data: $partialdiff sub T$ [ max ( NASA LISOTD 0p1 Monthly ) climatology ]

∂_T [ max ( NASA LISOTD 0p1 Monthly ) climatology ]: ∂_T Monthly Flash Density Rate data

Monthly Monthly max max ∂_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 01-Jan) periodic (Dec) to (Nov) by 1.0 N= 12 pts :grid
Latitud: grid: /Y (degree_north) ordered (37.95S) to (37.95N) by 0.1 N= 760 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

$partialdiff sub T$ [ max ( NASA LISOTD 0p1 Monthly ) climatology ]

max over X[179.95W, 179.95E]
Averaged over T2[16 Dec 1997 - 15 Dec 1998, 16 Dec 2012 - 15 Dec 2013] 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	Y
NASA LISOTD 0p1[Monthly ]
$partialdiff sub T$ [ max ( NASA LISOTD 0p1 Monthly ) climatology ][ Y T \|]	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 Y T
Differentiate along Y T
Take differences along Y T

Average over Y T | Y T |
RMS (root mean square with mean *not* removed) over Y T | Y T |
RMSA (root mean square with mean removed) over Y T | Y T |
Maximum over Y T | Y T |
Minimum over Y T | Y T |
Detrend (best-fit-line) over Y T | Y T |

Note on units