served from IRI/LDEO Climate Data Library
NOAA NCDC OISST version2 AVHRR-AMSR anom: Daily sea surface temperature anomalies data
OISST version2 AVHRR-AMSR Daily sea surface temperature anomalies from NOAA NCDC: National Climatic Data Center.Independent Variables (Grids)
- lat (projection_y_coordinate)
- grid: /lat (degree_north) ordered (89.875S) to (89.875N) by 0.25 N= 720 pts :grid
- lon (projection_x_coordinate)
- grid: /lon (degree_east) periodic (0.125E) to (0.125W) by 0.25 N= 1440 pts :grid
- Time (time)
- grid: /T (days since 1978-01-01 12:00:00) ordered (1 Jun 2002) to (4 Oct 2011) by 1.0 N= 3413 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- datatype
- shortarraytype
- iridl:hasSemantics
- iridl:SeaSurfaceTemperatureAnomaly
- missing_value
- -999
- pointwidth
- 1.0
- scale_factor
- 0.01
- units
- degree_Celsius
- valid_max
- 1200
- valid_min
- -1200
- standard units*
- degree_Kelvin
References
Cavalieri D., C. Parkinson, P. Gloerson, and H.J. Zwally. 1997, updated 2005. Sea ice concentrations from Nimbus-7 SMMR and DMSP SSM/I passive microwave data, June to September 2001. Boulder, CO, USA.Grumbine, R. W., 1996: Automated passive microwave sea ice concentration analysis at NCEP, 13pp. Unpublished manuscript available from NCEP/NWS/NOAA, 5200 Auth Road, Camp Springs, MD, 20746, USA.
May, D.A., M. M. Parmeter, D. S. Olszewski and B. D. McKenzie, 1998: Operational processing of satellite sea surface temperature retrievals at the Naval Oceanographic Office, Bull. Amer. Met. Soc., 79, 397-407.
Reynolds, R.W., T.M. Smith, C. Liu, D. B. Chelton, K. S. Casey AND M. G. Schlax, 2007:Daily High-Resolution-Blended analyses for sea surface temperature. J. Climate, 20, 5473-5496.
Last updated: Tue, 08 Dec 2020 21:55:17 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| lat | lon | T | zlev | |
 NOAA NCDC OISST version2 AVHRR-AMSR anom 0.0 meters[ lon lat zlev | T] | M | 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 lon lat T
- Differentiate along lon lat T
- Take differences along lon lat T
RMS (root mean square with mean *not* removed) over lon lat T | lon lat lon T lat T | lon lat T |
RMSA (root mean square with mean removed) over lon lat T | lon lat lon T lat T | lon lat T |
Maximum over lon lat T | lon lat lon T lat T | lon lat T |
Minimum over lon lat T | lon lat lon T lat T | lon lat T |
Detrend (best-fit-line) over lon lat T | lon lat lon T lat T | lon lat T |
Note on units