PIOMAS (Pan-Arctic Ice-Ocean Modeling and Assimilation System) Data Sets – from the Retrospective Investigation
The PIOMAS Data Sets from the retrospective investigation include model output for 1978-2005. We provide the output from the Pan-Arctic Ice-Ocean Modeling and Assimilation System (PIOMAS) for best possible estimates of some key ice and ocean variables. The data sets only include results for the period of 1978-2005 when satellite ice concentration data are available for assimilation. These data sets include arctic sea ice thickness and concentration, snow depth, ice growth rate, ocean surface salinity, and more…
The sea ice thickness fields are illustrated by movies.
|Sea ice thickness||heff||2-D||m||heff.H<yyyy>|
|Sea ice concentration||area||2-D||area.H<yyyy>|
|Snow depth (water equivalent)||snow||2-D||m||snow.H<yyyy>|
|Sea ice growth rate, (meter of ice)/s *||icegrow||2-D||m/s||icegrow.H<yyyy>|
|Sea ice velocity, u and v components||icevel||2-D||m/s||icevel.H<yyyy>|
|Surface temperature (on snow/ice/ocean)||tice0||2-D||K||tice0.H<yyyy>|
|Sea ice advection (-delta(uh))||advect||2-D||m/s||advect.H<yyyy>|
|Ocean heat flux used to melt|
ice, unit: (meter of ice)/s
|Sea surface height||ssh||2-D||cm||ssh.H<yyyy>|
|Ocean surface salinity||osali1||2-D||psu||osali1.H<yyyy>|
|Ocean salinity of first 10 levels||osali1_10||3-D||psu||osali1_10.H<yyyy>|
|Ocean surface temperature||otemp1||2-D||C||otemp1.H<yyyy>|
|Ocean temperature of first 10|
|Ocean velocity at 15 m depth, u & v||uo2||2-D||cm/s||uo2.H<yyyy>|
|P-E, NCEP/NCAR Reanalysis forcing||p-e.m.nmc||2-D||m/s||p-e.m.nmc.<yyyy>|
* Ice growth rate is valid only in ice covered areas.
Methods and data:
SSM/I ice concentration data were assimilated in the TED sea ice model.
|Grid configuration||Generalized curvilinear coordinate system|
|Grid Size:||360 x 120|
|Spatial Coverage||45o N – 90o N|
|Spatial Coverage||The grid domain is shown here|
|lon and lat for scalar fields||grid.dat|
|lon and lat for vector fields||grid.dat.pop|
|angle between latitude line|
and grid cell x-coordinate line
Currently monthly data from 1/1978 to 12/2004. Each file contains 12 monthly 2-D or 3-D fields.
The data are flat binary files (no headers) consisting of single-precision floating-point numbers. The data were written as unformatted direct access files on a Linux PC cluster. Byte order may have to be changed if you are using a machine using a different byte order (e.g. HP workstations ). A FORTRAN program demonstrating how to read sea ice thickness and velocity and grid information is provided (read_hi_uice.f).
An IDL program demonstrating how to read scalar fields and grid information is also provided (read_draw_hi.pro). Another IDL routine (read_draw_uice.pro)
is provided to read vector fields and vector grid information. It also plots ice velocity on a spherical coordinate system using the angle between the latitude line
and the grid cell x-coordinate line (alpha.fortran.dat).
The structure of the data sets should be apparent from these routines. Please let us know if you have difficulty reading the data.
read_hi_uice.f : FORTRAN program to read sea ice thickness and velocity and grid information, can be used to read other scalar and vector fields
read_draw_hi.pro : IDL program to read and plot sea ice thickness, can be used to read other scalar fields such as ice concentration and snow depth
read_draw_uice.pro : IDL program to read and plot sea ice velocity, can be used to read and plot other vector fields such as ocean velocity
colorbar.pro: IDL routine for drawing color bar
con_clr.pro: IDL routine for setting colors
redblue.pro: IDL routine for setting red and blue colors
LLtoXY.pro: IDL routine for plotting vectors
LLtoXY_s.pro: IDL routine for plotting vectors
XYtoLL.pro: IDL routine for plotting vectors
XYtoLL_s.pro: IDL routine for plotting vectors
heads.pro: IDL routine for plotting vectors
io.dat_360_120.output: model grid mask; ocean levels > 0, land <= 0
You can access the data via FTP by entering ‘ftp psc.apl.washington.edu’, then ‘anonymous’ as your log name, and your email address as password. After entering the web site, go to zhang/IDAO/retrospection.
You can also access the data from here: ftp://psc.apl.washington.edu/zhang/IDAO/retrospection
If you are downloading the data, please e-mail us at zhang©apl•washington•edu (zhang©apl•washington•edu) we
can update you on changes, bugs etc.
We’d appreciate your reference to the following paper for using the data:
Zhang, Jinlun and D.A. Rothrock: Modeling global sea ice with a thickness and enthalpy distribution model in generalized curvilinear coordinates, Mon. Wea. Rev. 131(5), 681-697, 2003.