Models SubX RSMAS CCSM4 forecast

RSMAS CCSM4 forecast from Models SubX: Subseasonal Experiment (SubX).

Documents

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

Datasets and variables

Models SubX RSMAS CCSM4 forecast hfls[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast hfss[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast huss 850 hPa[ X Y | L M S P]
Models SubX RSMAS CCSM4 forecast mrso[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast pr[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast psl[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast rad[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast rlut[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast snc[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast stx[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast sty[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast swe[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast tas[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast tasmax[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast tasmin[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast ts[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast ua[ X Y | L M S P]
Models SubX RSMAS CCSM4 forecast uas[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast va[ X Y | L M S P]
Models SubX RSMAS CCSM4 forecast vas[ X Y | L M S]
Models SubX RSMAS CCSM4 forecast wap 500 hPa[ X Y | L M S P]
Models SubX RSMAS CCSM4 forecast zg[ X Y | L M S P]

Independent Variables (Grids)

Lead (forecast_period) grid: /L (days) ordered (0.5 days) to (44.5 days) by 1.0 N= 45 pts :grid
Ensemble Member (realization) grid: /M (ids) ordered (1) to (9) by 1.0 N= 9 pts :grid
Pressure Level (air_pressure) grid: /P (hPa) ordered [ (850) (500) (200) (100)] :grid
Start Time (forecast_reference_time) grid: /S (days since 1960-01-01) ordered (0000 25 Jun 2017) to (0000 18 Nov 2018) by 7.0 N= 74 pts :grid
Longitude (longitude) grid: /X (degree_east) periodic (0) to (1W) by 1.0 N= 360 pts :grid
Latitude (latitude) grid: /Y (degree_north) ordered (90S) to (90N) by 1.0 N= 181 pts :grid

Other Info

contact
Dughong Min (dmin@rsmas.miami.edu) and Ben Kirtman (bkirtman@rsmas.miami.edu)
Conventions
CF-1.0
frequency
daily
Generator
NCL v.6.0
institution
Univ. of Miami - Rosenstiel School of Marine & Atmosphereric Science
institution_id
UM-RSMAS
model_id
CCSM4_0_a02
modeling_realm
atmos
project_id
North America Model Ensembles(NMME) project
References
Ben P. Kirtman, Dughong Min. (2009) Multimodel Ensemble ENSO Prediction with CCSM and CFS. Monthly Weather Review 137:9, 2908-2930

Last updated: Fri, 20 Jul 2018 14:41:12 GMT

Data Views

Models SubX RSMAS CCSM4 forecast[ ]