served from IRI/LDEO Climate Data Library
NOAA NCDC Paleo Treering Reconstructions Wahl2012 Recon temp: Temperature Anomaly data
Recon Temperature Anomaly from NOAA NCDC Paleo Treering Reconstructions Wahl2012: Western North America 500 Year Annual Temperature Reconstruction.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (1500) to (1980) by 12.0 N= 481 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (127.5W) to (97.5W) by 5.0 N= 7 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (32.5N) to (52.5N) by 5.0 N= 5 pts :grid
Other Info
- CE
- 6.0
- colorscalename
- temp_anomaly_colors_gcm
- CS
- -6.0
- datatype
- doublearraytype
- maxncolor
- 254
- missing_value
- -999.0
- scale_max
- 6.0
- scale_min
- -6.0
- standard_name
- air_temperature_anomaly
- units
- Celsius_scale
- standard units*
- degree_Kelvin above 273.15
- colorscale
References
Wahl_Smerdon2012Last updated: Fri, 18 Sep 2015 18:39:07 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 NOAA NCDC Paleo Treering Reconstructions Wahl2012 Recon temp[ T Y | X] | 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 T Y X
- Differentiate along T Y X
- Take differences along T Y X
RMS (root mean square with mean *not* removed) over T Y X | T Y T X Y X | T Y X |
RMSA (root mean square with mean removed) over T Y X | T Y T X Y X | T Y X |
Maximum over T Y X | T Y T X Y X | T Y X |
Minimum over T Y X | T Y T X Y X | T Y X |
Detrend (best-fit-line) over T Y X | T Y T X Y X | T Y X |
Note on units