Please note that this session was withdrawn and is no longer available in the respective programme.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.
HS2.2.4 | Integrating Earth Observations and modelling to develop reliable simulations of the terrestrial water cycle at high resolution (1 km, 1 day)
EDI
Integrating Earth Observations and modelling to develop reliable simulations of the terrestrial water cycle at high resolution (1 km, 1 day)
Convener: Almudena García-GarcíaECSECS | Co-conveners: Bram DroppersECSECS, Pietro StradiottiECSECS, Luca Brocca, Luis Samaniego
A survey of the current state-of-the-art in Earth System Science indicates that currently high-resolution reanalyses of essential terrestrial climate variables primarily serve sector-specific needs (e.g., atmospheric, oceanic, land surface, hydrological, or terrestrial carbon cycle reanalysis). Integration among land surface, hydrology, biota, and carbon processes still needs to be improved. The primary cause for this deficiency is the substantial computational costs inherent in Earth modeling systems and their assimilation algorithms. For example, when producing regional or continental-level streamflow reconstitution, Earth Observation (EO) inputs are typically underutilised or entirely absent.

Large-scale, high-resolution (1 km, 1 day) simulations of the water cycle can be developed through a systematic integration of EO retrieval systems and land surface\hydrological modelling. We need to foster the collaboration between hydrological modellers and EO scientists communities by connecting their expertise to enable credible estimates of water cycle components via hyper-resolution Earth observations and land-surface modelling. Hydrologists should not merely utilise satellite data as an end-user without providing feedback to remote sensing scientists. Conversely, EO scientists should consider the feedback and criticism of hydrologists.

This session aims to unite both communities and encourage submissions relating to the following topics:
- Develop reliable methods and approaches for the validation of EO products and modelling simulations with a specific focus on the high resolution.
- Improving the integration of EO products and modelling by ensuring consistency in terms of ancillary information and (more challenging) process representation.
- Addressing the intrinsic uncertainties in EO products and in meteorological\hydrological simulations—and their relative scales—to provide improved predictability of the different components of the water cycle.
- Improving the parameterization of the land surface processes through the integration of EO products.
- Addressing the human impact on the water cycle through advanced methods of integration of EO products into modelling.