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Earth Space Sci. 2021 Apr;8(4):e2020EA001343. doi: 10.1029/2020EA001343. Epub 2021 Apr 02.

An Interpolation Method to Reduce the Computational Time in the Stochastic Lagrangian Particle Dispersion Modeling of Spatially Dense XCO.

Earth and space science (Hoboken, N.J.)

Dustin Roten, Dien Wu, Benjamin Fasoli, Tomohiro Oda, John C Lin

Affiliations

  1. Department of Atmospheric Sciences University of Utah Salt Lake City UT USA.
  2. Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA USA.
  3. Goddard Earth Sciences Technology and Research Universities Space Research Association Columbia MD USA.
  4. NASA Goddard Space Flight Center Global Modeling and Assimilation Office Greenbelt MD USA.

PMID: 33869670 PMCID: PMC8047910 DOI: 10.1029/2020EA001343

Abstract

A growing constellation of satellites is providing near-global coverage of column-averaged CO

© 2021. The Authors. Earth and Space Science published by Wiley Periodicals LLC on behalf of American Geophysical Union.

Keywords: Lagrangian particle dispersion modeling; X‐STILT; interpolation; land‐atmosphere Interactions; orbiting carbon observatory; space‐based CO2 observations

References

  1. Environ Sci Technol. 2017 Jun 20;51(12):6999-7008 - PubMed
  2. Atmos Chem Phys. 2017;17: - PubMed
  3. Earth Syst Sci Data. 2018;10(1):87-107 - PubMed
  4. Environ Sci Technol. 2010 Apr 1;44(7):2497-502 - PubMed
  5. Proc Natl Acad Sci U S A. 2018 Mar 20;115(12):2912-2917 - PubMed

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