Mathematical and Physical Ideas for Climate Science
by Valerio Lucarini, et al.
Publisher: arXiv 2013
Number of pages: 42
The climate is an excellent example of a forced, dissipative system dominated by nonlinear processes and featuring non-trivial dynamics of a vast range of spatial and temporal scales. In this interdisciplinary review, we are guided by our interest in exploring the nexus between climate and concepts such as energy, entropy, symmetry, response, multiscale interactions, and its potential relevance in terms of numerical modeling.
Home page url
Download or read it online for free here:
by Wee Ho Lim, Michael L. Roderick - ANU E Press
The maps and tables in the Atlas document rainfall, evaporation and runoff estimates for the 20th century along with predictions at the end of the 21st century. The predictions are made by the international climate modeling community.
by Robert DeCourcy Ward - Ginn & company
The object of this book is to supply a guide in the elementary observational and inductive studies in meteorology. This Manual is not intended to replace the text-books, but is designed to prepare the way for their more intelligent use.
by Charlie Zender - University of California, Irvine
This document describes processes and radiative transfer models of the Earth system. Our approach is to present a detailed derivation of the tools of radiative transfer needed to predict the radiative quantities which drive climate.
by J. Hansen, M. Sato, P. Kharecha, K. von Schuckmann - arXiv
Observations of ocean temperature confirm that Earth is absorbing more energy from the sun than it is radiating to space as heat. The energy imbalance provides verification of the dominant role of the human-made greenhouse effect in climate change.