served from IRI/LDEO Climate Data Library
NOAA NCDC OISST version2p1 AVHRR anom: Daily sea surface temperature anomalies data
OISST version2p1 AVHRR Daily sea surface temperature anomalies from NOAA NCDC: National Climatic Data Center.Independent Variables (Grids)
- Latitude (projection_y_coordinate)
- grid: /lat (degree_north) ordered (89.875S) to (89.875N) by 0.25 N= 720 pts :grid
- Longitude (projection_x_coordinate)
- grid: /lon (degree_east) periodic (0.125E) to (0.125W) by 0.25 N= 1440 pts :grid
- Time (time)
- grid: /T (julian_day) ordered (1 Sep 1981) to (13 May 2024) by 1.0 N= 15596 pts :grid
- zlev
- grid: /zlev (meters) ordered [ (0.0)] :grid
Other Info
- datatype
- shortarraytype
- missing_value
- -999
- pointwidth
- 1.0
- scale_factor
- 0.01
- units
- Celsius_scale
- valid_max
- 1200
- valid_min
- -1200
- standard units*
- degree_Kelvin above 273.15
- history
- Final file created using preliminary as first guess, and 3 days of AVHRR data. Preliminary uses only 1 day of AVHRR data.
References
Reynolds, et al.(2007) Daily High-Resolution-Blended Analyses for Sea Surface Temperature (available at https://doi.org/10.1175/2007JCLI1824.1). Banzon, et al.(2016) A long-term record of blended satellite and in situ sea-surface temperature for climate monitoring, modeling and environmental studies (available at https://doi.org/10.5194/essd-8-165-2016). Huang et al. (2020) Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) Version v02r01, submitted.Climatology is based on 1971-2000 OI.v2 SST. Satellite data: Pathfinder AVHRR SST and Navy AVHRR SST. Ice data: NCEP Ice and GSFC Ice.Last updated: Tue, 28 May 2024 15:18:16 GMT
Expires: Sun, 26 May 2024 00:00:00 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 version2p1 AVHRR 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