Tag Archives: spatial sampling

spatial sampling

Whenever data is not available or simulating the entire region of interest is not feasible, sampling seems to be a good solution. How many sampling points are needed to accurately estimate the regional yield? What’s the error associated with that? What is the most suitable sampling strategy for the variable of interest, model, region or spatial variability? These questionas are adressed at different stages of AgMIP:

  • phase 1: estimates the performance of spatial sampling strategies accounting for climate variations
  • phase 2: estimates the performance of spatial sampling strategies accounting for soil and climate variations

The performance of sampling for instance climate or soil 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.).

Further reading

Spatial sampling of weather data for regional crop yield simulations

authors: Lenny van Bussel, Frank Ewert, Gang Zhao, Holger Hoffmann, Andreas Enders, Daniel Wallach, Julie Constantin, Hélène Raynal, Christian Klein, Christian Biernath, Florian Heinlein, Eckart Priesack, Fulu Tao, Reimund Rötter; Davide Cammarano, Senthold Asseng, Joshua Elliott, Michael Glotter, Claas Nendel, Kurt-Christian Kersebaum, Xenia Specka, Bruno Basso, Guillermo Baigorria, Consuelo Romero, James Chryssanthacopoulos.

abstract: Field-scale crop models are increasingly applied at spatio-temporal scales that range from regions to the globe and from decades up to 100 years. Sufficiently detailed data to capture the prevailing spatio-temporal heterogeneity in weather, soil, and management conditions as needed by crop models are rarely available. Effective sampling may overcome the problem of missing data but has rarely been investigated. In this study the effect of sampling weather data has been evaluated for simulating yields of winter wheat in a region in Germany over a 30-year period (1982-2011) using 12 process-based crop models. A stratified sampling was applied to compare the effect of different sizes of
spatially sampled weather data (10, 30, 50, 100, 500, 1000 and full coverage of 34,078 sampling points) on simulated wheat yields. Stratified sampling was further compared with random sampling.  Possible interactions between sample size and crop model were evaluated.

journal:  Agr For Met (under review).

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
…

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.