Francis Matthews (Avtor), Anže Medved (Avtor), Pasquale Borrelli (Avtor), Leonidas Liakos (Avtor), G. Verstraeten (Avtor), Panos Panagos (Avtor), Nejc Bezak (Avtor)

Povzetek

Rainfall erosivity maps for (near) real-time soil erosion predictions require the integration of (combinations of) reanalysis products and satellite-retrievals of rainfall, and the overcoming of potential bias related to their simplified spatial and temporal scale. Across Europe, we evaluate: 1) the European Meteorological Observations (EMO) dataset to simulate the localised characteristics of rainfall erosivity at the event scale (EI30), and 2) different implementations of quantile delta mapping (QDM) bias correction to improve the prediction skill. Between 1990 and 2014, evaluations were made at several spatial (location-specific, climatic zone and panEuropean) and temporal (event, annual and long-term annual average) scales. The uncorrected EMO predictions demonstrated: 1) a slight overprediction of the number of EI30 events, 2) a reduced coefficient of variation in the EI30 (CV EMO = 1.57, CV REDES = 2.5), and 3) a relatively low (R 2 = 0.22, n = 139,306) location-specific predictive skill, with higher discrepancies in all cases in Southern Europe. Following QDM, the EI30 predictions significantly better represented the large-sample variability of EI30 per climate region and improved the monthly correspondence. At specific locations, station-wise bias correction was the only implementation to improve the event (R 2 (R 2 = 0.24, n = 139,306), annual (R 2 = 0.51, n = 14,248) and average annual =0.76, n = 1142) predictions. While bias correction can improve rainfall erosivity predictions, applications should consider possibly large error propagation into subsequent predictions, regional disparities in performance, and the potential to improve the large-sample statistical correspondence but degrade the location-specific time series prediction.

Ključne besede

erozivnost padavin;odpravljanje pristranskosti;Evropa;baza REDES;klimatske regije;EMO;rainfall erosivity;bias correction;quantile delta mapping;Europe;REDES base;

Podatki

Jezik: Angleški jezik
Leto izida:
Tipologija: 1.01 - Izvirni znanstveni članek
Organizacija: UL FGG - Fakulteta za gradbeništvo in geodezijo
UDK: 502/504:556
COBISS: 106880515 Povezava se bo odprla v novem oknu
ISSN: 0022-1694
Št. ogledov: 1213
Št. prenosov: 82
Ocena: 0 (0 glasov)
Metapodatki: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Ostali podatki

Sekundarni jezik: Slovenski jezik
Sekundarne ključne besede: podnebne spremembe;kmetijstvo;tla;spremembe rabe tal;R-faktor;varnost hrane;
Vrsta dela (COBISS): Članek v reviji
Strani: str. 1-17
Zvezek: ǂLetn. ǂ651
Čas izdaje: 2025
DOI: 10.1016/j.jhydrol.2024.132460
ID: 15504052