For more than three decades, the US Standard Atmosphere has been used by researchers and professionals in many areas of aeronautics and atmospheric sciences. It is an idealized, all season average temperature profile of the earth's atmosphere. But today's modern day and sophisticated global applications require more extensive representations of the mean temperature profile. This book is a global augmentation of the climatological tropospheric temperature profiles in the Northern Hemisphere for different latitude belts and seasons. There are 72 mean temperature profile tables from the surface up to 10 kilometers in height that represent the four seasons for different latitudinal belts (5° N, 10° N , 15° N, 20° N, 25° N, 30° N, 35° N, 40° N, 45° N, 50° N, 55° N, 60° N, 65° N, 70° N, 75° N, 80° N, 85° N). The model is based on a neural network algorithm that uses archived radiosonde data, retrieved temperature profiles from remote sensors, and the solar insolation at the top of the earth's atmosphere. It is the most comprehensive book of mean seasonal tropospheric temperature profiles to date. It will be an indispensible reference to the aeronautic and meteorological industries worldwide as well as an easy-to-use guide for climatologists, meteorologists, aeronautic engineers, researchers and aviators.

A detailed overview of Saturn's formation, evolution and structure written by eminent planetary scientists involved in the Cassini Orbiter mission.

This volume reviews all aspects of Mars atmospheric science from the surface to space, and from now and into the past.

A side-looking infrared radiometer operating in a narrow spectral interval in the 15 micrometers carbon dioxide band was flown on a balloon platform. Data were obtained over the altitude range from 9.4 to 30 km. The resulting radiance measurements are compared with calculations making use of independent rawinsonde measurements obtained during the balloon flight. These comparisons indicate a systematic discrepancy of a few percent at lower altitudes increasing to 20 percent near 20 km. This discrepancy is found to be consistent with a previous study of satellite based radiances. Possible sources of this discrepancy are investigated and rejected, leading the authors to question the assumption that the source function is equal to the Planck intensity.

In response to a request from Congress, Surface Temperature Reconstructions for the Last 2,000 Years assesses the state of scientific efforts to reconstruct surface temperature records for Earth during approximately the last 2,000 years and the implications of these efforts for our understanding of global climate change. Because widespread, reliable temperature records are available only for the last 150 years, scientists estimate temperatures in the more distant past by analyzing "proxy evidence," which includes tree rings, corals, ocean and lake sediments, cave deposits, ice cores, boreholes, and glaciers. Starting in the late 1990s, scientists began using sophisticated methods to combine proxy evidence from many different locations in an effort to estimate surface temperature changes during the last few hundred to few thousand years. This book is an important resource in helping to understand the intricacies of global climate change.

The book we have at hand is the fourth monograph I wrote for Springer Verlag. The previous one named "Self-Organization and Associative Mem ory" (Springer Series in Information Sciences, Volume 8) came out in 1984. Since then the self-organizing neural-network algorithms called SOM and LVQ have become very popular, as can be seen from the many works re viewed in Chap. 9. The new results obtained in the past ten years or so have warranted a new monograph. Over these years I have also answered lots of questions; they have influenced the contents of the present book. I hope it would be of some interest and help to the readers if I now first very briefly describe the various phases that led to my present SOM research, and the reasons underlying each new step. I became interested in neural networks around 1960, but could not in terrupt my graduate studies in physics. After I was appointed Professor of Electronics in 1965, it still took some years to organize teaching at the uni versity. In 1968 - 69 I was on leave at the University of Washington, and D. Gabor had just published his convolution-correlation model of autoasso ciative memory. I noticed immediately that there was something not quite right about it: the capacity was very poor and the inherent noise and crosstalk were intolerable. In 1970 I therefore sugge~ted the auto associative correlation matrix memory model, at the same time as J.A. Anderson and K. Nakano.

A one stop, comprehensive textbook, covering the three essential components of air pollution science. The Third Edition has been updated with the latest developments, especially the inclusion of new information on the role of air pollutants in climate change. The authors give greater coverage to the developing economies around the world where air pollution problems are on the rise. The Third Edition continues to cover a wide range of air quality issues, retaining a quantitative perspective. Topics covered include - gaseous and particulate air pollutants, measurement techniques, meteorology and dispersion modelling, mobile sources, indoor air, effects on plants, materials, humans and animals. Moving away from classical toxic air pollutants, there is a chapter on climate change and another on the depletion of stratospheric ozone. A special feature of this new edition is the inclusion of a fresh chapter on air pollution mitigation by vegetation, mainly its role in maintaining a sustainable urban environment. Recommended for upper-level undergraduate and postgraduate courses specialising in air pollution, both for environmental scientists and engineers. The new material included in the Third Edition extends its use by practitioners in consultancies or local authorities.

Since the publication of the first volume “Infrasound monitoring for atmospheric studies” published in 2010, significant advances were achieved in the fields of engineering, propagation modelling, and atmospheric remote sensing methods. The global infrasound network, which consists of the International Monitoring Network (IMS) for nuclear test ban verification completed by an increasing number of regional cluster arrays deployed around the globe, has evidenced an unprecedented potential for detecting, locating and characterizing various natural and man-made sources. In recent years, infrasound has evolved into a broad interdisciplinary field encompassing academic disciplines of geophysics and innovative technical and scientific developments. The advances in innovative ground-based instruments, including infrasound inversions for continuous observations of the stratosphere and mesosphere, provide useful insights into the geophysical source phenomenology and atmospheric processes involved. Systematic investigations into low-frequency infrasound signals and the development of complementary observational platforms point out new insights into the dynamics of the middle atmosphere which play a significant role in both tropospheric weather and climate. This monitoring system also provides continuous relevant information about natural hazards with high societal benefits, like on-going volcanic eruptions, surface earthquakes, meteorites or severe weather. With this new edition, researchers and students benefit from a comprehensive content of both fundamental and applied inter-disciplinary topics.

This book, presented in three volumes, examines environmental disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.