Personal tasks management (Núria)
This is a general issue to keep track of the tasks I should do, review or, at least, keep in mind:
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Next release CSTools v1.1.0 for October 2019 -
Author's order discuss with LP -
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Considering increase R version and its impact -
Review branch develop-fixdata for the .RData files following the s2dv_cube standards -
Review CST_Load for the case of loading obs or exp separately and preserving class s2dv_cube
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Issue RainFarm vignette -
Create a Study Case Script: Load - Remove drift - Downscaling - Bias Correction/Calibration - Save -
Create a function 'as.s2dv.cube' -
Consider to include function CST_SaveNC
which could be worth it for evaluation outputs -
Create CST_SaveExp
for saving downscaled, bias-corrected or calibrated data (model format data) -
Issue Bert tests due big data example -
Issue MultiEOFS: check efficiency -
Issue Loading Multi-datasets with different ensembles -
Branch develop-ens-biascorrection (will be it included on CST_BiasCorrection as method option? Yes) -
Reviewer required (Discuss with LP) -
Vero is reviewing it
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Branch develop-SMOP -
Branch develop-Analogs -
correct sample data for temperature to be used in Analogs.
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Branch develop-adamont -
Branch dyn-bias_correction -
Ask Bert what patch-1 branch contains -
Remove branch if possible
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Review Eida's email Subject: functions for R package CSTools Date: 06/12/2019 -
Send tests examples
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CSTools poster at the International Meeting for Climate Statistics (Toulouse) -
EMS 2019 Annual Meeting (Copenhage) Management @lcaron will bring the poster to Copenhagen -
Discuss with @lcaron about -
Toolbox tab content in the Medscope project: Deadline 27/08/2019 -
CSTools-Issues Readme.md to include link to the poster https://earth.bsc.es/wiki/lib/exe/fetch.php?media=library:external:20190409_caron_cstools.pdf And a list of references for the poster presentation: IMSC, Toulouse, France, 24-28 June 2019, CSTools R package: handy post-processing tool for state-of-the-arts methods of seasonal forecasts. N. Pérez-Zanón et al. (MEDSCOPE) EGU, Vienna, Austria, 8-12 April 2019, CSTools: a new R package for the calibration, combination, downscaling and analysis of seasonal forecasts. L-P Caron et al. (MEDSCOPE)
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