A partir d'un fichier netcdf et des packages ncdf4, ggplot2 et dplyr, j'aimerais faire une représentation graphique de ma température en fonction du temps. Pour cela j'utilise un fichier netcdf qui est une extraction de la variable température (TEMP) seulement à partir d'un gros fichier source netcdf. C'est un fichier représentant le mois d'avril, j'aimerais faire un graphique de l'évolution de la température jour après jour.
Mon message d'erreur est Error in temperature[4, ] : nombre de dimensions incorrect.
Je ne comprends pas où je me trompe dans la définition de mon nombre de dimensions.
Pour vous aiguiller, je vous copie mon code également un print de mon fichier.
Merci par avance pour votre aide !
Code : Tout sélectionner
print(temp)
File MENOR_avril_temp.nc (NC_FORMAT_NETCDF4_CLASSIC):
3 variables (excluding dimension variables):
double longitude[ni,nj]
standard_name: longitude
long_name: longitude
units: degrees_east
_CoordinateAxisType: Lon
double latitude[ni,nj]
standard_name: latitude
long_name: latitude
units: degrees_north
_CoordinateAxisType: Lat
short TEMP[ni,nj,level,time]
standard_name: sea_water_potential_temperature
long_name: temperature
units: degrees_Celsius
coordinates: latitude longitude
add_offset: 22.5
scale_factor: 0.000839259009808302
_FillValue: -32768
missing_value: -32768
4 dimensions:
time Size:240 *** is unlimited ***
standard_name: time
long_name: time in seconds (UT)
units: seconds since 1900-01-01T00:00:00Z
calendar: standard
axis: T
ni Size:1101
standard_name: projection_x_coordinate
long_name: x-dimension of the grid
axis: X
nj Size:463
standard_name: projection_y_coordinate
long_name: y-dimension of the grid
axis: Y
level Size:60
long_name: sigma level
positive: up
axis: Z
c_grid_axis_shift: 0
standard_name: ocean_s_coordinate
formula_definition: z(n,k,j,i) = eta(n,j,i)*(1+s(k)) + depth_c*s(k) + (depth(j,i)-depth_c)*C(k)
60 global attributes:
_NCProperties: version=1|netcdflibversion=4.4.1.1|hdf5libversion=1.8.19
CDI: Climate Data Interface version 1.9.6 (http://mpimet.mpg.de/cdi)
history: Fri May 29 10:51:39 2020: cdo -select,name=TEMP MENOR_source.nc MENOR_avril_temp.nc
Mon Nov 6 14:09:55 2017: /appli/nco/nco-4.6.4__gcc-6.3.0/bin/ncrcat /home1/datawork/scoudray/DATARESU/MENOR/201704BE/MARC_F2-MARS3D-MENOR1200_20170401T0000Z.nc /home1/datawork/scoudray/DATARESU/MENOR/201704BE/MARC_F2-MARS3D-MENOR1200_20170401T0300Z.nc /home1/datawork/scoudray/DATARESU/MENOR/201704BE/MARC_F2-MARS3D-MENOR1200_20170401T0600Z.nc /home1/datawork/scoudray/DATARESU/MENOR/201704BE/MARC_F2-MARS3D-MENOR1200_20170401T0900Z.nc /home1/datawork/scoudray/DATARESU/MENOR/201704BE/MARC_F2-MARS3D-MENOR1200_20170401T1200Z.nc /home1/datawork/scoudray/DATARESU/MENOR/201704BE/MARC_F2-MARS3D-MENOR1200_20170401T1500Z.nc /home1/datawork/scoudray/DATARESU/MENOR/201704BE/MARC_F2-MARS3D-MENOR1200_20170401T1800Z.nc /home1/datawork/scoudray/DATARESU/MENOR/201704BE/MARC_F2-MARS3D-MENOR1200_20170401T2100Z.nc /home1/datawork/scoudray/DATARESU/MENOR/201704BE/MARC_F2-MARS3D-MENOR1200_20170402T0000Z.nc /home1/datawork/scoudray/DATARESU/MENOR/201704BE/MARC_F2-MARS3D-MENOR1200_20170402T0300Z.nc 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2017-04-04T21:09:49Z: creation
source: MARS3D V10.10
institution: IFREMER
Conventions: CF-1.6 OCO-1.3.1 COMODO-1.0
limi: 0
lima: 1100
pasi: 1
ljmi: 0
ljma: 462
pasj: 1
lkmi: 1
lkma: 60
pask: 1
global_imin: 0
global_imax: 1100
global_jmin: 0
global_jmax: 462
data_type: OCO oriented grid
format_version: 1.3.1
netcdf_version: 4.1.2
product_version: 1.0
references: http://www.previmer.org/
easting: longitude
northing: latitude
grid_projection: n/a
distribution_statement: Data restrictions: for registered users only
institution_references: http://www.ifremer.fr/
data_centre: IFREMER OCO DATA CENTER
data_centre_references: http://www.previmer.org/
title: PREVIMER MENOR 1200 forecast
creation_date: 2017-04-04T21:09:49Z
run_time: 2017-04-04T21:09:49Z
model_name: MARS
arakawa_grid_type: C1
area: North Western Mediterranean Sea
southernmost_latitude: 39.5000
northernmost_latitude: 44.5000
latitude_resolution: 1.082250000000000E-002
westernmost_longitude: 0.0000
easternmost_longitude: 15.9999
longitude_resolution: 1.454540000000000E-002
minimum_depth: 5.000000
maximum_depth: 3500.000
depth_resolution: n/a
forecast_range: 4-days forecast
forecast_type: forecast
operational_status: experimental
NCO: "4.6.4"
start_date: 2017-04-01T00:00:00Z
stop_date: 2017-04-01T00:00:00Z
software_version: PREVIMER forecasting system v2
product_name: PREVIMER_F2-MARS3D-MENOR1200_20170401T0000Z.nc
field_type: 3-hourly
comment: Use of Meteo-France ARPEGEHR meteorological data
contact: cdoco-exploit@ifremer.fr
quality_index: 0
nco_openmp_thread_number: 1
CDO: Climate Data Operators version 1.9.6 (http://mpimet.mpg.de/cdo)
et ci-dessous le code que j'ai utilisé et qui me donne la fameuse erreur
Code : Tout sélectionner
#packages
library(ncdf4)
library(ggplot2)
library(dplyr)
# open netcdf file
had <- nc_open("nom_du_fichier.nc")
print(fichier) # ce que j'ai montré ci-dessus
# get the data
lon <- ncvar_get(had, "longitude")
lat <- ncvar_get(had, "latitude")
time <- ncvar_get(had, "time")
temperature <- ncvar_get(had, "TEMP")
nc_close(had) # done with the file
# ref origin for this one is diff than
time <- as.Date(time, origin="2017-04-01") #je ne suis pas sûre avec cette date
# pick a lat/lon pair
(lon[10])
## [1] -132.5
(lat[10])
## [1] -42.5
data_frame(month=time,
temp=temperature[4,],
col=ifelse(temp<0, "#b2182b", "#2166ac")) %>%
ggplot(aes(month, temp)) +
geom_point(aes(color=col), size=0.15) +
scale_color_identity() +
theme_bw()