Snow surface parameters from PRISMA data
View DatasetDescription
This dataset has been used in the manuscript titled “Snow Surface Parameters from PRISMA Data in the Alps and Their Implications for Radiative Forcing” and provides snow property parameters retrieved from PRISMA hyperspectral imagery acquired over Plateau Rosa (Aosta Valley, European Alps) following a Saharan dust deposition event in July 2024. The parameters include mineral dust concentration, snow grain size, broadband albedo, and instantaneous radiative forcing. These were estimated using a supervised learning approach based on the K-Nearest Neighbors (KNN) algorithm, which was applied to match observed spectra with a reference library generated using the BioSNICAR radiative transfer model. The dataset also includes Asymptotic Radiative Transfer (S-ART) model (S-ART) outputs and in situ measurements collected during a dedicated field campaign. These data support the investigation of the effects of light-absorbing impurities on snow radiative properties, contributing to the improvement of climate and hydrological modeling in high-altitude environments.
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Publication Details
DOI
Publisher
Bicocca Open Archive Research Data
Subfield
Computational Mechanics
Field
Engineering
Domain
Physical Sciences
Confidence Score
45%
Source
Scholar Data Model