IRI Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY soilw: Soil Moisture Content 0-10cm Below Surface data

Analyses ICPAC Models Montreal CMC2-CanCM4 FORECAST MONTHLY Soil Moisture Content 0-10cm Below Surface from IRI: International Research Institute for Climate and Society.

Independent Variables (Grids)

Lead (forecast_period)
grid: /L (months) ordered (0.5 months) to (11.5 months) by 1.0 N= 12 pts :grid
Ensemble Member (realization)
grid: /M (unitless) ordered (1.0) to (10.0) by 1.0 N= 10 pts :grid
S
grid: /S (months since 1960-01-01) ordered (0000 1 Jan 2011) to (0000 1 Jun 2019) by 1.0 N= 102 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

bufferwordsize
4
center
Montreal (RSMC)
datatype
realarraytype
grib_name
IMGD
gribcenter
54
gribfield
1
gribleveltype
119
gribNumBits
16
gribparam
127
missing_value
9.99900026E20
PDS_TimeRange
0
pointwidth
0
standard_name
soil_moisture_content
units
kg m-2
standard units*
kilogram meter-2
history
S: 0000 1 Dec 2015 to 0000 1 Jun 2019 appended from Models NMME Cansips FORECAST MONTHLY soilw

References

Kirtman, Ben P., and Coauthors, 2014: The North American Multimodel Ensemble: Phase-1 seasonal-to-interannual prediction; Phase-2 toward developing intraseasonal prediction. Bull. Amer. Meteor. Soc., 95, 585–601. doi: http://dx.doi.org/10.1175/BAMS-D-12-00050.1

Last updated: Sat, 01 Jun 2019 14:31:00 GMT

Data Views

LMSXY
[ X Y | L M S]MMMMM


Filters

Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information. Average over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
RMS (root mean square with mean *not* removed) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
RMSA (root mean square with mean removed) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Maximum over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Minimum over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
Detrend (best-fit-line) over X Y L M S | X Y X L X M X S Y L Y M Y S L M L S M S | X Y L X Y M X Y S X L M X L S X M S Y L M Y L S Y M S L M S | X Y L M X Y L S X Y M S X L M S Y L M S | X Y L M S |
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Note on units