Publications by Yunpeng Luo
gpp data consistence checking
compare the p-model modelled gpp from different source–>since there seems some different pattern between gpp_obs and gpp_model in Stocker et al., 2020 and current results r set up library(tidyverse) library(lubridate) source("../R/frost_hardiness.R") source("../R/model_hardening_byBeni.R") load the data #load the data uploaded by Koen df_...
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parameterization-->for each site
In this script,using Beni’s stress function To select some sites to test if the parameter calibration works for each site–> which serve as a baseline to find a solution that could calibrate all the sites: selection crition and selected sites: - criterion: have long period of observed gpp data; from different climate and veg types - selected s...
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updated BESS GPP
comparing the GPP from EC towers and GPP from BESS model(sent by Jiangong): ## $CA.Man ## ## $CA.NS2 ## ## $CA.NS4 ## ## $CA.NS5 ## ## $CA.Qfo ## ## $DE.Hai ## ## $FI.Hyy ## ## $IT.Tor ## ## $US.Syv ## ## $US.UMB ## ## $US.UMd ## ## $US.Var ## ## $US.WCr ## ## $US.Wi3 ...
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oriBESS
comparing the GPP from EC towers and GPP from BESS model(sent by Jiangong): ## $CA.Man ## ## $CA.NS2 ## ## $CA.NS4 ## ## $CA.NS5 ## ## $CA.Qfo ## ## $DE.Hai ## ## $FI.Hyy ## ## $IT.Tor ## ## $US.Syv ## ## $US.UMB ## ## $US.UMd ## ## $US.Var ## ## $US.WCr ## ## $US.Wi3 ...
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three sites with both having the gpp overestimation and non-overestimation years
Description After exploring the general pattern of modelling GPP vs observational GPP, the next step to identify the specific period when the mismatch between modeled GPP and observed GPP in each site–> In this file, we focused three sites where identified with some years have gpp overestimation while some years not. The three selected sites ar...
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using original p-model GPP
Description: comparing the variables in “event” and “non-event” site years after aligning the data using the data from oringal P-model gpp ## [1] "dimensions of instances before merging short periods" ## [1] 237 2 ## [1] "dimensions of instances after merging short periods" ## [1] 207 2 ## [1] "ok" ## [1] "dimensions of instances...
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using updated p-model GPP
Description: comparing the variables in “event” and “non-event” site years after aligning the data using the data from update P-model gpp ## [1] "dimensions of instances before merging short periods" ## [1] 113 2 ## [1] "dimensions of instances after merging short periods" ## [1] 104 2 ## [1] "ok" ## [1] "dimensions of instances ...
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updated stress functions for MF
In this script,using updated Beni’s stress function(I also embedded the day length into function) here test MF -for different PFTs: r setup (1) read data #load the data uploaded by Koen df_recent <- readRDS("../data/model_data.rds") %>% mutate( year = format(date, "%Y") ) %>% na.omit() #load the data Beni sent me before: df_...
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updated stress functions for ENF
In this script,using updated Beni’s stress function(I also embedded the day length into function) here test ENF -for different PFTs: r setup (1) read data #load the data uploaded by Koen df_recent <- readRDS("../data/model_data.rds") %>% mutate( year = format(date, "%Y") ) %>% na.omit() #load the data Beni sent me before: df...
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updated stress functions for DBF
In this script,using updated Beni’s stress function(I also embedded the day length into function) first test DBF -for different PFTs: r setup (1) read data #load the data uploaded by Koen df_recent <- readRDS("../data/model_data.rds") %>% mutate( year = format(date, "%Y") ) %>% na.omit() #load the data Beni sent me before: d...
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