data: root mean sq detrended-bfl root mean sq [ NOAA NCDC OISST version2 AVHRR sst ]

served from IRI/LDEO Climate Data Library

root mean sq detrended-bfl root mean sq [ NOAA NCDC OISST version2 AVHRR sst ] : Daily sea surface temperature data

OISST version2 AVHRR sst sst adif Daily sea surface temperature from NOAA NCDC: National Climatic Data Center.

Independent Variables (Grids)

Time (time): grid: /T (days since 1970-01-01) 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

CE

null

CS

null

datatype

doublearraytype

iridl:hasSemantics

iridl:SeaSurfaceTemperature

missing_value

NaN

pointwidth

1.0

units

degree_Celsius

standard units*

degree_Kelvin

history

root mean sq detrended-bfl root mean sq [ NOAA NCDC OISST version2 AVHRR sst ]

Averaged over lon[0, 0] minimum 0.0% data present
Averaged over lat[90S, 90N] minimum 0.0% data present

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 Unpublished manuscript available from NCEP/NWS/NOAA, 5200 Auth Road, Camp Springs, MD, 20746, USA.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

	T	zlev
root mean sq detrended-bfl root mean sq [ NOAA NCDC OISST version2 AVHRR sst ] 0.0 meters[ zlev \| 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 T
Differentiate along T
Take differences along T