Publication
Number of items: 12.
Public
New modelling technique for improving crop model performance - Application to the GLAM model. (2019)
Droutsas, I., Challinor, A. J., Swiderski, M., Semenov, Mikhail
Facilitating the elicitation of beliefs for use in Bayesian Belief modelling. (2019)
Hassall, Kirsty, Dailey, Gordon, Zawadzka, J., Milne, Alice, Harris, J. A., Corstanje, R., Whitmore, Andy
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Artificial neural networks for monitoring network optimisation—a practical example using a national insect survey. (2020)
Bourhis, Yoann, Bell, James, Vandenbosch, Frank, Milne, Alice
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Simulation scenarios of spatial-temporal arrangement of crops at the landscape scale. (2010)
Castellazzi, M. S., Matthews, J., Angevin, F., Sausse, C., Wood, G. A., Burgess, P. J., Brown, I., Conrad, Kelvin, Perry, J. N.
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Short-term air temperature forecasting using Nonparametric Functional Data Analysis and SARMA models. (2018)
Curceac, Stelian, Ternynck, C., Ouarda, T. B. M. J, Chebana, F., Niang, S. D.
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Crop modelling for integrated assessment of risk to food production from climate change. (2015)
Ewert, F., Rotter, R. P., Bindi, M., Webber, H., Trnka, M., Kersebaum, K. C., Olesen, J. E., Van Ittersum, M. K., Janssen, S., Rivington, M., Semenov, Mikhail, Wallach, D., Porter, J. R., Stewart, D., Verhagen, J., Gaiser, T., Palosuo, T., Tao, F., Nendel, C., Roggero, P. P., Bartosova, L., Asseng, S.
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MACRO-DB: a decision-support tool for assessing pesticide fate and mobility in soils. (1997)
Jarvis, N. J., Hollis, J. M., Nicholls, P. H., Mayr, T., Evans, S. P.
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Using artificial mixtures to test the impacts of tracer combinations and model selection on the performance of sediment source fingerprinting in a burned area. (2025)
Liang, C, Shi, Z., Collins, Adrian, Wen, A., Long, Y., Zhou, P.
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Valuing local knowledge as a source of expert data: farmer engagement and the design of decision support systems. (2012)
Oliver, D. M., Fish, R. D., Winter, M., Hodgson, Chris, Heathwaite, A. L., Chadwick, Dave
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Development and testing of a risk indexing framework to determine field-scale critical source areas of faecal bacteria on grassland. (2010)
Oliver, D. M., Page, T., Hodgson, Chris, Heathwaite, A. L., Chadwick, Dave, Fish, R. D., Winter, M.
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Multi-wheat-model ensemble responses to interannual climate variability. (2016)
Ruane, A. C., Hudson, N. L., Asseng, S., Ewert, F., Cammarano, D., Martre, P., Boote, K. J., Thorburn, P. J., Aggarwal, P. K., Angulo, C., Basso, B., Bertuzzi, P., Biernath, C., Brisson, N., Challinor, A. J., Doltra, J., Gayler, S., Goldberg, R., Grant, R. F., Heng, L., Hooker, J., Hunt, L. A., Ingwersen, J., Izaurralde, R. C., Kersebaum, K. C., Müller, C., Kumar, S. N., Nendel, C., O'Leary, G., Olesen, J. E., Osborne, T. M., Palosuo, T., Priesack, E., Ripoche, D., Semenov, Mikhail, Shcherbak, I., Steduto, P., Stöckle, C. O., Stratonovitch, Pierre, Streck, T., Supit, I., Tao, F. L., Travasso, M., Waha, K., Wallach, D., White, J. W., Wolf, J.
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Residual correlation and ensemble modelling to improve crop and grassland models. (2023)
Sandor, R., Ehrhardt, F., Grace, P., Recous, S., Smith, Pete, Snow, V., Soussana, J., Basso, B., Bhatia, A., Brilli, L., Doltra, J., Dorich, C. D., Doro, L., Fitton, N., Grant, B., Harrison, M. T., Skiba, U., Kirschbaum, M. U., Klumpp, K., Laville, P., Leonard, J., Martin, R., Massad, R. S., Moore, A. D., Myrgiotis, V., Pattey, E., Rolinski, S., Sharp, J., Smith, W., Wu, Lianhai, Zhang, Q., Bellocchi, G.
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