Data Library Models SubC RSMAS CCSM4 forecast ROMI
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Models SubC RSMAS CCSM4 forecast ROMI

Models SubC RSMAS CCSM4 forecast ROMI: Real Time OLR MJO Index.

Documents

outlinean outline showing all sub-datasets and variables contained in this dataset

Datasets and variables

Models SubC RSMAS CCSM4 forecast ROMI romi[ M PC | L S]

Independent Variables (Grids)

Lead (forecast_period) grid: /L (days) ordered (-49.5 days) to (29.5 days) by 1.0 N= 80 pts :grid
Ensemble Member (realization) grid: /M (ids) ordered (1) to (9) by 1.0 N= 9 pts :grid
PC grid: /PC (unitless) ordered (1.0) to (2.0) N= 2 pts :grid
Start Time (forecast_reference_time) grid: /S (days since 1960-01-01) ordered (0000 25 Jun 2017) to (0000 17 Jul 2022) by 7.0 N= 265 pts :grid

References

Wang, S., A. H. Sobel, M. K. Tippett, F. Vitart. 2018: Prediction and predictability of tropical intraseasonal convection: seasonal dependence and the Maritime Continent prediction barrier. Climate Dynamics, doi.org/10.1007/s00382-018-4492-9

Last updated: Thu, 24 Oct 2024 18:10:42 GMT

Data Views

Models SubC RSMAS CCSM4 forecast ROMI[ ]