dataset: Models SubC RSMAS CCSM4 forecast

served from IRI/LDEO Climate Data Library

Models SubC RSMAS CCSM4 forecast

RSMAS CCSM4 forecast from Models SubC: Subseasonal Consortium (SubC).

Documents

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

Datasets and variables

Surface Latent Heat Flux	Models SubC RSMAS CCSM4 forecast hfls[ X Y \| L M S]
Surface Sensible Heat Flux	Models SubC RSMAS CCSM4 forecast hfss[ X Y \| L M S]
Specific Humidity	Models SubC RSMAS CCSM4 forecast huss 850 hPa[ X Y \| L M S P]
Vertically Integrated Soil Moisture	Models SubC RSMAS CCSM4 forecast mrso[ X Y \| L M S]
Total Precipitation	Models SubC RSMAS CCSM4 forecast pr[ X Y \| L M S]
Mean Sea Level Pressure	Models SubC RSMAS CCSM4 forecast psl[ X Y \| L M S]
Net Surface Radiation	Models SubC RSMAS CCSM4 forecast rad[ X Y \| L M S]
Outgoing Longwave Radiation at Top of Atmosphere	Models SubC RSMAS CCSM4 forecast rlut[ X Y \| L M S]
ROMI	Real Time OLR MJO Index.
Surface Snow Cover Fraction	Models SubC RSMAS CCSM4 forecast snc[ X Y \| L M S]
Eastward Surface Stress	Models SubC RSMAS CCSM4 forecast stx[ X Y \| L M S]
Northward Surface Stress	Models SubC RSMAS CCSM4 forecast sty[ X Y \| L M S]
Water Equivalent of Accumulated Snow Depth	Models SubC RSMAS CCSM4 forecast swe[ X Y \| L M S]
2-meter Air Temperature	Models SubC RSMAS CCSM4 forecast tas[ X Y \| L M S]
2-meter Maximum Air Temperature	Models SubC RSMAS CCSM4 forecast tasmax[ X Y \| L M S]
2-meter Minimum Air Temperature	Models SubC RSMAS CCSM4 forecast tasmin[ X Y \| L M S]
Surface Temperature	Models SubC RSMAS CCSM4 forecast ts[ X Y \| L M S]
Zonal Velocity	Models SubC RSMAS CCSM4 forecast ua[ X Y \| L M S P]
10-meter U-Component of Wind	Models SubC RSMAS CCSM4 forecast uas[ X Y \| L M S]
Meridional Velocity	Models SubC RSMAS CCSM4 forecast va[ X Y \| L M S P]
10-meter V-Component of Wind	Models SubC RSMAS CCSM4 forecast vas[ X Y \| L M S]
Pressure Vertical Velocity	Models SubC RSMAS CCSM4 forecast wap 500 hPa[ X Y \| L M S P]
Geopotential Height	Models SubC 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 28 Apr 2024) by 7.0 N= 358 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: Wed, 10 Jan 2024 20:28:47 GMT

Data Views

Models SubC RSMAS CCSM4 forecast[ ]