Meteorology at the Millennium details recent advances in meteorology and explores its interfaces with science, technology, and society. Ways in which modern meteorology is contributing to the developments in other sciences are described, as well as how atmospheric scientists are learning from colleagues in related disciplines.Meteorology at the Millennium will serve as a point of reference for students and researchers of meteorology and climatology for many years to come.The areas covered include weather prediction at the millennium, climate variability and change, atmosphere-ocean coupling, the biogeochemical system, weather on other planets.This book is a compilation of the best invited papers presented at a conference celebrating the 150 years of the Royal Meteorological Society (RMS).

Weather provides a wide variety of stimuli for our senses. The sound of thunder and gales, the smell of damp soil at the start of a summer thunderstorm are but temporary phenomena while the visual panorama of the changing sky that provides a more revealing insight into the workings of the dynamic atmosphere. Understanding Weather shows how it is possible to understand weather and climate by combining our ability to observe weather systems from the earth's surface with visualisation from above - notably by means of satellite imagery. This fusion of human observation with the contrasting capabilities of remote sensing gives us a new perspective for exploring the three dimensional atmosphere. Remote sensing imagery and real-time weather information are now widely available through the internet, allowing the reader to relate the case studies to today's weather situation. As with all sciences, understanding starts with careful observation. This books aims to show that it is possible to analyse global weather systems through a visual approach rather than the traditional use of mathematics and physics. After examining the interaction of atmospheric heat, moisture and motion in a non-technical style, the contrasting but complementary techniques of weather observation from 'below' and 'above' are compared. The world's climates are then surveyed with key weather features illustrated by satellite imagery, highlighting the way in which weather events may develop into atmospheric hazards.

This book provides a comprehensive overview of numerical weather prediction (NWP) focusing on the application of the spectral method in NWP models. The author illustrates the use of the spectral method in theory as well as in its application to building a full prototypical spectral NWP model, from the formulation of continuous model equations through development of their discretized forms to coded statements of the model. The author describes the implementation of a specific model - PEAK (Primitive-Equation Atmospheric Research Model Kernel) - to illustrate the steps needed to construct a global spectral NWP model. The book brings together all the spectral, time, and vertical discretization aspects relevant for such a model. It provides readers with information necessary to construct spectral NWP models; a self-contained, well-documented, coded spectral NWP model; and theoretical and practical exercises, some of which include solutions.

Advances in nonlinear dynamics, especially modern multifractal cascade models, allow us to investigate the weather and climate at unprecedented levels of accuracy. Using new stochastic modeling and data analysis techniques, this book provides an overview of the nonclassical, multifractal statistics. By generalizing the classical turbulence laws, emergent higher-level laws of atmospheric dynamics are obtained and are empirically validated over time-scales of seconds to decades and length-scales of millimetres to the size of the planet. In generalizing the notion of scale, atmospheric complexity is reduced to a manageable scale-invariant hierarchy of processes, thus providing a new perspective for modeling and understanding the atmosphere. This synthesis of state-of-the-art data and nonlinear dynamics is systematically compared with other analyses and global circulation model outputs. This is an important resource for atmospheric science researchers new to multifractal theory and is also valuable for graduate students in atmospheric dynamics and physics, meteorology, oceanography and climatology.

It wasn't until the mid-19th century that the science of meteorology was recognized as a bona fide science.

At a time when it is clear that climate change adaptation and mitigation are failing, this book examines how our assumptions about (valid and usable) knowledge are preventing effective climate action. Through a cross-disciplinary, empirically-based analysis of climate science and policy, the book situates the failures of climate policy in the cultural history of prediction and its interfaces with policy. Fava calls into question the current interfaces between scientific research and climate policy by tracing multiple connections between modelling, epistemology, politics, food security, religion, art, and the apocalyptic. Demonstrating how the current domination of climate policy by models and scenarios is part of the problem, the book examines how artistic practices are a critical location to ask questions differently, rethink environmental futures, and activate social change. The analysis starts with another moment of climatic change in recent western history: the overlap of the Little Ice Age and the "scientific revolution," during which intense climatic, scientific and political change were contemporary with mathematical calculation of the apocalypse. Dealing with the need for complex answers to complex and urgent questions, this is essential reading for those interested in climate action, interdisciplinary research and methodological innovation. The empirical analyses amount to a methodological experiment, across history of science, theology, art theory and history, architecture, future studies, climatology, computer modelling, and agricultural policy. This book is a major contribution to understanding how we are precluding effective climate action, and designing futures that resemble our worst nightmares.

Published by the American Geophysical Union as part of the Geophysical Monograph Series, Volume 158. The world's largest positive temperature deviation from zonal mean temperatures lies within the realm of the Nordic Seas, comprising bodies of water variously referred to as the Norwegian Sea, the Iceland Sea, and the Greenland Sea. Its role as a mixing cauldron for waters entering from the North Atlantic and the Arctic Oceans, and its function as a major source of deep and abyss water, make our understanding of the Nordic Seas a crucial element in advancing the knowledge of climate dynamics in the Northern Hemisphere. In this context, its small extent (covering only 0.75% of the area of the world's oceans) and its unique location, which allows for accessibility and detailed exploration, are of special significance. The current book speaks to that significance specifically and also to assessing the region's present and future response to, and influence on, global climate change. It is the first such work since B. G. Hurdle's groundbreaking The Nordic Seas (published in 1986).

Victorian Britain, with its maritime economy and strong links between government and scientific enterprises, founded an office to collect meteorological statistics in 1854 in an effort to foster a modern science of the weather. But as the office turned to prediction rather than data collection, the fragile science became a public spectacle, with its forecasts open to daily scrutiny in the newspapers. And meteorology came to assume a pivotal role in debates about the responsibility of scientists and the authority of science. Studying meteorology as a means to examine the historical identity of prediction, Katharine Anderson offers here an engrossing account of forecasting that analyzes scientific practice and ideas about evidence, the organization of science in public life, and the articulation of scientific values in Victorian culture. In Predicting the Weather, Anderson grapples with fundamental questions about the function, intelligibility, and boundaries of scientific work while exposing the public expectations that shaped the practice of science during this period. A cogent analysis of the remarkable history of weather forecasting in Victorian Britain, Predicting the Weather will be essential reading for scholars interested in the public dimensions of science.

The history of the growth and professionalization of American meteorology and its transformation into a physics- and mathematics-based scientific discipline. For much of the first half of the twentieth century, meteorology was more art than science, dependent on an individual forecaster's lifetime of local experience. In Weather by the Numbers, Kristine Harper tells the story of the transformation of meteorology from a “guessing science” into a sophisticated scientific discipline based on physics and mathematics. What made this possible was the development of the electronic digital computer; earlier attempts at numerical weather prediction had foundered on the human inability to solve nonlinear equations quickly enough for timely forecasting. After World War II, the combination of an expanded observation network developed for military purposes, newly trained meteorologists, savvy about math and physics, and the nascent digital computer created a new way of approaching atmospheric theory and weather forecasting. This transformation of a discipline, Harper writes, was the most important intellectual achievement of twentieth-century meteorology, and paved the way for the growth of computer-assisted modeling in all the sciences.