Small tests dataset to validate calibration routines for a time series of fluxes.
p_model_validationFormat
A tibble of validation data:
- sitename
A character string containing the site name (e.g. 'FR-Pue').
- data
A tibble [ 2,920 x 3 ] with time series for the following variables:
- date
Date vector with format YYYY-MM-DD.
- gpp
The observed Gross Primary Productivity (GPP) for each time stamp (in gC m\(^{-2}\) d\(^{-1}\)).
- gpp_unc
The uncertainty of the GPP (in gC m\(^{-2}\) d\(^{-1}\)).
Source
Pastorello, G., Trotta, C., Canfora, E. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci Data 7, 225 (2020). https://doi.org/10.1038/s41597-020-0534-3
Examples
require(ggplot2); require(tidyr)
#> Loading required package: ggplot2
#> Loading required package: tidyr
p_model_validation %>% tidyr::unnest(data)
#> # A tibble: 2,190 × 4
#> sitename date gpp gpp_unc
#> <chr> <date> <dbl> <dbl>
#> 1 FR-Pue 2007-01-01 2.21 0.0108
#> 2 FR-Pue 2007-01-02 2.23 0.00475
#> 3 FR-Pue 2007-01-03 2.48 0.00727
#> 4 FR-Pue 2007-01-04 1.71 0.00516
#> 5 FR-Pue 2007-01-05 2.61 0.00764
#> 6 FR-Pue 2007-01-06 2.85 0.00610
#> 7 FR-Pue 2007-01-07 2.80 0.0164
#> 8 FR-Pue 2007-01-08 1.90 0.0116
#> 9 FR-Pue 2007-01-09 3.42 0.0147
#> 10 FR-Pue 2007-01-10 0.651 0.0151
#> # ℹ 2,180 more rows