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Sediment load assessments under climate change scenarios and a lack of integration between climatologists and environmental modelers.
Szalinska, Ewa; Orlinska-Wozniak, Paulina; Wilk, Pawel; Jakusik, Ewa; Skalák, Petr; Wypych, Agnieszka; Arnold, Jeff.
Affiliation
  • Szalinska E; AGH University of Krakow, A. Mickiewicza Av. 30, 30-059, Kraków, Poland. eszalinska@agh.edu.pl.
  • Orlinska-Wozniak P; Institute of Meteorology and Water, Management - National Research Institute, Podlesna 61, 01-673, Warsaw, Poland.
  • Wilk P; Institute of Meteorology and Water, Management - National Research Institute, Podlesna 61, 01-673, Warsaw, Poland.
  • Jakusik E; Institute of Meteorology and Water, Management - National Research Institute, Podlesna 61, 01-673, Warsaw, Poland.
  • Skalák P; Global Change Research Institute of the Czech Academy of Sciences, Belidla 986/4a, 603 00, Brno, Czech Republic.
  • Wypych A; Department of Climatology, Jagiellonian University in Krakow, Gronostajowa 7, 30-387, Kraków, Poland.
  • Arnold J; United States Department of Agriculture, Agricultural Research Service, Temple, TX, 76502, USA.
Sci Rep ; 14(1): 21727, 2024 Sep 17.
Article in En | MEDLINE | ID: mdl-39289447
ABSTRACT
Increasing precipitation accelerates soil erosion and boosts sediment loads, especially in mountain catchments. Therefore, there is significant pressure to deliver plausible assessments of these phenomena on a local scale under future climate change scenarios. Such assessments are primarily drawn from a combination of climate change projections and environmental model simulations, usually performed by climatologists and environmental modelers independently. Our example shows that without communication from both groups the final results are ambiguous. Here, we estimate sediment loads delivered from a Carpathian catchment to a reservoir to illustrate how the choice of meteorological data, reference period, and model ensemble can affect final results. Differences in future loads could reach up to even 6000 tons of sediment per year. We suggest there must be a better integration between climatologists and environmental modelers, focusing on introducing multi-model ensembles targeting specific impacts to facilitate an informed choice on climate information.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: Poland Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Sci Rep Year: 2024 Document type: Article Affiliation country: Poland Country of publication: United kingdom