data: Princeton VIC mrwso

served from IRI/LDEO Climate Data Library

Princeton VIC mrwso: Mean monthly soil wetness in model layer 1 data

Mean monthly soil wetness in model layer 1 from Princeton VIC: VIC Hydrologic Cycle Model.

Independent Variables (Grids)

latitude: grid: /latitude (degree_north) ordered (89.5S) to (89.5N) by 1.0 N= 180 pts :grid
longitude: grid: /longitude (degree_east) periodic (0.5E) to (0.5W) by 1.0 N= 360 pts :grid
time: grid: /time (months since 1948-01-01 00:00:00) ordered (Jan 1948) to (Dec 2000) by 1.0 N= 636 pts :grid
z: grid: /z (level) ordered [ (0.0)] :grid

Other Info

datatype: realarraytype
date: 01/01/48
missing_value: 2.00000004E20
source: Derived from daily output from the VIC model. Wetness is depth of water divided by max possible depth of water
title: mean monthly soil wetness layer 1
units: percent
valid_max: 100.02883
valid_min: 10.851552
standard units*: 0.01

References

Sheffield_Wood2007

Sheffield_etal2006

Last updated: Wed, 13 Feb 2019 20:27:28 GMT

Data Views

	latitude	longitude	time	z
Princeton VIC mrwso 0.0 level[ longitude latitude z \| time]	M	M	M	M

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.

Monthly Climatology calculates a monthly climatology by averaging over all years.
anomalies calculates the difference between the (above) monthly climatology and the original data.
Integrate along longitude latitude time
Differentiate along longitude latitude time
Take differences along longitude latitude time