DAMM model fitted to FLUXNET sites

v0.1.3

DAMM model fitted to COSORE sites

v0.1.1

FLUXNET2015

All FLUXNET2015 observations (nighttime NEE, \(u_{*}\) filtered, qc = 0) fitted to the DAMM model, for each dataset/site that has soil moisture and temperature data.

The following FLUXNET columns are used: TS_F_MDS_1, SWC_F_MDS_1, and NEE_CUT_USTAR50, with the following filter: NIGHT = 0 and NEE_CUT_USTAR50_QC = 0.

COSORE

All COSORE observations (CSR_CO2_FLUX) fitted to the DAMM model, for each dataset/site that has soil moisture and temperature data.

Raw, half-hourly data, are first binned into 5 quantiles of soil temperature, and then into 5 quantiles of soil moisture for each soil temperature quantile. The median of R is then calculated, giving the dots shown in the figure.

Four of the DAMM parameters are fitted to these binned data: \(\alpha_{sx}\), \(Ea_{sx}\), \(KM_{sx}\) and \(KM_{o2}\). Porosity is set to the maximum soil moisture measured at a given site. \(sx_{tot}\) is set to 0.02 \(gC\) \(cm^{-3}\).

Values of fitted parameters are shown, and a .csv file containing the parameters for all FLUXNET2015 and COSORE sites can be downloaded (soon).

The figure will be updated each time a new version of FLUXNET2015 or COSORE becomes available. Suggestions to improve the figure or data are welcome.

The same analysis and figures will be created with CMIP6 outputs (soon). You can always suggest other database.

If you think of a more efficient or clearer way to write the analysis and visualisation code, your help is welcome. The goal is to continuously improve as a community effort.

A boxplot figure will show the distribution of the parameter values per biome, at ecosystem and soil scale, for measurements and models (soon).

This analysis allows to compare the apparent response of respiration to temperature and moisture at different scales, and between measurements and models. It allows to better understand emergent properties, and identify where and when measurements are needed, or models needs improvement. It also allows to tracks the progress being made as measurements and models evolve.

This effort attempt to continuously reconcile disciplines and scales as a community effort.