Closed dlebauer closed 9 years ago
I assume the point runs of the BioCro model will be calibrated with ground truth data for parameterization of each point condition. Is that right?
If then, how to use regional runs to calibrate with ground truth data? Or do we still nee to work on model calibration for regional runs?
@taolin1
In the past we have run at specific locations with local met data and then have compared against site-level runs. At this point, we can assume that the BioCro model to has been calibrated for Miscanthus [1].
However, Becky Arundale has since conducted more comprehensive trials across the US [2], and these are in BETYdb [2]. We could also assess BioCro against these trials. At the same time, such an analysis could be a separate paper altogether.
[1] Miguez, Fernando E., Matthew Maughan, Germán A. Bollero, and Stephen P. Long. "Modeling spatial and dynamic variation in growth, yield, and yield stability of the bioenergy crops Miscanthus× giganteus and Panicum virgatum across the conterminous United States." Gcb Bioenergy 4, no. 5 (2012): 509-520.
[2] Arundale 2012 The higher productivity of the bioenergy feedstock Miscanthus x giganteus relative to Panicum virgatum is seen both into the long term and beyond Illinois (Thesis) https://www.ideals.illinois.edu/handle/2142/34422
[3] https://www.betydb.org/search?search=miscanthus+arundale
Let me know if you need any support on ROGER side. You should be able to log in, right? We will install the libraries this week and we can have a test run later.
I still can't log in to Roger, but Yan has forwarded the request to Dan.
I kept these separate, and added a second model to BETYdb called 'biocro_regional'. The site level runs still use the NCEP data and weather.csv, so I am not going to deprecate it yet.
biocro.Rscript should be a generic executable that can handle both point and regional runs