The water balance is ecohydrology's most important equation. Rodriguez-Iturbe (2000) notes that although apparently simple, it still presents serious challenges when infiltration, evapotranspiration, and leakage are all dependent on soil moisture dynamics. While useful, the black box water accounting model is unable to mechanistically assess mixing dynamics, ages of the water fluxes, and partitioning dynamics. Because of this, there have been recent calls for a different way of addressing the water balance (McDonnell, 2017)-one that tracks both the input-storage-output relations and the age of each component. This is because closure of the water balance (annually, the tradition in catchment hydrology) is physically unrealistic when individual water balance components can greatly exceed 1 year. Indeed, traditional hydrometric approaches to water balance closure only describe how much water flows through a system and not which water.In a recent review, Sprenger et al. (2019) noted that empirical water age data in the critical zone remains scarce and "with improving technology, we are gaining insights into the diversity of water ages within pools that have been elsewhere treated as well-mixed buckets." Some examples include the fact that two third of groundwater below 250 m is more than 10,000 years old (Jasechko et al., 2017); that often summer transpiration can be older water from previous seasons (Allen et al., 2019;Brooks et al., 2010). In extreme cases transpired water can be many months or years old (Zhang et al., 2017); Generally, stored water is much older than the stream waters that drain them (Berghuijs & Kirchner, 2017)-with stream waters themselves often in the years to decades age range (McGuire & McDonnell, 2006).But while tracer data in streamflow is now relatively abundant (Penna et al., 2018;Sprenger et al., 2019) and available at high resolution (Rode et al., 2016;von Freyberg et al., 2017), a major share of the water balance still goes through an outlet that is almost unmonitored in terms of tracers: the transpiration flux.