deps(deps): bump pycontrails[ecmwf,gcp,gfs,jupyter,pyproj] from 0.60.1 to 0.60.2 in the python-minor group

[dependabot]

Bumps the python-minor group with 1 update: pycontrails[ecmwf,gcp,gfs,jupyter,pyproj].

Updates pycontrails[ecmwf,gcp,gfs,jupyter,pyproj] from 0.60.1 to 0.60.2

Release notes

Sourced from pycontrails[ecmwf,gcp,gfs,jupyter,pyproj]'s releases.

v0.60.2

Features

• Improve memory and compute performance of the extended K15 model by constructing intermediate lookup tables for the activation radius calculation. The new implementation uses a cached RegularGridInterpolator to approximate the activation radius instead of repeated root-finding, providing significant speedups when running the vPM activation model over large datasets (such as in CocipGrid or Cocip with a large Fleet).
• Add new CocipParams.max_horizontal_diffusivity and CocipParams.max_vertical_diffusivity parameters to cap the maximum diffusivity used within Cocip to simulate contrail spreading. Both parameters are optional and default to None, in which case no cap is applied. See Section 2.2 of Schumann and Seifert (2025) for details.
• Allow passing max_depth=None as a valid CocipParams parameter to disable the maximum contrail depth limit in Cocip. In a future release, the diffusivity-based depth limit will be the default behavior.

Fixes

• Update PycontrailsRegularGridInterpolator for compatibility with changes introduced in scipy 1.17.

Internals

• Change the default n_plume_points parameter in droplet_apparent_emission_index from 50 to 40.
• The experimental warning in the extended K15 model can now be suppressed by setting the PYCONTRAILS_SILENCE_VPM_WARNING environment variable.
• Add a Particle.vpm_ei field to represent the volatile particulate matter (vPM) emission index number. Remove the vpm_ei_n parameter in various functions within the extended_k15 module in favor of this new field.

Changelog

Sourced from pycontrails[ecmwf,gcp,gfs,jupyter,pyproj]'s changelog.

0.60.2

Features

• Improve memory and compute performance of the extended K15 model by constructing intermediate lookup tables for the activation radius calculation. The new implementation uses a cached RegularGridInterpolator to approximate the activation radius instead of repeated root-finding, providing significant speedups when running the vPM activation model over large datasets (such as in CocipGrid or Cocip with a large Fleet).
• Add new CocipParams.max_horizontal_diffusivity and CocipParams.max_vertical_diffusivity parameters to cap the maximum diffusivity used within Cocip to simulate contrail spreading. Both parameters are optional and default to None, in which case no cap is applied. See Section 2.2 of Schumann and Seifert (2025) for details.
• Allow passing max_depth=None as a valid CocipParams parameter to disable the maximum contrail depth limit in Cocip. In a future release, the diffusivity-based depth limit will be the default behavior.

Fixes

• Update PycontrailsRegularGridInterpolator for compatibility with changes introduced in scipy 1.17.

Internals

• Change the default n_plume_points parameter in droplet_apparent_emission_index from 50 to 40.
• The experimental warning in the extended K15 model can now be suppressed by setting the PYCONTRAILS_SILENCE_VPM_WARNING environment variable.
• Add a Particle.vpm_ei field to represent the volatile particulate matter (vPM) emission index number. Remove the vpm_ei_n parameter in various functions within the extended_k15 module in favor of this new field.

Commits

• ff1afff update docstrings
• 73ff749 calm mypy
• 306a65c update changelog, fix CocipGrid and DryAdvection
• f27274c Add two new CoCiP params - max_horizontal_diffusivity and `max_vertical_dif...
• 148d1f5 Updates to extended K15 to allow for multiple vPM particles
• 3215ffc Bug fix to output_formats
• 6196fc6 Replace max depth with horizontal and vertical diffusivity limits
• ca54be6 fix sentinel tests
• 4e96c1c PERF: interpolate to estimate activation radius in vPM module
• ea47292 address mypy issue
• Additional commits viewable in compare view

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