy projects. Offers comprehensive coverage of wind, solar, wave, and hydropower forecasting in one convenient volume Addresses a topic that is growing in importance, given the increasing penetration of renewable energy in many countries Reviews state-of-the-science techniques for renewable energy forecasting Contains chapters on operational applications