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Use of WRF result as meteorological input to DNDC model for greenhouse gas flux simulation
Abstract Continuous evolution of biogeochemical models developed in the past decades makes possible the more and more accurate estimation of trace and greenhouse gas fluxes of soils. Due to the detailed meteorological, soil, biological and chemical processes the modeled fluxes are getting closer and closer to the real values. For appropriate evaluation models need large amount of input data. In this paper we have investigated how to build an easily accessible meteorological input data source for biogeochemical models, as it is one of the most important input data sets that is either missing or difficult to get from meteorological networks. The DNDC ecological model was used for testing the WRF numerical weather prediction system as a potential data source. The reference dataset was built by numerical interpolation based on measured data. The average differences between the modeled output data using WRF and observed meteorological data in 2009 and 2010 are less than 3.98 ± 1.6; 8.68 ± 6.72 and 6.5 ± 2.17 per cent for CO2, N2O and CH4, respectively, for the test years. Generalization of the results for other regions is restricted, however this work encourages others to examine the applicability of WRF data instead of observed climate parameters.
Highlights Biogeochemical models (like DNDC) use a large amount of input meteorological data. Meteorological data are sometimes missing or restricted to access. We tried the possible use of input data by WRF model for N2O, CH4, and CO2 fluxes. Fluxes calculated using WRF and observed input data agree within 10 per cent.
Use of WRF result as meteorological input to DNDC model for greenhouse gas flux simulation
Abstract Continuous evolution of biogeochemical models developed in the past decades makes possible the more and more accurate estimation of trace and greenhouse gas fluxes of soils. Due to the detailed meteorological, soil, biological and chemical processes the modeled fluxes are getting closer and closer to the real values. For appropriate evaluation models need large amount of input data. In this paper we have investigated how to build an easily accessible meteorological input data source for biogeochemical models, as it is one of the most important input data sets that is either missing or difficult to get from meteorological networks. The DNDC ecological model was used for testing the WRF numerical weather prediction system as a potential data source. The reference dataset was built by numerical interpolation based on measured data. The average differences between the modeled output data using WRF and observed meteorological data in 2009 and 2010 are less than 3.98 ± 1.6; 8.68 ± 6.72 and 6.5 ± 2.17 per cent for CO2, N2O and CH4, respectively, for the test years. Generalization of the results for other regions is restricted, however this work encourages others to examine the applicability of WRF data instead of observed climate parameters.
Highlights Biogeochemical models (like DNDC) use a large amount of input meteorological data. Meteorological data are sometimes missing or restricted to access. We tried the possible use of input data by WRF model for N2O, CH4, and CO2 fluxes. Fluxes calculated using WRF and observed input data agree within 10 per cent.
Use of WRF result as meteorological input to DNDC model for greenhouse gas flux simulation
Grosz, B. (author) / Horváth, L. (author) / Gyöngyösi, A.Z. (author) / Weidinger, T. (author) / Pintér, K. (author) / Nagy, Z. (author) / André, K. (author)
Atmospheric Environment ; 122 ; 230-235
2015-09-21
6 pages
Article (Journal)
Electronic Resource
English
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