served from 129.236.110.25
root mean sq anom ∫dT [ NASA LISOTD Clim Climatology ] : Tasa Climatológica de Flashes (1995-2014) data
Climatology int_dT int_dT 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 (days since 1960-01-01) ordered [ (0000 1 Jan 1960) (0000 1 Feb 1960) (0000 1 Mar 1960) (0000 1 Apr 1960) (0000 1 May 1960) (0000 1 Jun 1960) (0000 1 Jul 1960) (0000 1 Aug 1960) (0000 1 Sep 1960) (0000 1 Oct 1960) (0000 1 Nov 1960) (0000 1 Dec 1960) (0000 1 Jan 1961)] :grid
- Latitude
- grid: /Y (degree_north) ordered (37.9S) to (37.9N) by 0.1 N= 759 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -999.98999
- missing_value
- NaN
- units
- flashes /km2 /day months
- history
- Averaged over X[179.95W, 179.95E] minimum 0.0% data present
References
Cecil, S, D. Buechler and R. Blakeslee, 2014: Gridded lightning climatology from TRMM-LIS and OTD: dataset description. Atm. Res., 135-136, 404-414Albrecht, 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
Views
data as colors
data as contours
line plots
color bars| T | Y | |
 NASA LISOTD Clim[Climatology
] | ||
 root mean sq anom $integral dT$ [ NASA LISOTD Clim 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
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