Example of Journal of Applied Meteorology and Climatology format
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Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format
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Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format Example of Journal of Applied Meteorology and Climatology format
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open access Open Access

Journal of Applied Meteorology and Climatology — Template for authors

Categories Rank Trend in last 3 yrs
Atmospheric Science #38 of 124 down down by 5 ranks
journal-quality-icon Journal quality:
Good
calendar-icon Last 4 years overview: 620 Published Papers | 3106 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 01/06/2020
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Related Journals

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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.

2.506

6% from 2018

Impact factor for Journal of Applied Meteorology and Climatology from 2016 - 2019
Year Value
2019 2.506
2018 2.364
2017 2.236
2016 2.365
graph view Graph view
table view Table view

5.0

16% from 2019

CiteRatio for Journal of Applied Meteorology and Climatology from 2016 - 2020
Year Value
2020 5.0
2019 4.3
2018 4.0
2017 4.4
2016 5.0
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 6% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 16% 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.

1.079

21% from 2019

SJR for Journal of Applied Meteorology and Climatology from 2016 - 2020
Year Value
2020 1.079
2019 1.367
2018 1.402
2017 1.408
2016 1.817
graph view Graph view
table view Table view

1.131

4% from 2019

SNIP for Journal of Applied Meteorology and Climatology from 2016 - 2020
Year Value
2020 1.131
2019 1.092
2018 1.017
2017 1.062
2016 1.208
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 21% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

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

Journal of Applied Meteorology and Climatology

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American Meteorological Society

Journal of Applied Meteorology and Climatology

Applied meteorological research related to physical meteorology, weather modification, satellite meteorology, radar meteorology, boundary layer processes, air pollution meteorology (including dispersion and chemical processes), agricultural and forest meteorology, and applied ...... Read More

Atmospheric Science

Earth and Planetary Sciences

i
Last updated on
01 Jun 2020
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ISSN
1558-8432
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Impact Factor
High - 1.183
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Acceptance Rate
Not provided
i
Frequency
Not provided
i
Open Access
No
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Sherpa RoMEO Archiving Policy
Yellow faq
i
Endnote Style
Download Available
i
Bibliography Name
numbered
i
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

Bulk Parameterization of the Snow Field in a Cloud Model
Yuh-Lang Lin1, Richard D. Farley1, Harold D. Orville1

Abstract:

A two-dimensional, time-dependent cloud model has been used to simulate a moderate intensity thunderstorm for the High Plains region. Six forms of water substance (water vapor, cloud water, cloud ice, rain, snow and hail, i.e., graupel) are simulated. The model utilizes the “bulk water” microphysical parameterization techniqu... A two-dimensional, time-dependent cloud model has been used to simulate a moderate intensity thunderstorm for the High Plains region. Six forms of water substance (water vapor, cloud water, cloud ice, rain, snow and hail, i.e., graupel) are simulated. The model utilizes the “bulk water” microphysical parameterization technique to represent the precipitation fields which are all assumed to follow exponential size distribution functions. Autoconversion concepts are used to parameterize the collision-coalescence and collision-aggregation processes. Accretion processes involving the various forms of liquid and solid hydrometeors are simulated in this model. The transformation of cloud ice to snow through autoconversion (aggregation) and Bergeron process and subsequent accretional growth or aggregation to form hail are simulated. Hail is also produced by various contact mechanisms and via probabilistic freezing of raindrops. Evaporation (sublimation) is considered for all precipitation particles outsi... read more read less
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3,694 Citations
On the Average Value of Correlated Time Series, with Applications in Dendroclimatology and Hydrometeorology
Tom M. L. Wigley1, Keith R. Briffa2, Philip Jones2

Abstract:

In a number of areas of applied climatology, time series are either averaged to enhance a common underlying signal or combined to produce area averages. How well, then, does the average of a finite number (N) of time series represent the population average, and how well will a subset of series represent the N-series average? ... In a number of areas of applied climatology, time series are either averaged to enhance a common underlying signal or combined to produce area averages. How well, then, does the average of a finite number (N) of time series represent the population average, and how well will a subset of series represent the N-series average? We have answered these questions by deriving formulas for 1) the correlation coefficient between the average of N time series and the average of n such series (where n is an arbitrary subset of N) and 2) the correlation between the N-series average and the population. We refer to these mean correlations as the subsample signal strength (SSS) and the expressed population signal (EPS). They may be expressed in terms of the mean inter-series correlation coefficient r as SSS ≡ (Rn,N)2 ≈ n(1 + (N − 1)r)/ N(1 + (N − 1)r), EPS ≡ RN)2 ≈ Nr/1 + (N − 1)r.Similar formulas are given relating these mean correlations to the fractional common variance which arises as a parameter in a... read more read less
3,373 Citations
The Palmer Drought Severity Index: Limitations and Assumptions
William M. Alley1

Abstract:

The structure of the Palmer Drought Severity Index (PDSI), which is perhaps the most widely used regional index of drought, is examined. The PDSI addresses two of the most elusive properties of droughts: their intensity and their beginning and ending times. Unfortunately, the index uses rather arbitrary rules in quantifying t... The structure of the Palmer Drought Severity Index (PDSI), which is perhaps the most widely used regional index of drought, is examined. The PDSI addresses two of the most elusive properties of droughts: their intensity and their beginning and ending times. Unfortunately, the index uses rather arbitrary rules in quantifying these properties. In addition, the methodology used to standardize the values of the PDSI for different locations and months is based on very limited comparisons and is only weakly justified on physical or statistical grounds. Under certain conditions, the PDSI values are very sensitive to the criteria for ending an “established” drought and precipitation during a month can have a very large effect on the PDSI values for several previous months. The distribution of the PDSI conditioned on the value for the previous month may often be bimodal. Thus, conventional time series models may be quite limited in their ability to capture the stochastic properties of the index. read more read less
1,401 Citations
open accessOpen access Journal Article DOI: 10.1175/JAM2539.1
A Combined Local and Nonlocal Closure Model for the Atmospheric Boundary Layer. Part I: Model Description and Testing
Jonathan E. Pleim1

Abstract:

The modeling of the atmospheric boundary layer during convective conditions has long been a major source of uncertainty in the numerical modeling of meteorological conditions and air quality. Much of the difficulty stems from the large range of turbulent scales that are effective in the convective boundary layer (CBL). Both s... The modeling of the atmospheric boundary layer during convective conditions has long been a major source of uncertainty in the numerical modeling of meteorological conditions and air quality. Much of the difficulty stems from the large range of turbulent scales that are effective in the convective boundary layer (CBL). Both small-scale turbulence that is subgrid in most mesoscale grid models and large-scale turbulence extending to the depth of the CBL are important for the vertical transport of atmospheric properties and chemical species. Eddy diffusion schemes assume that all of the turbulence is subgrid and therefore cannot realistically simulate convective conditions. Simple nonlocal closure PBL models, such as the Blackadar convective model that has been a mainstay PBL option in the fifth-generation Pennsylvania State University–National Center for Atmospheric Research Mesoscale Model (MM5) for many years and the original asymmetric convective model (ACM), also an option in MM5, represent large-scale transport driven by convective plumes but neglect small-scale, subgrid turbulent mixing. A new version of the ACM (ACM2) has been developed that includes the nonlocal scheme of the original ACM combined with an eddy diffusion scheme. Thus, the ACM2 is able to represent both the supergrid- and subgrid-scale components of turbulent transport in the convective boundary layer. Testing the ACM2 in one-dimensional form and comparing it with large-eddy simulations and field data from the 1999 Cooperative Atmosphere–Surface Exchange Study demonstrates that the new scheme accurately simulates PBL heights, profiles of fluxes and mean quantities, and surface-level values. The ACM2 performs equally well for both meteorological parameters (e.g., potential temperature, moisture variables, and winds) and trace chemical concentrations, which is an advantage over eddy diffusion models that include a nonlocal term in the form of a gradient adjustment. read more read less
1,034 Citations
open accessOpen access Journal Article DOI: 10.1175/1520-0450(1986)025<0087:SSSMFD>2.0.CO;2
Simple Solar Spectral Model for Direct and Diffuse Irradiance on Horizontal and Tilted Planes at the Earth's Surface for Cloudless Atmospheres

Abstract:

In a previous work, we described a simple model for calculating direct normal and diffuse horizontal spectral solar irradiance for cloudless sky conditions. In this paper, we present a new simple model (SPCTRAL2) that incorporates improvements to the simple model approach and an algorithm for calculating spectral irradiance o... In a previous work, we described a simple model for calculating direct normal and diffuse horizontal spectral solar irradiance for cloudless sky conditions. In this paper, we present a new simple model (SPCTRAL2) that incorporates improvements to the simple model approach and an algorithm for calculating spectral irradiance on tilted surfaces. The model was developed using comparisons with rigorous radiative transfer codes and limited outdoor measurements. SPCTRAL2 produces terrestrial spectra between 0.3 and 4.0 μm with a resolution of approximately 10 nm. Inputs to the model include the solar zenith angle, the collector tilt angle, atmospheric turbidity, the amount of precipitable water vapor and ozone, surface pressure, and ground albedo. A major goal of this work is to provide researchers with the capability to calculate spectral irradiance for different atmospheric conditions and different solar collector geometries using microcomputers. read more read less
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876 Citations
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12. Is Journal of Applied Meteorology and Climatology'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 Journal of Applied Meteorology and Climatology?

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 Journal of Applied Meteorology and Climatology. 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 Journal of Applied Meteorology and Climatology?

The 5 most common citation types in order of usage for Journal of Applied Meteorology and Climatology 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 to SciSpace. Then SciSpace would allow you to download your references in Journal of Applied Meteorology and Climatology Endnote style according to Elsevier guidelines.

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