Closed mbacou closed 3 years ago
Has someone taken over maintenance of this package?
No changes. Although I have less time for this package than in the past, I am still the maintainer.
Is it still working for the 4 data sources listed in the docs:
I am sure you have try them all before opening this issue:
Actually no, I didn't try, just inspected the source quickly, but really appreciate the clarification and fixes above!
My organization maintains a package with a similar scope (incl. access to additional weather models, e.g. TAMSAT, CHIRPS, ERA5-LAND). Access to NAM historical archives has been a struggle so far, but we never tried to access UCAR THREDDS server directly. We will give it a shot. (cc. @jlehnny).
Not related, but would you happen to know if there an organization equivalent to MeteoGalicia for Extremadura with downsampled weather models?
@oscarperpinan quick check on our end, seems like the model names have also been updated from nam218
to model-nam218
(same with namanl
and model-namanl
).
library(raster)
library(meteoForecast)
mfService("nam")
v <- grepVar("", service="nam", day=as.Date("2020-11-23"), complete=FALSE)
# This URL fails:
# https://www.ncei.noaa.gov/thredds/wcs/nam218/202011/20201123/nam_218_20201123_0000_001.grb2?service=WCS&version=1.0.0&request=GetCapabilities
# But this works
# https://www.ncei.noaa.gov/thredds/wcs/model-nam218/202011/20201123/nam_218_20201123_0000_000.grb2?service=WCS&version=1.0.0&request=GetCapabilities
My organization maintains a package with a similar scope (incl. access to additional weather models, e.g. TAMSAT, CHIRPS, ERA5-LAND). Access to NAM historical archives has been a struggle so far, but we never tried to access UCAR THREDDS server directly.
@mbacou I have committed several changes in the code (see above). With these changes both RAP and NAM work again, and GFS too but using the MeteoGalicia server instead of the NCEI server. The configuration of this server makes the retrieval of data very slow in comparison with the Meteogalicia server. The drawback is that the geographical extent is limited and MG does not store historical data of GFS.
Although I have not finished the update, I would appreciate if you could give the package a try.
## install.packages("remotes")
remotes::install_github("oscarperpinan/meteoForecast")
Comments are welcome.
Not related, but would you happen to know if there an organization equivalent to MeteoGalicia for Extremadura with downsampled weather models?
No idea, I am sorry.
Has someone taken over maintenance of this package? Is it still working for the 4 data sources listed in the doco:
Thanks!