Close

Service Interruption

Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors

Summary

Daily ice motion vectors are computed from Advanced Very High Resolution Radiometer (AVHRR), Scanning Multichannel Microwave Radiometer (SMMR), Special Sensor Microwave/Imager (SSM/I), and International Arctic Buoy Programme (IABP) buoy data. Daily gridded fields combine data from all sensors, from November 1978 through December 2006. Grids extend from 48.4° N to 90° N, and from 53.2° S to 90° S. Mean gridded fields include yearly, monthly, and weekly means, and a mean for the entire time series. Both daily and mean gridded fields are in 2-byte integer format, reprojected to 25 km Northern and Southern Hemisphere EASE-Grids. Browse images of mean fields are available in Portable Network Graphics (PNG) and Enhanced Postscript (EPS) format. Raw ice motion vectors from each sensor are in tab-delimited ASCII text format.

The complete data set is available via FTP. Registration for data is optional, but encouraged; registered users automatically receive email notification of data updates.

Citing These Data

The following example shows how to cite the use of this data set in a publication. For more information, see our Use and Copyright Web page.

The following example shows how to cite the use of this data set in a publication: List the principal investigators, year of data set release, data set title and version number, dates of the data you used (for example, April 1982 - September 1992), publisher: NSIDC, and digital media.

Fowler, C. 2003, updated 2008. Polar Pathfinder Daily 25 km EASE-Grid Sea Ice Motion Vectors, [list the dates of the data used]. Boulder, Colorado USA: National Snow and Ice Data Center. Digital media.

Overview Table

Category Description
Data format Daily and mean gridded fields are in 2-byte integer format. Byte order is little-endian for daily and mean gridded fields. Browse images of mean fields are available in Portable Network Graphics (PNG) and Enhanced Postscript (EPS) format. Raw ice motion vectors are in tab-delimited ASCII text format.
Spatial coverage and resolution Spatial coverage extends from 48.4° N to 90° N, and from 53.2° S to 90° S. Actual coverage extends beyond these limits in the grid corners.
Temporal coverage and resolution Temporal coverage varies by sensor. Gridded data are available from November 1978 through December 2006.
Tools for accessing data IDL programs are available via FTP.
Grid type and size Subset of Northern Hemisphere 25 km EASE-Grid: 361 x 361 pixels
Subset of Southern Hemisphere 25 km EASE-Grid: 321 x 321 pixels
File naming convention icemotion.vect.ssmi.yyyyddd.n (and .s)
icemotion.vect.avhrr.yyyyddd.n (and .s)
icemotion.vect.buoy.yyyyddd.n
icemotion.vect.grid.yyyyddd.n (and .s)
icemotion.mean.jan-dec.1978-yyyy.n (and .s)
icemotion.mean.jan-dec.yyyy.n (and .s)
icemotion.mean.<month number>.yyyy.n (and .s)
icemotion.mean.week.<week number>.yyyy.n (and .s)
File size Raw ice motion vectors (uncompressed): 50 KB - 237 KB
Daily and mean gridded fields (uncompressed): 781.93 KB north, 618.25 KB south
Parameter(s) Sea ice motion
Procedures for obtaining data Data are available via FTP.

Table of Contents

  1. Contacts
  2. Detailed Data Description
  3. Data Access and Tools
  4. Data Acquisition and Processing
  5. References and Related Publications
  6. Document Information

1. Contacts

Investigator Name

Charles Fowler
CCAR, 431 UCB
University of Colorado
Boulder, CO USA 80309-0431

Technical Contact

NSIDC User Services
National Snow and Ice Data Center
CIRES, 449 UCB
University of Colorado
Boulder, CO 80309-0449  USA
phone: +1 303.492.6199
fax: +1 303.492.2468
form: Contact NSIDC User Services
e-mail: nsidc@nsidc.org

2. Detailed Data Description

Format

Raw Ice Motion Vectors

Data are in tab-delimited ASCII text format and each daily file contains a variable number of vectors. At the top of every file is a one-line header containing five numbers as described in Table 1.

Table 1: Header Row Description for Raw Ice Motion Vectors Files
Number Description
First Specifies the number of vectors (lines) in the file
Second Disregard this number
Third Original grid dimensions (x)
Fourth Original grid dimensions (y)
Fifth Disregard this number

After the header line, the data is listed in five columns as explained in Table 2.

Table 2: Column Descriptions for Raw Ice Motion Vectors Files
Column Name Description
1 x EASE-Grid row number for the start of the vector (vector starts in the center of the grid cell). The upper left corner is represented by x=0.
2 y EASE-Grid column number for the start of the vector (vector starts in the center of the grid cell). The upper left corner is represented by y=0.
3 u Vector component in cm/sec.
4 v Vector component in cm/sec.
5 z Source of the data (z value varies depending on instrument):
AVHRR: z represents the number of vectors averaged together at a given location from up to four passes and two channels (thermal and visible).
SMMR: z = 1: The vector was from the 37 GHz channels run over multiple days with a median value of the motions used to reduce weather effects
z = 2: The vector was from the 37 GHz channels
SSM/I: z = 1: The vector was from the 37 GHz channels run over multiple days with a median value of the motions used to reduce weather effects
z = 2: The vector was from the 37 GHz channels
z = 3: The vector was derived from the 85V GHz and 85H GHz channels
Buoys: z is the IABP buoy number.

See Sample Data Record for an example of a raw vector file derived from SSM/I.

Daily and Mean Gridded Fields

Daily and mean gridded fields are projected to Northern and Southern Hemisphere EASE-Grids. Data are in 2-byte integer binary format (little-endian). A pixel value of 0 in the third variable indicates no vectors at that location. Each vector represents three variables:

For the daily gridded data, the third variable contains the square root of the estimated error variance, scaled by 10, at a given location. The error variance is the estimated error of that vector obtained from the optimal interpolation process. It is dependent upon the distance from correlation functions of the input vectors and the variance of the input vectors.

If the closest input vector was greater than 1250 km, then a value of 1000 is added to this variable. Because interpolation was applied to a surface map from passive-microwave data, coastlines may contain false ice. In this case, the third variable was assigned a negative value to allow users to remove these vectors near coastlines (within 25 km). As an example, a value of -1035 indicates all of the following conditions:

For the mean grids, the third variable is the number of vectors that contributed to the mean value. The information contained in this third variable provides a means of characterizing data quality, in addition to the "near coastline" check described above. For example, a user might choose to filter out vectors with error variances above a certain level, or values for which the nearest observed vector was beyond a particular distance.

Row, Column to Latitude, Longitude

The files north_x_y_lat_lon and south_x_y_lat_lon are in tab-delimited ASCII text format with four columns as described in Table 3.

Table 3: Column Descriptions for north_x_y_lat_lon and south_x_y_lat_lon
Column Name Description
1 x Grid row number
2 y Grid column number
3 lat Corresponding latitude
4 lon Corresponding longitude

File and Directory Structure

The following diagram refers to the FTP site where data are available.

browse directory
data directory

Directory Descriptions

browse/: Plots of mean grids in Portable Network Graphics (PNG) and Enhanced Postscript (EPS) formats for the northern and southern polar regions.

avhrr/: ASCII ice motion vectors from AVHRR, organized in yearly tar files.

buoy/: ASCII ice motion vectors from buoys, organized in yearly tar files; North only.

grids/: Daily gridded fields, organized in yearly tar files.

means/: Mean gridded fields

ssmi/: ASCII ice motion vectors from SMMR and SSM/I, organized in yearly tar files.

tools/: IDL programs to read daily and mean gridded vectors, and create EPS plots.

Files are compressed and packaged in Unix tar files to facilitate FTP transfer. To uncompress and untar files, use the commands in the following example.

% uncompress 1978_weekly_means_s.tar.Z
% tar xvf 1978_weekly_means_s.tar
x icemotion.mean.week45.1978.s, 618246 bytes, 1208 blocks
x icemotion.mean.week46.1978.s, 618246 bytes, 1208 blocks
x icemotion.mean.week47.1978.s, 618246 bytes, 1208 blocks
x icemotion.mean.week48.1978.s, 618246 bytes, 1208 blocks
x icemotion.mean.week49.1978.s, 618246 bytes, 1208 blocks
x icemotion.mean.week50.1978.s, 618246 bytes, 1208 blocks
x icemotion.mean.week51.1978.s, 618246 bytes, 1208 blocks
x icemotion.mean.week52.1978.s, 618246 bytes, 1208 blocks
%

File Naming Convention

ASCII Ice Motion Vectors

icemotion.vect.ssmi.yyyyddd.n (and .s)
icemotion.vect.avhrr.yyyyddd.n (and .s)
icemotion.vect.buoy.yyyyddd.n

Daily Gridded Fields

icemotion.vect.grid.yyyyddd.n (and .s)

Example: icemotion.vect.grid.1978132.n

Mean Grid for Entire Time Series

icemotion.mean.jan-dec.1978-yyyy.n (and .s), where yyyy is the 4-digit year for the last year of data available.

Example:icemotion.mean.jan-dec.1978-2006.n

Yearly Mean Grids

icemotion.mean.jan-dec.yyyy.n (and .s)

Example: icemotion.mean.jan-dec.1978.n

Monthly Mean Grids

icemotion.mean.<month number>.yyyy.n (and .s)

Example: icemotion.mean.11.1978.n

Weekly Mean Grids

icemotion.mean.week.<week number>.yyyy.n (and .s)

Example: icemotion.mean.week.13.1978.n

Browse images of mean grids have .png and .eps file extensions.

File Size

Raw ice motion vectors (uncompressed): 50 KB - 237 KB
Daily and mean gridded fields (uncompressed): 781.93 KB north, 618.25 KB south

Spatial Coverage

Spatial coverage of gridded data extends from 48.4* degrees to 90 degrees north latitude, and from 53.2* degrees to 90 degrees south latitude. The actual coverage extends beyond these limits in the grid corners. Table 4 and 5 summarize the values of corner pixels for the Northern and Southern Hemispheres, respectively.

Table 4: Northern Hemisphere Corner Pixels
Corner Center of
corner pixel
Outer edge
of corner pixel
Upper left 29.89694° N, 135.00000° W 29.71270° N, 135.00000° W
Upper right 29.89694° N, 135.00000° E 29.71270° N, 135.00000° E
Lower left 29.89694° N, 45.00000° W 29.71270° N, 45.00000° W
Lower right 29.89694° N, 45.00000° E 29.71270° N, 45.00000° E

 

Table 5: Southern Hemisphere Corner Pixels
Corner Center of
corner pixel
Outer edge
of corner pixel
Upper left 37.13584° S, 135.00000° W 36.95776° S, 135.00000° W
Upper right 37.13584° S, 135.00000° E 36.95776° S, 135.00000° E
Lower left 37.13584° S, 45.00000° W 36.95776° S, 45.00000° W
Lower right 37.13584° S, 45.00000° E 36.95776° S, 45.00000° E

*For the Northern Hemisphere, the center of the tangent pixels is 48.42649° N and the outer edge is 48.40237° N. For the Southern Hemisphere, the center of the tangent pixels is 53.21244° S and the outer edge is 53.18868° S.

Spatial Coverage Map

Click on the thumbnails below to see detailed coverage maps.

AVHRR 5-km Northern Hemisphere coverage vector orientation AVHRR 5-km Southern Hemisphere coverage

Spatial Resolution

Source data are regridded to Northern and Southern Hemisphere EASE-Grids with 25 km pixel spacing.

Projection

Data are georeferenced to the EASE-Grid projection, an azimuthal equal area projection. Please review the Summary of EASE-Grid Map Projection Parameters for details on the EASE-Grid projection.

Grid Description

The northern grid is 361 x 361, centered on the geographic North Pole. The southern grid is 321 x 321, centered on the geographic South Pole. Pixel size is 25 km. Grid coordinates begin in the upper left corner of the grid. These grids are subsets of the Northern and Southern EASE-Grids. Please see Summary of EASE Grid Map Projection Parameters for more information, or All About EASE-Grid for more information on related products and tools.

Temporal Coverage

The temporal coverage varies by type of data and/or by sensor, as shown in Table 6.

Table 6: Temporal Coverage
Type/Sensor Start Date End Date
Daily Gridded Fields 01 November 1978 31 December 2006
Daily ASCII Ice Motion Vectors
    AVHRR 24 July 1981 30 December 2000
    Buoy 18 January 1979 30 December 2005 (North only)
    SSM/I 25 October 1978 31 December 2006
Mean Gridded Fields
    All 1978 2006
    Climatological monthly means November 1978 December 2006
    Weekly means Week 45 in 1978 Week 52 in 2006
    Yearly means 1979 2006

Temporal Resolution

The temporal resolution varies by sensor, as shown in Table 7.

Table 7: Temporal Resolution
Sensor Resolution
AVHRR Four satellite passes are used each day when available.
Buoys The 12:00 Greenwich Mean Time (GMT) buoy positions were used to compute 24-hour mean velocities.
SMMR Data are available every two days for any given pixel.
SSM/I Data are available every day for any given pixel.

Sample Data Record

Following is a sample of raw vectors derived from SSM/I data. The first seven lines of icemotion.vect.ssmi.2003078.n are shown. The first line is the header and indicates that this file contains 1679 vectors and that the original grid was 1805 x 1805 pixels. For a description of the data columns see the Raw Ice Motion Vectors Format section of this document.

 1679 1 1805 1805  0.0691199973
    747.50    267.50      0.00      0.00      3.00
    897.50    267.50      0.00      0.00      3.00
    912.50    267.50      0.00      0.00      3.00
    882.50    282.50      9.05      7.24      3.00
    897.50    282.50      0.00      3.62      3.00
    912.50    282.50      0.00      0.00      3.00

Quality Assessment

See the following for accuracy estimates of ice motion from each sensor.

Ice motion from AVHRR

Ice motion from SMMR and SSM/I

Ice motion from Buoys

3. Data Access and Tools

Data Access

Data are available via FTP.

Software and Tools

Several IDL programs are available via FTP to read ice motion data, and create Postscript plots or display data to a screen. The IDL prcedures and descriptions are listed in Table 8.

Table 8: IDL Procedures and Descriptions
IDL Procedure Description
display_nogrid_north.pro SSM/I and AVHRR vectors, North
display_nogrid_south.pro SSM/I and AVHRR vectors, South
disp_ice_motion.pro IDL procedure for creating animations of gridded and non-gridded sea ice motion vectors.

The programs display_nogrid_north.pro and display_nogrid_south.pro do not work with buoy-derived ASCII vectors.

The map files nsidc_north_map and nsidc_south_map are required for the IDL programs listed in Table 8 to run. These map files are provided in the tools directory: Following is an example of running an IDL program:

IDL> display_nogrid_north, 'icemotion.nogrid.1978132.n'

The files north_x_y_lat_lon and south_x_y_lat_lon are latitude and longitude grids with 25 km pixel spacing, for overlay with daily and mean gridded vector fields.

Animation

The file disp_ice_motion.pro animates daily and mean gridded data by day, week, month, or year. The map files nsidc_north_map and nsidc_south_map must be in the same directory as the IDL program. Following is an example of how to animate northern daily ice motion grids from 01 November 1978 through 01 December 1978:

IDL> disp_ice_motion
% Compiled module: DISP_ICE_MOTION.
Enter time category (1 = Daily Raw Sensor Data or Grids)
                           (2 = Weekly Mean Grids)
                           (3 = Monthly Mean Grids)
                           (4 = Yearly Mean Grids)
: 1 Enter start and end dates for animation (yyyymmdd, e.g., 19950610).
Start Date: 19781101
% Compiled module: JULDAY.
End Date: 19781201
Enter the data type (1 = AVHRR)
                           (2 = Buoy)
                           (3 = SMMR)
                           (4 = SSM/I)
                           (5 = grid)
: 5
Enter the hemisphere (1 = northern)
                             (2 = southern)
: 1
Enter the full name of the directory that the ice motion files are in.
(Note: must correctly use upper and lower case letters.)
: <enter relative or full directory path here>

Related Data Collections

4. Data Acquisition and Processing

Theory of Measurements

Measurement of sea ice movement is accomplished with frequent repeat coverage of remotely-sensed imagery. Ice motion computed from satellite imagery represents the displacement between the acquisition times of two images with the same spatial coverage. Researchers identify a feature (such as an ice floe) on two registered images and measure its pixel displacement. Ice velocity vectors are computed based on the pixel resolution and time span between images.

A more automated method is to measure the correlation of groups of pixels between image pairs. A small target area in one image is correlated with several areas of the same size in a search region of the second image. The displacement of the ice is then defined by the location in the second image where the correlation coefficient is the highest. This spatial correlation method is used to produce ice motion vectors for this data set. This approach is generally valid over short distances away from the ice edge in areas where ice conditions are relatively stable from day to day. Spatial correlation methods cannot, however, find matches between images where a complete knowledge of ice dynamics is needed; for example, in areas where ice is deforming or in the ice margins near the open ocean where ice can deform and rotate -- for example, areas where the spatial or spectral characteristics of the ice within a pixel are changing rapidly (Emery, Fowler, and Maslanik 1995).

Sensor or Instrument Description

Please refer to the following documents for details of each sensor:

Data Source

AVHRR Data
AVHRR Global Area Coverage (GAC) images at 5 km gridded resolution were used to estimate ice motion over the Arctic and Antarctic, because they were available for nearly the entire time series, they provide an intermediate spatial resolution between passive microwave and buoys, they provide finer time sampling than microwave data, and they are not subject to the same error sources as the other data sets.

Passive Microwave Data
NSIDC provided NIMBUS-7 SMMR Pathfinder Brightness Temperatures at 37 GHz (25 km gridded resolution). Because of satellite limitations, full Arctic coverage was only available every two days with SMMR. NSIDC also provided DMSP SSM/I-SSMIS Daily Polar Gridded Brightness Temperatures at 37 GHz (25 km resolution) and 85 GHz (12.5 km resolution) vertical and horizontal polarizations. These data essentially provide all-sky coverage, whereas AVHRR data are limited by cloud cover.

Buoy Data
International Arctic Buoy Program (IABP) "C" data were used to calculate ice motion vectors from buoys. IABP provides buoy location information through satellite tracking of buoys placed on sea ice. Several buoy locations are determined each day, and corresponding ice motions are calculated. Ice motion from buoys is very accurate, but it is limited since the numbers and locations of buoys are driven by cost and logistics. Also, buoys have not been placed on ice in the Eastern Arctic.

Processing Steps

See the following for detailed information about the methods Fowler used to compute ice motion fields:

Daily gridded fields

Ice motion from AVHRR

Ice motion from SMMR and SSM/I

Ice motion from Buoys

Mean Fields
Fowler computed mean ice motion from the daily gridded ice motion data. The northern and southern polar regions have several mean fields: weekly, monthly, annual, and mean for the entire time series (November 1978 to March 2003). For the northern region, Fowler calculated a mean for October through June -- from freezing to melting seasons. In some cases, this may be of more use than the annual mean in the Arctic.

For the weekly means, at least five out of seven days were needed to compute each vector mean. For the monthly means, at least 20 days were needed. For any mean greater than one month, at least 40 days were needed.

Weekly means for each year start at 01 January for consistency. The last day of each year, or two days if in a leap year, were not used.

5. References and Related Publications

Cracknell, A. 1997. The Advanced Very High Resolution Radiometer. London: Taylor and Francis.

Emery, W., C. Fowler, and J. Maslanik. 1995. Satellite Remote Sensing of Ice Motion, in Oceanographic Applications of Remote Sensing, ed. Motoyoshi Ikeda and Frederic W. Dobson. CRC Press, Boca Raton.

Isaaks, E., and R. M. Srivastava. 1989. An Introduction to Applied Geostatistics. New York: Oxford University Press.

Kidwell, K. 1995. NOAA Polar Orbiter Data User's Guide. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, NESDIS.

Maslanik, J., C. Fowler, J. Key, T. Scambos, T. Hutchinson, and W. Emery. 1998. AVHRR-based Polar Pathfinder Products for Modeling Applications. Annals of Glaciology 25:388-392

Rosborough, G., D. Baldwin, and W. Emery. 1994. Precise AVHRR Image Navigation. IEEE Transactions in Geosciences and Remote Sensing 32(3):644-657.

Schweiger, A., C. Fowler, J. Key, J. Maslanik, J. Francis, R. Armstrong, M. J. Brodzik, T. Scambos, T. Haran, M. Ortmeyer, S. Khalsa, D. Rothrock, and R. Weaver. 1999. P-Cube: A Multisensor Data Set for Polar Climate Research. Proceedings on the 5th Conference on Polar Meteorology and Oceanography, American Meteorological Society, Dallas, TX, 15-20 Jan., 136-141.

6. Document Information

Acronyms and Abbreviations

The acronyms and abbreviations used in this document are listed in Table 9.

Table 9: Acronyms and Abbreviations
Acronym Description
ASCII American Standard Code for Information Interchange
AVHRR Advanced Very High Resolution Radiometer
CCAR Colorado Center for Astrodynamics Research
EASE-Grid Equal Area Scalable Earth-Grid
FTP File Transfer Protocol
GAC Global Area Coverage
GISMO Graphical Interface for Subsetting, Mapping, and Ordering
GMT Greenwich Mean Time
IABP International Arctic Buoy Programme
MCC Maximum Cross Correlation
NSIDC National Snow and Ice Data Center
NOAA National Oceanic and Atmospheric Administration
RMS Root mean square
SMMR Scanning Multichannel Microwave Radiometer
SSM/I Special Sensor Microwave/Imager
URL Uniform Resource Locator

Document Creation Date

May 2003

Document Revision Date

February 2008
September 2007

Document URL

http://nsidc.org/data/docs/daac/nsidc0116_icemotion.gd.html