This is the NetCDF file for cycle 131 of Argo float 2902204, downloaded from
ftp://ftp.ifremer.fr/ifremer/argo/dac/incois/2902204/profiles/SR2902204_131.nc
on 2020 June 24.
As its filename indicates, it holds the "synthetic" version of "real-time" data.
Other raw datasets:
D4900785_048.nc,
R3901602_163.nc,
SD5903586_001.nc
library(argoFloats)
a <- readProfiles(system.file("extdata", "SR2902204_131.nc", package="argoFloats"))
#> Warning: Of 1 profiles read, 1 has >10% of BBP700 values with QC flag of 4, signalling bad data.
#> The indices of the bad profiles are as follows.
#> 1
#> Warning: Of 1 profiles read, 1 has >10% of chlorophyllA values with QC flag of 4, signalling bad data.
#> The indices of the bad profiles are as follows.
#> 1
#> Warning: Of 1 profiles read, 1 has >10% of oxygen values with QC flag of 4, signalling bad data.
#> The indices of the bad profiles are as follows.
#> 1
#> Warning: Of 1 profiles read, 1 has >10% of pressure values with QC flag of 4, signalling bad data.
#> The indices of the bad profiles are as follows.
#> 1
summary(a)
#> argoFloats summary
#> ------------------
#>
#> * type: argos
#> * contains 1 objects
#> * Processing Log
#>
#> - 2024-04-17 12:22:28 UTC: `create 'argoFloats' object`
#> - 2024-04-17 12:22:28 UTC: `readProfiles(profiles = system.file("extdata", "SR2902204_131.nc", package = "argoFloats"))`
summary(a[[1]])
#> Argo Summary
#> ------------
#>
#> * Source: "/Users/runner/work/_temp/Library/argoFloats/extdata/SR2902204_131.nc"
#> * ID: "2902204"
#> * Feature type: "trajectoryProfile"
#> * Profiles: 0 delayed; 0 adjusted; 0 realtime
#> * Time: 2018-01-23 18:18:35
#> * Data Overview
#>
#> Min. Mean Max. Dim. NAs OriginalName
#> latitude [°N] 21.041 21.041 21.041 1 0 LATITUDE
#> longitude [°E] 66.67 66.67 66.67 1 0 LONGITUDE
#> pressure [dbar] 3.99 253.15 528.2 335x1 0 PRES
#> pressureAdjusted [dbar] 4.03 253.19 528.24 335x1 0 PRES_ADJUSTED
#> pressureAdjustedError [dbar] NA NA NA 335x1 335 PRES_ADJUSTED_ERROR
#> temperature [°C, ITS-90] 12.826 17.617 24.504 335x1 0 TEMP
#> temperatureAdjusted [°C, ITS-90] 12.826 17.617 24.504 335x1 0 TEMP_ADJUSTED
#> temperatureAdjustedError [°C, ITS-90] NA NA NA 335x1 335 TEMP_ADJUSTED_ERROR
#> salinity [PSS-78] 35.582 35.94 36.224 335x1 0 PSAL
#> salinityAdjusted [PSS-78] 35.582 35.94 36.224 335x1 0 PSAL_ADJUSTED
#> salinityAdjustedError [PSS-78] NA NA NA 335x1 335 PSAL_ADJUSTED_ERROR
#> oxygen [μmol/kg] -0.65686 35.741 200.11 335x1 263 DOXY
#> oxygenAdjusted [μmol/kg] NA NA NA 335x1 335 DOXY_ADJUSTED
#> oxygenAdjustedError [μmol/kg] NA NA NA 335x1 335 DOXY_ADJUSTED_ERROR
#> chlorophyllA 0.0511 0.35557 2.0878 335x1 263 CHLA
#> chlorophyllAAdjusted NA NA NA 335x1 335 CHLA_ADJUSTED
#> chlorophyllAAdjustedError NA NA NA 335x1 335 CHLA_ADJUSTED_ERROR
#> BBP700 0.00032344 0.00070775 0.0018912 335x1 263 BBP700
#> BBP700Adjusted NA NA NA 335x1 335 BBP700_ADJUSTED
#> BBP700AdjustedError NA NA NA 335x1 335 BBP700_ADJUSTED_ERROR
#>
#> * Data-quality Flag Scheme
#>
#> name "argo"
#> mapping list(not_assessed=0, passed_all_tests=1, probably_good=2, probably_bad=3, bad=4, changed=5, not_used_6=6, not_used_7=7, estimated=8, missing=9)
#> default c(0, 3, 4, 6, 7, 9)
#>
#> * Data-quality Flags
#>
#> pressure: "1" 263, "3" 72
#> pressureAdjusted: "1" 263, "3" 1, "8" 71
#> temperature: "1" 263, "3" 1, "8" 71
#> temperatureAdjusted: "1" 263, "3" 1, "8" 71
#> salinity: "1" 263, "3" 1, "8" 71
#> salinityAdjusted: "1" 263, "3" 1, "8" 71
#> oxygen: "1" 37, "3" 1, "4" 34
#> oxygenAdjusted: NA 335
#> chlorophyllA: "0" 72
#> chlorophyllAAdjusted: NA 335
#> BBP700: "0" 72
#> BBP700Adjusted: NA 335
#>
#> * Processing Log
#>
#> - 2024-04-17 12:22:28 UTC: `create 'argo' object`
#> - 2024-04-17 12:22:28 UTC: `initializeFlagScheme(object, name="argo", mapping=list(not_assessed=0,passed_all_tests=1,probably_good=2,probably_bad=3,bad=4,changed=5,not_used_6=6,not_used_7=7,estimated=8,missing=9)), default=c(0,3,4,9))`
#> - 2024-04-17 12:22:28 UTC: `read.argo(file="/Users/runner/work/_temp/Library/argoFloats/extdata/SR2902204_131.nc")`
#> - 2024-04-17 12:22:28 UTC: `override existing flagScheme to be mapping=list(not_assessed=0, passed_all_tests=1, probably_good=2, probably_bad=3, bad=4, changed=5, not_used_6=6, not_used_7=7, estimated=8, missing=9)), default=c(0, 3, 4, 9)`