PIOMAS (Pan-Arctic Ice-Ocean Modeling and Assimilation System) Data Sets

PIOMAS (Pan-Arctic Ice-Ocean Modeling and Assimilation System) Data Sets from the Retrospective Investigation

Overview:

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.

Variables:

 
VariableVariable name

in programs

DimensionUnitFile name
Sea ice thicknessheff2-Dmheff.H<yyyy>
Sea ice concentrationarea2-Darea.H<yyyy>
Snow depth (water equivalent)snow2-Dmsnow.H<yyyy>
Sea ice growth rate, (meter of ice)/s  *icegrow2-Dm/sicegrow.H<yyyy>
Sea ice velocity, u and v componentsicevel2-Dm/sicevel.H<yyyy>
Surface temperature (on snow/ice/ocean)tice02-DKtice0.H<yyyy>
Sea ice advection (-delta(uh))advect2-Dm/sadvect.H<yyyy>
Ocean heat flux used to melt
ice, unit: (meter of ice)/s
oflux2-Dm/soflux.H<yyyy>
Sea surface heightssh2-Dcmssh.H<yyyy>
Ocean surface salinityosali12-Dpsuosali1.H<yyyy>
Ocean salinity of first 10 levelsosali1_103-Dpsuosali1_10.H<yyyy>
Ocean surface temperatureotemp12-DCotemp1.H<yyyy>
Ocean temperature of first 10
levels
otemp1_103-Dpsuotemp1_10.H<yyyy>
Ocean velocity at 15 m depth, u & vuo22-Dcm/suo2.H<yyyy>
P-E, NCEP/NCAR Reanalysis forcingp-e.m.nmc2-Dm/sp-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:

Grid Parameters:

Grid configurationGeneralized curvilinear coordinate system
Grid Size:360 x 120
Spatial Coverage45o N – 90o N
Spatial CoverageThe grid domain is shown here
lon and lat for scalar fieldsgrid.dat
lon and lat for vector fieldsgrid.dat.pop
angle between latitude line
and  grid cell x-coordinate line
alpha.fortran.dat

 

Temporal Coverage

Currently monthly data  from 1/1978 to 12/2004. Each file contains 12 monthly 2-D or 3-D fields.

Data Format:

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.

Utilities:

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

Data Access:

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.

Attribution:

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.