Journal Article

FZJ-2017-04172

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Mesoscale simulations of atmospheric CO2 variations using a high-resolution model system with process-based CO2 fluxes

Uebel, M. (Corresponding author) ; Herbst, M.FZJ* ; Bott, A.

2017
Wiley Weinheim [u.a.]

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Please use a persistent id in citations: http://hdl.handle.net/2128/14799  doi:10.1002/qj.3047

Abstract: A new coupled high-resolution biosphere–atmospheremodel (TerrSysMP-CO2) is appliedto simulate mesoscale and diurnal variations of atmospheric CO2 mixing ratios. The modelis characterized by process-based parametrization calculating atmospheric dynamics andbiogenic processes considering the prognostically varying CO2 content at the surface. Anadvanced parametrization of soil respiration is used distinguishing between heterotrophicand autotrophic respiration and explicitly considering the effect of varying soil moisture.In addition to biogenic CO2 fluxes, high-resolution anthropogenic emissions are includedin the simulations.The model performance is verified with eddy-covariance fluxes and meteorologicaland CO2 concentration measurements at various heights of a tower. It is found that acorrect representation of turbulent mixing is most critical for a precise prediction of nearsurfaceCO2 mixing ratios and respective vertical gradients. High-resolution simulationswere performed for a region with complex terrain, heterogeneous land use and denselypopulated areas. The relative influence of diverse land use, orography as well as of synopticand mesoscale transport on the spatio-temporal CO2 distribution is analyzed. The resultsindicate that, in regions with hilly terrain at night and in the morning, the CO2 patterns arestrongly influenced by terrain-induced local circulations. Moreover, in densely populatedregions, fossil fuel emissions are an important source of atmospheric CO2 . Finally, thesimulated canopy fluxes and atmospheric conditions, calculated using two different cropphysiological parameter sets, are compared.

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Contributing Institute(s):

1. Agrosphäre (IBG-3)

Research Program(s):

1. 255 - Terrestrial Systems: From Observation to Prediction (POF3-255) (POF3-255)

Appears in the scientific report 2017

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Database coverage:
; ; ; Current Contents - Physical, Chemical and Earth Sciences ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection

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