p_model_validation {rsofun} | R Documentation |
rsofun P-model GPP validation data
Description
Small example dataset of target observations (daily GPP flux data) to optimize
model parameters with the function calib_sofun
Usage
p_model_validation
Format
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)
p_model_validation %>% tidyr::unnest(data)
[Package rsofun version 5.0.0 Index]