Energy 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.

能源系统模型支持能源系统规划者和运营商的决策。能源系统建模面临转型：考虑气候变化带来的不断变化的气象条件。为了实现这种转变，能源-气候建模实践社区已经开始形成，旨在更好地将能源系统模型与天气和气候模型相结合。在这里，我们评估能源系统和气候建模社区之间的脱节，然后制定研究议程来弥合这些脱节。在短期内，我们提出了跨学科活动，以加快能源系统建模中未来气候数据的吸收。在长期，我们提出了一种跨学科方法，以支持开发（1）针对历史和未来气象条件的能源系统定制气候数据集，以及（2）可以有效利用这些数据集的能源系统模型。该议程通过在能源部门决策中系统地捕捉和减轻气候风险，增加了实现雄心勃勃的气候减缓目标的几率。