Evidence map›Paper›PMID 35081307›Full record

ArticleEnvironmental science & technology2022

Improving Estimates of Sulfur, Nitrogen, and Ozone Total Deposition through Multi-Model and Measurement-Model Fusion Approaches.

Joshua S Fu, Gregory R Carmichael, Frank Dentener, Wenche Aas, Camilla Andersson, Leonard A Barrie, Amanda Cole, Corinne Galy-Lacaux, Jeffrey Geddes, Syuichi Itahashi and 6 more

Abstract read
In one paragraph

Article in Environmental science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Joshua S FuDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, Tennessee 37996, United States.ORCID 0000-0001-5464-9225
Gregory R CarmichaelCenter for Global and Regional Environmental Research, University of Iowa, Iowa City, Iowa 52242, United States.
Frank DentenerEuropean Commission, Joint Research Centre, 21027 Ispra VA Italy.
Wenche AasNILU - Norwegian Institute for Air Research, 2007 Kjeller, Norway.
Camilla AnderssonSwedish Meteorological and Hydrological Institute, SE-601 76 Norrköping, Sweden.
Leonard A BarrieDepartment of Atmosphere and Ocean Science, McGill University, Montreal, Quebec H3A 0B9, Canada.
Amanda ColeAir Quality Research Division, Science and Technology Branch, Environment and Climate Change Canada, Toronto, Ontario M3H 5T4, Canada.
Corinne Galy-LacauxLaboratoire d'Aérologie, Université de Toulouse, CNRS, UPS, 31400 Toulouse, France.
Jeffrey GeddesDepartment of Earth & Environment, Boston University, Boston, Massachusetts 02215, United States.
Syuichi ItahashiEnvironmental Science Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Chiba 270-1194, Japan.ORCID 0000-0001-7567-7831
Maria KanakidouEnvironmental Chemical Processes laboratory, Department of Chemistry, University of Crete, 70013 Heraklion - Crete Greece.
Lorenzo LabradorGlobal Atmosphere Watch Programme, Science and Innovation Department, World Meteorological Organization, Case postale 2300, CH-1211 Geneva 2, Switzerland.
Fabien PaulotNOAA Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey 08540, United States.
Donna SchwedeCenter for Environmental Measurement and Modeling, Office of Research and Development, U.S. Environmental Protection Agency, Research Triangle Park, North Calonia 27709, United States.
Jiani TanDepartment of Civil and Environmental Engineering, University of Tennessee, Knoxville, Tennessee 37996, United States.
Robert VetUnaffiliated, Markham, Ontario L3R 1P5, Canada.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Earth system and environmental impact studies need high quality and up-to-date estimates of atmospheric deposition. This study demonstrates the methodological benefits of multimodel ensemble and measurement-model fusion mapping approaches for atmospheric deposition focusing on 2010, a year for which several studies were conducted. Global model-only deposition assessment can be further improved by integrating new model-measurement techniques, including expanded capabilities of satellite observations of atmospheric composition. We identify research and implementation priorities for timely estimates of deposition globally as implemented by the World Meteorological Organization.

Indexed as

Air PollutantsOzoneEnvironmental MonitoringNitrogenSulfurAir PollutantsNitrogenOzoneSulfuratmospheric depositionearth-system modelingmodel-measurement fusionmultimodel ensemble

Identifiers

PMID35081307
PMCPMC8962501

What OpenQuestion holds

Textmetadata
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.