IMI 2.0

This is the official release of IMI 2.0:

High-level feature updates

For more information please see the IMI 2.0 research paper.

Blended TROPOMI+GOSAT Dataset Integration: Uses ML based correction to reduce biases associated with TROPOMI observations
Point Source Support: Integrates point source observations into state vector generation.
Enhanced Computational Efficiency: 10x faster Jacobian construction speeds.
Super-Observations: Uses aggregated observations to improve error characterization.
Improved Boundary Conditions: Includes options to optimize boundary conditions.
Adaptive Spatial Resolution: Dynamically adjusts spatial resolution based on expected information content.
Methane Sink Optimization: Allows OH optimization as part of the inversion.
Global Inversion Capability: Enables global emissions inversions.
Continuous Monitoring: Kalman filter option for continuous emission tracking.
Updated Emission Inventories: Incorporates new prior emission data sources.
Lognormal Error PDFs: Supports lognormal distributions to better capture heavy-tailed emissions data.
Enhanced Visualization Options: Adds new sectoral emissions and temporal variability outputs.
Docker Containerization: Facilitates local deployment and compatibility with automated cloud platforms.

Bugfix/precomputed k sfs by @laestrada in #283
update the readthedocs with faqs, glossary, and best practices by @laestrada in #284
Bugfix for calculating jacobian scale factor by @megan-he in #285

Full Changelog: imi-2.0.0-beta.4...imi-2.0.0