served from IRI/LDEO Climate Data Library
NASA AVHRR-LST stime: local solar time data
AVHRR-LST local solar time from NASA: National Aeronautics and Space Administration.Independent Variables (Grids)
- Time (time)
- grid: /T (days since 1995-01-01 00:00:00) ordered (0000-1200 1 Jan 1995) to (1200-2400 31 Dec 2000) by 0.5 N= 4384 pts :grid
- x (projection_x_coordinate)
- grid: /x (m) ordered (-4604000.0 m) to (4604000.0 m) by 8000.0 N= 1152 pts :grid
- y (projection_y_coordinate)
- grid: /y (m) ordered (4604000.0 m) to (-4604000.0 m) by 8000.0 N= 1152 pts :grid
Other Info
- bufferwordsize
- 2
- datatype
- shortarraytype
- grid_mapping
- Projection
- missing_value
- [ -888 -999 ]
- pointwidth
- 0.5
- scale_factor
- 0.001
- scale_max
- 30000
- scale_min
- 0
- SpatialReferenceSystemDims
- x
y - SpatialReferenceSystemWKT
- PROJCS["Albers_Equal_Area_Conic",GEOGCS["GCS_North_American_1927",DATUM["D_North_American_1927",SPHEROID["Clarke_1866",6378206.4,294.9786982]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]],PROJECTION["Albers"],PARAMETER["False_Easting",0],PARAMETER["False_Northing",0],PARAMETER["Central_Meridian",20],PARAMETER["Standard_Parallel_1",21],PARAMETER["Standard_Parallel_2",-19],PARAMETER["Latitude_Of_Origin",1],UNIT["Meter",1]]
- units
- unitless
- history
- Night Time Images Revised 1 Jun 2006 from 24 Mar 2006 image files
References
Pinheiro, A. C. T., R. Mahoney, J. L. Privette, and C. J. Tucker. 2006. Development of a daily long-term record of NOAA-14 AVHRR land surface temperature over Africa. Remote Sensing of Environment 103:153-164.
Last updated: Mon, 16 Feb 2015 21:51:22 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | x | y | |
 NASA AVHRR-LST stime[ 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
RMS (root mean square with mean *not* removed) over x y T | x y x T y T | x y T |
RMSA (root mean square with mean removed) over x y T | x y x T y T | x y T |
Maximum over x y T | x y x T y T | x y T |
Minimum over x y T | x y x T y T | x y T |
Detrend (best-fit-line) over x y T | x y x T y T | x y T |
Note on units