A comparison of Gridded Quantile Mapping vs. Station Based Downscaling Approaches on Potential Hydrochemical Responses of Forested Watersheds to Climate Change Using a Dynamic Biogeochemical Model (PnET-BGC)

Afshin Pourmokhatarian, Charles Driscoll, John Campbell, Katharine Hayhoe

Research output: Contribution to conferencePaper

Abstract

Dynamic hydrochemical models are useful tools to understand and predict the interactive effects of climate change, atmospheric CO2, and atmospheric deposition on the hydrology and water quality of forested watersheds. Although application of these models for climate projections necessitates the use of climatic variables simulated by atmosphere-ocean general circulation models (AOGCMs) to determine inputs to drive model projections. Due to the coarse resolution of AOGCMs, outputs need to be downscaled to bridge the gap between coarse spatial resolution and higher resolution required for hydrochemical models. This research compares two different statistical downscaling approaches; Gridded Quantile Mapping (BCSD) and Station-based Daily Asynchronous Regression, and their effects on potential biogeochemical responses of forested watershed. In this study, we used the biogeochemical model, PnET-BGC, to assess, compare and contrast the effects of these two downscaling approaches on potential
Original languageEnglish
StatePublished - Dec 6 2012

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