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GML Dataset
Nitrous Oxide surface PFP Flask measurements at Mt. Wilson Observatory, United States
| Site | Category | Parameter | Type | Frequency | Year |
|---|---|---|---|---|---|
|
Mt. Wilson Observatory, United States (MWO) N2O measurements from surface air samples collected in glass flasks at Mt. Wilson Observatory, United States. |
Greenhouse Gases | Nitrous Oxide (N2O) |
Surface PFP | Discrete | Multiple |
Download Data File Format: TextFile Size: 804 kB
Download Data File Format: NetCDF4File Size: 373 kB
Dataset Tutorial
This tutorial will walk you through how to work with atmospheric trace gas data using Python in an interactive Jupyter Notebook. The tutorial uses CO2 collected at the Mauna Loa Observatory in Hawaii, but the techniques and strategies will work with most trace gas datasets available from NOAA.
The README provides instructions for installation of a Python environment. The Jupyter Notebook provides a detailed guide for interactive data exploration, filtering and visualization. The PDF version is a printable static output of this guide you can save for reference.
Whether you're new to Python, atmospheric science, or data analysis, this guide is designed to help you get started step-by-step.
Tutorial README Interactive Jupyter Notebook PDF Tutorial
Dataset updated
Aug 23, 2023
Time period covered
2010-04-30 - 2022-12-31
Citation
Andrews, A., Crotwell, A., Crotwell, M., Handley, P., Higgs, J., Kofler, J., Lan, X., Legard, T., Madronich, M., McKain, K., Miller, J., Moglia, E., Mund, J., Neff, D., Newberger, T., Petron, G., Turnbull, J., Vimont, I., Wolter, S., & NOAA Global Monitoring Laboratory. (2023). NOAA Global Greenhouse Gas Reference Network Flask-Air PFP Sample Measurements of N2O at Tall Tower and other Continental Sites, 2005-Present [Data set]. NOAA GML. https://doi.org/10.15138/C11N-KD82 Version: 2023-08-23.
Location
License
This dataset was produced by NOAA and is not subject to copyright protection in the United States. NOAA waives any potential copyright and related rights in these data worldwide through the Creative Commons Zero v1.0 Universal Public Domain Dedication (CC0 1.0)
Fair Use Policy
These data are made freely available to the public and the scientific community in the belief that their wide dissemination will lead to greater understanding and new scientific insights. To ensure that GML receives fair credit for their work please include relevant citation text in publications. We encourage users to contact the data providers, who can provide detailed information about the measurements and scientific insight. In cases where the data are central to a publication, coauthorship for data providers may be appropriate.