Magdeburg48: Temperature Observation and Ensemble Forecasts
In JuGross/ensAR: Autoregressive postprocessing methods for ensemble forecasts
Description
Usage
Format
References
Description
The data set contains 48-h ahead forecasts initialized at 12 UTC
for 2-m surface
temperature along with the verifying observations at station
'Magdeburg'.
Usage
1
Format
A data frame with 4460 rows and 58 variables:
date. Date in format 'yyyymmdd'
lat. Latitude
lon. Longitude
stationID. Station identification number
stationName. Station name
obs. Observed temperature in degree Celsius
forc.1, forc.2, ..., forc.50. Forecasts of 50 exchangeable ensemble members
forc.HRES. High-resolution forecast
forc.CTRL. Control forecast
References
Hemri S, Scheuerer M, Pappenberger F, Bogner K, Haiden T. 2014. Trends in the
predictive performance of raw ensemble weather forecasts. Geophysical
Research Letters 41, 9197–9205, doi: 10.1002/2014GL062472
JuGross/ensAR documentation built on May 10, 2019, 8:23 a.m.
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Description Usage Format References
Description
The data set contains 48-h ahead forecasts initialized at 12 UTC for 2-m surface temperature along with the verifying observations at station 'Magdeburg'.
Usage
1 |
Format
A data frame with 4460 rows and 58 variables:
date. Date in format 'yyyymmdd'
lat. Latitude
lon. Longitude
stationID. Station identification number
stationName. Station name
obs. Observed temperature in degree Celsius
forc.1, forc.2, ..., forc.50. Forecasts of 50 exchangeable ensemble members
forc.HRES. High-resolution forecast
forc.CTRL. Control forecast
References
Hemri S, Scheuerer M, Pappenberger F, Bogner K, Haiden T. 2014. Trends in the predictive performance of raw ensemble weather forecasts. Geophysical Research Letters 41, 9197–9205, doi: 10.1002/2014GL062472
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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