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Producing projections of future crop yields requires careful thought about the appropriate use of atmosphere-ocean global climate model (AOGCM) simulations. Here we describe and demonstrate multiple methods for ‘calibrating’ climate projections using an ensemble of AOGCM simulations in a ‘perfect...


Hawkins EOsborne, Tom M.Ho CKChallinor, Andrew J.[Calibration and bias correction of climate projections for crop modelling: An idealised case study over Europe]Calibration and bias correction of climate projections for crop modelling: An idealised case study over Europe

The objective of this work was to evaluate the feasibility of simulating maize yield in a sub‑tropical region of southern Brazil using the general large area model (Glam). A 16‑year time series of daily weather data were used. The model was adjusted and tested as an alternative for simulating mai...


Bergamaschi HCosta, S.M.S. daWheeler TRChallinor, Andrew J.[Simulating maize yield in sub-tropical conditions of southern Brazil using Glam model]Simulating maize yield in sub-tropical conditions of southern Brazil using Glam model

Geoengineering has been proposed to stabilize global temperature, but its impacts on crop production and stability are not fully understood. A few case studies suggest that certain crops are likely to benefit from solar dimming geoengineering, yet we show that geoengineering is projected to have ...


Yang, HuiyiDobbie, StevenRamírez Villegas, JuliánFeng, KuishuangChallinor, Andrew J.Chen, BingGao, YaoLee, LindsayYin, YanSun, LaixiangWatson, JamesKöhler, Ann-KristinFan, TingtingGhosh, Sat[Potential negative consequences of geoengineering on crop production: A study of Indian groundnut]Potential negative consequences of geoengineering on crop production: A study of Indian groundnut

Crop models are used for an increasingly broad range of applications, with a commensurate proliferation of methods. Careful framing of research questions and development of targeted and appropriate methods are therefore increasingly important. In conjunction with the other authors in this special...


Challinor, Andrew J.Müller, ChristophAsseng, SentholdDeva, ChetanNicklin, Kathryn JaneWallach, DanielVanuytrecht, ElineWhitfield, StephenRamírez Villegas, JuliánKöhler, Ann-Kristin[Improving the use of crop models for risk assessment and climate change adaptation]Improving the use of crop models for risk assessment and climate change adaptation
Martre, PierreAsseng, SentholdEwert, FrankMüller, ChristophRötter, Reimund P.Ruane, Alex C.Semenov, Mikhail A.Wallach, DanielWang, EnliAlderman, Phillip D.Kassie, Belay T.Biernath, ChristianBasso, BrunoCammarano, DavideChallinor, Andrew J.Doltra, JordiDumont, BenjaminRezaei, Ehsan EyshiGayler, SebastianKersebaum, Kurt-ChristianKimball, Bruce A.Köhler, Ann-KristinLiu, BingO'Leary, Garry J.Olesen, J.E.Ottman, Michael J.Priesack, EckartReynolds, Matthew P.Stratonovitch, PierreStreck, ThiloThorburn, Peter J.Waha, KatharinaWall, Gerard W.White, Jeffrey W.Zhao, ZhiganZhu, Yan[Crop model improvement reduces the uncertainty of the response totemperature of multi-model ensembles]Crop model improvement reduces the uncertainty of the response totemperature of multi-model ensembles

Climate change has been projected to significantly affect agricultural productivity and hence food availability in the coming decades. The uncertainty associated with projecting climate change impacts is a barrier to agricultural adaptation. Despite uncertainty quantification becoming more promin...


Ramírez Villegas, JuliánChallinor, Andrew J.[Towards a genotypic adaptation strategy for Indian groundnut cultivation using an ensemble of crop simulations]Towards a genotypic adaptation strategy for Indian groundnut cultivation using an ensemble of crop simulations
Ruane, Alex C.Hudson, Nicholas I.Asseng, SentholdCamarrano, DavideEwert, FrankMartre, PierreBoote, Kenneth J.Thorburn, Peter J.Aggarwal, Pramod K.Angulo, CarlosBasso, BrunoBertuzzi, PatrickBiernath, ChristianBrisson, NadineChallinor, Andrew J.Doltra, JordiGayler, SebastianGoldberg, Richard A.Grant, Robert F.Heng, LeeHooker, JoshHunt, Leslie A.Ingwersen, JoachimIzaurralde, Roberto CésarKersebaum, Kurt-ChristianKumar, Soora NareshMüller, ChristophNendel, ClaasO'Leary, Garry J.Olesen, J.E.Osborne, Tom M.Palosuo, TaruPriesack, EckartRipoche, DominiqueRotter, Reimund P.Semenov, Mikhail A.Shcherbak, IuriiSteduto, PasqualeStöckle, Claudio O.Stratonovitch, PierreStreck, ThiloSupit, IwanTao, FuluTravasso, MariaWaha, KatharinaWallach, DanielWhite, Jeffrey W.Wolf, Joost[Multi-wheat-model ensemble responses to interannual climate variability]Multi-wheat-model ensemble responses to interannual climate variability
Ramírez Villegas, JuliánKöhler, Ann-KristinChallinor, Andrew J.[Assessing uncertainty and complexity in regional-scale crop model simulations]Assessing uncertainty and complexity in regional-scale crop model simulations

Projections of the response of crop yield to climate change at different spatial scales are known to vary. However, understanding of the causes of systematic differences across scale is limited. Here, we hypothesize that heterogeneous cropping intensity is one source of scale dependency. Analysis...


Challinor, Andrew J.Parkes BRamírez Villegas, Julián[Crop yield response to climate change varies with cropping intensity]Crop yield response to climate change varies with cropping intensity

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