Water balance modelling in the Baltic Sea drainage basin – analysis of meteorological and hydrological approaches View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-06

AUTHORS

L. P. Graham, S. Bergström

ABSTRACT

Summary Efforts to understand and simulate the global climate in numerical models have led to regional studies of the energy and water balance. The Baltic Basin provides a continental scale test basin where meteorology, oceanography and hydrology all can meet. Using a simple conceptual approach, a large-scale hydrological model of the water balance of the total Baltic Sea Drainage Basin (HBV-Baltic) was used to simulate the basinwide water balance components for the present climate and to evaluate the land surface components of atmospheric climate models. It has been used extensively in co-operative BALTEX (The Baltic Sea Experiment) research and within SWECLIM (Swedish Regional Climate Modelling Programme) to support continued regional climate model development. This helps to identify inconsistencies in both meteorological and hydrological models. One result is that compensating errors are evident in the snow routines of the atmospheric models studied. The use of HBV-Baltic has greatly improved the dialogue between hydrological and meteorological modellers within the Baltic Basin research community. It is concluded that conceptual hydrological models, although far from being complete, play an important role in the realm of continental scale hydrological modelling. Atmospheric models benefit from the experience of hydrological modellers in developing simpler, yet more effective land surface parameterisations. This basic modelling tool for simulating the large-scale water balance of the Baltic Sea drainage basin is the only existing hydrological model that covers the entire basin and will continue to be used until more detailed models can be successfully applied at this scale. More... »

PAGES

45-60

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s007030170016

DOI

http://dx.doi.org/10.1007/s007030170016

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1044429545


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