Search results
- 1.0559235 - ÚVGZ 2023 RIV US eng J - Journal Article
Groh, J. - Diamantopoulos, E. - Duan, X. - Ewert, F. - Heinlein, F. - Herbst, M. - Holbak, M. - Kamali, B. - Kersebaum, Kurt Christian - Kuhnert, M. - Nendel, Claas - Priesack, E. - Steidl, J. - Sommer, M. - Puetz, T. - Vanderborght, J. - Vereecken, H. - Wallor, E. - Weber, T. K. D. - Wegehenkel, M. - Weihermueller, L. - Gerke, H. H.
Same soil, different climate: Crop model intercomparison on translocated lysimeters.
Vadose Zone Journal. Roč. 21, č. 4 (2022), č. článku e20202. E-ISSN 1539-1663
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : growth * simulation * water-use efficiency * heat-stress * eddy covariance * harvest index * change impact * wheat yields * calibration * uncertainty
OECD category: Agriculture
Impact factor: 2.8, year: 2022
Method of publishing: Open access
https://acsess.onlinelibrary.wiley.com/doi/10.1002/vzj2.20202
Permanent Link: https://hdl.handle.net/11104/0332684 - 2.0546886 - ÚVGZ 2022 RIV GB eng J - Journal Article
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, Kurt Christian - Klosterhalfen, A. - Launay, M. - Lewan, E. - Luo, Q. - Maestrini, B. - Mielenz, H. - Moriondo, M. - Zadeh, H. N. - Padovan, G. - Olesen, J. E. - Poyda, A. - Priesack, E. - Pullens, J. W. M. - Qian, B. - Schuetze, N. - Shelia, V. - Souissi, A. - Specka, X. - Srivastava, A. K. - Stella, T. - Streck, T. - Trombi, G. - Wallor, E. - Wang, J. - Weber, T. K.D. - Weihermueller, L. - de Wit, A. - Woehling, T. - Xiao, L. - Zhao, C. - Zhu, Y. - Seidel, S. J.
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise.
Environmental Modelling & Software. Roč. 145, NOV (2021), č. článku 105206. ISSN 1364-8152. E-ISSN 1873-6726
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : multiobjective calibration * parameterization * uncertainty * systems * identifiability * coefficients * simulation * phenology * software * gencalc * Calibration recommendations * Process-based models * Parameter estimation * Phenology
OECD category: Environmental sciences (social aspects to be 5.7)
Impact factor: 5.471, year: 2021
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S1364815221002486?via%3Dihub
Permanent Link: http://hdl.handle.net/11104/0323271 - 3.0542571 - ÚVGZ 2022 RIV NL eng J - Journal Article
Wallach, D. - Palosuo, T. - Thorburn, P. - Gourdain, E. - Asseng, S. - Basso, B. - Buis, S. - Crout, N. - Dibari, C. - Dumont, B. - Ferrise, R. - Gaiser, T. - García, C. - Gayler, S. - Ghahramani, A. - Hochman, Z. - Hoek, S. - Hoogenboom, G. - Horan, H. - Huang, M. - Jabloun, M. - Jing, Q. - Justes, E. - Kersebaum, Kurt Christian - Klosterhalfen, A. - Launay, M. - Luo, Q. - Maestrini, B. - Mielenz, H. - Moriondo, M. - Zadeh, H. N. - Olesen, J. E. - Poyda, A. - Priesack, E. - Pullens, J. W. M. - Qian, B. - Schuetze, N. - Shelia, V. - Souissi, A. - Specka, X. - Srivastava, A. K. - Stella, T. - Streck, T. - Trombi, G. - Wallor, E. - Wang, J. - Weber, T. K.D. - Weihermueller, L. - de Wit, A. - Woehling, T. - Xiao, L. - Zhao, C. - Zhu, Y. - Seidel, S. J.
How well do crop modeling groups predict wheat phenology, given calibration data from the target population?
European Journal of Agronomy. Roč. 124, MAR (2021), č. článku 126195. ISSN 1161-0301. E-ISSN 1873-7331
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : Crop model * Phenology prediction * Model evaluation * Wheat
OECD category: Agricultural biotechnology and food biotechnology
Impact factor: 5.722, year: 2021
Method of publishing: Limited access
https://www.sciencedirect.com/science/article/pii/S1161030120302021?via%3Dihub
Permanent Link: http://hdl.handle.net/11104/0319957 - 4.0541707 - ÚVGZ 2022 RIV NL eng J - Journal Article
Wallach, D. - Palosuo, T. - Thorburn, P. - Hochman, Z. - Andrianasolo, F. - Asseng, S. - Basso, B. - Buis, S. - Crout, N. - Dumont, B. - Ferrise, R. - Gaiser, T. - Gayler, S. - Hiremath, S. - Hoek, S. - Horan, H. - Hoogenboom, G. - Huang, M. - Jabloun, M. - Jansson, P.-E. - Jing, Q. - Justes, E. - Kersebaum, Kurt Christian - Launay, M. - Lewan, E. - Luo, Q. - Maestrini, B. - Moriondo, M. - Olesen, J. E. - Padovan, G. - 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. - Weihermueller, L. - de Wit, A. - Wohling, T. - Xiao, L. - Zhao, C. - Zhu, Y. - Seidel, S. J.
Multi-model evaluation of phenology prediction for wheat in Australia.
Agricultural and Forest Meteorology. Roč. 298, MAR 15 (2021), č. článku 108289. ISSN 0168-1923. E-ISSN 1873-2240
R&D Projects: GA MŠMT(CZ) EF16_019/0000797
Research Infrastructure: CzeCOS III - 90123
Institutional support: RVO:86652079
Keywords : crop model predictions * time * uncertainty * simulation * maize * performance * cultivars * maturity * systems * europe * Evaluation * Phenology * Wheat * Australia * Structure uncertainty * Parameter uncertainty
OECD category: Agriculture
Impact factor: 6.424, year: 2021
Method of publishing: Limited access
https://reader.elsevier.com/reader/sd/pii/S0168192320303919?token=71563322B19C1CFB4EC4F394E2F7AB03E1BF746E549DDA6CD4E51A684745D03615E9086C157DE496A4FA45C934C8453C&originRegion=eu-west-1&originCreation=20210414103656
Permanent Link: http://hdl.handle.net/11104/0319237