Optimized input data for climate impact studies from regional climate models

WP coordination: Wegener Center (Andreas Gobiet)

CLAVIER is conducted by an interdisciplinary team involving scientists from very different methodological backgrounds. A crucial part of the project is the establishment of an effective interface between the project participants, particularly those from the climate modelling and the climate impact assessment communities. WP2 is designed to optimize this interface by enforcing and moderating communication and by providing methodological interfaces.

Communication. WP2 provides and moderates different communication channels (ranging from face-to-faced channels like workshops to web-based non-interactive channels like a meta-database) which are used to collect and distribute information, and to foster direct interaction beween CLAVIER participants. Information about the requirements of climate impact studies conducted in the framework of CLAVIER are collected and the potentials and restrictions of available climate scenario data from WP1 are communicated. Available methodologies for bridging the "scale-gap" between WP1 data and the needs of particular impact studies are evaluated, and enhancement and adaptation options regarding the needs of the specific studies are elaborated.

Methodological interfaces. Climate model - climate impact interfaces are realised by dynamical and statistical techniques:
Dynamical modelling and adaptation at very fine scales (3 to 1 km grid spacing) provides input for case studies in the the field of hydrology and agriculature (WP3c) and multi-scale simulations are used to investigate model resolutions suited for proper representation of meteorological and climate extreme events (cooperation with WP3b).
Various statistical downscaling techniques are applied to create ensembles of daily timeseries of key meteorological parameters on station scale using predictors from WP1 models. This ensemble approach continues the "uncertainty-cascade" started in WP1, enables to provide probabilistic input data for climate impact studies, and allows to investigate uncertainty in the projected climate impacts. Statistical techniques are furthermore used to directly derive parameters of weather and climate extremes and various climate impact parameters in the fields of ecosystems, health, infrastructure, and economics.

Results of WP2

Status of WP2 Tasks (internal)