Climate Services' Indicators Based on Sub-Seasonal to Decadal Predictions
Transform ensemble forecast into probabilities
Accumulation of a variable when Exceeding (not exceeding) a Threshold
Transform ensemble forecast into probabilities
Accumulation of a variable when Exceeding (not exceeding) a Threshold
Merge a Reference To Experiments
Period Accumulation on 's2dv_cube' objects
Period Max on 's2dv_cube' objects
Period Mean on 's2dv_cube' objects
Period Min on 's2dv_cube' objects
Compute the Potential Evapotranspiration
Compute the Standardization of Precipitation-Evapotranspiration Index
Period Variance on 's2dv_cube' objects
Transform an absolute threshold into probabilities
R0 Index computation on s2dv_cube objects
Select a period on Data on 's2dv_cube' objects
Absolute value of a relative threshold (percentile)
Total Spell Time Exceeding Threshold
Total Time of a variable Exceeding (not exceeding) a Threshold
Wind capacity factor on s2dv_cube objects
Wind power density on s2dv_cube objects
Merge a Reference To Experiments
Period Accumulation on multidimensional array objects
Period max on multidimensional array objects
Period Mean on multidimensional array objects
Period Min on multidimensional array objects
Compute the Potential Evapotranspiration
Compute the Standardization of Precipitation-Evapotranspiration Index
Period Variance on multidimensional array objects
Transform an absolute threshold into probabilities
R0 Index computation on s2dv_cube objects
Select a period on Data on multidimensional array objects
Select a period on Dates
Absolute value of a relative threshold (percentile)
Total Spell Time Exceeding Threshold
Total Time of a variable Exceeding (not exceeding) a Threshold
Wind capacity factor
Wind power density on multidimensional array objects
Set of generalised tools for the flexible computation of climate related indicators defined by the user. Each method represents a specific mathematical approach which is combined with the possibility to select an arbitrary time period to define the indicator. This enables a wide range of possibilities to tailor the most suitable indicator for each particular climate service application (agriculture, food security, energy, water management, health...). This package is intended for sub-seasonal, seasonal and decadal climate predictions, but its methods are also applicable to other time-scales, provided the dimensional structure of the input is maintained. Additionally, the outputs of the functions in this package are compatible with 'CSTools'. This package is described in Pérez-Zanón et al. (2023) <doi:10.1016/j.cliser.2023.100393> and it was developed in the context of H2020 MED-GOLD (776467) and S2S4E (776787) projects. See Lledó et al. (2019) <doi:10.1016/j.renene.2019.04.135> and Chou et al., 2023 <doi:10.1016/j.cliser.2023.100345> for details.
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