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Technical Note: a New Coupled System for Global-to-regional Downscaling of Co2 Concentration Estimation : Volume 9, Issue 6 (02/11/2009)

By Trusilova, K.

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Book Id: WPLBN0003990098
Format Type: PDF Article :
File Size: Pages 24
Reproduction Date: 2015

Title: Technical Note: a New Coupled System for Global-to-regional Downscaling of Co2 Concentration Estimation : Volume 9, Issue 6 (02/11/2009)  
Author: Trusilova, K.
Volume: Vol. 9, Issue 6
Language: English
Subject: Science, Atmospheric, Chemistry
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Heimann, M., Gerbig, C., Rödenbeck, C., & Trusilova, K. (2009). Technical Note: a New Coupled System for Global-to-regional Downscaling of Co2 Concentration Estimation : Volume 9, Issue 6 (02/11/2009). Retrieved from

Description: Max-Planck Institute for Biogeochemistry, Hans-Knoell Str. 10, 07745 Jena, Germany. We introduce a global-to-regional nesting scheme for atmospheric transport models that are used for simulating concentrations of green house gases from globally distributed surface fluxes. The coupled system of the regional Stochastic Time-Inverted Lagrangian Transport (STILT) model and the global atmospheric transport model (TM3) is designed to resolve atmospheric trace gas concentrations at high temporal and spatial resolutions in a specified domain e.g. for regional inverse applications. The nesting technique used for the coupling is based on a decomposition of the atmospheric concentration signal into a far-field and a near-field contribution that allows global and regional models being of different type, i.e. Eulerian (grid) and Lagrangian (trajectory). For illustrating the performance of the coupled TM3-STILT system we compare simulated mixing ratios of carbon dioxide with available observations at 10 sites in Europe. For all chosen sites the TM3-STILT provided higher correlations between the modelled and the measured time series than the TM3 global model. The autocorrelation analysis showed that in contrast to the global model TM3-STILT model is capable to represent the variability of the measured tracer concentrations.

Technical Note: A new coupled system for global-to-regional downscaling of CO2 concentration estimation

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