Example of Monthly Weather Review format
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Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format
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Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format Example of Monthly Weather Review format
Sample paper formatted on SciSpace - SciSpace
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open access Open Access ISSN: 270644 e-ISSN: 15200493

Monthly Weather Review — Template for authors

Categories Rank Trend in last 3 yrs
Atmospheric Science #29 of 124 down down by 9 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 948 Published Papers | 5696 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 05/06/2020
Insights & related journals
General info
Top papers
Popular templates
Get started guide
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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.

3.435

9% from 2018

Impact factor for Monthly Weather Review from 2016 - 2019
Year Value
2019 3.435
2018 3.146
2017 3.247
2016 3.043
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 9% 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.

6.0

2% from 2019

CiteRatio for Monthly Weather Review from 2016 - 2020
Year Value
2020 6.0
2019 5.9
2018 5.8
2017 5.8
2016 5.8
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased 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.

1.862

18% from 2019

SJR for Monthly Weather Review from 2016 - 2020
Year Value
2020 1.862
2019 2.264
2018 2.588
2017 2.636
2016 2.663
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.

1.465

2% from 2019

SNIP for Monthly Weather Review from 2016 - 2020
Year Value
2020 1.465
2019 1.502
2018 1.318
2017 1.407
2016 1.376
graph view Graph view
table view Table view

insights Insights

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

Related Journals

open access Open Access ISSN: 19391404 e-ISSN: 21511535

IEEE

CiteRatio: 7.2 | SJR: 1.246 | SNIP: 1.579
open access Open Access ISSN: 30007 e-ISSN: 15200477
recommended Recommended

American Meteorological Society

CiteRatio: 13.5 | SJR: 3.367 | SNIP: 2.93
open access Open Access ISSN: 7390572 e-ISSN: 15200426

American Meteorological Society

CiteRatio: 4.1 | SJR: 0.774 | SNIP: 1.154
open access Open Access ISSN: 8948755 e-ISSN: 15200442
recommended Recommended

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CiteRatio: 9.8 | SJR: 3.315 | SNIP: 1.909

Monthly Weather Review

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American Meteorological Society

Monthly Weather Review

Monthly Weather Review (MWR) publishes research relevant to the analysis and prediction of observed atmospheric circulations and physics, including technique development, data assimilation, model validation, and relevant case studies. This research includes numerical and data ...... Read More

Atmospheric Science

Earth and Planetary Sciences

i
Last updated on
05 Jun 2020
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ISSN
1520-0493
i
Impact Factor
Very High - 3.043
i
Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
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

open accessOpen access Journal Article DOI: 10.1175/1520-0493(1963)091<0099:GCEWTP>2.3.CO;2
General circulation experiments with the primitive equations
01 Mar 1963 - Monthly Weather Review

Abstract:

An extended period numerical integration of a baroclinic primitive equation model has been made for the simulation and the study of the dynamics of the atmosphere's general circulation. The solution corresponding to external gravitational propagation is filtered by requiring the vertically integrated divergence to vanish iden... An extended period numerical integration of a baroclinic primitive equation model has been made for the simulation and the study of the dynamics of the atmosphere's general circulation. The solution corresponding to external gravitational propagation is filtered by requiring the vertically integrated divergence to vanish identically. The vertical structure permits as dependent variables the horizontal wind at two internal levels and a single temperature, with the static stability entering as a parameter. The incoming radiation is a function of latitude only corresponding to the annual mean, and the outgoing radiation is taken to be a function of the local temperature. With the requirement for thermal equilibrium, the domain mean temperature is specified as a parameter. The role of condensation is taken into account only as it effectively reduces the static stability. All other external sources and sinks of heat are assumed to balance each other locally, and are thus omitted. The kinematics are th... read more read less

Topics:

Primitive equations (57%)57% related to the paper, Thermal equilibrium (51%)51% related to the paper
View PDF
11,882 Citations
On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters
01 Feb 1972 - Monthly Weather Review

Abstract:

In an introductory review it is reemphasized that the large-scale parameterization of the surface fluxes of sensible and latent heat is properly expressed in terms of energetic considerations over land while formulas of the bulk aerodynamic type are most suitahle over the sea. A general framework is suggested. Data from a num... In an introductory review it is reemphasized that the large-scale parameterization of the surface fluxes of sensible and latent heat is properly expressed in terms of energetic considerations over land while formulas of the bulk aerodynamic type are most suitahle over the sea. A general framework is suggested. Data from a number of saturated land sites and open water sites in the absence of advection suggest a widely applicable formula for the relationship between sensible and latent heat fluxes. For drying land surfaces, we assume that the evaporation rate is given by the same formula for evaporation multiplied by a factor. This factor is found to remain at unity while an amount of water, varying from one site to another, is evaporated. Following this a linear decrease sets in, reducing the evaporation rate to zero after a further 5 cm of evaporation, the same at several sites examined. read more read less

Topics:

Latent heat (61%)61% related to the paper, Potential evaporation (60%)60% related to the paper, Evaporation (58%)58% related to the paper, Bowen ratio (57%)57% related to the paper, Penman equation (51%)51% related to the paper
5,380 Citations
Journal Article DOI: 10.1175/MWR3199.1
A New Vertical Diffusion Package with an Explicit Treatment of Entrainment Processes
Song-You Hong1, Yign Noh1, Jimy Dudhia2
01 Sep 2006 - Monthly Weather Review

Abstract:

This paper proposes a revised vertical diffusion package with a nonlocal turbulent mixing coefficient in the planetary boundary layer (PBL). Based on the study of Noh et al. and accumulated results of the behavior of the Hong and Pan algorithm, a revised vertical diffusion algorithm that is suitable for weather forecasting an... This paper proposes a revised vertical diffusion package with a nonlocal turbulent mixing coefficient in the planetary boundary layer (PBL). Based on the study of Noh et al. and accumulated results of the behavior of the Hong and Pan algorithm, a revised vertical diffusion algorithm that is suitable for weather forecasting and climate prediction models is developed. The major ingredient of the revision is the inclusion of an explicit treatment of entrainment processes at the top of the PBL. The new diffusion package is called the Yonsei University PBL (YSU PBL). In a one-dimensional offline test framework, the revised scheme is found to improve several features compared with the Hong and Pan implementation. The YSU PBL increases boundary layer mixing in the thermally induced free convection regime and decreases it in the mechanically induced forced convection regime, which alleviates the well-known problems in the Medium-Range Forecast (MRF) PBL. Excessive mixing in the mixed layer in the presenc... read more read less

Topics:

Planetary boundary layer (55%)55% related to the paper
View PDF
4,396 Citations
Coupling an Advanced Land Surface–Hydrology Model with the Penn State–NCAR MM5 Modeling System. Part I: Model Implementation and Sensitivity
Fei Chen1, Jimy Dudhia1
01 Apr 2001 - Monthly Weather Review

Abstract:

This paper addresses and documents a number of issues related to the implementation of an advanced land surface–hydrology model in the Penn State–NCAR fifth-generation Mesoscale Model (MM5). The concept adopted here is that the land surface model should be able to provide not only reasonable diurnal variations of surface heat... This paper addresses and documents a number of issues related to the implementation of an advanced land surface–hydrology model in the Penn State–NCAR fifth-generation Mesoscale Model (MM5). The concept adopted here is that the land surface model should be able to provide not only reasonable diurnal variations of surface heat fluxes as surface boundary conditions for coupled models, but also correct seasonal evolutions of soil moisture in the context of a long-term data assimilation system. In a similar way to that in which the modified Oregon State University land surface model (LSM) has been used in the NCEP global and regional forecast models, it is implemented in MM5 to facilitate the initialization of soil moisture. Also, 1-km resolution vegetation and soil texture maps are introduced in the coupled MM5–LSM system to help identify vegetation/water/soil characteristics at fine scales and capture the feedback of these land surface forcings. A monthly varying climatological 0.15° × 0.15° green ... read more read less

Topics:

MM5 (59%)59% related to the paper, Data assimilation (54%)54% related to the paper, Weather Research and Forecasting Model (51%)51% related to the paper
View PDF
3,793 Citations
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Monthly Weather Review format uses numbered citation style.

Automatically format and order your citations and bibliography in a click.

SciSpace allows imports from all reference managers like Mendeley, Zotero, Endnote, Google Scholar etc.

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 Monthly Weather Review 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 Monthly Weather Review citation style.

You can avail our Free Trial for 7 days. I'm sure you'll find our features very helpful. Plus, it's quite inexpensive.

Yup. You can choose the right template, copy-paste the contents from the word doc and click on auto-format. You'll have a publish-ready paper that you can download at the end.

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 Monthly Weather Review'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.

Sure. You can request any template and we'll have it up and running within a matter of 3 working days. You can find the request box in the Journal Gallery on the right sidebar under the heading, "Couldn't find the format you were looking for?".

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

Our journal submission experts are skilled in submitting papers to various international journals.

After uploading your paper on SciSpace, you would see a button to request a journal submission service for Monthly Weather Review.

Each submission service is completed within 4 - 5 working days.

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 Monthly Weather Review Endnote style, according to american-meteorological-society guidelines.

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