Impact of terrestrial hydrology on L-A feedbacks and isotope signatures

L-A的反馈依赖于陆地和大气之间的水交换，更广泛地说，依赖于L-A的水路。要很好地理解与L-A水路有关的过程，需要共同进行测量和建模工作，并考虑各种陆地和大气变量，因为它们是由拉福天文台和拉菲提供的。我们将特别考虑稳定水同位素，并重点研究陆地水文过程对L-A反馈的作用。P9的研究目的是在LAFI目标2、3、4、E和S的框架内，提高我们对地下水、非饱和带土壤水分、ET分配、同位素特征和L-A反馈之间的关系和相互作用的理解。P9的研究假设是，在L-A系统模式中考虑同位素可以更好地约束E和T之间的分配，减少模拟ET的系统误差，并更准确地表征L-A耦合强度。我们的研究将在湍流允许的尺度上使用完全耦合的大气-水文模拟系统WRF-NoahMP-Gecros-Hydro-iso的同位素启用版本进行，该系统将能够在相关尺度上表示与E和T相关的同位素分馏过程，以便与现场同位素观测进行比较。在PS的监督下与P1、P4、P5、P6、P7和P8进行协作，将能够与Lafo数据集和反馈措施分享专门知识。P2将提供遥感信息，以更好地约束与植物蒸腾有关的模型参数。P3将提供陆地-植被-大气系统的同位素观测，这将对评估和改进WRF-NOAHMP-Gecros-Hydro-iso的E-T分配至关重要。我们将受益于在P4和P7中所做的工作，以正确使用WRF-NoahMP-Gecros-Hydro-iso中的Gecros作物建模选项，并且我们的建模同位素结果将反馈到P3和P4的E-T分配分析。作为CCWG-DL的一部分，P9将向P10提供模型数据。我们用WRF-NOHMP-GECROS-HYDRO-ISO对模拟的L-A反馈的分析将成为CCWG-MME的一部分。

L-A feedbacks depend on the exchange of water between the land and the atmosphere and more generally on L-A water pathways. A sound understanding of the processes related to L-A water pathways requires a joint measuring-modeling effort and the consideration of a great variety of both terrestrial and atmospheric variables, as they are offered by the LAFO observatory and LAFI. We will particularly consider stable water isotopologues and focus on the role of terrestrial hydrological processes on L-A feedbacks. The research objective of P9 is to improve our understanding of the relationship and interactions between groundwater, soil moisture in the unsaturated zone, ET partitioning, isotope signatures and L-A feedbacks, in the framework of LAFI objectives 2, 3, 4, E and S. The research hypotheses of P9 are that the consideration of isotopes in a L-A system model allows to better constrain the partitioning between E and T, reduce systematic errors in simulated ET, and more accurately characterize L-A coupling strength. Our studies will be performed with the isotope-enabled version of the fully coupled atmospheric-hydrological modeling system WRF-NoahMP-Gecros-Hydro-iso at turbulence permitting scales, which will allow to represent the isotopic fractionation processes associated with E and T at a relevant scale for comparison to in-situ isotope observation. The collaboration with P1, P4, P5, P6, P7 and P8 under the supervision of PS will allow to share expertise with LAFO datasets and feedback measures. P2 will provide remote sensing information to better constrain the model parameters related to plant transpiration. P3 will provide isotope observations in the land-vegetation-atmosphere system that will be crucial to evaluate and improve WRF-NoahMP-Gecros-Hydro-iso in terms of E – T partitioning. We will benefit from the work done in P4 and P7 to correctly use the Gecros crop modeling option in WRF-NoahMP-Gecros-Hydro-iso, and our modeled isotope results will feed back to the E – T partitioning analysis of P3 and P4. P9 will deliver model data to P10 as part of CCWG-DL. Our analysis of modeled L-A feedbacks with WRF-NoahMP-Gecros-Hydro-iso will be part of CCWG-MME.