Data Intercomparison Theory


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Forecast Verification


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This handy reference introduces the subject of forecastverification and provides a review of the basic concepts,discussing different types of data that may be forecast. Each chapter covers a different type of predicted quantity(predictand), then looks at some of the relationships betweeneconomic value and skill scores, before moving on to review the keyconcepts and summarise aspects of forecast verification thatreceive the most attention in other disciplines. The book concludes with a discussion on the most importanttopics in the field that are the subject of current research orthat would benefit from future research. An easy to read guide of current techniques with real life casestudies An up-to-date and practical introduction to the differenttechniques and an examination of their strengths andweaknesses Practical advice given by some of the world?s leadingforecasting experts Case studies and illustrations of actual verification and itsinterpretation Comprehensive glossary and consistent statistical andmathematical definition of commonly used terms




Models and Measurements Intercomparison II


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Models and measurements intercomparison II (MM II) summarizes the intercomparison results from model simulations and observations of stratospheric species. Representatives from 23 modeling groups using 29 models participated in these MM II excercises between 1996 and 1999. Twelve of the models were two-dimensional zonal-mean models while 17 were three-dimensional models. This was an international effort as seven were from outside the U.S.A. Six transport experiments and five chemistry experiments were designed for various models. Models participating in the transport experiments performed simulations of chemically inert tracers providing diagnostics for transport. The chemistry experiments involved simulating the distributions of chemically active trace gases including ozone.




Data Intercomparison Theory


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Annual Report


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