served from IRI/LDEO Climate Data Library
∂T ∫dIWMO ∂T ∂T [ NOAA NCDC DAILY GLOBALSOD snow ] : ∂T ∂T ∂T Snow Depth data
snow partial_T partial_T partial_T int_dIWMO ∂T ∂T ∂T Snow Depth from NOAA NCDC DAILY GLOBALSOD: Global daily WMO weather station data.Independent Variables (Grids)
- WMO Station ID
- grid: /IWMO (ids) ordered [ (10010) (10014) (10015) ... (997000)] N= 14676 pts :grid
- Time
- grid: /T (julian_day) ordered (1200 2 Jan 1994 - 1200 3 Jan 1994) to (1200 29 Dec 1999 - 1200 30 Dec 1999) by 1.0 N= 2188 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- missing_value
- NaN
- units
- 3.4025634430727×10-12 meter second-2 ids /days
Last updated: Mon, 12 Sep 2016 21:13:52 GMT
Data Views
Views
data as colors
data as contours| IWMO | T | |
 $partialdiff sub T$ $integral dIWMO$ $partialdiff sub T$ $partialdiff sub T$ [ NOAA NCDC DAILY GLOBALSOD snow ] [ T | IWMO] | 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 IWMO
- Differentiate along T IWMO
- Take differences along T IWMO
RMS (root mean square with mean *not* removed) over T IWMO | T IWMO |
RMSA (root mean square with mean removed) over T IWMO | T IWMO |
Maximum over T IWMO | T IWMO |
Minimum over T IWMO | T IWMO |
Detrend (best-fit-line) over T IWMO | T IWMO |
Note on units