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Linking monitoring and modelling: can long-term datasets be used more effectively as a basis for lar...

Linking monitoring and modelling: can long-term datasets be used more effectively as a basis for lar...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_907149840

Linking monitoring and modelling: can long-term datasets be used more effectively as a basis for large-scale prediction

About this item

Full title

Linking monitoring and modelling: can long-term datasets be used more effectively as a basis for large-scale prediction

Publisher

Dordrecht: Dordrecht : Springer Netherlands

Journal title

Biogeochemistry, 2010-12, Vol.101 (1-3), p.211-227

Language

English

Formats

Publication information

Publisher

Dordrecht: Dordrecht : Springer Netherlands

More information

Scope and Contents

Contents

Data from long-term monitoring sites are vital for biogeochemical process understanding, and for model development. Implicitly or explicitly, information provided by both monitoring and modelling must be extrapolated in order to have wider scientific and policy utility. In many cases, large-scale modelling utilises little of the data available from...

Alternative Titles

Full title

Linking monitoring and modelling: can long-term datasets be used more effectively as a basis for large-scale prediction

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_907149840

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_907149840

Other Identifiers

ISSN

0168-2563

E-ISSN

1573-515X

DOI

10.1007/s10533-010-9413-x

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