data: $partialdiff sub T$ [ GISS GlobalFWI v1p5 DAILY M

served from IRI/LDEO Climate Data Library

∂_T [ GISS GlobalFWI v1p5 DAILY M_BUI ]: ∂_T Buildup Index data

GlobalFWI v1p5 DAILY M_BUI ∂_T Buildup Index from GISS: Goddard Institute for Space Studies.

Independent Variables (Grids)

lat (latitude): grid: /lat (degree_north) ordered (58S) to (75N) by 0.5 N= 267 pts :grid
lon (longitude): grid: /lon (degree_east) periodic (180W) to (179.3333E) by 0.6666666 N= 540 pts :grid
Time (time): grid: /T (days since 1980-01-01 00:00:00) ordered (1200 1 Feb 1979 - 1200 2 Feb 1979) to (1200 30 Dec 2015 - 1200 31 Dec 2015) by 1.0 N= 13482 pts :grid

Other Info

datatype: realarraytype
missing_value: NaN
pointwidth: 0.0
units: 1.15740740740741×10^-05 second^-1

References

Field, R. D., Spessa, A. C., Aziz, N. A., Camia, A., Cantin, A., Carr, R., de Groot, W. J., Dowdy, A. J., Flannigan, M. D., Manomaiphiboon, K., Pappenberger, F., Tanpipat, V., and Wang, X.: Development of a global fire weather database for 1980–2012, Nat. Hazards Earth Syst. Sci. Discuss., 2, 6555-6597, doi:10.5194/nhessd-2-6555-2014, 2014.

Last updated: Tue, 09 Feb 2016 16:13:54 GMT

Data Views

	lat	lon	T
$partialdiff sub T$ [ GISS GlobalFWI v1p5 DAILY M_BUI ][ lon lat \| T]	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 lon lat T
Differentiate along lon lat T
Take differences along lon lat T