Climatological Data

Climatological Data
Author: United States. Environmental Data Service
Publisher:
Total Pages: 858
Release: 1998
Genre: California
ISBN:

1999 European Wind Energy Conference

1999 European Wind Energy Conference
Author: E.L. Petersen
Publisher: Routledge
Total Pages: 1281
Release: 2014-01-02
Genre: Architecture
ISBN: 1134273584

The 1999 European Wind Energy Conference and Exhibition was organized to review progress, and present and discuss the wind energy business, technology and science for the future. The Proceedings contain a selection of over 300 papers from the conference. They represent a significant update to the understanding of this increasingly important field of energy generation and cover a full range of topics.

SDGs in the European Region

SDGs in the European Region
Author: Walter Leal Filho
Publisher: Springer Nature
Total Pages: 1576
Release: 2023-08-31
Genre: Science
ISBN: 3031174615

This volume describes the thinking on sustainable development and a variety of initiatives across Europe, illustrating regional efforts to foster sustainable communities and ecological and social innovation. It contains various contributions which showcase examples of thinking, economic and social structures and in consumption and production patterns needed, to implement the SDGs. This book is part of the "100 papers to accelerate the implementation of the UN Sustainable Development Goals initiative".

Climate Time Series Analysis

Climate Time Series Analysis
Author: Manfred Mudelsee
Publisher: Springer Science & Business Media
Total Pages: 497
Release: 2010-08-26
Genre: Science
ISBN: 9048194822

Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers.