Achieving the United Nation’s Sustainable Development Goals (SDG) in the context of a rapidly changing climate and demographics is one of the major challenges for South Asia. Interventions aimed at achieving the SDGs will be varied and are likely to contain basin-wide trade-offs that need to be understood. In this paper, we synthesize recent global hydrology-crop model developments, with a specific focus on human impact parameterisations like the management of human built storage capacity, irrigation withdrawal and supply, and irrigation efficiency. We show that these models can help improve our understanding of the composition and flows of water, and the linkages between water scarcity and food production. To fully exploit the potential of improved models for policy support and the design of pathways towards SDG achievement, we envisage scope to include more local data from test fields and pilot sites, use the models to derive biophysical and financial feasibility of interventions, and improve the interaction with policy-makers and regional stakeholders through the development of better communication and visualisation tools.

在迅速变化的气候和人口背景下实现联合国的可持续发展目标（SDG）是南亚的主要挑战之一。旨在实现可持续发展目标的干预措施会多种多样，并且可能包含需要理解的全流域权衡。在本文中，我们综合了全球水文作物模型的最新发展，特别关注人类影响参数化，例如对人为建造的蓄水量，灌溉取水量和供应量以及灌溉效率的管理。我们表明，这些模型可以帮助我们更好地理解水的组成和流量，以及缺水与粮食生产之间的联系。为了充分利用改进的模型提供政策支持和实现可持续发展目标的途径的潜力，