Statistical Downscaling of Atmospheric Variables: for Data-sparse, Glaciated Mountain Sites - Marlis Hofer - Bøger - Südwestdeutscher Verlag für Hochschulsch - 9783838129747 - 15. maj 2012
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Statistical Downscaling of Atmospheric Variables: for Data-sparse, Glaciated Mountain Sites

Marlis Hofer

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Statistical Downscaling of Atmospheric Variables: for Data-sparse, Glaciated Mountain Sites

How much information about local-scale weather can be gained from large-scale atmospheric models? This work investigates downscaling methods for temporally high-resolution, normally distributed target variables. The performed procedures, based on model output statistics, are particularly appropriate when only short-term observations (i.e., few-years) are available. A case study is shown, with air temperature and humidity records from automatic weather stations in the Cordillera Blanca (Peru) representing the target variables, and reanalysis data from different institutions the predictors. The goal is to extend information available from the existing short-term observations into the past, in order to provide a better understanding about high-resolution atmospheric variability in the Cordillera Blanca. In principle, the downscaling techniques are portable to different sites or variables, as long as a few years of observational data are available for training. Yet we recommend their use primarily for skill assessment of large-scale predictors, and the subsequent application of results in impact studies only if high skill is demonstrated.

Medie Bøger     Paperback Bog   (Bog med blødt omslag og limet ryg)
Udgivet 15. maj 2012
ISBN13 9783838129747
Forlag Südwestdeutscher Verlag für Hochschulsch
Antal sider 104
Mål 150 × 6 × 226 mm   ·   173 g
Sprog Tysk