What an incredible and helpful tutorial thanks a lot! Only thing I am wondering is how can I plot only a sub-area like for example I provide 2 pairs of latitude and longitude that define a rectangular region and just plot that region only
Seems to me that NOAA are having some issue with their THREDDS server right now. Try here: www.ncei.noaa.gov/data/noaa-global-surface-temperature/v6/access/gridded/ And you should be able to download v6 of the data in a NetCDF file
@@LukeDataManager When I reach this part ''' desired_date = '2022-12-01' data_for_desired_date = xrds.sel(time=desired_date) print(data_for_desired_date) ''' It gives TypeError: get_loc() got an unexpected keyword argument 'method' Did I miss to import some libraries?
I am not entirely sure what you mean, and pressure is not provided in either of the datasets. When looking at the variables, you might see for example CHLOROPHYLL_A_TOTAL (DEPTH) float64 .... In this example, CHLOROPHYLL_A_TOTAL is the variable name, DEPTH is the name of the dimension, and float64 is the format of the values in the variable.
@@LukeDataManager ohh..yes I was talking about (DEPTH), and I got it now that the data within the file is organized and indexed along this dimension. Thanks!
What an incredible and helpful tutorial thanks a lot! Only thing I am wondering is how can I plot only a sub-area like for example I provide 2 pairs of latitude and longitude that define a rectangular region and just plot that region only
Thanks, something like this
ax.set_extent([-30, 60, 30, 75], crs=ccrs.PlateCarree()) # Longitude and latitude
The link for global surface temperature is giving an error. Is there a way to download as nc file rather than using URL?
Seems to me that NOAA are having some issue with their THREDDS server right now. Try here:
www.ncei.noaa.gov/data/noaa-global-surface-temperature/v6/access/gridded/
And you should be able to download v6 of the data in a NetCDF file
@@LukeDataManager When I reach this part
'''
desired_date = '2022-12-01'
data_for_desired_date = xrds.sel(time=desired_date)
print(data_for_desired_date)
'''
It gives TypeError: get_loc() got an unexpected keyword argument 'method'
Did I miss to import some libraries?
It worked in Colab. I might have missed something in local device.
hey, what is pressure and depth there, is it a dtype or what?
I am not entirely sure what you mean, and pressure is not provided in either of the datasets.
When looking at the variables, you might see for example
CHLOROPHYLL_A_TOTAL (DEPTH) float64 ....
In this example, CHLOROPHYLL_A_TOTAL is the variable name, DEPTH is the name of the dimension, and float64 is the format of the values in the variable.
@@LukeDataManager ohh..yes I was talking about (DEPTH), and I got it now that the data within the file is organized and indexed along this dimension. Thanks!
Glad you solved it!