Evidence map›Paper›PMID 35864944›Full record

ArticleJournal of advances in modeling earth systems2022

NASA GEOS Composition Forecast Modeling System GEOS-CF v1.0: Stratospheric Composition.

K E Knowland, C A Keller, P A Wales, K Wargan, L Coy, M S Johnson, J Liu, R A Lucchesi, S D Eastham, E Fleming and 6 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of advances in modeling earth systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
6.1field-weighted citation impact, top 2% of its field
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

2 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. 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 at 7 institutions in 2 countries.

K E KnowlandUniversities Space Research Association (USRA)/GESTAR Columbia MD USA.ORCID https://orcid.org/0000-0003-0837-8502
C A KellerUniversities Space Research Association (USRA)/GESTAR Columbia MD USA.ORCID https://orcid.org/0000-0002-0552-4298
P A WalesUniversities Space Research Association (USRA)/GESTAR Columbia MD USA.ORCID https://orcid.org/0000-0002-6445-9254
K WarganNASA Goddard Space Flight Center (GSFC) Global Modeling and Assimilation Office (GMAO) Greenbelt MD USA.ORCID https://orcid.org/0000-0002-3795-2983
L CoyNASA Goddard Space Flight Center (GSFC) Global Modeling and Assimilation Office (GMAO) Greenbelt MD USA.ORCID https://orcid.org/0000-0002-0414-0882
M S JohnsonEarth Science Division NASA Ames Research Center Moffett Field CA USA.ORCID https://orcid.org/0000-0002-6010-7497
J LiuUniversities Space Research Association (USRA)/GESTAR Columbia MD USA.ORCID https://orcid.org/0000-0003-4419-9157
R A LucchesiNASA Goddard Space Flight Center (GSFC) Global Modeling and Assimilation Office (GMAO) Greenbelt MD USA.
S D EasthamLaboratory for Aviation and the Environment Department of Aeronautics and Astronautics Massachusetts Institute of Technology Cambridge MA USA.ORCID https://orcid.org/0000-0002-2476-4801
E FlemingScience Systems and Applications (SSAI), Inc. Lanham MD USA.ORCID https://orcid.org/0000-0003-0880-0232
Q LiangAtmospheric Chemistry and Dynamics Laboratory NASA GSFC Greenbelt MD USA.ORCID https://orcid.org/0000-0002-8430-0515
T LeblancJet Propulsion Laboratory California Institute of Technology Wrightwood CA USA.
N J LiveseyJet Propulsion Laboratory California Institute of Technology Pasadena CA USA.ORCID https://orcid.org/0000-0001-8753-9153
K A WalkerDepartment of Physics University of Toronto Toronto ON Canada.ORCID https://orcid.org/0000-0003-3420-9454
L E OttNASA Goddard Space Flight Center (GSFC) Global Modeling and Assimilation Office (GMAO) Greenbelt MD USA.ORCID https://orcid.org/0000-0002-0035-9625
S PawsonNASA Goddard Space Flight Center (GSFC) Global Modeling and Assimilation Office (GMAO) Greenbelt MD USA.ORCID https://orcid.org/0000-0003-0200-717X
Goddard Space Flight Center · USJet Propulsion Laboratory · USAmerican Institute of Aeronautics and Astronautics · USAmes Research Center · USScience Systems and Applications (United States) · USUniversities Space Research Association · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The NASA Goddard Earth Observing System (GEOS) Composition Forecast (GEOS-CF) provides recent estimates and 5-day forecasts of atmospheric composition to the public in near-real time. To do this, the GEOS Earth system model is coupled with the GEOS-Chem tropospheric-stratospheric unified chemistry extension (UCX) to represent composition from the surface to the top of the GEOS atmosphere (0.01 hPa). The GEOS-CF system is described, including updates made to the GEOS-Chem UCX mechanism within GEOS-CF for improved representation of stratospheric chemistry. Comparisons are made against balloon, lidar, and satellite observations for stratospheric composition, including measurements of ozone (O

Indexed as

atmospheric chemistryGEOSglobal modelingnear real‐time forecastingozonestratosphere

Identifiers

PMID35864944
PMCPMC9287101
OpenAlexW4226129163

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.