r2d2_example: Example data for the r2d2 function
In thaos/R2D2: R2D2 multivariate correction bias-correction method
Description
Usage
Format
Source
Description
temperature and precipitation example data to run the r2d2 function
Usage
1
Format
A list with the following elements:
- bc1d
A matrix with 589 rows and 10 columns. It contains data previously bias corrected with a univariate BC method.
Those 1d-BC data have inter-site and inter-variable dependences that are to be corrected by the r2d2 method.
- refdata
A matrix with 589 rows and 10 columns. It contains the reference data to correct the bc1d data.
The r2d2 function resamples rank associations from this dataset, depending on the conditioning dimension values from the bc1d dataset to be corrected.
For those two matrices, the number of rows corresponds to the number of time-steps.
The number of columns corresponds to the numbers of variables to be corrected.
The first 5 columns correspond to temperatures at the grid points representing respectively Paris, Madrid, Rome, Warsaw and Stockholm.
The following 5 columns correspond to precipitation at the same geographical sites.
The reference dataset comes from WATCH-Forcing-Data-ERA-Interim (WFDEI).
The bc1d dataset comes from simulations of the IPSL-CM5A-LR climate model
that have been (i) regridded to the same spatial resolution as the reference dataset
and then (ii) bias-corrected with the univariate BC method CDFt (Michelangeli et al, 2009).
The bc1d dataset has been prepared by The Climate Data Factory.
Source
Weedon, G.P., Balsamo, G., Bellouin, N., Gomes, S., Best, M.J. and Viterbo, P., 2014.
The WFDEI meteorological forcing data set:
WATCH Forcing Data methodology applied to ERA-Interim
reanalysis data. Water Resources Research, 50, doi:10.1002/2014WR015638
Michelangeli, P.A., Vrac, M., and Loukos, H. ( 2009),
Probabilistic downscaling approaches:
Application to wind cumulative distribution functions,
Geophys. Res. Lett., 36, L11708, doi:10.1029/2009GL038401.
thaos/R2D2 documentation built on Sept. 14, 2020, 9:01 p.m.
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Description Usage Format Source
Description
temperature and precipitation example data to run the r2d2 function
Usage
1 |
Format
A list with the following elements:
- bc1d
A matrix with 589 rows and 10 columns. It contains data previously bias corrected with a univariate BC method. Those 1d-BC data have inter-site and inter-variable dependences that are to be corrected by the r2d2 method.
- refdata
A matrix with 589 rows and 10 columns. It contains the reference data to correct the bc1d data. The r2d2 function resamples rank associations from this dataset, depending on the conditioning dimension values from the bc1d dataset to be corrected.
For those two matrices, the number of rows corresponds to the number of time-steps. The number of columns corresponds to the numbers of variables to be corrected. The first 5 columns correspond to temperatures at the grid points representing respectively Paris, Madrid, Rome, Warsaw and Stockholm. The following 5 columns correspond to precipitation at the same geographical sites.
The reference dataset comes from WATCH-Forcing-Data-ERA-Interim (WFDEI). The bc1d dataset comes from simulations of the IPSL-CM5A-LR climate model that have been (i) regridded to the same spatial resolution as the reference dataset and then (ii) bias-corrected with the univariate BC method CDFt (Michelangeli et al, 2009). The bc1d dataset has been prepared by The Climate Data Factory.
Source
Weedon, G.P., Balsamo, G., Bellouin, N., Gomes, S., Best, M.J. and Viterbo, P., 2014. The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA-Interim reanalysis data. Water Resources Research, 50, doi:10.1002/2014WR015638
Michelangeli, P.A., Vrac, M., and Loukos, H. ( 2009), Probabilistic downscaling approaches: Application to wind cumulative distribution functions, Geophys. Res. Lett., 36, L11708, doi:10.1029/2009GL038401.
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