Multi-time-scale hydroclimate dynamics of a regional watershed and links to large-scale atmospheric circulation Massei, N.; Dieppois, B.; Hannah, D. M.; Lavers, D. A.; Fossa, M.; Laignel, B.; Debret, M.
Abstract. In a context of climate, environmental, ecological and
socio-economical changes, understanding and predicting the response of
hydrological systems on regional to global spatial scales, and on
infra-seasonal to multidecadal time-scales, are major topics that must be
considered to tackle the challenge of water resource management
sustainability. In this context, a number of strongly-linked key issues need
to be addressed by the scientific community, including: (i) identifying
climate drivers of hydrological variations, (ii) understanding the
multi-frequency characteristics of hydroclimate variability, including
evolution of extremes (meteorological/hydrological event scale to long-term
natural/internal climate- or anthropogenic-driven variations and trends),
(iii) assessing the influence of local- to regional-scale basin properties on
hydrological system response to climate variability and change, (iv) identifying the evolving contribution of anthropogenic water use in observed
hydrological variations. Based on pan-European collaborations, activities of
the EURO-FRIEND “Large-scale variations in hydrological characteristics”
group aim at generating new findings to improve our understanding of
hydrological systems behavior sensu lato (i.e. surface and sub-surface) on
large spatial and temporal scales (i.e continental – multidecadal). Through
selected examples, this contribution emphasizes recent research developments
in characterizing and modeling of climate-hydrology linkages at different
temporal and spatial scales, as well as recent insights on climate-hydrology
scaling characteristics (i.e. long-term persistence, dependance of
processes, of hydrological behaviors, of large-scale climate/hydrology
linkages on time-/spatial scales), long-term hydrometeorological
reconstructions, and large-scale hydrological model refinement taking into
account spatial heterogeneity of watershed physical characteristics.
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