data: $integral dT$ [ NASA LISOTD Clim Climatology ]

∫dT [ NASA LISOTD Clim Climatology ]: Tasa Climatológica de Flashes (1995-2014) data

Climatology int_dT Tasa Climatológica de Flashes (1995-2014) from NASA LISOTD Clim: Satellite flash density rate climatological data from OTD and TRMM-LIS at 0.1 deg.

Independent Variables (Grids)

Time: grid: /T (months since 01-Jan) ordered (Jan 1960) to (Dec 1960) by 1.0 N= 12 pts :grid
Longitud: grid: /X (degree_east) periodic (179.95W) to (179.95E) by 0.1 N= 3600 pts :grid
Latitud: grid: /Y (degree_north) ordered (37.95S) to (37.95N) by 0.1 N= 760 pts :grid

Other Info

CE: null
CS: null
datatype: realarraytype
file_missing_value: -999.98999
missing_value: NaN
units: flashes /km² /day months

References

Cecil, S, D. Buechler and R. Blakeslee, 2014: Gridded lightning climatology from TRMM-LIS and OTD: dataset description. Atm. Res., 135-136, 404-414

Albrecht, Rachel I, Steve Goodman, Dennis Buechler, Richard Blakeslee and Hugh Christian. 2016. LIS 0.1 Degree Very High Resolution Gridded Lightning Monthly Climatology (VHRMC). Dataset available online from the NASA Global Hydrology Resource Center DAAC, Huntsville, Alabama, U.S.A. DOI: http://dx.doi.org/10.5067/LIS/LIS/DATA302

Last updated: Mon, 31 Oct 2016 03:04:54 GMT

Data Views

	T	X	Y
NASA LISOTD Clim[Climatology ]
$integral dT$ [ NASA LISOTD Clim Climatology ][ 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