Evidence map›Paper›PMID 32637291›Full record

ArticleJournal of geophysical research. Atmospheres : JGR2019

Estimates of African Dust Deposition Along the Trans-Atlantic Transit Using the Decade-long Record of Aerosol Measurements from CALIOP, MODIS, MISR, and IASI.

Hongbin Yu, Qian Tan, Mian Chin, Lorraine A Remer, Ralph A Kahn, Huisheng Bian, Dongchul Kim, Zhibo Zhang, Tianle Yuan, Ali H Omar and 6 more

Abstract read
In one paragraph

Article in Journal of geophysical research. Atmospheres : JGR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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.

Hongbin YuEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
Qian TanBay Area Environmental Research Institute, Petaluma, California, USA.
Mian ChinEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
Lorraine A RemerJCET, University of Maryland at Baltimore County, Baltimore, Maryland, USA.
Ralph A KahnEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
Huisheng BianEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
Dongchul KimEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
Zhibo ZhangJCET, University of Maryland at Baltimore County, Baltimore, Maryland, USA.
Tianle YuanEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
Ali H OmarEarth Science Division, NASA Langley Research Center, Hampton, Virginia, USA.
David M WinkerEarth Science Division, NASA Langley Research Center, Hampton, Virginia, USA.
Robert LevyEarth Sciences Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA.
Olga KalashnikovaJet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA.
Laurent CrepeauLaboratoire deMeteorologie Dynamique, Palaiseau, France.
Virginie CapelleLaboratoire deMeteorologie Dynamique, Palaiseau, France.
Alain ChedinLaboratoire deMeteorologie Dynamique, Palaiseau, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deposition of mineral dust into ocean fertilizes ecosystems and influences biogeochemical cycles and climate. In-situ observations of dust deposition are scarce, and model simulations depend on the highly parameterized representations of dust processes with few constraints. By taking advantage of satellites' routine sampling on global and decadal scales, we estimate African dust deposition flux and loss frequency (LF, a ratio of deposition flux to mass loading) along the trans-Atlantic transit using the three-dimensional distributions of aerosol retrieved by spaceborne lidar (CALIOP) and radiometers (MODIS, MISR, and IASI). On the basis of a ten-year (2007-2016) and basin scale average, the amount of dust deposition into the tropical Atlantic Ocean is estimated at 136 - 222 Tg yr

Indexed as

aerosoldust depositionlong-range transportsatellite remote sensing

Identifiers

PMID32637291
PMCPMC7340100

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.