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Author: Stéphane Vannitsem Publisher: Elsevier ISBN: 012812248X Category : Science Languages : en Pages : 364
Book Description
Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. - Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place - Provides real-world examples of methods used to formulate forecasts - Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner
Author: Stéphane Vannitsem Publisher: Elsevier ISBN: 012812248X Category : Science Languages : en Pages : 364
Book Description
Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. - Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place - Provides real-world examples of methods used to formulate forecasts - Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner
Author: John Brunner Publisher: Gateway ISBN: 0575101555 Category : Fiction Languages : en Pages : 131
Book Description
The far-flung fingers of Earth's civilisation touched many corners of the galaxy, and among them was the beautiful planet Yan. Here the colonists lived a peaceful, almost idyllic life, amid ancient and secret relics, co-existing with their strange and compatible neighbours. The arrival of Gregory Chart, the greatest dramatist ever, whose productions were played out in the skies, and whose actors were also the audience, could only disrupt and destroy once the Yanfolk were aroused from their dreaming indifference . . . (First published 1972)
Author: Kristen N. Buck Publisher: Frontiers Media SA ISBN: 2889453766 Category : Languages : en Pages : 305
Book Description
This research topic highlights the most recent accomplishments of a Scientific Committee on Oceanic Research (SCOR) Working Group, SCOR WG 139: Organic Ligands - A Key Control on Trace Metal Biogeochemistry in the Ocean.
Author: Publisher: ISBN: 9783030168001 Category : Lithium ion batteries Languages : en Pages : 247
Book Description
"This is the first machine-generated scientific book in chemistry published by Springer Nature. Serving as an innovative prototype defining the current status of the technology, it also provides an overview about the latest trends of lithium-ion batteries research. This book explores future ways of informing researchers and professionals. State-of-the-art computer algorithms were applied to: select relevant sources from Springer Nature publications, arrange these in a topical order, and provide succinct summaries of these articles. The result is a cross-corpora auto-summarization of current texts, organized by means of a similarity-based clustering routine in coherent chapters and sections. This book summarizes more than 150 research articles published from 2016 to 2018 and provides an informative and concise overview of recent research into anode and cathode materials as well as further aspects such as separators, polymer electrolytes, thermal behavior and modelling. With this prototype, Springer Nature has begun an innovative journey to explore the field of machine-generated content and to find answers to the manifold questions on this fascinating topic. Therefore it was intentionally decided not to manually polish or copy-edit any of the texts so as to highlight the current status and remaining boundaries of machine-generated content. Our goal is to initiate a broad discussion, together with the research community and domain experts, about the future opportunities, challenges and limitations of this technology."--Publisher's website.
Author: Michal Grzegorzek Publisher: National Geographic Books ISBN: 3956795504 Category : Art Languages : en Pages : 0
Book Description
Karol Radziszewski's montage of queer archival materials that formulate new ways of understanding history, memory, and legislation in Eastern Europe. In 1989, a great political change awaited Poland: with the fall of the Berlin wall and the flourishing of capitalism, the people behind the Iron Curtain would be set free. Karol Radziszewski was nine years old, living in Białystok, and, in a graph-paper notebook, he drew pages and pages of princesses in corrective eyewear, dogs with mermaid tails, and mysterious seductresses, whose exceptionally firm bosoms would be, sooner or later, bedecked in arrows shot into a heart or a flame. Karol knows that the secrets of these notebooks were off limits to everyone. Today these drawings reemerge as self-portraits of this adult artist: full-fledged works capping off Radziszewski's enormous queer archive. For he himself is a man of many faces: artist, curator, film director, and avid collector, skillfully navigating between the visual and performative arts. But above all, he is the creator of the Queer Archives Institute, a never-ending performance and informal organization grappling with the suppressed, yet surprisingly beautiful queer memory of Central and Eastern Europe. The artist's special montage of archival materials--self-made, ready-made, or inspiration for artistic extrapolation--formulates new ways of understanding history, memory, or legislation. He blurs facts with fantasies, cobbling together documentation from scraps of memories. He leaves false trails to suggest alternative paths of remembering. The secret performativity of Karol Radziszewski's archive is not merely in its tales of the past, but above all, in the queer potential of the future: in its revolutionary nature, its change, and its promise of freedom. Contributors Michał Grzegorzek, Fanny Hauser, João Laia, Élisabeth Lebovici, Katarzyna Przyłuska-Urbanowicz, Dorota Sajewska, Barbara Steiner, Wojciech Szymański
Author: Peggy Cellier Publisher: Springer Nature ISBN: 3030438236 Category : Computers Languages : en Pages : 688
Book Description
This two-volume set constitutes the refereed proceedings of the workshops which complemented the 19th Joint European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD, held in Würzburg, Germany, in September 2019. The 70 full papers and 46 short papers presented in the two-volume set were carefully reviewed and selected from 200 submissions. The two volumes (CCIS 1167 and CCIS 1168) present the papers that have been accepted for the following workshops: Workshop on Automating Data Science, ADS 2019; Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence and eXplainable Knowledge Discovery in Data Mining, AIMLAI-XKDD 2019; Workshop on Decentralized Machine Learning at the Edge, DMLE 2019; Workshop on Advances in Managing and Mining Large Evolving Graphs, LEG 2019; Workshop on Data and Machine Learning Advances with Multiple Views; Workshop on New Trends in Representation Learning with Knowledge Graphs; Workshop on Data Science for Social Good, SoGood 2019; Workshop on Knowledge Discovery and User Modelling for Smart Cities, UMCIT 2019; Workshop on Data Integration and Applications Workshop, DINA 2019; Workshop on Machine Learning for Cybersecurity, MLCS 2019; Workshop on Sports Analytics: Machine Learning and Data Mining for Sports Analytics, MLSA 2019; Workshop on Categorising Different Types of Online Harassment Languages in Social Media; Workshop on IoT Stream for Data Driven Predictive Maintenance, IoTStream 2019; Workshop on Machine Learning and Music, MML 2019; Workshop on Large-Scale Biomedical Semantic Indexing and Question Answering, BioASQ 2019. The chapter "Supervised Human-guided Data Exploration" is published open access under a Creative Commons Attribution 4.0 International license (CC BY).
Author: Stéphane Vannitsem
Author: Stéphane Vannitsem
Author: John Brunner
Author: 
Author: Karel Martens
Author: Alexander A. Oraevsky
Author: Kristen N. Buck
Author: Georg Brauer
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Author: Michal Grzegorzek
Author: Peggy Cellier