data: $partialdiff sub T$ [ NASA LISOTD 0p1 Monthly ] anomalies

∂_T [ NASA LISOTD 0p1 Monthly ] anomalies: ∂_T Monthly Flash Density Rate data

Monthly Monthly partial_T ∂_T Monthly Flash Density Rate from NASA LISOTD 0p1: Satellite monthly flash density rate from TRMM-LIS at 0.1 deg.

Independent Variables (Grids)

Time: grid: /T (months since 1998-01-01 00:00:00) ordered (Jan 1998) to (Nov 2013) by 1.0 N= 191 pts :grid
Longitud: grid: /X (degree_east) periodic (179.95W) to (179.95E) by 0.1 N= 3600 pts :grid
Latitude: grid: /Y (degree_north) ordered (37.9S) to (37.9N) by 0.1 N= 759 pts :grid

Other Info

_FillValue_original: -999.98999
CE: null
CS: null
datatype: realarraytype
file_missing_value: -999.98999
missing_value: NaN
units: flashes /km² /day /months
history: Averaged over T2[1998, 2012] minimum 0.0% data present

References

Rachel I. Albrecht, Steven J. Goodman, Dennis E. Buechler, Richard J. Blakeslee, and Hugh J. Christian, 0: Where are the lightning hotspots on Earth?. Bull. Amer. Meteor. Soc., doi: 10.1175/BAMS-D-14-00193.1

Last updated: Wed, 02 Nov 2016 03:28:19 GMT

Data Views

	T	X	Y
NASA LISOTD 0p1[Monthly ]
$partialdiff sub T$ [ NASA LISOTD 0p1 Monthly ] anomalies[ X Y \| 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 X Y T
Differentiate along X Y T
Take differences along X Y T