Tag Archives: aggregation effects

input data aggregation

Crop models are often developed and calibrated at the field scale. Using model input data (climate, soil, management, etc.) of coarser resolution may lead to biased results. These so-called aggregation effects are investigated by the MACSUR scaling group. The relevance of aggregating for instance climate, soil or management is estimated for a range of crops, crop models, production situations and variables (yield, biomass, LAI, soil moisture, evapotranspiration, phenology, NPP, NEE, soil organic carbon, N2O-emmissions, NO3-leaching, etc.). These input data domains are adressed at different stages of MACSUR:

  • phase 1: investigates the impact of using spatially aggregated climate data as input for crop models
  • phase 2: investigate the impact of using spatially aggregated climate and soil data as input for crop models
  • phase 3: investigates the interaction of spatial input data aggregation and management rules

 

Further reading

Variability of aggregation effects of climate data on regional yield simulation by crop models

authors: Holger Hofmann, Gang Zhao, Lenny van Bussel, Andreas Enders, Xenia Specka, Carmen Sosa, Jagadeesh Yeluripati, Fulu Tao, Julie Constantin, Helene Raynal, Edmar Teixeira, Balázs Grosz, Luca Doro, Zhigan Zhao, Enli Wang,  Claas Nendel, Kurt-Christian Kersebaum, Edwin Haas, Ralf Kiese, Steffen Klatt, Henrik Eckersten,  Eline Vanuytrecht, Matthias Kuhnert, Elisabet Lewan,  Reimund Rötter, Pier Paolo Roggero, Daniel Wallach, Davide Cammarano, Senthold Asseng, Gunther Krauss, Stefan Siebert, Thomas Gaiser, Frank Ewert.

abstract: Field-scale crop models can be applied at different spatial resolutions but little is known on the response of models to input data aggregation and why these responses can differ across models.  We therefore evaluated 13 crop models which were supplied with climate input data of different  spatial aggregation. Spatial resolution of climate input data ranged from 1 to 100 km raster and was  used with two crops (winter wheat and silage maize) and three production situations (potential, water  limited  and  nitrogen-water-limited  growth)  to  improve  the  understanding  of  errors  in  model  simulations related to data aggregation and possible interactions with the model structure. The most  important climate variables identified to determining the model-specific input data aggregation on  simulated yields (aggregation effects) were mainly related to changes in radiation (winter wheat) and  temperature (silage maize). Additionally, aggregation effects were systematic since models differed in  the systematic fraction of the aggregation effect, regardless of the extent of the effect (20 to 66 % as  compared to 1.7 % for random effects). Climate input data aggregation changed the mean simulated  yield over the region up to 0.2 t ha -1 , whereas simulated yields from single years and models differed  considerably depending on the data aggregation. This implies that large-scale crop yield simulations
are  robust  on  average  but  can  be systematically  biased  at  higher  temporal or  spatial  resolutions,  depending on the model and its parametrization.

journal: Climate Research

publications

peer review journal

Coucheney E, Eckersten H, Hoffmann H, Jansson PE, Gaiser T, Ewert F, Lewan E. 2018. Key functional soil types explain data aggregation effects on simulated yield, soil carbon, drainage and nitrogen leaching at a regional scale. Geoderma 318, 167-181.

Klosterhalfen A, Herbst M, Weihermüller L, Graf A, Schmidt M, Stadler A, Schneider K Subke J-A Huisman JA Vereecken H. 2017. Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands. Ecological Modelling 363, 137–156.

Grosz B, Dechow R, Gebbert S, Hoffmann H, Zhao G, Constantin J, Raynal H, Wallach D, Sosa C, Lewan E, Eckersten H, Specka X, Kersebaum K-C, Nendel C, Kuhnert M, Yeluripati J, Kiese R, Haas E, Klatt S, Teixeira E, Bindi M, Trombi G, Moriondo M, Doro L, Roggero PP, Zhao Z, Wang E, Vanuytrecht E, Tao F, Rötter R, Cammarano D, Asseng S, Weihermüller L, Siebert S, Gaiser T, Ewert F. 2017. The implication of input data aggregation on up-scaling soil organic carbon changes. Environ Modell Softw 96, 361-377.

Hoffmann H, Baranowski P, Krzyszczak J, Zubik M, Slawinski C, Gaiser T, Ewert F. 2017. Temporal properties of spatially aggregated meteorological time series. Agr Forest Meteorol 234-235, 247-257.

Kuhnert M, Yeluripati J, Smith P, Hoffmann H, Van Oijen M, Constantin J, Dechow R, Eckersten,  H, Gaiser T, Grosz B, Haas E, Kersebaum K-C, Kiese R, Klatt S, Lewan E, Nendel C,  Raynal H, Sosa C, Specka X, Teixeira E, Wang E, Weihermüller L, Zhao G, Zhao Z, Ewert F, 2017. Impact analysis of climate data aggregation at different spatial scales on simulated Net Primary Productivity for croplands. Eur J Agronom 88, 41-52.

Zhao G, Hoffmann H, Yeluripati J, Specka X, Nendel C, Coucheney E, Kuhnert M, Tao F, Constantin J, Raynal H, Teixeira E, Grosz B, Doro L, Kiese R, Eckersten H, Haas E, Cammarano D, Kassie B, Moriondo M, Trombi G, Bindi M, Lewan E, Kersebaum K-C, Rötter R, Roggero PP, Wallach D, Asseng S, Siebert S, Gaiser T, Ewert F, 2016.  Evaluation of the accuracy of eight spatial sampling schemes in selecting sites for simulating regional crop yields. Environ Modell Softw 80, 100-112.

Van Bussel LGJ, Ewert F, Zhao G, Hoffmann H, Enders A, Wallach D, Constantin J, Raynal H, Klein C, Biernath C, Heinlein F, Priesack E, Tao F, Rötter R, Cammarano D, Asseng S, Elliott J, Glotter M, Nendel C, Kersebaum K-C, Specka X, Basso B, Baigorria G, Romero C,  Chryssanthacopoulos J, 2016. Spatial sampling of weather data for regional crop yield simulations. Agr For Met 220, 101-115.

Hoffmann H, Zhao G, Asseng S, Bindi M, Biernath C, Constantin J, Coucheney E, Dechow R, Doro L, Eckersten H, Gaiser T, Grosz B, Heinlein F, Kassie BT, Kersebaum K-C, Klein C, Kuhnert M, Lewan E, Moriondo M, Nendel C, Priesack E, Raynal H, Roggero PP, Rötter RP, Siebert S, Specka X, Tao F, Teixeira E, Trombi G, Wallach D, Weihermüller L, Yeluripati J, Ewert F,  2016. Impact of spatial soil and climate input data aggregation on regional yield simulations. PLoS ONE 11(4): e0151782. doi:10.1371/journal.pone.0151782

Zhao G, Hoffmann H, Van Bussel LGJ, Enders A, Specka X, Sosa C, Yeluripati J, Tao F,  Constantin J, Raynal H, Teixeira E, Grosz B, Doro L, Zhao Z, Nendel C, Kiese R, Eckersten H, Haas E, Vanuytrecht E, Wang E, Kuhnert M, Trombi G, Moriondo M, Bindi M, Lewan E, Bach M, Kersebaum K-C, Rötter R, Roggero PP, Wallach D, Cammarano D, Asseng S, Krauss G, Siebert S, Gaiser T, Ewert F, 2015. Effect of weather data aggregation on regional crop simulation for  different crops, production conditions, and response variables. Clim Res 65, 141-157.

Hoffmann H, Zhao G, Van Bussel LGJ, Enders A, Specka X, Sosa C, Yeluripati J, Tao F, Constantin C, Raynal H, Teixeira E, Grosz B, Doro L, Zhao Z, Wang E, Nendel C, Kersebaum K-C, Haas E, Kiese R, Klatt S, Eckersten H, Vanuytrecht E, Kuhnert M, Lewan E, Rötter R, Roggero PP, Wallach D, Cammarano D, Asseng S, Krauss G, Siebert S, Gaiser T, Ewert F, 2015. Variability  of  effects  of  spatial climate  data  aggregation on  regional  yield simulation by crop models. Clim Res 65, 53-69.

Ewert F, Van Ittersum MK, Heckelei T, Therond O, Bezlepkina I, Andersen E, 2011. Scale changes and model linking methods for integrated assessment of agri-environmental systems. Agr Ecosyst Environ 142, 6 – 17.

book chapter

Ewert F, Van Bussel LGJ, Zhao G, Hoffmann H, Gaiser T, Specka X, Nendel C, Kersebaum K-C, Sosa C, Lewan E,  Yeluripati J,  Kuhnert M, Tao F, Rötter RP, Constantin J, Raynal H, Wallach D, Teixeira E, Grosz, Bach M, Doro L,  Roggero PP, Zhao Z, Wang E, Kiese R, Haas E, Eckersten H, Trombi G, Bindi M, Klein C, Biernath C, Heinlein F, Priesack E, Cammarano D, Asseng S, Elliott J, Glotter M, Basso B,  Baigorria GA, Romero CC, Moriondo M, 2015. Uncertainties in Scaling up Crop Models for Large Area Climate-change Impact Assessments. In C. Rosenzweig and D. Hillel, editors. Handbook of Climate Change and Agroecosystems: The Agricultural Model Intercomparison and Improvement Project (AgMIP). World Scientific Publishing Company, pp. 262-277.

 

conference contributions

Coucheney E, Villa Solis A, Eckersten H, Hoffmann H, Jansson PE, Gaiser T, Ewert F, Lewan E, 2017. Spatial aggregation for crop modelling at regional scales: the effects of soil variability. EGU2017-14113

Hoffmann H, Kersebaum K-C, Zhao G, Asseng S, Bindi M, Cammarano D, Constantin J, Coucheney E, Dechow R, Doro L, Eckersten H, Gaiser T, Grosz B, Haas E, Kassie B, Kiese R, Klatt S, Kuhnert M, Lewan E, Moriondo M, Nendel C, Raynal H, Roggero PP, Rötter R, Siebert S, Sosa C, Specka X, Tao F, Teixeira E, Trombi G, Yeluripati J, Vanuytrecht E, Wallach D, Wang E, Weihermüller L, Zhao Z, Ewert F, 2016. Data aggregation effects in regional yield simulations. ASA. Phoenix, USA. (accepted)

Hoffmann H, Zhao G, Asseng S, Bindi M, Cammarano D, Constantin J, Coucheney E, Dechow R, Doro L, Eckersten H, Gaiser T, Grosz B, Haas E, Kassie B, Kersebaum K-C, Kiese R, Klatt S, Kuhnert M, Lewan E, Moriondo M, Nendel C, Raynal H, Roggero PP, Rötter R, Siebert S, Sosa C, Specka X, Tao F, Teixeira E, Trombi G, Yeluripati J, Vanuytrecht E, Wallach D, Wang E, Weihermüller L, Zhao Z, Ewert F, 2016. Soil data aggregation effects in regional yield simulations. Global AgMIP Workshop. Montpellier, France.

Kuhnert M,  and the MACSUR scaling group Team, 2016. Impact of climate aggregation over different scales on regional NPP modelling. EGU. Vienna, Austria. Geophysical Research Abstracts 18,  EGU2016-15736.

Hoffmann H, Baranowski P, Krzyszczak J, Zubik M. 2016. Effect of spatial averaging on multifractal properties of meteorological time series. EGU, Vienna, Austria. Geophys Res Abstracts 18,  EGU2016-16658.

Kuhnert M, Yeluripati J, Smith P, Hoffmann H, Constantin J, Coucheney E, Dechow R, Eckersten H, Gaiser T, Grosz B, Haas E, Kersebaum K-C, Kiese R, Klatt S, Lewan E, Nendel C, Raynal H, Sosa C, Specka X, Teixeira E,  Wang E, Weihermüller L, Zhao G , Zhao Z, Ewert F, 2016 Impacts of soil and weather data aggregation in spatial modelling of net primary production of croplands. iCROPM. Berlin, Germany.

Kuhnert M, Yeluripati J, Smith P, Hoffmann H, van Oijen, M, Constantin J, Coucheney E, Dechow R, Eckersten H, Gaiser T, Grosz B, Haas E, Kersebaum K-C, Kiese R, Klatt S, Lewan E, Nendel C, Raynal H, Sosa C, Specka X, Teixeira E,  Wang E, Weihermüller L, Zhao G , Zhao Z, Ogle, S, Ewert F, 2016 Effects of climate data aggregation on regional net primary production (NPP) modelling, 8th International Congress on Environmental Modelling and Software, Toulouse, France

Constantin J, Bergez J-E, Raynal H, Hoffmann H, Ewert F, 2016. Impact of maize management variability modeled as decision rules on yield and Drainage at the regional scale. iCROPM. Berlin, Germany.

Coucheney E, Eckersten H, Jansson PE, Ewert F, Gaiser T, Hoffmann H, Lewan E, 2016. The role of spatial pattern of soil types for data aggregation effects in crop modelling. iCROPM. Berlin, Germany.

Grosz B, Dechow R, Hoffmann H, Zhao G, Constantin J, Raynal H, Wallach D, Coucheney E, Lewan E, Eckersten H, Specka X, Kersebaum K-C, Nendel C, Kuhnert M, Yeluripati J, Kiese R, Haas E, Klatt S, Teixeira E, Bindi M, Trombi G, Moriondo M, Doro L, Roggero PP, Zhao Z, Wang E, Tao F, Rötter R, Cammarano D, Asseng S, Weihermüller L, Siebert S, Gaiser T, Ewert F, 2016. Implications of input data aggregation on upscaling of soil organic carbon changes. iCROPM. Berlin, Germany.

Hoffmann H, Zhao G, Asseng S, Bindi M, Cammarano D, Constantin J, Coucheney E, Dechow R, Doro L, Eckersten H, Gaiser T, Grosz B, Haas E, Kassie B, Kersebaum K-C, Kiese R, Klatt S, Kuhnert M, Lewan E, Moriondo M, Nendel C, Raynal H, Roggero PP, Rötter R, Siebert S, Sosa C, Specka X, Tao F, Teixeira E, Trombi G, Yeluripati J, Vanuytrecht E, Wallach D, Wang E, Weihermüller L, Zhao Z, Ewert F, 2016. Analysing data aggregation effects on large-scale yield simulations. iCROPM2016. Berlin, Germany.

Baranowski P, Krzyszczak J, Hoffmann H, Sławiński C, 2016. Multifractal properties of spatially aggregated meteorological data – a regional study. iCROPM2016. Berlin, Germany.

Hoffmann H, Zhao G, Gaiser T, Ewert F, 2015. Analyse von Aggregierungsmethoden für großskalige Ertragssimulationen. 58. Jahrestagung der Gesellschaft für Pflanzenbauwiss., Braunschweig, Germany. Mitt. Ges. Pflanzenbauwiss. 27: 69-70.

Kuhnert M,  Yeluripati J, Smith P, Hoffmann H, Zhao G, Constantin J, Raynal H, Wallach D, Coucheney E, Lewan E, Eckersten H, Specka X, Kersebaum K-C, Nendel C, Grosz B, Dechow R, Kiese R, Haas E, Klatt S, Teixeira E, Bindi M, Trombi G, Moriondo M, Doro L, Roggero PP, Zhao Z, Wang E, Vanuytrecht E, Tao F, Rötter R, Cammarano D, Asseng S, Weihermüller L, Siebert S, Gaiser T, Ewert F, 2015. Impact of climate aggregation over different scales on regional NPP modelling. MACSUR Science Conference. Reading, UK.

Haas E, Kiese R, Klatt S, Hoffmann H, Zhao G, Constantin J, Raynal H, Wallach D, Sosa C, Lewan E, Eckersten H, Specka X, Kersebaum K-C, Nendel C, Kuhnert M, Yeluripati J, Grosz B, Dechow R, Teixeira E, Bindi M, Trombi G, Moriondo M, Doro L, Roggero PP, Zhao Z, Wang E, Vanuytrecht E, Tao F, Rötter R, Cammarano D, Asseng S, Weihermüller L, Siebert S, Gaiser T, Ewert F, 2015. Responses of N2O emissions and nitrate leaching on climate Input data aggregation: a biogeochemistry model ensemble study. MACSUR Science Conference. Reading, UK.

Grosz B, Dechow R, Hoffmann H, Zhao G, Constantin J, Raynal H, Wallach D, Coucheney E, Lewan E, Eckersten H, Specka X, Kersebaum K-C, Nendel C, Kuhnert M, Yeluripati J, Kiese R, Haas E, Klatt S, Teixeira E, Bindi M, Trombi G, Moriondo M, Doro L, Roggero PP, Zhao Z, Wang E, Vanuytrecht E, Tao F, Rötter R, Cammarano D, Asseng S, Weihermüller L, Siebert S, Gaiser T, Ewert F, 2015. The implication of input data aggregation on upscaling of soil organic carbon changes. MACSUR Science Conference 2015. Reading, UK.

Coucheney E, Eckersten H, Jansson PE, Ewert F, Gaiser T, Hoffmann H, Lewan E, 2015. Sensitivity of crop water and N stress to soil input data in regional crop yield simulations and the implications for data aggregation effects: a case study with the COUP-model. MACSUR Science Conference 2015. Reading, UK.

Hoffmann H, Zhao G, Constantin J, Raynal H, Wallach D, Coucheney E, Sosa C, Lewan E, Eckersten H, Specka X, Kersebaum K-C, Nendel C, Grosz B, Dechow R, Kuhnert M, Yeluripati J, Kiese R, Haas E, Klatt S, Teixeira E, Bindi M, Trombi G, Moriondo M, Doro L, Roggero PP, Zhao Z, Wang E, Vanuytrecht E, Tao F, Rötter R, Cammarano D, Asseng S, Weihermüller L, Siebert S, Gaiser T, Ewert F, 2015. Effects of soil and climate input data aggregation on modelling regional crop yields. MACSUR Science Conference. Reading, UK.

Grosz B, Dechow R, Ewert F, Gaiser T, Hoffmann H, Zhao G, 2015. The implication of input data aggregation on upscaling of soil organic carbon changes – a case study with CENTURY model. EGU. Vienna, Austria. EGU General Assembly Conference Abstracts 17, 10275.

Hoffmann H, Gang Zhao, Van Bussel LGJ, Enders A, Specka X, Sosa C, Yeluripati J, Tao F, Constantin J, Casellas E, Teixeira E, Grosz B, Doro L, Zhao Z, Nendel C, Kiese R, Raynal H, Eckersten H, Klatt S, Edwin Haas, Wang E, Kuhnert M, Lewan E, Bach M, Kersebaum K-C, Rötter R, Roggero PP, Wallach D, Krauss G, Siebert S, Gaiser T,  Ewert F, 2014. Sensitivity of crop models to spatial aggregation of soil and climate data. Annual conference of the German/Austrian Agronomical Society & Max-Eyth-Society. Vienna, Austria.

Zhao G, Hoffmann H, Van Bussel LGJ, Enders A, Specka X, Sosa C, Yeluripati J, Tao F, Constantin J, Teixeira E, Grosz B, Luca Doro, Zhao Z, Nendel C, Ralf Kiese, Raynal H, Eckersten H, Haas E, Wang E, Kuhnert M, Lewan E, Bach M, Kersebaum K-C, Rötter R, Roggero PP, Wallach D, Krauss G, Siebert S, Gaiser T, Cammarano D, Asseng S, Ewert F, 2014. Weather data aggregation’s effect on simulation of cropping systems: a model, production system and crop comparison. 13th ESA Congress. Debrecen, Hungary.

Hoffmann H, Zhao G, Van Bussel LGJ, Enders A, Specka X, Sosa C, Yeluripati J, Tao F, Constantin J, Teixeira E, Grosz B, Doro L, Zhao Z, Nendel C, Kiese R, Raynal H, Eckersten H,  Haas E, Wang E, Kuhnert M, Lewan E, Bach M, Kersebaum K-C, Rötter R, Roggero PP, Wallach D, Krauss G, Siebert S, Gaiser T, Cammarano D, Asseng S, Ewert F, 2014. Influence of climate input data aggregation on simulated yield. 13th ESA Congress. Debrecen, Hungary.

Zhao G, Hoffmann H, Van Bussel LGJ, Enders A, Specka X, Sosa C, Yeluripati J, Tao F, Constantin J, Teixeira E, Grosz B, Doro L, Zhao Z, Nendel C, Raynal H, Eckersten H, Haas E, Kuhnert M, Lewan E, Bach M, Kersebaum K-C, Roggero PP, Rötter R, Wallach D, Krauss G, Siebert S, Gaiser T, Kiese R, Wang E, Ewert F, 2014. Weather data aggregation’s effects on simulation of cropping systems: a model, production system and crop comparison. FACCE MACSUR Mid-Term Conference. Sassari, Italy.

Klatt S, Haas E, Kiese R, 2014. Responses of soil N2O emissions and nitrate leaching on climate input data aggregation: a biogeochemistry model ensemble study. FACCE MACSUR Mid-Term Conference. Sassari, Italy.

Hoffmann H, Zhao G, Van Bussel LGJ, Enders A, Specka X, Sosa C, Yeluripati J, Tao F,  Constantin J, Teixeira E, Grosz B, Doro L, Nendel C, Kiese R, Raynal H, Eckersten H, Haas E,  Kuhnert M, Lewan E, Bach M, Kersebaum K-C, Roggero PP, Rötter R, Wallach D, Krauss G, Siebert S, Gaiser T, Wang E, Zhao Z, Ewert F, 2014. Effects  of  climate input data aggregation on modelling regional crop yields. FACCE MACSUR Mid-Term Conference. Sassari, Italy.

Zhao G, Hoffmann H, Van Bussel LGJ, Enders A, Specka X, Sosa C, Yeluripati J, Tao F, Constantin J, Teixeira E, Doro L, Nendel C, Kiese R, Raynal H, Eckersten H, Haas E, Kuhnert M, Lewan E, Bach M, Kersebaum K-C,  Reimund R, Wallach D, Gaiser T, Ewert F, 2014. Responses of crop’s water use efficiency to weather data aggregation: a crop model ensemble study. FACCE MACSUR CropM International Symposium and Workshop. Oslo, Norway.

Hoffmann H, Zhao G, Van Bussel LGJ, Enders A, Specka X, Sosa C, Yeluripati J, Tao F, Constantin J , Teixeira E, Grosz B, Doro L, Nendel C, Kiese R, Raynal H, Eckersten H, Haas E, Kuhnert M, Lewan E, Bach M, Kersebaum K-C, Rötter R, Wallach D, Gaiser T, Ewert F, 2014. Effects of climate input data aggregation on modelling regional crop yields. FACCE MACSUR CropM International Symposium and Workshop. Oslo, Norway.

Klatt S, Haas E, Hoffmann H, Zhao G, Van Bussel LGJ, Enders A, Gaiser T, Ewert F, Teixeira E, Kiese R, Doro L, Specka X, Nendel C, Kersebaum K-C, Sosa C, Lewan E, Eckersten H, Gebbert S, Dechow R, Grosz B, Bach M, Yeluripati J, Tao F, Constantin J, Raynal H, Wallach D, Kuhnert M, 2014.  Responses of soil N2O emissions and nitrate leaching on climate input data aggregation: a biogeochemistry model ensemble study. FACCE MACSUR CropM International Symposium and Workshop. Oslo, Norway.

Weihermüller L, Herbst M, Klosterhalfen A, Vereecken H, 2014.  AgroC – Development and first evaluation of a model for carbon fluxes in agroecosystems. FACCE MACSUR Mid-Term Conference. Sassari, Italy
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data

Hoffmann H, Enders A, Siebert S, Gaiser T, Ewert F. 2016. Climate and soil input data aggregation effects in crop models. doi: 10.7910/DVN/C0J5BB, Harvard Dataverse, V3.