Evidence map›Paper›PMID 34221240›Full record

ArticleJournal of advances in modeling earth systems2021

Description of the NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0.

Christoph A Keller, K Emma Knowland, Bryan N Duncan, Junhua Liu, Daniel C Anderson, Sampa Das, Robert A Lucchesi, Elizabeth W Lundgren, Julie M Nicely, Eric Nielsen and 6 more

Abstract read
In one paragraph

Article in Journal of advances in modeling earth systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed.

  1. Article
  2. Article
  3. High-resolution geostationary satellite observations of free tropospheric NOProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Comprehensive Analysis of Bias in TEMPO NOJournal of geophysical research. Atmospheres : JGR · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Risk communication, respiratory health risks, and air pollution forecasting in the city of Rio de Janeiro, Brazil.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2025
    Article
  9. Article
  10. Article
  11. Quantifying NOACS ES&T air · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Christoph A KellerNASA Goddard Space Flight Center Greenbelt MD USA.ORCID https://orcid.org/0000-0002-0552-4298
K Emma KnowlandNASA Goddard Space Flight Center Greenbelt MD USA.ORCID https://orcid.org/0000-0003-0837-8502
Bryan N DuncanNASA Goddard Space Flight Center Greenbelt MD USA.ORCID https://orcid.org/0000-0002-1123-2275
Junhua LiuNASA Goddard Space Flight Center Greenbelt MD USA.
Daniel C AndersonNASA Goddard Space Flight Center Greenbelt MD USA.
Sampa DasNASA Goddard Space Flight Center Greenbelt MD USA.
Robert A LucchesiNASA Goddard Space Flight Center Greenbelt MD USA.
Elizabeth W LundgrenSchool of Engineering and Applied Sciences Harvard University Cambridge MA USA.
Julie M NicelyNASA Goddard Space Flight Center Greenbelt MD USA.ORCID https://orcid.org/0000-0003-4828-0032
Eric NielsenNASA Goddard Space Flight Center Greenbelt MD USA.ORCID https://orcid.org/0000-0003-4585-4192
Lesley E OttNASA Goddard Space Flight Center Greenbelt MD USA.
Emily SaundersNASA Goddard Space Flight Center Greenbelt MD USA.
Sarah A StrodeNASA Goddard Space Flight Center Greenbelt MD USA.ORCID https://orcid.org/0000-0002-8103-1663
Pamela A WalesNASA Goddard Space Flight Center Greenbelt MD USA.ORCID https://orcid.org/0000-0002-6445-9254
Daniel J JacobSchool of Engineering and Applied Sciences Harvard University Cambridge MA USA.
Steven PawsonNASA Goddard Space Flight Center Greenbelt MD USA.ORCID https://orcid.org/0000-0003-0200-717X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Goddard Earth Observing System composition forecast (GEOS-CF) system is a high-resolution (0.25°) global constituent prediction system from NASA's Global Modeling and Assimilation Office (GMAO). GEOS-CF offers a new tool for atmospheric chemistry research, with the goal to supplement NASA's broad range of space-based and in-situ observations. GEOS-CF expands on the GEOS weather and aerosol modeling system by introducing the GEOS-Chem chemistry module to provide hindcasts and 5-days forecasts of atmospheric constituents including ozone (O

Indexed as

air pollutionatmospheric chemistryglobal modelingreal‐time forecasting

Identifiers

PMID34221240
PMCPMC8244029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.