Publications by Beni Stocker
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knitr::opts_chunk$set(echo = TRUE) library(tidyverse) ## ── Attaching packages ────────────────────────────────────────────────────────────────────────────────────────�...
2256 sym R (17491 sym/93 pcs) 19 img
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knitr::opts_chunk$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...
2606 sym R (40440 sym/199 pcs) 41 img
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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...
1499 sym R (6074 sym/23 pcs) 2 img 2 tbl
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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...
1499 sym R (6074 sym/23 pcs) 2 img 2 tbl
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Motivation The P-model predicts the “acclimated” response of photosynthetic parameters and stomatal sensitivity (Vcmax, Jmax, \(\xi\)) 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-har...
4359 sym R (2731 sym/11 pcs) 9 img
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Read in df <- read_csv("~/data/gcme/data_received_190325/NewData_wide_CORRECTED2.csv") %>% # something is wrong in columns ambient_Sd, ambient_Se, elevated... mutate( ambient_Sd = as.numeric(ambient_Sd), ambient_Se = as.numeric(ambient_Se), elevated_Sd = as.numeric(elevated_Sd), elevated_Se = as.numeric(elevated_Se) ) # save e...
1413 sym R (22899 sym/76 pcs) 21 img 2 tbl
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Load data Load modelled and observed from global calibration at tag v4.2. Subset to required sites only. out_eval <- read_rds("~/data/rsofun_benchmarking/out_eval_v4.2.rds") ## add modelled and observed to dates and sites required for this here ddf <- read_rds("data/df_output_rsofun.rds") %>% dplyr::select(sitename, data) %>% unnest(data) ...
576 sym R (4355 sym/11 pcs) 7 img
photocold site selection
Select sites with a winter-dormant climate (temperate and boreal) without dry season. Cfa, Cfb, Cfc Dfa, Dfb, Dfc, Dfd Use only forests. That is classid: GRA MF ENF DBF DNF df_sites <- siteinfo_fluxnet2015 %>% filter(koeppen_code %in% c("Cfa", "Cfb", "Cfc", "Dfa", "Dfb", "Dfc", "Dfd") & classid %in% c("MF", "ENF", "DBF", "DNF"))...
298 sym R (688 sym/4 pcs) 2 tbl
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Read in df <- read_csv("~/data/gcme/data_received_190325/NewData_wide_CORRECTED2.csv") %>% # something is wrong in columns ambient_Sd, ambient_Se, elevated... mutate( ambient_Sd = as.numeric(ambient_Sd), ambient_Se = as.numeric(ambient_Se), elevated_Sd = as.numeric(elevated_Sd), elevated_Se = as.numeric(elevated_Se) ) # save e...
1276 sym R (15851 sym/33 pcs) 7 img 2 tbl
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When reading the files you sent me, some data is missing. source sland beta_gpp beta_reco nrf CABLE 3.875213 0.8191375 0.8025959 8.7791036 CLASS_CTEM 3.204068 0.4930046 0.4030876 0.9971417 CLM 2.240896 0.3903936 0.3515676 2.7268429 DLEM 2.288555 0.6974570 0.6394701 2.3818175 ISAM 2.291047 0.6654760 0.6007053 0.5101950 JSBACH 3.038597 0.616...
779 sym R (4186 sym/16 pcs) 5 img 1 tbl