Improving the multiannual, high-resolution modelling of biogeochemical cycles in the Baltic Sea by using data assimilation
By: Ye Liu, H. E. Markus Meier and Kari Eilola
Authors
H. E. Markus Meier
Swedish Meteorological and Hydrological Institute, Norrköping; Department of Meteorology, Stockholm University, Stockholm
DOI: https://doi.org/10.3402/tellusa.v66.24908 | Journal eISSN: 3035-9554
Language: English
Page range: 24908 - 24908
Submitted on: May 12, 2014
Accepted on: Nov 18, 2014
Published on: Dec 1, 2014
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
© 2014 Ye Liu, H. E. Markus Meier, Kari Eilola, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.