Giters

tnp38 / Airborne_CO2

R tutorial for visualizing airborne, in-situ CO2 from netCDF

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Visualizing airborne in-situ CO2 geotrajectory data from NetCDF using R

Presented at 2022 Ecological Society of America workshop: Exploring changes in vulnerable ecosystems with NASA data

Author: ORNL DAAC
Date: August 16, 2022
Contact for ORNL DAAC: uso@daac.ornl.gov

Keywords: R, geotrajectory, airborne platform, CO2, NetCDF

1. Overview

This repository holds an exercise to demonstrate how to visiualize airborne geotrajectory information saved in a NetCDF file and how to subset the dataset for further analysis. The excercise uses the open-source software R. The procedure is available as a R Markdown document for use with RStudio, in standard Markdown format, and as a PDF.

2. Dataset

2.1 ABoVE: Atmospheric Profiles of CO, CO2 and CH4 Concentrations from Arctic-CAP, 2017

This exercise will use data from ABoVE_2017_insitu_10sec.nc, a file downloaded from Sweeney and McKain (2019). The dataset includes measurements of carbon dioxide (CO2), methane (CH4), and carbon monoxide (CO) concentrations taken during flights over Alaska, Canada, and the continental U.S. in 2017. During the flights, air samples were collected and analyzed using on-board instrumentation. Each data point is a time-stamped measurement taken in 3-dimensional space (longtitude, latitude, altitude). During 2017, the flight lines were repeated several times between April to November, with some spatial variability, in order to sample sample carbon dynamics over northern biomes during the growing season.

Please review the The User Guide for this dataset before starting the exercise. This guide contains important information on the organization of the dataset and variables. It will be helpful to have the User Guide open for quick reference.

Sweeney, C., and K. McKain. 2019. ABoVE: Atmospheric Profiles of CO, CO2 and CH4 Concentrations from Arctic-CAP, 2017. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1658

2.2 Arctic-Boreal Vulnerability Experiment (ABoVE) project

The Arctic-Boreal Vulnerability Experiment (ABoVE) is a NASA Terrestrial Ecology Program field campaign based in Alaska and western Canada between 2016 and 2021. Research for ABoVE links field-based, process-level studies with geospatial data products derived from airborne and satellite sensors, providing a foundation for improving the analysis and modeling capabilities needed to understand and predict ecosystem responses and societal implications.

3. Prerequisites

Participants should have a basic understanding of R and some exposure to geospatial data and analysis.

3.1 R

  1. Download R
  2. Download RStudio - Required for R Markdown; optional for Markdown version
  3. These R packages must be installed: ggplot2, lubridate, OpenStreetMap, RNetCDF, scales, sp, tmap, and tmaptools. Code for installing these packages is included.

3.2 Data

  1. Sign in to NASA Earthdata. New users must set up an account in order to download data.
  2. Download ABoVE_2017_insitu_10sec.nc

4. Procedure

4.1 Tutorial exercise

  1. R Markdown
  2. Markdown
  3. PDF

4.2 Additional resources

For users new to NetCDFs, these resources may be useful.

5. Credits

  • Klausner, T., M. Mertens, H. Huntrieser, M. Galkowski, G. Kuhlmann, R. Baumann, A. Fiehn, P. Jöckel, M. Pühl, A. Roiger. 2020. Urban greenhouse gas emissions from the Berlin area: A case study using airborne CO2 and CH4 in situ observations in summer 2018. Elementa: Science of the Anthropocene 8:15. https://doi.org/10.1525/elementa.411
  • Krings, T., B. Neininger, K. Gerilowski, S. Krautwurst, M. Buchwitz, J.P. Burrows, C. Lindemann, T. Ruhtz, D. Schüttemeyer, and H. Bovensmann. 2018. Airborne remote sensing and in situ measurements of atmospheric CO2 to quantify point source emissions. Atmospheric Measurement Techniques 11:721–739. https://doi.org/10.5194/amt-11-721-2018
  • Parazoo, N.C., R. Commane, S. Wofsy, C.D. Koven, C. Sweeney, D.M. Lawrence, J. Lindaas, R. Y.-W. Chang, and C.E. Miller. 2016. Detecting Regional Patterns of Changing CO2 Flux in Alaska. PNAS 113:7733-7738. https://doi.org/10.1073/pnas.1601085113
  • R - ver 4.2.1 (2022-08-02) -- "Funny-Looking Kid"
  • RStudio - IDE and notebook construction
  • Sweeney, C., and K. McKain. 2019. ABoVE: Atmospheric Profiles of CO, CO2 and CH4 Concentrations from Arctic-CAP, 2017. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1658

About

R tutorial for visualizing airborne, in-situ CO2 from netCDF

License:Other