Snow surface parameters from PRISMA data

Description

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.

Steps to reproduce

• PRISMA L1 product is stored in the open prisma portal (https://prisma.asi.it/). The open-source tool prismaread for PRISMA data processing is accessible at https://irea-cnr-mi.github.io/prismaread/index.html, and the ATCOR3 ATBD manual can be found at https://www.rese-apps.com/pdf/atcor_atbd.pdf. • The BioSNICAR radiative transfer model used to generate synthetic spectra is open source and available at: https://github.com/jmcook1186/biosnicar-py. The corresponding synthetic dataset is provided in the "BioSNICAR_dataset" folder. • Ground-based measurements, K-Nearest Neighbors retrievals based on BioSNICAR simulations, and outputs from the Asymptotic Radiative Transfer model model are collected in the file "spectroscopy_and_field_data.xlsx" file. • Data used to produce snow parameter maps are in "Snow_properties_maps".

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Funding

Additional Metadata for University of Milano - Bicocca

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