Daniel Wallach
Distinguished Emeritus Professor
Daniel Wallach
2.004
Katzenburgweg 5
53115 Bonn
Application of statistical methods to soil-crop models
Wallach, D., 1967. Effect of internal rotation on angular correlation functions. J. Chem. Phys. 47.
Asseng, S., Ewert, F., Martre, P., Rötter, R.P., Lobell, D.B., Cammarano, D., Kimball, B.A., Ottman, M.J., Wall, G.W., White, J.W., Reynolds, M.P., Alderman, P.D., Prasad, P.V. V., Aggarwal, P.K., Anothai, J., Basso, B., Biernath, C., Challinor, A.J., De Sanctis, G., Doltra, J., Fereres, E., Garcia-Vila, M., Gayler, S., Hoogenboom, G., Hunt, L.A., Izaurralde, R.C., Jabloun, M., Jones, C.D., Kersebaum, K.C., Koehler, A.-K., Müller, C., Naresh Kumar, S., Nendel, C., O’Leary, G., Olesen, J.E., Palosuo, T., Priesack, E., Eyshi Rezaei, E., Ruane, A.C., Semenov, M.A., Shcherbak, I., Stöckle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Thorburn, P.J., Waha, K., Wang, E., Wallach, D., Wolf, J., Zhao, Z., Zhu, Y., 2015. Rising temperatures reduce global wheat production. Nat. Clim. Chang. 5, 143–147. https://doi.org/10.1038/nclimate24701
Rosenzweig, C., Jones, J.W., Hatfield, J.L., Ruane, A.C., Boote, K.J., Thorburn, P., Antle, J.M., Nelson, G.C., Porter, C., Janssen, S., Asseng, S., Basso, B., Ewert, F., Wallach, D., Baigorria, G., Winter, J.M., 2013. The Agricultural Model Intercomparison and Improvement Project (AgMIP): Protocols and pilot studies. Agric. For. Meteorol. 170. https://doi.org/10.1016/j.agrformet.2012.09.0112
Wallach, D., 2011. Crop model calibration: A statistical perspective. Agron. J. 103, 1144–1151.
Wallach, D., Makowski, D., Jones, J.W., Brun, F., 2019. Working with Dynamic Crop Models: Methods, Tools and examples for Agriculture and Environment. Third edition. Academic Press, London, U.K.
Wallach, D., Martre, P., Liu, B., Asseng, S., Ewert, F., Thorburn, P.J., Ittersum, M., Aggarwal, P.K., Ahmed, M., Basso, B., Biernath, C., Cammarano, D., Challinor, A.J., De Sanctis, G., Dumont, B., Eyshi Rezaei, E., Fereres, E., Fitzgerald, G.J., Gao, Y., Garcia-Vila, M., Gayler, S., Girousse, C., Hoogenboom, G., Horan, H., Izaurralde, R.C., Jones, C.D., Kassie, B.T., Kersebaum, C.C., Klein, C., Koehler, A.-K., Maiorano, A., Minoli, S., Müller, C., Naresh Kumar, S., Nendel, C., O’Leary, G.J., Palosuo, T., Priesack, E., Ripoche, D., Rötter, R.P., Semenov, M.A., Stöckle, C., Stratonovitch, P., Streck, T., Supit, I., Tao, F., Wolf, J., Zhang, Z., 2018. Multimodel ensembles improve predictions of crop–environment–management interactions. Glob. Chang. Biol. 0. https://doi.org/10.1111/gcb.144113
Wallach, D., Palosuo, T., Thorburn, P., Hochman, Z., Gourdain, E., Andrianasolo, F., Asseng, S., Basso, B., Buis, S., Crout, N., Dibari, C., Dumont, B., Ferrise, R., Gaiser, T., Garcia, C., Gayler, S., Ghahramani, A., Hiremath, S., Hoek, S., Horan, H., Hoogenboom, G., Huang, M., Jabloun, M., Jansson, P.-E., Jing, Q., Justes, E., Kersebaum, K.C., Klosterhalfen, A., Launay, M., Lewan, E., Luo, Q., Maestrini, B., Mielenz, H., Moriondo, M., Nariman Zadeh, H., Padovan, G., Olesen, J.E., Poyda, A., Priesack, E., Pullens, J.W.M., Qian, B., Schütze, N., Shelia, V., Souissi, A., Specka, X., Srivastava, A.K., Stella, T., Streck, T., Trombi, G., Wallor, E., Wang, J., Weber, T.K.D., Weihermüller, L., de Wit, A., Wöhling, T., Xiao, L., Zhao, C., Zhu, Y., Seidel, S.J., 2021. The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise. Environ. Model. Softw. 145, 105206. https://doi.org/10.1016/J.ENVSOFT.2021.1052064
Wallach, D., Palosuo, T., Thorburn, P., Mielenz, H., Buis, S., Hochman, Z., Gourdain, E., Andrianasolo, F., Dumont, B., Ferrise, R., Gaiser, T., Garcia, C., Gayler, S., Harrison, M., Hiremath, S., Horan, H., Hoogenboom, G., Jansson, P.-E., Jing, Q., Justes, E., Kersebaum, K.-C., Launay, M., Lewan, E., Liu, K., Mequanint, F., Moriondo, M., Nendel, C., Padovan, G., Qian, B., Schütze, N., Seserman, D.-M., Shelia, V., Souissi, A., Specka, X., Srivastava, A.K., Trombi, G., Weber, T.K.D., Weihermüller, L., Wöhling, T., Seidel, S.J., 2023. Proposal and extensive test of a calibration protocol for crop phenology models. Agron. Sustain. Dev. 43, 46. https://doi.org/10.1007/s13593-023-00900-05
Wallach, D., Buis, S., Seserman, D.-M., Palosuo, T., Thorburn, P.J., Mielenz, H., Justes, E., Kersebaum, K.-C., Dumont, B., Launay, M., Seidel, S.J., 2024. A calibration protocol for soil-crop models. Environ. Model. Softw. 180, 106147. https://doi.org/10.1016/J.ENVSOFT.2024.1061476
Wang, B., Jägermeyr, J., O’Leary, G.J., Wallach, D., Ruane, A.C., Feng, P., Li, L., Liu, D.L., Waters, C., Yu, Q., Asseng, S., Rosenzweig, C., 2024. Pathways to identify and reduce uncertainties in agricultural climate impact assessments. Nat. Food 5, 550–556. https://doi.org/10.1038/s43016-024-01014-w7
Simulation of Agricultural and Biological Systems
Links
- https://doi.org/10.1038/nclimate2470
- https://doi.org/10.1016/j.agrformet.2012.09.011
- https://doi.org/10.1111/gcb.14411
- https://doi.org/10.1016/J.ENVSOFT.2021.105206
- https://doi.org/10.1007/s13593-023-00900-0
- https://doi.org/10.1016/J.ENVSOFT.2024.106147
- https://doi.org/10.1038/s43016-024-01014-w