One challenge in atmospheric chemistry is understanding the intercontinental transport and transformation of gases and aerosols. This book describes observational and modeling techniques used to understand atmospheric composition from satellites, aircraft and ground based platforms. Common ideas presented throughout are the role of each component in an observing system for atmospheric composition, and advances necessary to improve understanding of atmospheric composition.
The book is a collection of the lectures delivered during the 7th International Summer School on Atmospheric and Oceanic Sciences (ISSAOS) titled “Integrated Ground-Based Observing Systems Applications for Climate, Meteorology, and Civil Protection”. Its aim is to contribute to the scientific understanding of basic concepts and applications of integrated ground-based observing systems. The first part describes the most common instrumentations showing their strengths and limitations. Furthermore, strategic plans for the deployment of an observation site are discussed along with an overview of techniques for integrating heterogeneous data. The second part introduces cutting-edge applications, including assimilation in numerical weather prediction, climate benchmarking, air quality monitoring and meteo/hydrological warnings.
Atmospheric Satellite Observations: Variation Assimilation and Quality Assurance provides an invaluable reference for satellite data assimilation. Topics covered include linear algebra, frequently used statistical methods, the interpolation role of function fitting, filtering when dealing with real observations, minimization in data assimilation systems, 3D-Var and the inverse problem it solves, 4D-Var and adjoint techniques, and much more. The book concludes with satellite observation of hurricanes. - Contains mathematical concepts from several branches of study, including calculus, linear algebra, probability theory, functional analysis, and minimization - Illustrates quality assurance for satellite observations using real data examples - Includes a dedicated chapter on how different satellite instruments see hurricanes - Reviews theory, system development, and the numerical experiments of three- and four-dimensional variational data assimilation (3D-Var/4D-Var)
Mathematical modeling of atmospheric composition is a formidable scientific and computational challenge. This comprehensive presentation of the modeling methods used in atmospheric chemistry focuses on both theory and practice, from the fundamental principles behind models, through to their applications in interpreting observations. An encyclopaedic coverage of methods used in atmospheric modeling, including their advantages and disadvantages, makes this a one-stop resource with a large scope. Particular emphasis is given to the mathematical formulation of chemical, radiative, and aerosol processes; advection and turbulent transport; emission and deposition processes; as well as major chapters on model evaluation and inverse modeling. The modeling of atmospheric chemistry is an intrinsically interdisciplinary endeavour, bringing together meteorology, radiative transfer, physical chemistry and biogeochemistry, making the book of value to a broad readership. Introductory chapters and a review of the relevant mathematics make this book instantly accessible to graduate students and researchers in the atmospheric sciences.
This practical handbook provides a clearly structured, concise and comprehensive account of the huge variety of atmospheric and related measurements relevant to meteorologists and for the purpose of weather forecasting and climate research, but also to the practitioner in the wider field of environmental physics and ecology. The Springer Handbook of Atmospheric Measurements is divided into six parts: The first part offers instructive descriptions of the basics of atmospheric measurements and the multitude of their influencing factors, fundamentals of quality control and standardization, as well as equations and tables of atmospheric, water, and soil quantities. The subsequent parts present classical in-situ measurements as well as remote sensing techniques from both ground-based as well as airborn or satellite-based methods. The next part focusses on complex measurements and methods that integrate different techniques to establish more holistic data. Brief discussions of measurements in soils and water, at plants, in urban and rural environments and for renewable energies demonstrate the potential of such applications. The final part provides an overview of atmospheric and ecological networks. Written by distinguished experts from academia and industry, each of the 64 chapters provides in-depth discussions of the available devices with their specifications, aspects of quality control, maintenance as well as their potential for the future. A large number of thoroughly compiled tables of physical quantities, sensors and system characteristics make this handbook a unique, universal and useful reference for the practitioner and absolutely essential for researchers, students, and technicians.
Is the climate warming? Is the hydrological cycle intensifying? Is the climate becoming more variable or extreme? Is the chemical composition of the atmosphere changing? Is the solar irradiance constant? Answers to these questions are fundamental to understanding, predicting, and assessing climate on time scales ranging from weeks to a century. Atmospheric, oceanic, and environmental scientists have primarily relied on an ad-hoc collection of disparate environmental observational and data management systems to address these problems. But these systems were not designed to measure climate variations and, as a result, changes and variations of the earth system during the instrumental climate record is far from unequivocal. This book develops a framework from which a Global Climate Observing System, currently being discussed in international forums, can be implemented to monitor changes and variations of climate. Audience: Administrators, policy makers, professionals, graduate students, and others interested in learning how we can ensure a long-term climate record for application to national economic development and understanding ecosystem dynamics.
