Craig, Michael T.Michael T.CraigWohland, JanJanWohlandStoop, Laurens P.Laurens P.StoopKies, AlexanderAlexanderKiesPickering, BrynBrynPickeringBloomfield, Hannah C.Hannah C.BloomfieldBrowell, JethroJethroBrowellFelice, Matteo deMatteo deFeliceDent, Chris J.Chris J.DentDeroubaix, AdrienAdrienDeroubaixFrischmuth, FelixFelixFrischmuthGonzalez, Paula L.M.Paula L.M.GonzalezGrochowicz, AleksanderAleksanderGrochowiczGruber, KatharinaKatharinaGruberHärtel, PhilippPhilippHärtelKittel, MartinMartinKittelKotzur, LeanderLeanderKotzurLabuhn, IngaIngaLabuhnLundquist, Julie K.Julie K.LundquistPflugradt, NoahNoahPflugradtWiel, Karin van derKarin van derWielZeyringer, MarianneMarianneZeyringerBrayshaw, David J.David J.Brayshaw2022-07-192024-11-192022-07-192022https://publica.fraunhofer.de/handle/publica/41895910.1016/j.joule.2022.05.010Energy system models underpin decisions by energy system planners and operators. Energy system modeling faces a transformation: accounting for changing meteorological conditions imposed by climate change. To enable that transformation, a community of practice in energy-climate modeling has started to form that aims to better integrate energy system models with weather and climate models. Here, we evaluate the disconnects between the energy system and climate modeling communities, then lay out a research agenda to bridge those disconnects. In the near-term, we propose interdisciplinary activities for expediting uptake of future climate data in energy system modeling. In the long-term, we propose a transdisciplinary approach to enable development of (1) energy-system-tailored climate datasets for historical and future meteorological conditions and (2) energy system models that can effectively leverage those datasets. This agenda increases the odds of meeting ambitious climate mitigation goals by systematically capturing and mitigating climate risk in energy sector decision-making.enenergy systemclimate changetransformationclimate modelingjournal article