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Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.


Hydroclimatology: joint synthesis of hydro-eco-meteorological data
Convener: Maik Renner  | Co-Conveners: Sujan Koirala , Peter Greve , Fubao Sun , Lukas Gudmundsson 

Hydroclimatology establishes the mean and variability of freshwater reserves which are tightly linked with the atmosphere and biogeochemical cycles. It, thus, provides the basis for assessing the vulnerability of water resources, agriculture and forestry to anthropogenic climate change and on-the-ground human interventions to the water cycle.
The steadily growing observational archives with a diverse data ranging from point-scale in-situ observations to regional-to-global remote sensing products have a potential to provide an unprecedented view of the underlying physical processes at many spatial and temporal scales.

The true worth of these data archives will, however, only come forth when they are meaningfully applied to test and address practical and scientific research questions. Therefore, this session invites contributions encompassing:

Theory advancing hydroclimatological analysis
- Physical constraints, e.g., Budyko water balance framework
- Complementary hypothesis
- Stochastic models to represent time series dynamics

Data-Driven Approaches:
- Assessment and attribution of trends and variability in hydroclimatological data at multiple spatial and temporal scales
- Evaluation of hydro-eco-meteorological data archives which allow for novel climatological analysis by linking different datasets (river discharge, water quality indicators, water table depth, soil moisture, phenology, vegetation indices, ecosystem fluxes, surface radiation, precipitation, and so on.)
- Initiatives for hydroclimatological data sharing (e.g., MOPEX, GRDC, FRIEND...)
- Tools that allow to upscale valuable but sometimes limited in-situ observations to data sets that cover continents or the entire globe

Model-data integration:
- Studies that highlight the applicability of hydrological data to constrain hydrological, ecological and climate model-data integration, and vice-versa.
- Studies linking the water, energy and carbon cycles
- Accounting for anthropogenic alterations of hydrological and ecological systems
- Addressing shortcomings of model structures, and guide to new formulations of process-based models

Confirmed invited speaker:
Prof. Vazken Andréassian, IRSTEA, France