Chester F. Ropelewski has fifty years of experience in climate analysis, including weather forecasting, development of climate datasets and real-time monitoring systems, research in atmospheric turbulence, tropical boundary layers, hurricanes, the North American monsoon, sea ice, snow cover, climate variability, El Niño/Southern Oscillation (ENSO), Quasi-Biennial Oscillation, hydrologic cycle, and droughts. He was awarded the Norbert Gerbier-Mumm Award from the World Meteorological Organization in 1990, and elected a Fellow of the American Meteorological Society in 2001. He is the author of over 100 research papers, book chapters and reports. He was Chief of the Analysis Branch of the Climate Prediction Center of the National Oceanic and Atmospheric Administration (NOAA); Director of the Climate Monitoring section of the International Research Institute for Climate and Society at Columbia University; and a Senior Policy Analyst and Advisor of The Earth Institute, Columbia University.
Inhaltsangabe
Foreword Antonio J. Busalacchi, Jr Preface List of abbreviations and acronyms 1. Earth's climate system 2. Climate analysis: goals and methods 3. Climate analysis: atmospheric instruments, observations, and datasets 4. Climate variability 5. Climate change 6. Temperature: building climate datasets 7. Precipitation: combining in-situ and remotely-sensed observations in constructing climate datasets 8. Ocean climate datasets 9. Cryosphere 10. Land component of the climate system 11. Climate models as information sources and analysis tools 12. Operational climate monitoring and prediction Appendix A. A short guide to some statistics used in climate analysis Appendix B. Vorticity/divergence, stream function/velocity potential Appendix C. Preliminary examination of the data Appendix D. Components of the mean water budget Glossary References Index.
Foreword Antonio J. Busalacchi, Jr Preface List of abbreviations and acronyms 1. Earth's climate system 2. Climate analysis: goals and methods 3. Climate analysis: atmospheric instruments, observations, and datasets 4. Climate variability 5. Climate change 6. Temperature: building climate datasets 7. Precipitation: combining in-situ and remotely-sensed observations in constructing climate datasets 8. Ocean climate datasets 9. Cryosphere 10. Land component of the climate system 11. Climate models as information sources and analysis tools 12. Operational climate monitoring and prediction Appendix A. A short guide to some statistics used in climate analysis Appendix B. Vorticity/divergence, stream function/velocity potential Appendix C. Preliminary examination of the data Appendix D. Components of the mean water budget Glossary References Index.
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