SNOW WATER EQUIVALENT (Serreze, Barrett)

 

Summary

This data includes daily Snow Water Equivalent (SWE) values for July 1999 to June 2001, representing the most complete possible "picture" of SWE for the Arctic basin, derived from available SSM/I data during this period. Data were filtered with snow climatologies derived from NOAA weekly snow charts from 1996 to 2001 (the most complete record available), and are masked for pixels in the recently updated Arctic drainage basin that RIMS has released.

The data is presented in 24 sub-datasets of different spatial and temporal aggregations (see aggregation description below).

 

Data Access

ORDER data for delivery by FTP.

# Spatial Scale Temporal Scale Link
1 Grid Cell Daily* External Link to Data
2 Monthly External Link to Data
3 Yearly External Link to Data
4 Daily Climatology External Link to Data
5 Monthly Climatology External Link to Data
6 Yearly Climatology External Link to Data
7 Watershed Daily External Link to Data
8 Monthly External Link to Data
9 Yearly External Link to Data
10 Daily Climatology External Link to Data
11 Monthly Climatology External Link to Data
12 Yearly Climatology External Link to Data
13 Sea Basin Daily External Link to Data
14 Monthly External Link to Data
15 Yearly External Link to Data
16 Daily Climatology External Link to Data
17 Monthly Climatology External Link to Data
18 Yearly Climatology External Link to Data
19 Continent Daily External Link to Data
20 Monthly External Link to Data
21 Yearly External Link to Data
22 Daily Climatology External Link to Data
23 Monthly Climatology External Link to Data
24 Yearly Climatology External Link to Data

* - This Dataset was submitted to or acquired by ArcticRIMS from a third party Research Institution.

Data Aggregation

There are two distinct methods to produce data aggregation along the "time" axis of the cube. These are -

  1. Mean. Monthly or yearly values for each grid cell in the dataset has been produced as simple mean (average) over the indicated time period. An example is temperature datasets.

  2. Sum. Monthly or yearly values for each grid cell in the dataset has been produced as arithmetic total over the indicated time period. An example is precipitation datasets.

  3. Vector. Monthly or yearly values for each grid cell in the dataset has been produced as product vector (vector average) over the indicated time period. An example is wind direction datasets.

  4. Class. Monthly or yearly values for each grid cell in the dataset has been produced as prevailing (most frequent) qualitative class over the indicated time period. An example is freeze-thaw datasets.

Each aggregated data file in a dataset has a notation of a method (mean or sum) used to produce the file. The notation included in the first (top) line of the file. Please, pay attention to that.

Aggregation along the "spatial scale" axis of the cube is done using simple mean (average) over all grid cells of each basin (river, sea basin, or continent) from an appropriate grid cell file.

 

Additional Information

Related projects: ArcticRIMS
Observational frequency:   Data Cube
Spatial type: Grid Cell
File and Data Format: ASCII table of ArcticRIMS format
Categories: Meteorology, Climate
Platforms: Interpolation model of point data
Documentation: readme.txt [2 KB ]

 

Temporal Coverage

Begin datetime: 1987-08-01 00:00:00, End datetime: 2003-09-30 00:00:00

 

Spatial Coverage

Minimum latitude: 45.00000000, Minimum longitude: -180.00000000
Maximum latitude: 90.00000000, Maximum longitude: 180.00000000

 

Point of Contact

ArcticRIMS Support
Email  Address-   Richard.Lammers@unh.edu
Homepage ArcticRIMS