served from IRI/LDEO Climate Data Library
NOAA NCEP EMC CMB GODAS monthly surface SLTFL anomalies: Salt flux data
monthly surface SLTFL Salt flux from NOAA NCEP EMC CMB GODAS: Global Ocean Data Assimilation System.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jan 1980) to (Mar 2024) by 1.0 N= 531 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) periodic (0.5E) to (0.5W) by 1.0 N= 360 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (74.5S) to (64.499N) by 0.3333309 N= 418 pts :grid
Other Info
- bufferwordsize
- 4
- calendar
- standard
- CE
- null
- center
- US Weather Service - National Met. Center
- cNZ
- 0
- CS
- null
- datatype
- realarraytype
- file_missing_value
- 9.99900026E20
- grib_name
- SLTFL
- gribcenter
- 7
- gribfield
- 1
- gribleveltype
- 1
- gribNumBits
- 11
- gribparam
- 199
- missing_value
- NaN
- PDS_TimeRange
- 7
- pointwidth
- 1.0
- process
- 129
- PTVersion
- 129
- subcenter
- Environmental Modeling Center
- units
- g /cm2 /s
- standard units*
- 10 kilogram meter-2 second-1
- history
- Averaged over T2[1980, 2023] minimum 0.0% data present
References
Behringer, D. W., and Y. Xue, 2004: Evaluation of the global ocean data assimilation system at NCEP: The Pacific Ocean. Eighth Symposium on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, AMS 84th Annual Meeting, Washington State Convention and Trade Center, Seattle, Washington, 11-15.
Last updated: Mon, 15 Apr 2024 12:21:35 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NOAA NCEP EMC CMB GODAS monthly surface SLTFL anomalies[ X Y | T] | M | M | M |
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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