Metadata-Version: 1.1
Name: seawater
Version: 3.3
Summary: Seawater Libray for Python
Home-page: http://pypi.python.org/pypi/seawater/
Author: Filipe Fernandes
Author-email: ocefpaf@gmail.com
License: The MIT License (MIT)

Copyright (c) 2013 Filipe

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Download-URL: http://pypi.python.org/packages/source/s/seawater/seawater-3.3.tar.gz
Description: Python Seawater
        ===============
        
        The CSIRO seawater toolbox ([SEAWATER-3.3](http://www.cmar.csiro.au/datacentre/ext_docs/seawater.htm))
        for calculating the properties of sea water.  The package uses the formulas
        from Unesco's joint panel on oceanographic tables and standards, UNESCO 1981
        and UNESCO 1983 (EOS-80) .
        
        The EOS-80 library is considered now obsolete;  it is provided here for
        compatibility with old scripts, and to allow a smooth transition to the new
        TEOS-10.
        
        gibbs vs. csiro
        ---------------
        
        This table shows some function names in the gibbs library and the corresponding
        function names in the csiro library.
        
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | **Variable**                          | **SeaWater & ESO‐80**         | **Gibbs‐SeaWater (GSW) & TEOS‐10**                    |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | Absolute Salinity                     |          NA                   | gsw.SA_from_SP(SP,p,long,lat)                         |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | Conservative Temperature              |          NA                   | gsw.CT_from_t(SA,t,p)                                 |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | density (i.e. in situ density)        |  sw.dens(SP,t,p)              | gsw.rho_CT(SA,CT,p), or gsw.rho(SA,t,p), or           |
        |                                       |                               | gsw.rho_CT25(SA,CT,p)                                 |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | potential density                     |  sw.pden(SP,t,p,pr)           | gsw.rho_CT(SA,CT,pr), or                              |
        |                                       |                               | gsw.rho_CT25(SA,CT,pr)                                |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | potential temperature                 |  sw.ptmp(SP,t,p,pr)           | gsw.pt_from_t(SA,t,p,pr)                              |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | $\sigma_0$, using                     |  sw.dens(SP, $\theta_o$, 0)   | gsw.sigma0_CT(SA,CT)                                  |
        |  $\theta_o$ = sw.ptmp(SP,t,p,0)       |  -1000 kg m $^{-3}$           |                                                       |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | $\sigma_2$, using                     |  sw.dens(SP,$\theta_2$, 2000) | gsw.sigma2_CT(SA,CT)                                  |
        |  $\theta_2$ = sw.ptmp(SP,t,p,2000)    |  -1000 kg m $^{-3}$           |                                                       |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | $\sigma_4$, using                     |  sw.dens(SP,$\theta_4$, 4000) | gsw.sigma2_CT(SA,CT)                                  |
        |  $\theta_4$ = sw.ptmp(SP,t,p,2000)    |  -1000 kg m $^{-3}$           |                                                       |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | specific volume anomaly               |  sw.svan(SP,t,p)              | gsw.specvol_anom_CT(SA,CT,p)  or                      |
        |                                       |                               | gsw.specvol_anom_CT25(SA,CT,p)                        |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | dynamic height anomaly                | -sw.gpan(SP,t,p)              | gsw.geo_strf_dyn_height(SA,CT,p,delta_p,interp_style) |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | geostrophic velocity                  |  sw.gvel(ga,lat,long)         | gsw.geostrophic_velocity(geo_str,long,lat,p)          |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | N $^2$                                |  sw.bfrq(SP,t,p,lat)          | gsw.Nsquared_CT25(SA,CT,p,lat)                        |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | pressure from height                  |  sw.pres(-z,lat)              | gsw.p_from_z(z,lat)                                   |
        | (SW uses depth, not height)           |                               |                                                       |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | height from pressure                  |  z =  -sw.dpth(p,lat)         | gsw.z_from_p(p,lat)                                   |
        | (SW outputs depth, not height)        |                               |                                                       |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | in situ temperature from pt           |  sw.temp(SP,pt,p,pr)          | gsw.pt_from_t(SA,pt,pr,p)                             |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | sound speed                           |  sw.svel(SP,t,p)              | gsw.sound_speed(SA,t,p)                               |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | isobaric heat capacity                |  sw.cp(SP,t,p)                | gsw.cp(SA,t,p)                                        |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | adiabatic lapse rate*                 |  sw.adtg(SP,t,p)              | gsw.adiabatic_lapse_rate(SA,t,p)                      |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | SP from cndr,  (PSS‐78)               |  sw.salt(cndr,t,p)            | gsw.SP_from_cndr(cndr,t,p)                            |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | cndr from SP,  (PSS‐78)               |  sw.cndr(SP,t,p)              | gsw.cndr_from_SP(SP,t,p)                              |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | distance                              |  sw.dist(lat,long,units)      | gsw.distance(long,lat,p)                              |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | gravitational acceleration            |  sw.g(lat,z)                  | gsw.grav(lat,p)                                       |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | Coriolis parameter                    |  sw.f(lat)                    | gsw.f(lat)                                            |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        | testing of all functions              |  sw.test()                    | gsw.test()                                            |
        +---------------------------------------+-------------------------------+-------------------------------------------------------+
        
        \* The sw and gsw functions output the adiabatic lapse rate in different units
        being  K (dbar) $^{-1}$  and  K Pa $^{-1}$  respectively.
        
        
        More information:
            http://pypi.python.org/pypi/seawater/
        
        
        What's new in this version of seawater
        ======================================
        
        19 April 2006  release 3.2
        --------------------------
        Corrected sign of potential vorticity in `bfrq`.
        
        24 November 2005  release 3.1
        -----------------------------
        Added `swvel` to compute surface wave velocity.
        
        12 December 2003  release 3.0
        -----------------------------
        Converted code so that temperature is now ITS-90 throughout.
        
        25 June 1999  release 2.0.2
        ---------------------------
        Coding changes to enable functions to return the same shape vector as
        the input arguments.  In previous releases, some functions returned
        column vectors for row vector input.  Also some other tidying up.
        
        22 April 1998  release 2.0.1
        ----------------------------
        `satAr`    New routine.  Solubility of Ar in seawater
        `satN2`    New routine.  Solubility of N2 in seawater
        `satO2`    New routine.  Solubility of O2 in seawater
        `test`     Updated to include tests for above
        
        April 1998  release 1.2e
        ------------------------
        `alpha`    Fixed bug where temp used in calculations regardless of the keyword.
        
        15 November 1994 release 1.2d
        -----------------------------
        `bfrq`   Now also returns potential vorticity.  Thanks to Greg Johnson
                 (gjohnson@pmel.noaa.gov)
        
        `gvel`   OMEGA=7.29e-5 changed to OMEGA=7.292e-5 to be consistent with `f`
        
        IMPORTANT API CHANGE: The usage of `alpha`, `beta` and `aonb` routines has
        changed!  All these routines expect (S,T,P) to be passed instead of (S,PTMP,P)
        as in previous releases of seawater.  Fast execution can still be obtained by
        passing ptmp=True see help.
        
        19 October 1994 release 1.2c
        ----------------------------
        `bfrq`   Fixed bug where LAT = [] was needed as argument when no latitude
                 values are being passed.  Now pass PRESSURE instead of DEPTH ->
                 more consistent though only a negligible change is answers.
        
        12 October 1994 release 1.2b
        ----------------------------
        First official release and announcement on the networks.
        
Keywords: oceanography,seawater
Platform: any
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Education
Classifier: Topic :: Software Development :: Libraries :: Python Modules
