This dataset contains TCCON data average to 30 min bins through the beginning of April 2024. This release is intended to support the OCO v11 Model Intercomparison Project. Please review the TCCON data use policy on the TCCON wiki at https://tccon-wiki.caltech.edu/Main/DataUseGuidelines, particularly the section on coauthorship. Some of the data ...

This repo contains experimental code designed to test the ability of a machine learning model trained on [TCCON](https://tccondata.org/) data to reproduce diurnal cycles of XCO2 from more temporally sparse observations, such as those from satellites.

Partial column (surface to 2 km and 2km to top of atmosphere) carbon dioxide and carbon monoxide data for North American TCCON sites. 

Python code to generate TCCON GGG2020 priors. This package requires Anaconda or Miniconda Python to be available on your system. Installation instructions are given in the README.md file within the tarball. For additional options, run `make help` in the top directory. For additional help, see the contact information section of README.md. For dif...

Python code to generate TCCON GGG2020 priors. This package requires Anaconda or Miniconda Python to be available on your system. Installation instructions are given in the README.md file within the tarball. For additional options, run `make help` in the top directory. For additional help, see the contact information section of README.md. For dif...

Python code to generate TCCON GGG2020 priors. This package requires Anaconda or Miniconda Python to be available on your system. Installation instructions are given in the README.md file within the tarball. For additional options, run `make help` in the top directory. For additional help, see the contact information section of README.md.

Python code to generate TCCON GGG2020 priors. This package requires Anaconda or Miniconda Python to be available on your system. Installation instructions are given in the README.md file within the tarball. For additional options, run `make help` in the top directory. For additional help, see the contact information section of README.md. For dif...

The GGG2020 TCCON data product relies on the Goddard GEOS product for a priori meteorological information. In particular, it was developed with the GEOS FP-IT (Forward Processing for Instrument Teams) product, as we required the longer record of FP-IT (circa 2000 on) compared to the more recent FP product (circa 2013 on). In 2023, we were inform...