Closed agronomofiorentini closed 3 years ago
Hi, I'm unable to duplicate your issue.
[ins] r$> get_power(community = "AG",
lonlat = c(8.465008, 40.62127),
pars = c("T10M_MAX", "T10M_MIN"),
dates = c("2000-01-01", "2019-12-31"),
temporal_average = "CLIMATOLOGY")
NASA/POWER CERES/MERRA2 Native Resolution Climatology Climatologies
30-year Meteorological and Solar Monthly & Annual Climatologies (January 1990 - December 2019)
Location: Latitude 40.62 Longitude 8.465
Elevation from MERRA-2: Average for 0.5 x 0.625 degree lat/lon region = 347.73 meters
Value for missing model data cannot be computed or out of model availability range: NA
Parameter(s):
Parameters:
T10M_MAX MERRA-2 Temperature at 10 Meters Maximum (C) ;
T10M_MIN MERRA-2 Temperature at 10 Meters Minimum (C)
# A tibble: 2 × 16
LON LAT PARAMETER JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC
<dbl> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 8.47 40.6 T10M_MAX 19.5 21.9 26.9 30.2 35.1 37.6 39.6 40.1 36.3 31.7 24.8 20.2
2 8.47 40.6 T10M_MIN -2.25 -2 -1.22 2.23 5.33 9.99 12.2 14.0 10.5 6.2 0.37 -2.19
# … with 1 more variable: ANN <dbl>
Warning message:
`temporal_average has been deprecated for `temporal_api`.
Your query has been modified to use the new terminology for `get_power`. Please update your scripts to use the new argument.
I suspect this was a server hiccup. Let me know if it continues.
OS and R versions
It persists also today.
I think also that is a server hiccup.
I will try the next days and i will let you know.
Thanks for now.
Sorry, I'm unsure what the issue may be. I just checked again from a different location this time and it went through just fine again.
I have tried the follow locations
The problem persists.
So I have installed again the nasapower package and now it works fine for the temperature parameters, while for the PRECTOT parameters didn't call any values.
infact the console gives me
temporal_average has been deprecated for
temporal_api. Your query has been modified to use the new terminology for
get_power`. Please update your scripts to use the new argument.Errore: PRECTOT is/are not valid in 'pars'.
Check that the 'pars', 'community' and 'temporal_api' align.
So i changed the PRECTOT with the PRECTOTCORR but the value that i am getting from the original position is quite strange: -999.
Sorry to keep bothering you
Yes, the precipitation values are corrupted. The POWER webpage did have a notice that this had occurred but that's since disappeared from their page today, however, I note that the values are still not valid for precipitation.
It's strange.
I have tried also a new location (13.45042, 43.59642) always in italy and the results is always the same. -999.
What do you think it is better to wait a week and try again or contact the nasapower to report this problem referencing this issue?
From what I understand, the precipitation values are currently corrupted. You will have to wait until they have fixed them or find another resource, e.g. chirps for precipitation data.
Thanks a lot.
Marco
Hi Adam,
I know that issue had finished but I wish you can tell me another way to get the precipitation values. I tried to use the chirps but I need something close to the nasa power, because the chirps info is not daily refreshed.
best regards,
Fernando
Hi Fernando, At the bottom of the README for this repository, I have this bullet point, maybe the link helps?
The U.S. Earth System Research Laboratory, Physical Science Division of the National Atmospheric & Oceanic Administration (NOAA) maintains a list of gridded climate data sets that provide different data and different resolutions [psl.noaa.gov/data/gridded]https://psl.noaa.gov/data/gridded/).
Describe the bug Hi, Thanks to develop this amazing R package. I am trying to retrive the data as always but now the console gives me as output
"Error: Unprocessable Entity (HTTP 422)"
Do you know what is happening? Maybe is a issue of the server side?
Code to Reproduce
` daily_single_ag_1 <- get_power(community = "AG", lonlat = c(8.465008, 40.62127), pars = c("T10M_MAX", "T10M_MIN"), dates = c("2000-01-01", "2019-12-31"), temporal_average = "CLIMATOLOGY")
`
OS and R versions (please complete the following information):