tmin.det: Observations and deterministic predictions of daily (minimum)...
In SantanderMetGroup/VALUE: Climate data validation in the framework of the COST action VALUE
tmin.det R Documentation
Observations and deterministic predictions of daily (minimum) temperature
Description
A dataset containing daily observations and deterministic predictions of minimum temperature, for the period 1979-2000
Usage
tmin.det
Format
A data frame with 8036 rows (days) and 3 variables:
- dates
Record date, in POSIXct
- obs
Observed records
- pred
Predicted records. See details
Details
Data correspond to the NAVACERRADA station (~1800 m.a.s.l.), part of the ECA-VALUE-86 dataset. The deterministic predictions have
been generated with the ANALOG method (see Gutiérrez et al 2018 -Appendix A- and references therein for further details)
Source
The VALUE Validation Portal: http://www.value-cost.eu/validationportal
References
Gutiérrez, J.M., Maraun, D., Widmann et al., 2018. An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment. International Journal of Climatology. https://doi.org/10.1002/joc.5462
SantanderMetGroup/VALUE documentation built on July 8, 2023, 7:03 a.m.
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| tmin.det | R Documentation |
Observations and deterministic predictions of daily (minimum) temperature
Description
A dataset containing daily observations and deterministic predictions of minimum temperature, for the period 1979-2000
Usage
tmin.det
Format
A data frame with 8036 rows (days) and 3 variables:
- dates
Record date, in POSIXct
- obs
Observed records
- pred
Predicted records. See details
Details
Data correspond to the NAVACERRADA station (~1800 m.a.s.l.), part of the ECA-VALUE-86 dataset. The deterministic predictions have been generated with the ANALOG method (see Gutiérrez et al 2018 -Appendix A- and references therein for further details)
Source
The VALUE Validation Portal: http://www.value-cost.eu/validationportal
References
Gutiérrez, J.M., Maraun, D., Widmann et al., 2018. An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment. International Journal of Climatology. https://doi.org/10.1002/joc.5462
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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