Example of Journal of Atmospheric and Oceanic Technology format
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Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format
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Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format Example of Journal of Atmospheric and Oceanic Technology format
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open access Open Access ISSN: 7390572 e-ISSN: 15200426

Journal of Atmospheric and Oceanic Technology — Template for authors

Categories Rank Trend in last 3 yrs
Ocean Engineering #23 of 96 down down by 15 ranks
Atmospheric Science #51 of 124 down down by 19 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 599 Published Papers | 2446 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 18/06/2020
Insights & related journals
General info
Top papers
Popular templates
Get started guide
Why choose from SciSpace
FAQ

Journal Performance & Insights

  • Impact Factor
  • CiteRatio
  • SJR
  • SNIP

Impact factor determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

1.952

12% from 2018

Impact factor for Journal of Atmospheric and Oceanic Technology from 2016 - 2019
Year Value
2019 1.952
2018 2.224
2017 2.122
2016 2.233
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 12% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

CiteRatio is a measure of average citations received per peer-reviewed paper published in the journal.

4.1

2% from 2019

CiteRatio for Journal of Atmospheric and Oceanic Technology from 2016 - 2020
Year Value
2020 4.1
2019 4.2
2018 4.2
2017 4.4
2016 4.4
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has decreased by 2% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR) measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

0.774

18% from 2019

SJR for Journal of Atmospheric and Oceanic Technology from 2016 - 2020
Year Value
2020 0.774
2019 0.94
2018 1.237
2017 1.285
2016 1.547
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 18% in last years.
  • This journal’s SJR is in the top 10 percentile category.

Source Normalized Impact per Paper (SNIP) measures actual citations received relative to citations expected for the journal's category.

1.154

4% from 2019

SNIP for Journal of Atmospheric and Oceanic Technology from 2016 - 2020
Year Value
2020 1.154
2019 1.11
2018 1.238
2017 1.251
2016 1.411
graph view Graph view
table view Table view

insights Insights

  • SNIP of this journal has increased by 4% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Related Journals

open access Open Access ISSN: 20956037 e-ISSN: 21980934

Springer

CiteRatio: 3.7 | SJR: 0.822 | SNIP: 0.838
open access Open Access ISSN: 19391404 e-ISSN: 21511535

IEEE

CiteRatio: 7.2 | SJR: 1.246 | SNIP: 1.579
open access Open Access ISSN: 15732479 e-ISSN: 17448980
recommended Recommended

Taylor and Francis

CiteRatio: 5.6 | SJR: 0.981 | SNIP: 1.662
open access Open Access ISSN: 14680874 e-ISSN: 20413149

SAGE

CiteRatio: 5.0 | SJR: 0.89 | SNIP: 1.518

Journal of Atmospheric and Oceanic Technology

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American Meteorological Society

Journal of Atmospheric and Oceanic Technology

Approved by publishing and review experts on SciSpace, this template is built as per for Journal of Atmospheric and Oceanic Technology formatting guidelines as mentioned in American Meteorological Society author instructions. The current version was created on 17 Jun 2020 and has been used by 778 authors to write and format their manuscripts to this journal.

Engineering

i
Last updated on
17 Jun 2020
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ISSN
1520-0426
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Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
Not provided
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Sherpa RoMEO Archiving Policy
Yellow faq
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
numbered
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Citation Type
Author Year
(Blonder et al. 1982)
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Bibliography Example
Blonder, G. E., M. Tinkham, and T. M. Klapwijk, 1982: Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys. Rev. B, 25 (7), 4515–4532, URL 10.1103/PhysRevB.25.4515.

Top papers written in this journal

Efficient Inverse Modeling of Barotropic Ocean Tides
Gary D. Egbert1, Svetlana Y. Erofeeva1

Abstract:

A computationally efficient relocatable system for generalized inverse (GI) modeling of barotropic ocean tides is described. The GI penalty functional is minimized using a representer method, which requires repeated solution of the forward and adjoint linearized shallow water equations (SWEs). To make representer computations... A computationally efficient relocatable system for generalized inverse (GI) modeling of barotropic ocean tides is described. The GI penalty functional is minimized using a representer method, which requires repeated solution of the forward and adjoint linearized shallow water equations (SWEs). To make representer computations efficient, the SWEs are solved in the frequency domain by factoring the coefficient matrix for a finite-difference discretization of the second-order wave equation in elevation. Once this matrix is factored representers can be calculated rapidly. By retaining the first-order SWE system (defined in terms of both elevations and currents) in the definition of the discretized GI penalty functional, complete generality in the choice of dynamical error covariances is retained. This allows rational assumptions about errors in the SWE, with soft momentum balance constraints (e.g., to account for inaccurate parameterization of dissipation), but holds mass conservation constraints. Wh... read more read less

Topics:

Discretization (52%)52% related to the paper, Shallow water equations (52%)52% related to the paper, Barotropic fluid (52%)52% related to the paper, Coefficient matrix (51%)51% related to the paper
View PDF
2,538 Citations
The Tropical Rainfall Measuring Mission (TRMM) Sensor Package
Christian D. Kummerow1, William L. Barnes1, Toshiaki Kozu, James C. Shiue1, Joanne Simpson1

Abstract:

This note is intended to serve primarily as a reference guide to users wishing to make use of the Tropical Rainfall Measuring Mission data. It covers each of the three primary rainfall instruments: the passive microwave radiometer, the precipitation radar, and the Visible and Infrared Radiometer System on board the spacecraft... This note is intended to serve primarily as a reference guide to users wishing to make use of the Tropical Rainfall Measuring Mission data. It covers each of the three primary rainfall instruments: the passive microwave radiometer, the precipitation radar, and the Visible and Infrared Radiometer System on board the spacecraft. Radiometric characteristics, scanning geometry, calibration procedures, and data products are described for each of these three sensors. read more read less

Topics:

Global Precipitation Measurement (58%)58% related to the paper, Microwave radiometer (56%)56% related to the paper, PERSIANN (52%)52% related to the paper
View PDF
2,177 Citations
open accessOpen access Journal Article DOI: 10.1175/2009JTECHA1281.1
Overview of the CALIPSO Mission and CALIOP Data Processing Algorithms

Abstract:

The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) is a two-wavelength polarization lidar that performs global profiling of aerosols and clouds in the troposphere and lower stratosphere. CALIOP is the primary instrument on the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite, w... The Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) is a two-wavelength polarization lidar that performs global profiling of aerosols and clouds in the troposphere and lower stratosphere. CALIOP is the primary instrument on the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) satellite, which has flown in formation with the NASA A-train constellation of satellites since May 2006. The global, multiyear dataset obtained from CALIOP provides a new view of the earth’s atmosphere and will lead to an improved understanding of the role of aerosols and clouds in the climate system. A suite of algorithms has been developed to identify aerosol and cloud layers and to retrieve a variety of optical and microphysical properties. CALIOP represents a significant advance over previous space lidars, and the algorithms that have been developed have many innovative aspects to take advantage of its capabilities. This paper provides a brief overview of the CALIPSO mission, the CA... read more read less

Topics:

Lidar (53%)53% related to the paper
1,520 Citations
open accessOpen access Journal Article DOI: 10.1175/1520-0426(2003)020<0159:AUGFVT>2.0.CO;2
An Unstructured Grid, Finite-Volume, Three-Dimensional, Primitive Equations Ocean Model: Application to Coastal Ocean and Estuaries
Changsheng Chen1, Hedong Liu1, Robert C. Beardsley2

Abstract:

An unstructured grid, finite-volume, three-dimensional (3D) primitive equation ocean model has been developed for the study of coastal oceanic and estuarine circulation. The model consists of momentum, continuity, temperature, salinity, and density equations and is closed physically and mathematically using the Mellor and Yam... An unstructured grid, finite-volume, three-dimensional (3D) primitive equation ocean model has been developed for the study of coastal oceanic and estuarine circulation. The model consists of momentum, continuity, temperature, salinity, and density equations and is closed physically and mathematically using the Mellor and Yamada level-2.5 turbulent closure submodel. The irregular bottom slope is represented using a s-coordinate transformation, and the horizontal grids comprise unstructured triangular cells. The finite-volume method (FVM) used in this model combines the advantages of a finite-element method (FEM) for geometric flexibility and a finite-difference method (FDM) for simple discrete computation. Currents, temperature, and salinity in the model are computed in the integral form of the equations, which provides a better representation of the conservative laws for mass, momentum, and heat in the coastal region with complex geometry. The model was applied to the Bohai Sea, a semienclosed coastal ocean, and the Satilla River, a Georgia estuary characterized by numerous tidal creeks and inlets. Compared with the results obtained from the finite-difference model (ECOM-si), the new model produces a better simulation of tidal elevations and residual currents, especially around islands and tidal creeks. Given the same initial distribution of temperature in the Bohai Sea, the FVCOM and ECOM-si models show similar distributions of temperature and stratified tidal rectified flow in the interior region away from the coast and islands, but FVCOM appears to provide a better simulation of temperature and currents around the islands, barriers, and inlets with complex topography. read more read less

Topics:

Primitive equations (54%)54% related to the paper, Unstructured grid (53%)53% related to the paper, Estuarine water circulation (52%)52% related to the paper, Finite volume method (51%)51% related to the paper
1,239 Citations
Quality Control and Flux Sampling Problems for Tower and Aircraft Data
Dean Vickers1, Larry Mahrt1

Abstract:

A series of automated tests is developed for tower and aircraft time series to identify instrumentation problems, flux sampling problems, and physically plausible but unusual situations. The automated procedures serve as a safety net for quality controlling data. A number of special flags are developed representing a variety ... A series of automated tests is developed for tower and aircraft time series to identify instrumentation problems, flux sampling problems, and physically plausible but unusual situations. The automated procedures serve as a safety net for quality controlling data. A number of special flags are developed representing a variety of potential problems such as inconsistencies between different tower levels and the flux error due to fluctuations of aircraft height. The tests are implemented by specifying critical values for parameters representing each specific error. The critical values are developed empirically from experience of applying the tests to real turbulent time series. When these values are exceeded, the record is flagged for further inspection and comparison with the rest of the concurrent data. The inspection step is necessary to either verify an instrumentation problem or identify physically plausible behavior. The set of tests is applied to tower data from the Riso Air Sea Experiment and... read more read less

Topics:

Sampling (statistics) (50%)50% related to the paper
View PDF
1,161 Citations
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Journal of Atmospheric and Oceanic Technology format uses numbered citation style.

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Frequently asked questions

Absolutely not! With our tool, you can freely write without having to focus on LaTeX. You can write your entire paper as per the Journal of Atmospheric and Oceanic Technology guidelines and autoformat it.

Yes. The template is fully compliant as per the guidelines of this journal. Our experts at SciSpace ensure that. Also, if there's any update in the journal format guidelines, we take care of it and include that in our algorithm.

Sure. We support all the top citation styles like APA style, MLA style, Vancouver style, Harvard style, Chicago style, etc. For example, in case of this journal, when you write your paper and hit autoformat, it will automatically update your article as per the Journal of Atmospheric and Oceanic Technology citation style.

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A matter of seconds. Besides that, our intuitive editor saves a load of your time in writing and formating your manuscript.

One little Google search can get you the Word template for any journal. However, why do you need a Word template when you can write your entire manuscript on SciSpace, autoformat it as per Journal of Atmospheric and Oceanic Technology's guidelines and download the same in Word, PDF and LaTeX formats? Try us out!.

Absolutely! You can do it using our intuitive editor. It's very easy. If you need help, you can always contact our support team.

SciSpace is an online tool for now. We'll soon release a desktop version. You can also request (or upvote) any feature that you think might be helpful for you and the research community in the feature request section once you sign-up with us.

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After you have written and autoformatted your paper, you can download it in multiple formats, viz., PDF, Docx and LaTeX.

To be honest, the answer is NO. The impact factor is one of the many elements that determine the quality of a journal. Few of those factors the review board, rejection rates, frequency of inclusion in indexes, Eigenfactor, etc. You must assess all the factors and then take the final call.

SHERPA/RoMEO Database

We have extracted this data from Sherpa Romeo to help our researchers understand the access level of this journal. The following table indicates the level of access a journal has as per Sherpa Romeo Archiving Policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

The 5 most common citation types in order of usage are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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Yes. SciSpace provides this functionality.

After signing up, you would need to import your existing references from Word or .bib file.

SciSpace would allow download of your references in Journal of Atmospheric and Oceanic Technology Endnote style, according to american-meteorological-society guidelines.

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