Example of Weather and Forecasting format
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Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format Example of Weather and Forecasting format
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open access Open Access

Weather and Forecasting — Template for authors

Categories Rank Trend in last 3 yrs
Atmospheric Science #42 of 124 down down by 1 rank
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 458 Published Papers | 2212 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 13/07/2020
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Related Journals

open access Open Access

IEEE

Quality:  
High
CiteRatio: 7.2
SJR: 1.246
SNIP: 1.579
open access Open Access
recommended Recommended

American Meteorological Society

Quality:  
High
CiteRatio: 13.5
SJR: 3.367
SNIP: 2.93
open access Open Access

American Meteorological Society

Quality:  
High
CiteRatio: 4.1
SJR: 0.774
SNIP: 1.154
open access Open Access
recommended Recommended

American Meteorological Society

Quality:  
High
CiteRatio: 9.8
SJR: 3.315
SNIP: 1.909

Journal Performance & Insights

Impact Factor

CiteRatio

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.

A measure of average citations received per peer-reviewed paper published in the journal.

2.95

29% from 2018

Impact factor for Weather and Forecasting from 2016 - 2019
Year Value
2019 2.95
2018 2.288
2017 2.276
2016 1.718
graph view Graph view
table view Table view

4.8

9% from 2019

CiteRatio for Weather and Forecasting from 2016 - 2020
Year Value
2020 4.8
2019 4.4
2018 4.1
2017 3.6
2016 3.7
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 29% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 9% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.393

20% from 2019

SJR for Weather and Forecasting from 2016 - 2020
Year Value
2020 1.393
2019 1.734
2018 1.744
2017 1.684
2016 1.588
graph view Graph view
table view Table view

1.301

2% from 2019

SNIP for Weather and Forecasting from 2016 - 2020
Year Value
2020 1.301
2019 1.322
2018 1.065
2017 1.041
2016 1.146
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 20% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

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

Weather and Forecasting

Guideline source: View

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American Meteorological Society

Weather and Forecasting

Research on forecasting and analysis techniques, forecast verification studies, and case studies useful to forecasters. This includes submissions that report on changes to the suite of operational numerical models and statistical postprocessing techniques, demonstrate the tran...... Read More

Atmospheric Science

Earth and Planetary Sciences

i
Last updated on
13 Jul 2020
i
ISSN
0882-8156
i
Impact Factor
High - 1.066
i
Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
numbered
i
Citation Type
Author Year
(Blonder et al. 1982)
i
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: 10.1175/1520-0434(2000)015<0559:DOTCRP>2.0.CO;2
Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
Hans Hersbach1
01 Oct 2000 - Weather and Forecasting

Abstract:

Some time ago, the continuous ranked probability score (CRPS) was proposed as a new verification tool for (probabilistic) forecast systems. Its focus is on the entire permissible range of a certain (weather) parameter. The CRPS can be seen as a ranked probability score with an infinite number of classes, each of zero width. A... Some time ago, the continuous ranked probability score (CRPS) was proposed as a new verification tool for (probabilistic) forecast systems. Its focus is on the entire permissible range of a certain (weather) parameter. The CRPS can be seen as a ranked probability score with an infinite number of classes, each of zero width. Alternatively, it can be interpreted as the integral of the Brier score over all possible threshold values for the parameter under consideration. For a deterministic forecast system the CRPS reduces to the mean absolute error. In this paper it is shown that for an ensemble prediction system the CRPS can be decomposed into a reliability part and a resolution/uncertainty part, in a way that is similar to the decomposition of the Brier score. The reliability part of the CRPS is closely connected to the rank histogram of the ensemble, while the resolution/ uncertainty part can be related to the average spread within the ensemble and the behavior of its outliers. The usefulness of such a decomposition is illustrated for the ensemble prediction system running at the European Centre for Medium-Range Weather Forecasts. The evaluation of the CRPS and its decomposition proposed in this paper can be extended to systems issuing continuous probability forecasts, by realizing that these can be interpreted as the limit of ensemble forecasts with an infinite number of members. read more read less

Topics:

Ensemble forecasting (61%)61% related to the paper, Brier score (60%)60% related to the paper
View PDF
1,148 Citations
open accessOpen access Journal Article DOI: 10.1175/1520-0434(1996)011<0560:FFFAIB>2.0.CO;2
Flash Flood Forecasting: An Ingredients-Based Methodology
Charles A. Doswell1, Harold E. Brooks1, Robert A. Maddox1
01 Dec 1996 - Weather and Forecasting

Abstract:

An approach to forecasting the potential for flash flood-producing storms is developed, using the notion of basic ingredients. Heavy precipitation is the result of sustained high rainfall rates. In turn, high rainfall rates involve the rapid ascent of air containing substantial water vapor and also depend on the precipitation... An approach to forecasting the potential for flash flood-producing storms is developed, using the notion of basic ingredients. Heavy precipitation is the result of sustained high rainfall rates. In turn, high rainfall rates involve the rapid ascent of air containing substantial water vapor and also depend on the precipitation efficiency. The duration of an event is associated with its speed of movement and the size of the system causing the event along the direction of system movement. This leads naturally to a consideration of the meteorological processes by which these basic ingredients are brought together. A description of those processes and of the types of heavy precipitation-producing storms suggests some of the variety of ways in which heavy precipitation occurs. Since the right mixture of these ingredients can be found in a wide variety of synoptic and mesoscale situations, it is necessary to know which of the ingredients is critical in any given case. By knowing which of the ingredients... read more read less
View PDF
950 Citations
open accessOpen access Journal Article DOI: 10.1175/1520-0434(1998)013<0377:TWRA>2.0.CO;2
The WSR-88D Rainfall Algorithm
Richard Fulton1, Jay P. Breidenbach1, Dong Jun Seo1, Dennis Miller1, Timothy O'Bannon
01 Jun 1998 - Weather and Forecasting

Abstract:

A detailed description of the operational WSR-88D rainfall estimation algorithm is presented. This algorithm, called the Precipitation Processing System, produces radar-derived rainfall products in real time for forecasters in support of the National Weather Service’s warning and forecast missions. It transforms reflectivity ... A detailed description of the operational WSR-88D rainfall estimation algorithm is presented. This algorithm, called the Precipitation Processing System, produces radar-derived rainfall products in real time for forecasters in support of the National Weather Service’s warning and forecast missions. It transforms reflectivity factor measurements into rainfall accumulations and incorporates rain gauge data to improve the radar estimates. The products are used as guidance to issue flood watches and warnings to the public and as input into numerical hydrologic and atmospheric models. The processing steps to quality control and compute the rainfall estimates are described, and the current deficiencies and future plans for improvement are discussed. read more read less

Topics:

Quantitative precipitation estimation (56%)56% related to the paper, Weather forecasting (53%)53% related to the paper, Rain gauge (53%)53% related to the paper, NEXRAD (53%)53% related to the paper
940 Citations
open accessOpen access Journal Article DOI: 10.1175/1520-0434(1998)013<1148:ABCOSD>2.0.CO;2
A Baseline Climatology of Sounding-Derived Supercell and Tornado Forecast Parameters
Erik N. Rasmussen1, David O. Blanchard1
01 Dec 1998 - Weather and Forecasting

Abstract:

All of the 0000 UTC soundings from the United States made during the year 1992 that have nonzero convective available potential energy (CAPE) are examined. Soundings are classified as being associated with nonsupercell thunderstorms, supercells without significant tornadoes, and supercells with significant tornadoes. This cla... All of the 0000 UTC soundings from the United States made during the year 1992 that have nonzero convective available potential energy (CAPE) are examined. Soundings are classified as being associated with nonsupercell thunderstorms, supercells without significant tornadoes, and supercells with significant tornadoes. This classification is made by attempting to pair, based on the low-level sounding winds, an upstream sounding with each occurrence of a significant tornado, large hail, and/or 10 or more cloud-to-ground lightning flashes. Severe weather wind parameters (mean shear, 0–6-km shear, storm-relative helicity, and storm-relative anvil-level flow) and CAPE parameters (total CAPE and CAPE in the lowest 3000 m with buoyancy) are shown to discriminate weakly between the environments of the three classified types of storms. Combined parameters (energy–helicity index and vorticity generation parameter) discriminate strongly between the environments. The height of the lifting condensation level a... read more read less

Topics:

Supercell (63%)63% related to the paper, Thunderstorm (61%)61% related to the paper, Convective available potential energy (59%)59% related to the paper, Satellite tornado (59%)59% related to the paper, Severe weather (58%)58% related to the paper
View PDF
722 Citations
What Is a Good Forecast? An Essay on the Nature of Goodness in Weather Forecasting
Allan H. Murphy1
01 Jun 1993 - Weather and Forecasting

Abstract:

Differences of opinion exist among forecasters—and between forecasters and users—regarding the meaning of the phrase “good (bad) weather forecasts.” These differences of opinion are fueled by a lack of clarity and/or understanding concerning the nature of goodness in weather forecasting. This lack of clarity and understanding... Differences of opinion exist among forecasters—and between forecasters and users—regarding the meaning of the phrase “good (bad) weather forecasts.” These differences of opinion are fueled by a lack of clarity and/or understanding concerning the nature of goodness in weather forecasting. This lack of clarity and understanding complicates the processes of formulating and evaluating weather forecasts and undermines their ultimate usefulness. Three distinct types of goodness are identified in this paper: 1) the correspondence between forecasters’ judgments and their forecasts (type 1 goodness, or consistency), 2) the correspondence between the forecasts and the matching observations (type 2 goodness, or quality), and 3) the incremental economic and/or other benefits realized by decision makers through the use of the forecasts (type 3 goodness, or value). Each type of goodness is defined and described in some detail. In addition, issues related to the measurement of consistency, quality, and value ar... read more read less

Topics:

Weather forecasting (51%)51% related to the paper
View PDF
717 Citations
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Frequently asked questions

1. Can I write Weather and Forecasting in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Weather and Forecasting guidelines and auto format it.

2. Do you follow the Weather and Forecasting guidelines?

Yes, the template is compliant with the Weather and Forecasting guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Weather and Forecasting?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the Weather and Forecasting citation style.

4. Can I use the Weather and Forecasting templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Weather and Forecasting.

5. Can I use a manuscript in Weather and Forecasting that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper Weather and Forecasting that you can download at the end.

6. How long does it usually take you to format my papers in Weather and Forecasting?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Weather and Forecasting.

7. Where can I find the template for the Weather and Forecasting?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Weather and Forecasting's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Weather and Forecasting's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Weather and Forecasting an online tool or is there a desktop version?

SciSpace's Weather and Forecasting is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like Weather and Forecasting?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Weather and Forecasting?”

11. What is the output that I would get after using Weather and Forecasting?

After writing your paper autoformatting in Weather and Forecasting, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Weather and Forecasting's impact factor high enough that I should try publishing my article there?

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 these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for Weather and Forecasting?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for Weather and Forecasting. The table below indicates the level of access a journal has as per Sherpa Romeo's 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.

14. What are the most common citation types In Weather and Forecasting?

The 5 most common citation types in order of usage for Weather and Forecasting are:.

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

15. How do I submit my article to the Weather and Forecasting?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Weather and Forecasting's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Weather and Forecasting in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in Weather and Forecasting Endnote style according to Elsevier guidelines.

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