Example of Hydrological Processes format
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Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format Example of Hydrological Processes format
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open access Open Access ISSN: 8856087 e-ISSN: 10991085

Hydrological Processes — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Water Science and Technology #26 of 225 down down by 15 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 1223 Published Papers | 7063 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 22/06/2020
Insights & related journals
General info
Top papers
Popular templates
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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.

3.256

2% from 2018

Impact factor for Hydrological Processes from 2016 - 2019
Year Value
2019 3.256
2018 3.189
2017 3.181
2016 3.014
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 2% 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.

5.8

6% from 2019

CiteRatio for Hydrological Processes from 2016 - 2020
Year Value
2020 5.8
2019 6.2
2018 6.2
2017 6.3
2016 5.7
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has decreased by 6% 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.

1.222

14% from 2019

SJR for Hydrological Processes from 2016 - 2020
Year Value
2020 1.222
2019 1.429
2018 1.417
2017 1.566
2016 1.538
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has decreased by 14% 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.

1.247

4% from 2019

SNIP for Hydrological Processes from 2016 - 2020
Year Value
2020 1.247
2019 1.203
2018 1.204
2017 1.271
2016 1.331
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

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CiteRatio: 5.5 | SJR: 1.08 | SNIP: 1.113
open access Open Access e-ISSN: 22967745

Frontiers Media

CiteRatio: 5.0 | SJR: 1.558 | SNIP: 1.437
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Springer

CiteRatio: 4.0 | SJR: 0.881 | SNIP: 0.986
open access Open Access ISSN: 18666280 e-ISSN: 18666299

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CiteRatio: 4.5 | SJR: 0.641 | SNIP: 1.11
Hydrological Processes

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Wiley

Hydrological Processes

Hydrological Processes is an international journal devoted to the publication of original scientific and technical papers in hydrology. The aim and focus of these communications is to enhance our understanding of hydrological processes. The scope of the journal encompasses the...... Read More

Water Science and Technology

Environmental Science

i
Last updated on
22 Jun 2020
i
ISSN
1099-1085
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Impact Factor
Very High - 3.014
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
apa
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Citation Type
Author Year
(Blonder et al., 1982)
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Bibliography Example
Blonder, G.E., Tinkham, M., and Klapwijk, T.M. (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

Journal Article DOI: 10.1002/HYP.3360060305
The future of distributed models: model calibration and uncertainty prediction.
Keith Beven1, Andrew Binley1
01 Jul 1992 - Hydrological Processes

Abstract:

This paper describes a methodology for calibration and uncertainty estimation of distributed models based on generalized likelihood measures. The GLUE procedure works with multiple sets of parameter values and allows that, within the limitations of a given model structure and errors in boundary conditions and field observatio... This paper describes a methodology for calibration and uncertainty estimation of distributed models based on generalized likelihood measures. The GLUE procedure works with multiple sets of parameter values and allows that, within the limitations of a given model structure and errors in boundary conditions and field observations, different sets of values may be equally likely as simulators of a catchment. Procedures for incorporating different types of observations into the calibration; Bayesian updating of likelihood values and evaluating the value of additional observations to the calibration process are described. The procedure is computationally intensive but has been implemented on a local parallel processing computer. read more read less

Topics:

Calibration (statistics) (59%)59% related to the paper, Swat-CUP (57%)57% related to the paper, GLUE (51%)51% related to the paper, Bayesian inference (51%)51% related to the paper
3,857 Citations
Journal Article DOI: 10.1002/HYP.3360050103
Digital terrain modelling: A review of hydrological, geomorphological, and biological applications
I. D. Moore1, Rodger B. Grayson2, Anthony Richard Ladson3
01 Jan 1991 - Hydrological Processes

Abstract:

The topography of a catchment has a major impact on the hydrological, geomorphological. and biological processes active in the landscape. The spatial distribution of topographic attributes can often be used as an indirect measure of the spatial variability of these processes and allows them to be mapped using relatively simpl... The topography of a catchment has a major impact on the hydrological, geomorphological. and biological processes active in the landscape. The spatial distribution of topographic attributes can often be used as an indirect measure of the spatial variability of these processes and allows them to be mapped using relatively simple techniques. Many geographic information systems are being developed that store topographic information as the primary data for analysing water resource and biological problems. Furthermore, topography can be used to develop more physically realistic structures for hydrologic and water quality models that directly account for the impact of topography on the hydrology. Digital elevation models are the primary data used in the analysis of catchment topography. We describe elevation data sources, digital elevation model structures, and the analysis of digital elevation data for hydrological, geomorphological, and biological applications. Some hydrologic models that make use of digital representations of topography are also considered. read more read less

Topics:

Geomorphometry (59%)59% related to the paper, Hydrological modelling (58%)58% related to the paper, Digital elevation model (58%)58% related to the paper, Geographic information system (55%)55% related to the paper, Topographic Wetness Index (54%)54% related to the paper
2,504 Citations
Journal Article DOI: 10.1002/HYP.1095
The influence of autocorrelation on the ability to detect trend in hydrological series
Sheng Yue, Paul Pilon, Bob Phinney1, George Cavadias
30 Jun 2002 - Hydrological Processes

Abstract:

This study investigated using Monte Carlo simulation the interaction between a linear trend and a lag-one autoregressive (AR(1)) process when both exist in a time series. Simulation experiments demonstrated that the existence of serial correlation alters the variance of the estimate of the Mann–Kendall (MK) statistic; and the... This study investigated using Monte Carlo simulation the interaction between a linear trend and a lag-one autoregressive (AR(1)) process when both exist in a time series. Simulation experiments demonstrated that the existence of serial correlation alters the variance of the estimate of the Mann–Kendall (MK) statistic; and the presence of a trend alters the estimate of the magnitude of serial correlation. Furthermore, it was shown that removal of a positive serial correlation component from time series by pre-whitening resulted in a reduction in the magnitude of the existing trend; and the removal of a trend component from a time series as a first step prior to pre-whitening eliminates the influence of the trend on the serial correlation and does not seriously affect the estimate of the true AR(1). These results indicate that the commonly used pre-whitening procedure for eliminating the effect of serial correlation on the MK test leads to potentially inaccurate assessments of the significance of a trend; and certain procedures will be more appropriate for eliminating the impact of serial correlation on the MK test. In essence, it was advocated that a trend first be removed in a series prior to ascertaining the magnitude of serial correlation. This alternative approach and the previously existing approaches were employed to assess the significance of a trend in serially correlated annual mean and annual minimum streamflow data of some pristine river basins in Ontario, Canada. Results indicate that, with the previously existing procedures, researchers and practitioners may have incorrectly identified the possibility of significant trends. Copyright  2002 Environment Canada. Published by John Wiley & Sons, Ltd. read more read less

Topics:

Trend analysis (55%)55% related to the paper, Correlation coefficient (52%)52% related to the paper, Autocorrelation (52%)52% related to the paper
View PDF
1,403 Citations
Journal Article DOI: 10.1002/HYP.3360090305
Scale issues in hydrological modelling: A review
Günter Blöschl1, Murugesu Sivapalan2
01 Apr 1995 - Hydrological Processes

Abstract:

A framework is provided for scaling and scale issues in hydrology. The first section gives some basic definitions. This is important as researchers do not seem to have agreed on the meaning of concepts such as scale or upscaling. ‘Process scale’, ‘observation scale’ and ‘modelling (working) scale’ require different definition... A framework is provided for scaling and scale issues in hydrology. The first section gives some basic definitions. This is important as researchers do not seem to have agreed on the meaning of concepts such as scale or upscaling. ‘Process scale’, ‘observation scale’ and ‘modelling (working) scale’ require different definitions. The second section discusses heterogeneity and variability in catchments and touches on the implications of randomness and organization for scaling. The third section addresses the linkages across scales from a modelling point of view. It is argued that upscaling typically consists of two steps: distributing and aggregating. Conversely, downscaling involves disaggregation and singling out. Different approaches are discussed for linking state variables, parameters, inputs and conceptualizations across scales. This section also deals with distributed parameter models, which are one way of linking conceptualizations across scales. The fourth section addresses the linkages across scales from a more holistic perspective dealing with dimensional analysis and similarity concepts. The main difference to the modelling point of view is that dimensional analysis and similarity concepts deal with complex processes in a much simpler fashion. Examples of dimensional analysis, similarity analysis and functional normalization in catchment hydrology are given. This section also briefly discusses fractals, which are a popular tool for quantifying variability across scales. The fifth section focuses on one particular aspect of this holistic view, discussing stream network analysis. The paper concludes with identifying key issues and gives some directions for future research. read more read less

Topics:

Scale (ratio) (51%)51% related to the paper, Section (archaeology) (50%)50% related to the paper
View PDF
1,387 Citations
Journal Article DOI: 10.1002/HYP.3360050106
The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models
Paul Quinn1, Keith Beven1, Pierre Chevallier2, Olivier Planchon
01 Jan 1991 - Hydrological Processes

Abstract:

The accuracy of the predictions of distributed hydrological models must depend in part on the proper specification of flow pathways. This paper examines some of the problems of deriving flow pathways from raster digital terrain data in the context of hydrological predictions using TOPMODEL. Distributed moisture status is pred... The accuracy of the predictions of distributed hydrological models must depend in part on the proper specification of flow pathways. This paper examines some of the problems of deriving flow pathways from raster digital terrain data in the context of hydrological predictions using TOPMODEL. Distributed moisture status is predicted in TOPMODEL on the basis of spatial indices that depend on flow path definition. The sensitivity of this index to flow path algorithm and grid size is examined for the case where the surface topography is a good indicator of local hydraulic gradients. A strategy for the case where downslope subsurface flow pathways may deviate from those indicated by the surface topography is described with an example application. read more read less

Topics:

Hydrological modelling (54%)54% related to the paper, Terrain (53%)53% related to the paper, Subsurface flow (52%)52% related to the paper
View PDF
1,368 Citations
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Hydrological Processes format uses apa citation style.

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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 Hydrological Processes 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 Hydrological Processes 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 Hydrological Processes'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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After uploading your paper on SciSpace, you would see a button to request a journal submission service for Hydrological Processes.

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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 Hydrological Processes Endnote style, according to wiley guidelines.

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