The implication of input data aggregation on up-scaling soil organic carbon changes
Grosz, Balazs; Dechow, Rene; Gebbert, Soeren; Hoffmann, Holger; Zhao, Gang; Constantin, Julie; Raynal, Helene; Wallach, Daniel; Coucheney, Elsa; Lewan, Elisabet; Eckersten, Henrik; Specka, Xenia; Kersebaum, Kurt-Christian; Nendel, Claas; Kuhnert, Matthias; Yeluripati, Jagadeesh; Haas, Edwin; Teixeira, Edmar; Bindi, Marco; Trombi, Giacomo; Moriondo, Marco; Doro, Luca; Roggero, Pier Paolo; Zhao, Zhigan; Wang, Enli; Tao, Fulu; Rotter, Reimund; Kassie, Belay; Cammarano, Davide; Asseng, Senthold; Weihermuller, Lutz; Siebert, Stefan; Gaiser, Thomas; Ewert, Frank (2017)
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Grosz, Balazs
Dechow, Rene
Gebbert, Soeren
Hoffmann, Holger
Zhao, Gang
Constantin, Julie
Raynal, Helene
Wallach, Daniel
Coucheney, Elsa
Lewan, Elisabet
Eckersten, Henrik
Specka, Xenia
Kersebaum, Kurt-Christian
Nendel, Claas
Kuhnert, Matthias
Yeluripati, Jagadeesh
Haas, Edwin
Teixeira, Edmar
Bindi, Marco
Trombi, Giacomo
Moriondo, Marco
Doro, Luca
Roggero, Pier Paolo
Zhao, Zhigan
Wang, Enli
Tao, Fulu
Rotter, Reimund
Kassie, Belay
Cammarano, Davide
Asseng, Senthold
Weihermuller, Lutz
Siebert, Stefan
Gaiser, Thomas
Ewert, Frank
Julkaisusarja
Environmental modelling & software
Volyymi
96
Sivut
361-377
Elsevier
2017
Tiivistelmä
In up-scaling studies, model input data aggregation is a common method to cope with deficient data availability and limit the computational effort. We analyzed model errors due to soil data aggregation for modeled SOC trends. For a region in North West Germany, gridded soil data of spatial resolutions between 1 km and 100 km has been derived by majority selection. This data was used to simulate changes in SOC for a period of 30 years by 7 biogeochemical models. Soil data aggregation strongly affected modeled SOC trends. Prediction errors of simulated SOC changes decreased with increasing spatial resolution of model output. Output data aggregation only marginally reduced differences of model outputs between models indicating that errors caused by deficient model structure are likely to persist even if requirements on the spatial resolution of model outputs are low. (C)2017 Elsevier Ltd. All rights reserved.
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