p_model_validation: SOFUN p-model GPP validation data

p_model_validationR Documentation

SOFUN p-model GPP validation data

Description

Small tests dataset to validate calibration routines for a time series of fluxes.

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) 


stineb/rsofun documentation built on April 29, 2024, 1:29 p.m.