Published September 13, 2022 | Version 1.0
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CO2 simulations for "Remote-sensing derived trends in gross primary production explain increases in the CO2 seasonal cycle amplitude"

He, Liyin1 ORCID icon
  • 1. ROR icon California Institute of Technology
Researcher:
Liyin He ORCID icon

Citation

He, L. (2022). CO2 simulations for "Remote-sensing derived trends in gross primary production explain increases in the CO2 seasonal cycle amplitude" (1.0) [Data set]. CaltechDATA. https://doi.org/10.22002/D1.20288

Description

simulated surface CO2 concentrations (unit: ppm) from 2001 to 2018 used in paper "Remote-sensing derived trends in gross primary production explain increases in the CO2 seasonal cycle amplitude" (Article DOI: 10.1029/2021GB007220).

Files

Files (41.9 MB)
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surfaceCO2_site_simulation.nc
md5:587154a3f9a54ea631206bcde8d3cf5f
933.2 kB Download
surfaceCO2_simulation.nc
md5:6933ee4dada40de345e02ace2d7bd09b
40.9 MB Download

Other

Related Publication: Remote-sensing derived trends in gross primary production explain increases in the CO2 seasonal cycle amplitude Liyin He, Brendan Byrne, Yi Yin, Junjie Liu, Christian Frankenberg Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA, USA; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA Global Biogeochemical Cycles https://doi.org/10.1029/2021GB007220 eng

Other

Contact person: Liyin He lhe@caltech.edu

Additional details

Identifiers Related works
Created:
September 19, 2022
Modified:
October 31, 2022