Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 1
Articles | Volume 13, issue 1
https://doi.org/10.5194/gmd-13-55-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-55-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 1
Development and technical paper
 | 
07 Jan 2020
Development and technical paper |  | 07 Jan 2020

The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0

Ewan Pinnington, Tristan Quaife, Amos Lawless, Karina Williams, Tim Arkebauer, and Dave Scoby

Supplement

https://doi.org/10.5194/gmd-13-55-2020-supplement

Data sets

First release of LaVEnDAR software Ewan Pinnington https://doi.org/10.5281/zenodo.2654853

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Short summary
We present LAVENDAR, a mathematical method for combining observations with models of the terrestrial environment. Here we use it to improve estimates of crop growth in the UK Met Office land surface model. However, the method is model agnostic, requires no modification to the underlying code and can be applied to any part of the model. In the example application we improve estimates of maize yield by 74 % by assimilating observations of leaf area, crop height and photosynthesis.
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