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MET_P20_1907.R
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MET_P20_1907.R
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###########################################################################################################################
## Project: NEXTDATA ##
## Parameter: METEO ##
## Script first purpose: create a formatted Level-0 dataset (in EBAS format) from raw data ##
## Script second purpose: create daily acquisition graphs of all instrumentation variables ##
## Run time: the script may run daily (e.g. by using a crontab) or may be used when needed ##
##_______________________________________________________________________________________________________________________##
## Authors: Luca Naitza, Davide Putero ##
## Organization: National Research Council of Italy, Institute for Atmospheric Science and Climate (CNR-ISAC) ##
## Address: Via Gobetti 101, 40129, Bologna, Italy ##
## Project Contact: Paolo Cristofanelli ##
## Email: P.Cristofanelli@isac.cnr.it ##
## Phone number: (+39) 051 639 9597 ##
##_______________________________________________________________________________________________________________________##
## Script filename: MET_P20_1810.R ##
## Version Date: July 2019
## Jul. 31st, 2019: "days_ref" substituted with "dependent_col", i.e., the number of dependent data columns (in the header)
###########################################################################################################################
# > > > > > > > > > > > > > > I N S T R U C T I O N S < < < < < < < < < < < < < < < < < < < < < < < < #
#
# This script consists of several parts and sub-parts.
#
# Part 0 is the setting section, in which the User should replace the marked values (e.g. directory paths)
# Part 0.1 defines environmental variables, such as raw data and destination directories. The user should modify these values.
# Part 0.2 specifies some characteristics of raw data tables, such as file extension, fields separators, etc. The user should
# modify these values according to his/her tables format. If the procedure requires more than one parameter
# setting, Part 0.2 is divided in sub-sub-parts (e.g. 0.2.1 , 0.2.2,...)
# Part 0.3 specifies the characteristics of User Station/Laboratory/Instrument/parameter. Most of these variables are used
# as metadata in the EBAS file format header. The User should provide proper information.
#
# Part 1 is another setting section; it should not be modified by the user unless strictly needed.
# Part 1.1 sets and loads the most commonly used R libraries. The user should not modify this sub-part.
# Part 1.2 specifies the time variables used in the processing. The user should not modify this sub-part. If the user needs
# to apply the script to data older than the current year, he/she may modify the lines explicitly marked for this purpose.
#
# Part 2 is the data processing section, it should not be modified by the user.
# Part 2.x contain the code to produce the EBAS format file and to process data. The User should not modify this sub-part(s).
#
# Part 3 is the data reporting section, it should not be modified by the user.
# Part 3.x contain the code to produce graphic reports. The user should not modify this sub-part(s).
#
# > > > > > > > > > > > > > > > > > > > > > > > > > > > < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < < #
###########################################################################################################################
## # PART 0.1 #
## ______________________________________________________________________________________________________________________##
## Setting environmental variables
## ______________________________________________________________________________________________________________________##
## USE: set the following paths of origin raw data and of destination processing data, replacing values with yours
# WARNING: Proper setting up of the following paths and values is crucial. Please, replace the strings correctly
#
setwd("~/")
# -------- RAW DATA PATH ----------------------------------------------------------------------# REPLACE THE FOLLOWING PATHS
CALIB_DIR = '../naitza/NEXTDATA/PROD/CIMONE/METEO/METEO/RAW_DATA_UTC/CALIB'
RAW_DIR = '../naitza/NEXTDATA/PROD/CIMONE/METEO/METEO/RAW_DATA_UTC'
RAD_RAW_DIR = '../naitza/NEXTDATA/PROD/CIMONE/METEO/RAD_SOL/RAW_DATA_UTC'
#
# -------- DATA DESTINATION PATH --------------------------------------------------------------# REPLACE THE FOLLOWING PATHS
L0_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/LEVEL_0'
L1_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/LEVEL_1'
L2_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/LEVEL_2'
L0_ANCIL_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/LEVEL_0/ANCILLARY'
#
# -------- GRAPH DESTINATION PATH -------------------------------------------------------------# REPLACE THE FOLLOWING PATHS
REP_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/REPORT'
REP_GRAPH_DIR = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/REPORT/DAILY_GRAPH'
PLOT_DIR_M = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/REPORT/MONTHLY_GRAPH'
PLOT_DIR_S = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/REPORT/SEASONAL_GRAPH'
PLOT_DIR_Y = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/REPORT/ANNUAL_GRAPH'
PLOT_DIR_Y_PDF = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/REPORT/ANNUAL_GRAPH/PDF'
PLOT_DIR_T = '../naitza/NEXTDATA/DISTRIBUTION_DIR/CIMONE/METEO/METEO/REPORT/TIMEVARIATION_GRAPH'
#
# -------- DAILY GRAPH PREFIX & SUFFIX -------------------------------------------------------# REPLACE THE FOLLOWING VALUES
DAILY_PREFIX <-"CMN_METEO" # choose a prefix for your daily graph (e.g. StationCodeName_ParameterCodeName)
DAILY_SUFFIX <-"01M" # choose a suffix for your daily graph (e.g. AcquisitionTiming)
#
# -------- SCRIPTS PATH ----------------------------------------------------------------------# REPLACE THE FOLLOWING PATHS
SCRIPT_DIR = '../naitza/NEXTDATA/R_SCRIPT'
## Loading functions for numflags
## The "NXD_numflag_functions_180301.R" scripts assigns the numflag value to the dataset, according to EBAS Flag List
## (https://ebas-submit.nilu.no/Submit-Data/List-of-Data-flags)
## The "NXD_EBAS_numflag_FullList_180103.txt" text file contains the EBAS Flag List, reporting codes, category and description
## Please do NOT apply any change to the following function settings, unless you need to specify a different table of flags
#
source(paste(SCRIPT_DIR,"NXD_numflag_functions_180301.R", sep="/"))
tab_nf <- read.table(file = paste(SCRIPT_DIR,"NXD_EBAS_numflag_FullList_180103.txt",sep="/"),
sep = ";", header = TRUE, quote = NULL)
## # END PART 0.1 #
###########################################################################################################################
###########################################################################################################################
## # PART 0.2.1 #
## ______________________________________________________________________________________________________________________##
## Setting Meteo Data
## ______________________________________________________________________________________________________________________##
## WARNING: Meteo raw data should be recorded according to the following specifications:
## FILENAME: the filename should contain the acquisition date (YYYYMMDD). E.g.: CMN_METEO_20181215_01M.dat;
#
# -------- METEO RAW DATASET EXTENSION ----------------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
METEO_EXT <-".dat" # if different, replace ".dat" with the extesion of your Meteo Raw Data set
#
# -------- METEO RAW DATA FIELD SEPARATOR -------------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
METEO_FIELD_SEP <-" " # if different, replace " " with the field separator of your Meteo Raw Data set (e.g. "," or "\t")
#
# -------- METEO RAW DATA HEADER -----------------------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
METEO_FIELD_NAM <- T # if different, replace "T" with "F" if Meteo Raw Data tables do not have the header (field names)
#
# -------- METEO FIELD POSITION -----------------------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
METEO_DEC_DATE <- 6 # if different, replace with the field position of start_time (julian date) field in your Meteo Raw Data set
METEO_WS <- 9 # if different, replace with the field position of Wind Speed field in your Meteo Raw Data set
METEO_WS_SD <- 10 # if different, replace with the field position of Wind Speed Standard Deviation field in your Meteo Raw Data set
METEO_WD <- 7 # if different, replace with the field position of Wind Direction field in your Meteo Raw Data set
METEO_T <- 11 # if different, replace with the field position of Temperature field in your Meteo Raw Data set
METEO_T_SD <- 12 # if different, replace with the field position of Temperature Standard Deviation field in your Meteo Raw Data set
METEO_RH <- 13 # if different, replace with the field position of Relative Humidity field in your Meteo Raw Data set
METEO_RH_SD <- 14 # if different, replace with the field position of Relative Humidity Standard Deviation field in your Meteo Raw Data set
METEO_P <- 15 # if different, replace with the field position of Pressure field in your Meteo Raw Data set
METEO_P_SD <- 16 # if different, replace with the field position of Pressure Standard Deviation field in your Meteo Raw Data set
#
# -------------------------------------------------------------------------------------------
## # END PART 0.2.1 #
###########################################################################################################################
###########################################################################################################################
## # PART 0.2.2 #
## ______________________________________________________________________________________________________________________##
## Setting Solar Radiation Data
## ______________________________________________________________________________________________________________________##
## USE: set the following values of Solar Radiation dataset
## WARNING: Solar radiation raw data should be recorded according with the following specifics:
## FILENAME: the filename should contain the acquisition date (YYYYMMDD). E.g.: CMN_RAD_SOL_20181215_01M.dat;
#
# -------- METEO RAW DATASET EXTENSION ----------------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
RAD_EXT <-".dat" # if different, replace ".dat" with the extesion of your METEO Raw Data set
#
# -------- METEO RAW DATA FIELD SEPARATOR -------------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
RAD_FIELD_SEP <-" " # if different, replace " " with the field separator of your METEO Raw Data set (e.g. "," or "\t")
#
# -------- METEO RAW DATA HEADER ----------------------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
RAD_FIELD_NAM <- T # if different, replace T with F if METEO Row Data tables do not have the header (filed names)
#
# -------- METEO FIELD POSITION IN THE TABLE -----------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
RAD_DEC_DATE <- 6 # if different, replace with the field position of start_time (julian date) field in your METEO Raw Data set
RAD_SHORTW_D <- 9 # if different, replace with the field position of Short Wave Down field in your METEO Raw Data set
RAD_SHORTW_D_SD <- 10 # if different, replace with the field position of Short Wave Down Standard Deviation field in your METEO Raw Data set
RAD_UVB <- 11 # if different, replace with the field position of UVB field in your METEO Raw Data set
RAD_UVB_SD <- 12 # if different, replace with the field position of UVB Standard Deviation field in your METEO Raw Data set
#
# -------------------------------------------------------------------------------------------
## # END PART 0.2.2 #
###########################################################################################################################
###########################################################################################################################
## # PART 0.3 #
## ______________________________________________________________________________________________________________________##
## Setting time and name variables
## Setting EBAS metadata inrofmation
## ______________________________________________________________________________________________________________________##
# Station/Laboratory/Instrument/parameter variables
#
# -------- EBAS HEADER FILE (METADATA) -----------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
s_code <- "IT0009R" # replace the value with your Station code
s_WDCA_ID <- "GAWANO_CMN" # replace the value with your WDCA ID code
s_GAW_Name <- "Monte Cimone" # replace the value with your Station GAW name
s_GAW_ID <- "CMN" # replace the value with your Station GAW ID
s_lat <- "44.16667" # replace the value with your Station latitude
s_lon <- "10.68333" # replace the value with your Station longitude
s_alt <- "2165m" # replace the value with your Station altitude (meters)
s_l_use <- "Remote park" # replace the value with your Station land use
s_setting <- "Mountain" # replace the value with your Station setting
s_GAW_t <- "G" # replace the value with your Station GAW type
s_WMO_reg <- "6" # replace the value with your Station WMO region
lab_code <- "IT06L" # replace the value with your laboratory code
inst_type <- "aws" # replace the value with your instrument type
inst_manu <- "" # replace the value with your instrument manufacter
inst_modl <- "" # replace the value with your instrument model
inst_name <- "" # replace the value with your your instrument name
inst_s_n <- "" # replace the value with your instrument serial number
dependent_col <- "13" # replace the value with the total number of columns of the file in addition to start_time (i.e., total-1)
component <- "" # replace the value with proper component
matrix <- "met" # replace the value with proper matrix
meas_unit <- "" # replace the value with proper measurement unit
meas_lat <- "44.16667" # replace the value with the your Measure latitude
meas_lon <- "10.68333" # replace the value with the your Measure longitude
meas_alt <- "2165m" # replace the value with the your Measure altitude (meters)
Period_code <- "1y" # replace the value with the proper Period code
Resolution_code <- "1mn" # replace the value with the proper Resolution code
Sample_duration <- "1mn" # replace the value with the proper Sample duration
Orig_time_res <- "1mn" # replace the value with the proper Original time resolution
height <- "5m" # replace the value with Height
# The following variabiles reguard the originator and the submitter names, surnames, emails and addresses
# NOTE: Please, change these variables with proper names, surnames, emails and addresses
#
# -------- ORIGINATORS (set min 1 originator, max 5) ---------------------------------------------------------------# REPLACE THE FOLLOWING VALUES
Origin_1_n <- "Paolo"
Origin_1_s <- "Cristofanelli"
Origin_1_e <- "p.cristofanelli@isac.cnr.it"
Origin_1_i <- "Institute of Atmospheric Sciences and Climate, ISAC,, Via P. Gobetti 101,, I-40129, Bologna, Italy"
Origin_2_n <- "Luca"
Origin_2_s <- "Naitza"
Origin_2_e <- "l.naitza@isac.cnr.it"
Origin_2_i <- "Institute of Atmospheric Sciences and Climate, ISAC,, Via P. Gobetti 101,, I-40129, Bologna, Italy"
Origin_3_n <- "Davide"
Origin_3_s <- "Putero"
Origin_3_e <- "d.putero@isac.cnr.it"
Origin_3_i <- "Institute of Atmospheric Sciences and Climate, ISAC,, Via P. Gobetti 101,, I-40129, Bologna, Italy"
Origin_4_n <- "Francescopiero"
Origin_4_s <- "Calzolari"
Origin_4_e <- "f.calzolari@isac.cnr.it"
Origin_4_i <- "Institute of Atmospheric Sciences and Climate, ISAC,, Via P. Gobetti 101,, I-40129, Bologna, Italy"
Origin_5_n <- ""
Origin_5_s <- ""
Origin_5_e <- ""
Origin_5_i <- ""
# -------- SUBMITTER (set the submitter) --------------------------------------------------------------------------# REPLACE THE FOLLOWING VALUES
#
Submit_1_n <- "Paolo"
Submit_1_s <- "Cristofanelli"
Submit_1_e <- "p.cristofanelli@isac.cnr.it"
Submit_1_i <- "Institute of Atmospheric Sciences and Climate, ISAC,, Via P. Gobetti 101,, I-40129, Bologna, Italy"
mycomment <- ""
#
# Setting the lines of the header
#
if (nchar(Origin_2_n) == 0 && nchar(Origin_3_n) == 0 && nchar(Origin_4_n) == 0 && nchar(Origin_5_n) == 0) { L0_n_lines <- 72 + 0 }
if (nchar(Origin_2_n) > 0 && nchar(Origin_3_n) == 0 && nchar(Origin_4_n) == 0 && nchar(Origin_5_n) == 0) { L0_n_lines <- 72 + 1 }
if (nchar(Origin_2_n) > 0 && nchar(Origin_3_n) > 0 && nchar(Origin_4_n) == 0 && nchar(Origin_5_n) == 0) { L0_n_lines <- 72 + 2 }
if (nchar(Origin_2_n) > 0 && nchar(Origin_3_n) > 0 && nchar(Origin_4_n) > 0 && nchar(Origin_5_n) == 0) { L0_n_lines <- 72 + 3 }
if (nchar(Origin_2_n) > 0 && nchar(Origin_3_n) > 0 && nchar(Origin_4_n) > 0 && nchar(Origin_5_n) > 0) { L0_n_lines <- 72 + 4 }
#
# -------------------------------------------------------------------------------------------
## # END PART 0.3 #
###########################################################################################################################
###########################################################################################################################
## # PART 1.0 #
## ______________________________________________________________________________________________________________________##
## Loading libraries
## ______________________________________________________________________________________________________________________##
## NOTE: some of the following libraries may not be actually used by this script
# Please, do NOT apply any change, if you don't know what you're doing
#
library(data.table)
library(openair)
library(lattice)
library(RColorBrewer)
library(latticeExtra)
library(proto)
library(gsubfn)
library(RSQLite)
library(padr)
library(caTools)
library(zoo)
library(plyr)
library(forecast)
library("sqldf")
library(TTR)
library(ggplot2)
library(reshape2)
library(stringr)
library(png)
## # END PART 1.0 #
###########################################################################################################################
###########################################################################################################################
## # PART 1.1 #
## ______________________________________________________________________________________________________________________##
## Setting time and name variables
## Cleaning destination directory
## ______________________________________________________________________________________________________________________##
# Station/Laboratory/Instrument/parameter variables
# NOTE: Please, change these variables with proper station and parameter information
#
# The following variabiles reguard the parameter and the
# NOTE: Please, do NOT change these variables
#
param_code <- "aws.met.1y.1min"
level_code <- "lev0.nas"
#
# -------------------------------------------------------------------------------------------
# Time variables
# NOTE: the following variables should not be modified, except those with explicit comments
#
questo_anno <-format(Sys.Date(), "%Y")
# -------- PREVIOUS YEAR(S) DATA PROCESSING ---------------------------------------# IF NEEDED, UN-COMMENT THE FOLLOWING LINE
#questo_anno <-as.numeric(questo_anno) -1 # the value "-1" means "last year". Change to "-2" or "-3" etc. for previous
questo_mese <-format(Sys.Date(), "%m")
questo_mese_nome <-format(Sys.Date(), "%B")
questo_giorno <-format(Sys.Date(), "%d")
if (questo_mese == "01" & questo_giorno == "01") { questo_anno == questo_anno-1 }
questo_capodanno <-paste(questo_anno,"01","01",sep="-")
questo_annomesegiorno <-paste(questo_anno,questo_mese,questo_giorno,sep="")
questa_ora <-format(Sys.time(), "%H")
questo_minuto <-format(Sys.time(), "%M")
questo_inizioanno <-paste(questo_anno,"0101000000",sep = "")
questi_dati <-paste(s_code,questo_inizioanno,sep = ".")
questa_start_time <-as.Date(paste(paste(questo_anno,"01","01",sep = "-"), " 00:00:00",sep = ""))
myweekday <-as.POSIXlt(Sys.Date())$wday
questo_startdate <-paste(questo_anno,"0101",sep="")
new_date <-gsub("-","",
gsub(" ","",
gsub(":","",
as.character(strptime(Sys.time(),
format = "%Y - %m - %d %H : %M")))))
new_date_name <-paste(".",new_date,sep="")
rev_datime <-gsub("-","",
gsub(" ","",
gsub(":","",
as.character(strptime(new_date,
format = "%Y%m%d%H%M%S")-3600))))
DATA_OSS <-paste(questo_anno,"01 01")
DATA_REV <-gsub("-"," ",Sys.Date())
DATA_INSERT <-paste(DATA_OSS,DATA_REV,sep=" ")
# -------------------------------------------------------------------------------------------
# File name variables
# NOTE: the following variables should not be modified
#
EBAS_L0_FILENAME <-paste(s_code,questo_inizioanno,rev_datime,param_code,level_code,sep=".")
EBAS_L0_FULLFILENAME <-paste(L0_DIR,EBAS_L0_FILENAME,sep = "/")
EBAS_temp_FILENAME <-paste(L0_DIR,paste("temp_",EBAS_L0_FILENAME,sep=""),sep = "/")
RAD_FULLFILENAME <-paste(L0_DIR,paste("temp_rad_",EBAS_L0_FILENAME,sep=""),sep = "/")
# -------------------------------------------------------------------------------------------
# Check point: printing variables
#
questo_anno
questo_mese
questo_mese_nome
questo_giorno
questo_capodanno
questo_annomesegiorno
questa_ora
questo_minuto
questo_inizioanno
questa_start_time
myweekday
questo_startdate
new_date
new_date_name
rev_datime
EBAS_L0_FILENAME
EBAS_L0_FULLFILENAME
RAD_FULLFILENAME
# # END PART 1.1 #
###########################################################################################################################
###########################################################################################################################
## # PART 2.0 #
## ______________________________________________________________________________________________________________________##
## Creation of Level-0 data file
## Cleaning Destination directory
## Formatting Level-0 header
## ______________________________________________________________________________________________________________________##
# -------------------------------------------------------------------------------------------
# Deleting temporaney files in the destination directory (if present)
#
FILE_TMP <-list.files(path = L0_DIR, pattern = glob2rx("temp_*"),
all.files = FALSE,
full.names = F,
recursive = FALSE,
ignore.case = FALSE,
include.dirs = F,
no.. = FALSE)
LISTA_FILE_TMP <-as.character(FILE_TMP)
LISTA_FILE_TMP
for(f in LISTA_FILE_TMP) { file.remove(paste(L0_DIR,f,sep = "/")) }
#
# -------------------------------------------------------------------------------------------
# Cleaning Destination directory
# NOTE: the following processing deletes old EBAS Level-0 files within the destination directory
#
MYOLD_FILE <-paste(s_code,".",questo_anno,sep = "")
FILE_OLD <-list.files(path = L0_DIR, pattern = glob2rx(paste(MYOLD_FILE,"*",sep = "")),
all.files = FALSE,
full.names = F,
recursive = FALSE,
ignore.case = FALSE,
include.dirs = F,
no.. = FALSE)
FILE_OLD
LISTA_FILE_OLD <-as.character(FILE_OLD)
for(f in LISTA_FILE_OLD) { file.remove(paste(L0_DIR,f,sep = "/")) }
#
# -------------------------------------------------------------------------------------------
# Creating the new EBAS LEVEL-0 data file
# NOTE: the following processing deletes old EBAS Level-0 files within the destination directory
#
write.table(" ", file=EBAS_L0_FULLFILENAME,row.names=F,col.names = F, append = F,sep=" ")
#
# -------------------------------------------------------------------------------------------
# Formatting EBAS LEVEL-0 header and adding information to the data file
# NOTE: information contained in the following lines should be modified with proper station and instrumentation information
#
cat(
paste(L0_n_lines,"1001",sep=" "),
gsub("; $","",gsub("; ;","",paste(paste(Origin_1_n,Origin_1_s,sep=", "),
ifelse(nchar(Origin_2_n)>0,
(paste(Origin_2_n,Origin_2_s,sep=", ")), ""),
ifelse(nchar(Origin_3_n)>0,
(paste(Origin_3_n,Origin_3_s,sep=", ")), ""),
ifelse(nchar(Origin_4_n)>0,
(paste(Origin_4_n,Origin_4_s,sep=", ")), ""),
ifelse(nchar(Origin_5_n)>0,
(paste(Origin_5_n,Origin_5_s,sep=", ")), ""),
sep="; "))),
paste(lab_code, Origin_1_i,sep=", "),
paste(Submit_1_n, Submit_1_s, sep=", "),
"GAW-WDCA, ACTRIS
1 1",
DATA_INSERT,
"0
Days from the file reference point (start_time)",
dependent_col,
"1 1 1 1 1 1 1 1 1 1 1 1 1
9999.999999 99.9 9.999999999 999.9 9.999999999 99.9 9.999999999 999.9 9.999999999 9999.9 9.999999999 99999.9 9.999999999
end_time of measurement, days from the file reference point
wind_speed, m/s, Instrument name=CIM_WS425,Measurement height=5m, Measurement uncertainty=3%, Method ref=IT06L_WS425
numflag wind_speed, no unit
wind_direction, deg, Instrument name=CIM_WS425,Measurement height=5m, Measurement uncertainty=1%, Method ref=IT06L_WS425
numflag wind_direction, no unit
temperature, deg C, Instrument name=CIM_Rotronic, Measurement height= 1m, Measurement uncertainty=2%, Method ref=IT06L_Rotronic
numflag temperature, no unit
relative_humidity, %, Instrument name=CIM_Rotronic, Measurement uncertainty=1%, Method ref=IT06L_Rotronics
numflag relative_humidity, no unit
pressure, hPa, Measurement uncertainty=2.5%, Instrument name=CIM_Technoel, Method ref=IT06L_Technoel
numflag pressure, no unit
downward_solar_radiation_flux_density, W/m2, Instrument name=CMN_SkyeSKS110, Measurement uncertainty=5%, Method ref=IT06L_SKS110
numflag downward_solar_radiation_flux_density, no unit
0",
(L0_n_lines - 27),
"Data definition: EBAS_1.1
Data level: 0
Version: 1
Version description: initial revision
Set type code: TI",
paste("Station code: ",s_code,sep=""),
paste("Platform code: ",gsub("R","S",s_code)),
"Timezone: UTC",
paste("Startdate: ",questo_inizioanno[1],sep=""),
paste("Revision date: ",as.numeric(new_date)-7200,sep=""),
paste("Component: ",component,sep=""),
paste("Matrix: ",matrix,sep=""),
paste("Unit: ",meas_unit,sep=""),
paste("Period code: ",Period_code,sep=""),
paste("Resolution code: ",Resolution_code,sep=""),
paste("Sample duration: ",Sample_duration,sep=""),
paste("Orig. time res.: ",Orig_time_res,sep=""),
paste("Laboratory code: ",lab_code,sep=""),
paste("Instrument type: ",inst_type,sep=""),
paste("Instrument manufacturer: ",inst_manu,sep=""),
paste("Instrument model: ",inst_modl,sep=""),
paste("Instrument name: ",inst_name,sep=""),
paste("Instrument serial number: ",inst_s_n,sep=""),
paste("Method ref: ","",sep=""),
paste("File name: ",EBAS_L0_FILENAME,sep=""),
paste("File creation: ",rev_datime[1],sep=""),
paste("Station WDCA-ID: ",s_WDCA_ID,sep=""),
paste("Station GAW-Name: ",s_GAW_Name,sep=""),
paste("Station GAW-ID: ",s_GAW_ID,sep=""),
paste("Station latitude: ",s_lat,sep=""),
paste("Station longitude: ",s_lon,sep=""),
paste("Station altitude: ",s_alt,sep=""),
paste("Station land use: ",s_l_use,sep=""),
paste("Station setting: ",s_setting,sep=""),
paste("Station GAW type: ",s_GAW_t,sep=""),
paste("Station WMO region: ",s_WMO_reg,sep=""),
paste("Measurement latitude: ",meas_lat,sep=""),
paste("Measurement longitude: ",meas_lon,sep=""),
paste("Measurement altitude: ",meas_alt,sep=""),
paste("Measurement Height: ",height,sep=""),
paste("Originator: ",paste(Origin_1_n,Origin_1_s,Origin_1_e,Origin_1_i,sep=", "),sep=""),
paste("Originator: ",paste(Origin_2_n,Origin_2_s,Origin_2_e,Origin_2_i,sep=", "),sep=""),
paste("Originator: ",paste(Origin_3_n,Origin_3_s,Origin_3_e,Origin_3_i,sep=", "),sep=""),
if(nchar(Origin_4_n)>0) {paste("Originator: ",paste(Origin_4_n,Origin_4_s,Origin_4_e,Origin_4_i,sep=", "),sep="")},
if(nchar(Origin_5_n)>0) {paste("Originator: ",paste(Origin_5_n,Origin_5_s,Origin_5_e,Origin_5_i,sep=", "),sep="")},
paste("Submitter: ",paste(Submit_1_n,Submit_1_s,Submit_1_e,Submit_1_i,sep=", "),sep=""),
paste("Comment: ",mycomment,sep=""),
"Acknowledgement: Request acknowledgment details from data originator",
paste("start_time","end_time","wind_speed","numflag_wind_speed","wind_direction","numflag_wind_direction","temperature","numflag_temperature","relative_humidity","numflag_relative_humidity","pressure","numflag_pressure","global_radiation","numflag_global_radiation",sep=" "),
file=EBAS_L0_FULLFILENAME, append=F, sep = "\n")
## # END PART 2.0 #
###########################################################################################################################
###########################################################################################################################
## # PART 2.1 #
## ______________________________________________________________________________________________________________________##
## Importing raw data
## Processing, manipulation, transformation of raw data
## Level-0 data flagging
## Writing data in Level-0 data file (EBAS format)
## ______________________________________________________________________________________________________________________##
# Importing raw data
#
# -------------------------------------------------------------------------------------------
# Listing the METEO Raw data
#
RAD_lsfiles <-file.info(dir(RAD_RAW_DIR, pattern = glob2rx(paste0("*",RAD_EXT)), full.names = F, ignore.case = TRUE))
RAD_lista <-data.frame(RAD_lsfiles[order(RAD_lsfiles$mtime),])
setDT(RAD_lista, keep.rownames = T)[]
names(RAD_lista)[1] <-"fileName"
df_RAD_lista <-data.frame(RAD_lista[fileName %like% questo_anno])
names(df_RAD_lista)[1] <-"fileName"
df_RAD_lista$mydata <-df_RAD_lista
RAD_data <-NROW(df_RAD_lista)
# -------------------------------------------------------------------------------------------
# Creating temporany RAD dataset for current year
#
for(m in df_RAD_lista$fileName)
{
RAD_ULTIMO_DATO <-paste(RAD_RAW_DIR,m, sep="/")
RAD_ULTIMO_DATO_NAME <-basename(RAD_ULTIMO_DATO)
RAD_TABELLA <-read.table(file=RAD_ULTIMO_DATO,fill = T, header = RAD_FIELD_NAM, row.names=NULL)
names(RAD_TABELLA)[RAD_DEC_DATE] <-"start_time"
names(RAD_TABELLA)[RAD_SHORTW_D] <-"ShortW_D"
names(RAD_TABELLA)[RAD_UVB] <-"UVB"
if(RAD_SHORTW_D_SD == 0) { RAD_TABELLA$SD_ShortW_D <- sd(RAD_TABELLA$ShortW_D)}
else { names(RAD_TABELLA)[RAD_SHORTW_D_SD]<-"SD_ShortW_D" }
if(RAD_UVB_SD == 0) { RAD_TABELLA$SD_UVB <- sd(RAD_TABELLA$UVB)}
else { names(RAD_TABELLA)[RAD_UVB_SD] <-"SD_UVB" }
RAD_TABELLA$end_time <-RAD_TABELLA$start_time + 0.00069444
RAD_TABELLA$code <- sub(" ","",paste("code",sprintf("%.6f",RAD_TABELLA$start_time),sep="_"))
RAD_TABELLA <-RAD_TABELLA[,c("start_time","end_time","ShortW_D","SD_ShortW_D","UVB","SD_UVB", "code")]
write.table(RAD_TABELLA, file=RAD_FULLFILENAME,row.names=F,col.names = F, append = T, quote = F,sep= RAD_FIELD_SEP)
}
RAD_data <-read.table(RAD_FULLFILENAME)
colnames(RAD_data) <-c("start_time","end_time","ShortW_D","SD_ShortW_D","UVB","SD_UVB", "code")
#
# -------------------------------------------------------------------------------------------
# Listing the METEO Raw data
#
lsfiles <-file.info(dir(RAW_DIR, pattern = glob2rx(paste0("*",METEO_EXT)), full.names = F, ignore.case = TRUE))
lista <-data.frame(lsfiles[order(lsfiles$mtime),])
setDT(lista, keep.rownames = T)[]
names(lista)[1] <-"fileName"
df_lista <-data.frame(lista[fileName %like% questo_anno])
names(df_lista)[1] <-"fileName"
df_lista$mydata <-df_lista
ndata <- NROW(df_lista)
#
# -------------------------------------------------------------------------------------------
# Creating temporany METEO dataset for current year
#
for(j in df_lista$fileName) {
ULTIMO_DATO <-paste(RAW_DIR,j, sep="/")
ULTIMO_DATO_NAME <-basename(ULTIMO_DATO)
TABELLA <-read.table(file=ULTIMO_DATO,fill = T, header = METEO_FIELD_NAM, row.names=NULL)
names(TABELLA)[METEO_DEC_DATE] <-"start_time"
names(TABELLA)[METEO_WS] <-"WS"
names(TABELLA)[METEO_WS_SD] <-"SD_WS"
names(TABELLA)[METEO_WD] <-"WD"
names(TABELLA)[METEO_T] <-"T"
names(TABELLA)[METEO_T_SD] <-"SD_T"
names(TABELLA)[METEO_RH] <-"RH"
names(TABELLA)[METEO_RH_SD] <-"SD_RH"
names(TABELLA)[METEO_P] <-"P"
names(TABELLA)[METEO_P_SD] <-"SD_P"
TABELLA$end_time <-as.numeric(TABELLA$start_time) + 0.00069444
TABELLA$code <-as.character(gsub(" ","",paste("code",sprintf("%.6f",TABELLA$start_time),sep="_")))
TABELLA$numflag <- 0
TABELLA <-TABELLA[,c("code","start_time","end_time","WS","SD_WS","WD","T","SD_T","RH","SD_RH", "P", "SD_P")]
write.table(TABELLA, file=EBAS_temp_FILENAME,row.names=F,col.names = F, append = T, quote = F,sep=" ")
}
TABELLA <-read.table(EBAS_temp_FILENAME)
colnames(TABELLA) <-c("code","start_time","end_time","WS","SD_WS","WD","T","SD_T","RH","SD_RH", "P", "SD_P")
#
# -------------------------------------------------------------------------------------------
# Merging METEO and RAD Data
#
myEBAS <- merge(x = TABELLA[,c("code","start_time","end_time","WS","SD_WS","WD","T","SD_T","RH","SD_RH", "P", "SD_P")],
y = RAD_data[,c("ShortW_D","SD_ShortW_D","UVB","SD_UVB", "code")], by = "code", all.x = TRUE)
myEBAS <- myEBAS[order(myEBAS$start_time),]
myEBAS <- myEBAS[,c("start_time","end_time","WS","SD_WS","WD","T","SD_T","RH","SD_RH", "P", "SD_P","ShortW_D","SD_ShortW_D","UVB","SD_UVB")]
#
# -------------------------------------------------------------------------------------------
# Creating numflag columns
#
myEBAS$ws_flag <-0
myEBAS$wd_flag <-0
myEBAS$t_flag <-0
myEBAS$rh_flag <-0
myEBAS$p_flag <-0
myEBAS$grad_flag <-0
#
# -------------------------------------------------------------------------------------------
# Adding date to data sheet
#
jd <-as.integer(myEBAS$start_time)
day <-as.Date(as.numeric(myEBAS$start_time), origin=questa_start_time)
time.dec <-as.numeric(myEBAS$start_time)-jd
time <-time.dec*1440
hour <-as.integer(time/60)
min <-as.integer(time-hour*60)
myEBAS$date <-paste(day," ",hour,":",min,":00",sep="")
myEBAS$date <-as.POSIXct(strptime(myEBAS$date, format = "%Y-%m-%d %H:%M:%S", tz = "GMT"))
#
# Calculating radiation difference
#
global_radiation_diff <-diff(as.numeric(myEBAS$ShortW_D))
global_radiation_diff[length(myEBAS$ShortW_D)] <-0
myEBAS$global_radiation_diff <-global_radiation_diff
#
# -------------------------------------------------------------------------------------------
# Flagging global radiation invalid values based on diffrence
#
qnt_rs <-quantile(as.numeric(myEBAS$global_radiation_diff), probs=c(.05, .95), na.rm = T)
myEBAS$grad_flag[myEBAS$global_radiation_diff < qnt_rs[1]] <- 0.999
myEBAS$grad_flag[myEBAS$global_radiation_diff > qnt_rs[2]] <- 0.999
myEBAS$grad_flag[myEBAS$ShortW_D < -10] <- 0.999
myEBAS$grad_flag[myEBAS$ShortW_D > 1600] <- 0.999
#
# -------------------------------------------------------------------------------------------
# Calculating night time radiation
#
global_radiation_night <-timeAverage(subset(myEBAS,hour<4 & grad_flag <0.400),
data.tresh=0,
avg.time = "day",
pollutant="ShortW_D")
global_radiation_night <-global_radiation_night[,c("date","ShortW_D")]
names(global_radiation_night)[2] <-"global_radiation_night"
global_radiation_night$global_radiation_night[1]<-0.00
global_radiation_night$global_radiation_night <-na.interp(global_radiation_night$global_radiation_night)
#
myEBAS <-merge(myEBAS,global_radiation_night,by = "date", all = TRUE)
myEBAS$global_radiation_night <-na.interp(myEBAS$global_radiation_night)
myEBAS$global_radiation_night <-as.numeric(myEBAS$global_radiation_night)
#
myEBAS$grad_flag[myEBAS$global_radiation_night > 50] <- 0.999
myEBAS$grad_flag[myEBAS$global_radiation_night < -10] <- 0.999
#
# -------------------------------------------------------------------------------------------
# Setting up null values
#
myEBAS$WS[is.na(myEBAS$WS)] <- 99.9
myEBAS$WD[is.na(myEBAS$WD)] <- 999.9
myEBAS$T[is.na(myEBAS$T)] <- 99.9
myEBAS$RH[is.na(myEBAS$RH)] <- 999.9
myEBAS$P[is.na(myEBAS$P)] <- 9999.9
myEBAS$ShortW_D[is.na(myEBAS$ShortW_D)] <- 9999.9
#
# -------------------------------------------------------------------------------------------
# Setting up null values
#
myEBAS$ws_flag[myEBAS$WS > 100] <- 0.456000000000
myEBAS$ws_flag[myEBAS$WS < 0] <- 0.456000000000
myEBAS$ws_flag[myEBAS$WD > 360] <- 0.456000000000
myEBAS$ws_flag[myEBAS$WD < 0] <- 0.456000000000
myEBAS$t_flag[myEBAS$T > 50] <- 0.456000000000
myEBAS$t_flag[myEBAS$T < -40] <- 0.456000000000
myEBAS$rh_flag[myEBAS$RH > 105] <- 0.456000000000
myEBAS$rh_flag[myEBAS$RH < 0.5] <- 0.456000000000
myEBAS$p_flag[myEBAS$P > 1100] <- 0.456000000000
myEBAS$p_flag[myEBAS$P < 750] <- 0.456000000000
myEBAS$p_flag[myEBAS$SD_P >1] <- 0.456000000000
myEBAS$t_flag[myEBAS$SD_T >2] <- 0.456000000000
myEBAS$rh_flag[myEBAS$SD_RH >5] <- 0.456000000000
myEBAS$ws_flag[!is.na(myEBAS$SD_WS) & myEBAS$SD_WS >10] <- 0.456000000000
myEBAS$ws_flag[!is.na(myEBAS$SD_WD) & myEBAS$SD_WD ==0] <- 0.456000000000
myEBAS$grad_flag[myEBAS$global_radiation_diff < qnt_rs[1] | myEBAS$global_radiation_diff > qnt_rs[2]] <- 0.999000000000
myEBAS$grad_flag[myEBAS$SD_ShortW_D < -10 | myEBAS$SD_ShortW_D > 1600] <- 0.999000000000
#
myEBAS <- myEBAS[c("start_time","end_time"
,"WS","ws_flag"
,"WD","wd_flag"
,"T","t_flag"
,"RH","rh_flag"
,"P","p_flag"
,"ShortW_D","grad_flag"
)]
#
# Removing possibile errors and duplicates
#
myEBAS <-myEBAS[!is.na(myEBAS$start_time),]
myEBAS <-myEBAS[!duplicated(myEBAS[1]), ]
#
# -------------------------------------------------------------------------------------------
# Writting the final Data set
# Formatting the output matrix as required by EBAS format Level-0
#
# Set the proper output format
sprintf_formats <-c(rep("%.6f", 2), "%.1f", "%.9f", "%.1f", "%.9f" , "%.1f", "%.9f" , "%.1f", "%.9f" , "%.1f", "%.9f" , "%.1f", "%.9f")
myEBAS[] <-mapply(sprintf, sprintf_formats, myEBAS)
#
# Appending Data set to EBAS Level-0 Header
#
write.table(myEBAS, file=EBAS_L0_FULLFILENAME,row.names=F,col.names = F, append = T, quote = F,sep=" ")
# -------------------------------------------------------------------------------------------
# Deleting temporaney files in the destination directory (if present)
#
FILE_TMP <-list.files(path = L0_DIR, pattern = glob2rx("temp_*"), all.files = FALSE,
full.names = F, recursive = FALSE,
ignore.case = FALSE, include.dirs = F, no.. = FALSE)
LISTA_FILE_TMP <-as.character(FILE_TMP)
LISTA_FILE_TMP
for(f in LISTA_FILE_TMP) { file.remove(paste(L0_DIR,f,sep = "/")) }
# -------------------------------------------------------------------------------------------
## # END PART 2.1 #
###########################################################################################################################
##>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>> DAILY GRAPH REPORTING <<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<<##
###########################################################################################################################
## # PART 3.0 #
## ______________________________________________________________________________________________________________________##
## Loading data and setting variables
## Timeplot
## ______________________________________________________________________________________________________________________##
# Extracting the calendar day from strat_time
#
REPORTAB <-myEBAS[, c("start_time",
"WS",
"WD",
"T" ,
"RH",
"P" ,
"ShortW_D")]
REPORTAB[] <-lapply(REPORTAB, function(x) as.numeric(as.character(x)))
REPORTAB$day <-REPORTAB$start_time-(REPORTAB$start_time-floor(REPORTAB$start_time)-1)
REPORTAB$date <-as.POSIXct(as.Date(REPORTAB$start_time, origin = questo_capodanno))
reportday <-c(REPORTAB[!duplicated(REPORTAB[,c('day')]),]$day)
print(reportday) # check point: print the days in the table
# -------------------------------------------------------------------------------------------
# Creating Visual Inspection Graphs for each calendar day
#
for (d in reportday)
{
THISREPORTTAB <-subset(REPORTAB, day==d)
reportdate <-strptime(paste(questo_anno, d), format="%Y %j")
mydatename <-paste(DAILY_PREFIX,gsub("-","",substring(reportdate,1,10)),DAILY_SUFFIX,sep = "_")
ULTIMO_DATO_PNG <-paste(paste(REP_GRAPH_DIR,mydatename,sep="/"),
"png", sep=".")
if (file.exists(ULTIMO_DATO_PNG)){}
else {
png(file = ULTIMO_DATO_PNG,width=10000,height=15000,res=1000)
timePlot(THISREPORTTAB,pollutant=c("WS",
"WD",
"T" ,
"RH",
"P" ,
"ShortW_D"
),cex=25,date.breaks=15, y.relation="free", key = FALSE, fontsize = 14)
dev.off()
}
}
## # END PART 3.0 #
###########################################################################################################################
# #
## End of MET_P20_1810.R #
# #
###################################################################################### Authors: L u C A, Davide ###########