Publications by Beni Stocker
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Example Simulation settings Manually select some sites from which we’re going to use the data for evaluation and calibration. mysites <- c("BE-Vie", "DE-Tha", "DK-Sor", "FI-Hyy", "IT-Col", "NL-Loo", "US-MMS", "US-WCr", "US-UMB", "US-Syv", "DE-Hai", "IT-MBo", "US-GLE", "FR-Fon", "NL-Hor", "US-UMd", "AU-Dry", "DE-Obe", "IT-Tor", "US-Wi4") Create...
1451 sym R (10914 sym/33 pcs) 4 img
LUE calculations
Evaluate light use efficiency. Daily data Gather data and create one nice data frame with daily data. if (!exists("out_eval_ORG")) load("./calib_results/out_eval_ORG.Rdata") if (!exists("out_eval_FULL")) load("./calib_results/out_eval_FULL.Rdata") load("~/eval_pmodel/data/obs_eval_NT_WITHFORCING.Rdata") mc <- 12.0107 # molecular mass of carbon...
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Motivation The P-model predicts the “acclimated” response of photosynthetic parameters (Vcmax, Jmax, “average” ci:ca) to the environment and reflects the acclimation process by balanced investments to maintaining the photosynthetic apparatus and transpiration stream (essentially a trade-off between the capacities of light-harvesting and d...
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Motivation The P-model predicts the “acclimated” response of photosynthetic parameters (Vcmax, Jmax, “average” ci:ca) to the environment and reflects the acclimation process by balanced investments to maintaining the photosynthetic apparatus and transpiration stream (essentially a trade-off between the capacities of light-harvesting and d...
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The rbeni package contains a set of functions that let you do standard tasks working with NetCDF files on one line and let you quickly convert the contents of a NetCDF file into a tidy data frame (tibble). Here is a demonstration example. Read Load the package and read the contents of one NetCDF file. library(rbeni) library(tidyverse) # depends...
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Site selection and meta data mysites <- "efg" Required meta information is specified for each site (in rows) and a number of variables: lat for latitude (decimal degrees) lon for longitude (decimal degrees) - this is only used for data ingestion but not for the P-model simulation with rsofun. elv for elevation (m a.s.l.) year_start and year_end ...
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knitr::opts_chunk$set(echo = TRUE) library(tidyverse) ## ── Attaching packages ────────────────────────────────────────────────────────────────────────────────────────�...
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Document
knitr::opts_chunk$set(echo = TRUE) library(tidyverse) ## ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ── ## ✓ ggplot2 3.3.2 ✓ purrr 0.3.4 ## ✓ tibble 3.0.4 ✓ dplyr 1.0.2 ## ✓ tidyr 1.1.2 ✓ stringr 1...
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Description This is to run the same evaluation of GPP simulated by the P-model as done for Stocker et al. (2020), using data from the FLUXNET2015 Tier 1 ensemble. Model forcing and observational GPP data are prepared as detailed in the vignette prepare_inputs_FLUXNET2015_ensemble.Rmd. Respective files are available on Euler XXXpathXXX. This assu...
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Document
Description This is to run the same evaluation of GPP simulated by the P-model as done for Stocker et al. (2020), using data from the FLUXNET2015 Tier 1 ensemble. Model forcing and observational GPP data are prepared as detailed in the vignette prepare_inputs_FLUXNET2015_ensemble.Rmd. Respective files are available on Euler XXXpathXXX. This assu...
1499 sym R (6074 sym/23 pcs) 2 img 2 tbl