BAS-PRO solutions J81, SA19 and S16
<p><strong>Overview</strong></p> <p>This set of directories contains three solutions from the BAS-PRO proton radiation belt model. These solutions are saved as .cdf files, making available unidirectional, differential proton flux j as a function of time, first invariant mu, second invariant K and third invariant L or phi. The value of the distribution function f is also available (see below format information).</p> <p>The time period modelled is from 1st March 2014, to 1st February 2018.</p> <p>The three solutions correspond to different radial diffusion coefficients ('DLL') like so:<br> <br> - solution 20220203_220342 corresponds to the DLL from Jentsch, 1981 (Equation 18, Selesnick et al., 2007)<br> - solution 20220203_220420 corresponds to the post-1st Jan 2015 DLL from Equation 5, Selesnick & Albert, 2019 (SA19)<br> - solution 20220203_220436 corresponds to the DLL from Equation 12, Selesnick et al., 2016 (S16)</p> <p>There are two .cdf files for each solution: one file is a high resolution static solution, corresponding to 1st February 2018, which is the final output of each model run; the second (larger) file is a lower resolution dynamic (time-dependent) solution, corresponding to the ~four year period above. Both solutions were generated from a high resolution model run, but the dynamic solution was output at a lower resolution to save disk space.</p> <p>These solutions can be considered updates to the work shown in Lozinski et al., 2021 (<a href="https://doi.org/10.1029/2021JA029777">https://doi.org/10.1029/2021JA029777</a>)</p> <p>A set of Python scripts to create plots of the data are available at <a href="https://github.com/AlexisNaN/BAS-PRO_plotting">https://github.com/AlexisNaN/BAS-PRO_plotting</a>. Example plots of each dynamic solution are included in the attached data, produced using this set of Python scripts.</p> <p><strong>Format of the dynamic solution cdf files (i.e. 20220203_220420_solution_dyn.cdf):</strong></p> <p> axis_mu<br> shape: (482,)<br> units: log10(mu/ (1 MeV/G) )</p> <p> axis_K<br> shape: (35,)<br> units: G^0.5 RE</p> <p> axis_L<br> shape: (34,)</p> <p> axis_t<br> shape: (206,)<br> units: seconds since Jan 01 1970 (UTC)</p> <p> axis_t_date<br> shape: (206,)<br> units: datetime CDF object</p> <p> map_KL-aeq<br> shape: (34, 35)<br> units: degrees</p> <p> axis_phi<br> shape: (34,)<br> units: T m2</p> <p> f<br> shape: (206, 482, 35, 34)<br> units: km-6 s3<br> desc: distribution function: relativistic phase space density multiplied by proton rest mass cubed</p> <p> energy<br> shape: (1, 482, 35, 34)<br> units: MeV<br> desc: energy at each data coordinate, assumed constant in time (ignoring secular variation)</p> <p> j<br> shape: (206, 482, 35, 34)<br> units: cm-2 s-1 str-1 MeV-1<br> desc: unidirectional differential proton flux</p> <p> </p> <p><strong>Format of the static solution cdf files (i.e. 20220203_220420_solution.cdf):</strong></p> <p> axis_mu<br> shape: (700,)<br> units: log10(mu/ (1 MeV/G) )</p> <p> axis_K<br> shape: (35,)<br> units: G^0.5 RE</p> <p> axis_L<br> shape: (171,)</p> <p> axis_t<br> shape: (1,)<br> units: seconds since Jan 01 1970 (UTC)</p> <p> axis_t_date<br> shape: (1,)<br> units: datetime CDF object</p> <p> map_KL-aeq<br> shape: (171, 35)<br> units: degrees</p> <p> axis_phi<br> shape: (171,)<br> units: T m2</p> <p> f<br> shape: (1, 700, 35, 171)<br> units: km-6 s3<br> desc: distribution function: relativistic phase space density multiplied by proton rest mass cubed</p> <p> energy<br> shape: (1, 700, 35, 171)<br> units: MeV<br> desc: energy at each data coordinate, assumed constant in time (ignoring secular variation)</p> <p> j<br> shape: (1, 700, 35, 171)<br> units: cm-2 s-1 str-1 MeV-1<br> desc: unidirectional differential proton flux</p> <p> </p> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4