From c3a00820dc7de239bf0f71c32d1488be16e1a260 Mon Sep 17 00:00:00 2001 From: vkantchev Date: Mon, 5 Feb 2024 19:36:22 -0800 Subject: [PATCH] TROPESS-Notes book is now at https://tropess-notes.swiftearthscience.org --- README.md | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index ba91493..995afcb 100644 --- a/README.md +++ b/README.md @@ -16,18 +16,18 @@ Tutorials are a work in progress, and will range from any of the following featu | Study 2023 Canadian Wildfires using TROPESS CrIS JPSS-1 Carbon Monoxide (CO) data products | A Jupyter Notebook coded in Python which reads TROPESS CrIS JPSS-1 CO data products for June 2023 and June 2022 and makes a monthly averaged data product and plots and compare them. | **[Notebook](https://github.com/NASA-TROPESS/tutorials_notebooks/blob/main/study-2023-canadian-wildfire-effect.ipynb)** | Data plotting/analysis/visualization | | | Study 2023 Canadian Wildfires using TROPESS CrIS JPSS-1 Carbon Monoxide (CO) data products - **Integrated Data Download** | A Jupyter Notebook coded in Python which reads TROPESS CrIS JPSS-1 CO data products for June 2023 and June 2022 and makes a monthly averaged data product and plots and compare them with fully integrated download of the input data files. | **[Notebook](https://github.com/NASA-TROPESS/tutorials_notebooks/blob/main/study-2023-canadian-wildfire-effect-integrated_data_download.ipynb)** | Data access/subset/extraction/plotting/analysis/visualization | | | Study 2023 Canadian Wildfires using TROPESS CrIS JPSS-1 Carbon Monoxide (CO) data products - **Direct S3 (Cloud) Access** | A Jupyter Notebook coded in Python which reads TROPESS CrIS JPSS-1 CO data products for June 2023 and June 2022 directly from S3 on NASA Earthdata Cloud and makes a monthly averaged data product and plots and compare them. | **[Notebook](https://github.com/NASA-TROPESS/tutorials_notebooks/blob/main/study-2023-canadian-wildfire-effect-integrated_s3access.ipynb)** | Data access/subset/extraction/plotting/analysis/visualization/direct s3 (cloud) access/cloud-based operation | | -| Canadian Fires - Carbon Monoxide (CO) - CrIS JPSS-1 | A Jupyter Notebook coded in Python which produces 14x14 km gridded map plots of the Carbon Monoxide (CO) total column for each day from 01-Jun-2023 to 08-Jun-2023. | **[Notebook](https://swiftsoftwaregroup.github.io/tropess-notes/canadian-fires-gridded-plot-carbon-monoxide-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Bash Script for Data Download for Canadian Fires - Carbon Monoxide (CO) - CrIS JPSS-1 | Bash script tutorial provides data download for the period from 01-Jun-2023 to 08-Jun-2023. | **[Tutorial/Script](https://swiftsoftwaregroup.github.io/tropess-notes/canadian-fires-download-data/)** | Data search/access/extraction | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Brazilian Fires - Ammonia (NH3) - CrIS JPSS-1 | A Jupyter Notebook coded in Python which produces 14x14 km gridded map plots of the Ammonia (NH3) total column for each day from from 01-Aug-2022 to 31-Aug-2022. | **[Notebook](https://swiftsoftwaregroup.github.io/tropess-notes/brazilian-fires-gridded-plot-ammonia-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Brazilian Fires - Carbon Monoxide (CO) - CrIS JPSS-1 | A Jupyter Notebook coded in Python which produces 14x14 km gridded map plots of the Carbon Monoxide (CO) total column for each day from from 01-Aug-2022 to 31-Aug-2022. | **[Notebook](https://swiftsoftwaregroup.github.io/tropess-notes/brazilian-fires-gridded-plot-carbon-monoxide-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Brazilian Fires - PeroxyAcetyl Nitrate (PAN) - CrIS JPSS-1 | A Jupyter Notebook coded in Python which produces 14x14 km gridded map plots of the PeroxyAcetyl Nitrate (PAN) free tropospheric column for each day from from 01-Aug-2022 to 31-Aug-2022. | **[Notebook](https://swiftsoftwaregroup.github.io/tropess-notes/brazilian-fires-gridded-plot-peroxyacetyl-nitrate-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Bash Script for Data Download for Brazilian Fires - NH3/CO/PAN - CrIS JPSS-1 | Bash script tutorial provides data download for the period from 01-Aug-2022 to 31-Aug-2022. | **[Tutorial/Script](https://swiftsoftwaregroup.github.io/tropess-notes/brazilian-fires-download-data/)** | Data search/access/extraction | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Methane (CH4) Partial Column - Scatter Plot | A Jupyter Notebook coded in Python which produces a scatter plot of the Methane (CH4) Partial Column retrieved from the Cross-track Infrared Sounder (CrIS JPSS-1) global observations. | **[Notebook](https://swiftsoftwaregroup.github.io/tropess-notes/quick-start-scatter-plot-methane-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Methane (CH4) Partial Column - Gridded Plot (1° x 1°) | A Jupyter Notebook coded in Python which produces a 1° x 1° gridded mapped plot of the Methane (CH4) partial column retrieved from the Cross-track Infrared Sounder (CrIS JPSS-1) global observations. | **[Notebook](https://swiftsoftwaregroup.github.io/tropess-notes/quick-start-gridded-plot-methane-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Methane (CH4) Profiles - Scatter Plots | A Jupyter Notebook coded in Python which produces scatter plots at different pressure levels of Methane (CH4) retrieved from the Cross-track Infrared Sounder (CrIS JPSS-1) global observations. | **[Notebook](https://swiftsoftwaregroup.github.io/tropess-notes/quick-start-scatter-plot-methane-profile/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Carbon Monoxide Column (XCO) | A Jupyter Notebook coded in Python which column variable x_col a.k.a. XCO, in ppbv. The XCO is a pre-calculated vertically averaged dry air mixing ratio of carbon monoxide from the surface to Top of Atmosphere (TOA). CO concentrations are retrieved from CrIS JPSS-1 global observations. | **[Notebook](https://swiftsoftwaregroup.github.io/tropess-notes/data-analysis-carbon-monoxide-plot-column-xvmr/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Bash Script for Data Download for Methane (CH4) from CrIS JPSS-1 | Bash script tutorial provides data download for CH4 retrievals on 16-May-2023. | **[Tutorial/Script](https://swiftsoftwaregroup.github.io/tropess-notes/quick-start-download-data/)** | Data search/access/extraction | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | -| Running in Google Colab | Google Colaboratory (Colab) is an alternate cloud-based environment to run Jupyter notebooks, with lots of additional features, like GPUs, storage in Github or Google Drive, and access to Google Cloud. | **[Tutorial/Script](https://swiftsoftwaregroup.github.io/tropess-notes/how-to-run-google-colab/)** | cloud-based operation | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Canadian Fires - Carbon Monoxide (CO) - CrIS JPSS-1 | A Jupyter Notebook coded in Python which produces 14x14 km gridded map plots of the Carbon Monoxide (CO) total column for each day from 01-Jun-2023 to 08-Jun-2023. | **[Notebook](https://tropess-notes.swiftearthscience.org/canadian-fires-gridded-plot-carbon-monoxide-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Bash Script for Data Download for Canadian Fires - Carbon Monoxide (CO) - CrIS JPSS-1 | Bash script tutorial provides data download for the period from 01-Jun-2023 to 08-Jun-2023. | **[Tutorial/Script](https://tropess-notes.swiftearthscience.org/canadian-fires-download-data/)** | Data search/access/extraction | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Brazilian Fires - Ammonia (NH3) - CrIS JPSS-1 | A Jupyter Notebook coded in Python which produces 14x14 km gridded map plots of the Ammonia (NH3) total column for each day from from 01-Aug-2022 to 31-Aug-2022. | **[Notebook](https://tropess-notes.swiftearthscience.org/brazilian-fires-gridded-plot-ammonia-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Brazilian Fires - Carbon Monoxide (CO) - CrIS JPSS-1 | A Jupyter Notebook coded in Python which produces 14x14 km gridded map plots of the Carbon Monoxide (CO) total column for each day from from 01-Aug-2022 to 31-Aug-2022. | **[Notebook](https://tropess-notes.swiftearthscience.org/brazilian-fires-gridded-plot-carbon-monoxide-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Brazilian Fires - PeroxyAcetyl Nitrate (PAN) - CrIS JPSS-1 | A Jupyter Notebook coded in Python which produces 14x14 km gridded map plots of the PeroxyAcetyl Nitrate (PAN) free tropospheric column for each day from from 01-Aug-2022 to 31-Aug-2022. | **[Notebook](https://tropess-notes.swiftearthscience.org/brazilian-fires-gridded-plot-peroxyacetyl-nitrate-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Bash Script for Data Download for Brazilian Fires - NH3/CO/PAN - CrIS JPSS-1 | Bash script tutorial provides data download for the period from 01-Aug-2022 to 31-Aug-2022. | **[Tutorial/Script](https://tropess-notes.swiftearthscience.org/brazilian-fires-download-data/)** | Data search/access/extraction | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Methane (CH4) Partial Column - Scatter Plot | A Jupyter Notebook coded in Python which produces a scatter plot of the Methane (CH4) Partial Column retrieved from the Cross-track Infrared Sounder (CrIS JPSS-1) global observations. | **[Notebook](https://tropess-notes.swiftearthscience.org/quick-start-scatter-plot-methane-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Methane (CH4) Partial Column - Gridded Plot (1° x 1°) | A Jupyter Notebook coded in Python which produces a 1° x 1° gridded mapped plot of the Methane (CH4) partial column retrieved from the Cross-track Infrared Sounder (CrIS JPSS-1) global observations. | **[Notebook](https://tropess-notes.swiftearthscience.org/quick-start-gridded-plot-methane-column/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Methane (CH4) Profiles - Scatter Plots | A Jupyter Notebook coded in Python which produces scatter plots at different pressure levels of Methane (CH4) retrieved from the Cross-track Infrared Sounder (CrIS JPSS-1) global observations. | **[Notebook](https://tropess-notes.swiftearthscience.org/quick-start-scatter-plot-methane-profile/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Carbon Monoxide Column (XCO) | A Jupyter Notebook coded in Python which column variable x_col a.k.a. XCO, in ppbv. The XCO is a pre-calculated vertically averaged dry air mixing ratio of carbon monoxide from the surface to Top of Atmosphere (TOA). CO concentrations are retrieved from CrIS JPSS-1 global observations. | **[Notebook](https://tropess-notes.swiftearthscience.org/data-analysis-carbon-monoxide-plot-column-xvmr/)** | Data plotting/analysis/visualization | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Bash Script for Data Download for Methane (CH4) from CrIS JPSS-1 | Bash script tutorial provides data download for CH4 retrievals on 16-May-2023. | **[Tutorial/Script](https://tropess-notes.swiftearthscience.org/quick-start-download-data/)** | Data search/access/extraction | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | +| Running in Google Colab | Google Colaboratory (Colab) is an alternate cloud-based environment to run Jupyter notebooks, with lots of additional features, like GPUs, storage in Github or Google Drive, and access to Google Cloud. | **[Tutorial/Script](https://tropess-notes.swiftearthscience.org/how-to-run-google-colab/)** | cloud-based operation | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | | Homepage for TROPESS Tutorials and Notebooks from Swift Software Group | Assorted Jupyter notebooks for TROPESS data access and analysis. | **[Notebooks/Tutorials](https://github.com/swiftsoftwaregroup/tropess-notes)** | Data access/subset/extraction/plotting/analysis/cloud-based operation | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | | Python-based Repository for TROPESS Tutorials and Notebooks from Swift Software Group | Assorted Jupyter notebooks for TROPESS data access and analysis. | **[Notebooks/Tutorials](https://github.com/swiftsoftwaregroup/tropess-notes-python)** | Data access/extraction/plotting/analysis/cloud-based operation | **[10.5281/zenodo.8031285](https://doi.org/10.5281/zenodo.8031285)** | | GES DISC Tutorials | GitHub Repo with Jupyter Notebooks and Tutorials | **[External Tutorials and Notebooks](https://github.com/nasa/gesdisc-tutorials)** | Data search/discovery/access/subset/extraction/plotting/analysis/visualization | |