Reanalysis of Historical Climate Data for Key Atmospheric Features: Implications for Attribution of Causes of Observed Chan

作者: Martin Hoerling , Randall M. Dole , Siegfried Schubert

DOI:

关键词: Environmental changeProduct (category theory)Climate change scienceClimate systemGreenhouse gasWeather and climateClimatologyClimate modelAttributionEnvironmental science

摘要: This Climate Change Science Program Synthesis and Assessment Product addresses current capabilities to integrate observations of the climate system into a consistent description past conditions through method reanalysis. In addition, assesses present attribute causes for variations trends over North America during reanalysis period, which extends from mid-twentieth century present. This reviews strengths limitations atmospheric products. It finds that data play crucial role in helping identify, describe, understand features associated with weather variability, including high-impact events such as major droughts floods. Reanalysis an important assessing ability models simulate average its variations. The also help identifying deficiencies representations physical processes produce model errors.

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