served from IRI/LDEO Climate Data Library
∫dlat ∂lat [ NOAA NCDC OISST version2 AVHRR sst ] : ∂lat Daily sea surface temperature data
OISST version2 AVHRR sst partial_lat ∂lat Daily sea surface temperature 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 (20 Sep 1981) to (13 Apr 2020) by 1.0 N= 14086 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- bufferwordsize
- 8
- datatype
- doublearraytype
- iridl:hasSemantics
- iridl:SeaSurfaceTemperature
- missing_value
- NaN
- pointwidth
- 1.0
- units
- degree_Celsius
- 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 Unpublished manuscript available from NCEP/NWS/NOAA, 5200 Auth Road, Camp Springs, MD, 20746, USA.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 | |
 $integral dlat$ $partialdiff sub lat$ [ NOAA NCDC OISST version2 AVHRR sst ] 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