000014523 001__ 14523
000014523 005__ 20200702121547.0
000014523 0247_ $$2DOI$$a10.2136/vzj2009.0157
000014523 0247_ $$2WOS$$aWOS:000287573300017
000014523 037__ $$aPreJuSER-14523
000014523 041__ $$aeng
000014523 082__ $$a550
000014523 084__ $$2WoS$$aEnvironmental Sciences
000014523 084__ $$2WoS$$aSoil Science
000014523 084__ $$2WoS$$aWater Resources
000014523 1001_ $$0P:(DE-Juel1)VDB17057$$aWeihermüller, L.$$b0$$uFZJ
000014523 245__ $$aErrors in modelling carbon turnover induced by temporal temperature aggregation
000014523 260__ $$aMadison, Wis.$$bSSSA$$c2011
000014523 300__ $$a195 - 205
000014523 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
000014523 3367_ $$2DataCite$$aOutput Types/Journal article
000014523 3367_ $$00$$2EndNote$$aJournal Article
000014523 3367_ $$2BibTeX$$aARTICLE
000014523 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000014523 3367_ $$2DRIVER$$aarticle
000014523 440_0 $$010301$$aVadose Zone Journal$$v10$$x1539-1663$$y1
000014523 500__ $$3POF3_Assignment on 2016-02-29
000014523 500__ $$aWe would like to thank Horst Hardelauf for the modifications of the RothC/SOILCO2 code and Jan Vanderborght for the fruitful discussions. This research was supported by the German Research Foundation DFG (Transregional Collaborative Research Centre 32-Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modelling, and Data Assimilation).
000014523 520__ $$aModeling of C turnover is a common tool for the prediction of C stocks and CO2 efflux. It is well recognized that the choice of the input data (e. g., C pool sizes, hydraulic parameters, atmospheric boundary conditions) determines the outcome of these prediction. Temperature is known to be one of the most important driving factors and it varies in a range of temporal scales. Typically, the time discretization of most models is flexible and can range from minutes to months. However, the implications of variable time discretization for predicted soil C turnover are seldom discussed. In this study, we demonstrated that averaging of input temperature data will lead to changes in predicted C turnover in terms of daily amplitude and the impact of extreme temperatures. The results indicate that averaging from hourly to daily or monthly temperatures will lead to relative errors >4% yr(-1) for cumulative CO2 efflux. Instantaneous CO2 fluxes are even more affected, where daily and monthly averaging will lead to estimation errors exceeding 20%. We also show that a constant or daily variable temperature amplitude for rescaling daily average temperature did not decrease the error when using daily or monthly mean temperature instead of hourly data. Therefore, instantaneous fluxes are only accurately predicted when hourly temperature input is used. For long-term modeling (e.g., years to centuries), the relative error in cumulative efflux, and therefore in C stocks loss, is reasonably low (similar to 4-5% annual error) but will accumulate with time again.
000014523 536__ $$0G:(DE-Juel1)FUEK407$$2G:(DE-HGF)$$aTerrestrische Umwelt$$cP24$$x0
000014523 588__ $$aDataset connected to Web of Science
000014523 650_7 $$2WoSType$$aJ
000014523 7001_ $$0P:(DE-Juel1)129472$$aHuisman, J.A.$$b1$$uFZJ
000014523 7001_ $$0P:(DE-Juel1)129461$$aGraf, A.$$b2$$uFZJ
000014523 7001_ $$0P:(DE-Juel1)129469$$aHerbst, M.$$b3$$uFZJ
000014523 7001_ $$0P:(DE-Juel1)129549$$aVereecken, H.$$b4$$uFZJ
000014523 773__ $$0PERI:(DE-600)2088189-7$$a10.2136/vzj2009.0157$$gVol. 10, p. 195 - 205$$p195 - 205$$q10<195 - 205$$tVadose zone journal$$v10$$x1539-1663$$y2011
000014523 8567_ $$uhttp://dx.doi.org/10.2136/vzj2009.0157
000014523 909CO $$ooai:juser.fz-juelich.de:14523$$pVDB$$pVDB:Earth_Environment
000014523 9131_ $$0G:(DE-Juel1)FUEK407$$bErde und Umwelt$$kP24$$lTerrestrische Umwelt$$vTerrestrische Umwelt$$x0
000014523 9132_ $$0G:(DE-HGF)POF3-259H$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lTerrestrische Umwelt$$vAddenda$$x0
000014523 9141_ $$y2011
000014523 915__ $$0StatID:(DE-HGF)0010$$aJCR/ISI refereed
000014523 9201_ $$0I:(DE-Juel1)IBG-3-20101118$$gIBG$$kIBG-3$$lAgrosphäre$$x0
000014523 970__ $$aVDB:(DE-Juel1)126704
000014523 980__ $$aVDB
000014523 980__ $$aConvertedRecord
000014523 980__ $$ajournal
000014523 980__ $$aI:(DE-Juel1)IBG-3-20101118
000014523 980__ $$aUNRESTRICTED