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This research was funded by the Ministry of Science, Innovation and Universities of Spain under grants RTC-2017-6389-5 and RTI2018096384BI00. This work has also received funding from the European Union's Horizon 2020 research and innovation programme within the framework of the project SMARTLAGOON under grant agreement No. 101017861. Adrian Lopez Ballesteros was sponsored by the Ministry of Science, Innovation and Universities of Spain under an FPU grant (FPU17/00923) and Jose M. Cecilia under the Ramon y Cajal Program (Grant No. RYC2018025580I) . The authors would like to acknowledge AEMET for the precipitation and air temperature data provided for this work (AEMET grid dataset can be found at http:// www.aemet.es/es/serviciosclimaticos/cambio_climat) .

Analysis of institutional authors

Giménez, JgAuthorCecilia, JmAuthor

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October 30, 2024
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Impacts of swat weather generator statistics from high-resolution datasets on monthly streamflow simulation over Peninsular Spain

Publicated to:Journal Of Hydrology: Regional Studies. 35 100826- - 2021-06-01 35(), DOI: 10.1016/j.ejrh.2021.100826

Authors: Senent-Aparicio, Javier; Jimeno-Saez, Patricia; Lopez-Ballesteros, Adrian; Gimnez, Jose Gines; Perez-Sanchez, Julio; Cecilia, Jose M; Srinivasan, Raghavan

Affiliations

- Author
Catholic Univ Murcia UCAM, Dept Civil Engn - Author
Texas A&M Univ, Spatial Sci Lab, Dept Ecosyst Sci & Management - Author
Univ Politecn Valencia UPV, Dept Comp Engn - Author

Abstract

Study region: Peninsular Spain. Study focus: Weather data are the key drivers of hydrological modelling. However, available weather data can present gaps in data sequences and are often limited in their spatial coverage for use in such hydrological models as the Soil and Water Assessment Tool (SWAT). To overcome this limitation, SWAT includes a weather generator algorithm that can complete this data based on long-term weather statistics. This work presents a newly developed weather statistics dataset for Peninsular Spain (PSWG), calculated from national gridded datasets according to the SWAT model format. PSWG provides a higher resolution that stands as a compelling alternative to the statistics calculated from the Climate Forecast System Reanalysis (CFSR) that are available on the SWAT website. New hydrological insights for the region: The dataset has been evaluated using PSWG and CFSR datasets for different data availability scenarios to reconstruct weather series in three watersheds with contrasting weather climates. Results underscore the superiority of the PSWG dataset in reconstructing missing data for hydrological simulations. This approach provides a strong alternative for SWAT applications in Peninsular Spain and the applied methodology can be replicated in other countries that dispose of high-resolution gridded rainfall and temperature datasets.

Keywords

CfsrClimateDaily precipitationHydrological applicationMediterranean basinModelNcep-cfsrPeninsular spainPersiann-cdrRiver-basinSwatTrmm 3b42v7VariabilityWeather generator

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Journal Of Hydrology: Regional Studies due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2021, it was in position 17/100, thus managing to position itself as a Q1 (Primer Cuartil), in the category Water Resources.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 2.38. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 14, 2024)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 2.2 (source consulted: FECYT Feb 2024)
  • Field Citation Ratio (FCR) from Dimensions: 7.97 (source consulted: Dimensions Aug 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-08-09, the following number of citations:

  • WoS: 34
  • Scopus: 27

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-08-09:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 78.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 78 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 1.
  • The number of mentions on the social network X (formerly Twitter): 1 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: http://hdl.handle.net/10251/186988

Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: United States of America.