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The prediction of climate variability and change requires the use of a range of simulation models. Multiple climate model simulations are needed to sample the inherent uncertainties in seasonal to centennial prediction. Because climate models are computationally expensive, there is a tradeoff bet...


Challinor, Andrew J.Osborne, Tom M.Shaffrey, LenWeller, HilaryMorse, AndyWheeler, TimVidale, Pier Luigi[Methods and resources for climate impacts research]Methods and resources for climate impacts research

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
Asseng, SentholdEwert, FrankMartre, PierreRosenzweig, CynthiaJones, JimHatfield, Jerry L.Ruane, Alex C.Boote, Kenneth J.Thorburn, Peter J.Rötter, Reimund P.Cammarano, DavideBasso, BrunoAggarwal, Pramod K.Angulo, CarlosBertuzzi, PatrickBiernath, ChristianChallinor, Andrew J.Doltra, JordiGayler, SebastianGoldberg, Richard A.Grant, RobertHeng, LeeHooker, JoshHunt, TonyIngwersen, JoachimIzaurralde, Roberto CésarKersebaum, Kurt-ChristianMüller, ChristophNaresh Kumar, SooraNendel, ClaasO'Leary, Garry J.Olesen, J.E.Osborne, Tom M.Palosuo, TaruPriesack, EckartRipoche, DominiqueSemenov, Mikhail A.Shcherbak, IuriiSteduto, PasqualeStöckle, Claudio O.Stratonovitch, PierreStreck ISupit, IwanTao, FuluTravasso, MariaWaha, KatharinaWallach, DanielWhite, Jeffrey W.Williams, JimmyWolf, Joost[Benchmark data set for wheat growth models: Field experiments and AgMIP multi-model simulations]Benchmark data set for wheat growth models: Field experiments and AgMIP multi-model simulations

Improved crop yield forecasts could enable more effective adaptation to climate variability and change. Here, we explore how to combine historical observations of crop yields and weather with climate model simulations to produce crop yield projections for decision relevant timescales. Firstly, th...


Hawkins EHo CKOsborne, Tom M.Fricker TEFerro CATChallinor, Andrew J.[Increasing influence of heat stress on French maize yields from the 1960s to the 2030s]Increasing influence of heat stress on French maize yields from the 1960s to the 2030s

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