Snow Parameters Estimation Through New Data Fusion Approaches Involving a Hydrological Model and Remote Sensing Products
Year: 2020
Type: conference-paper
Abstract: Monitoring the snow coverage and understanding the internal snowpack processes is crucial in mountainous areas for the role of snow as water reservoir in hydrological cycle. Traditional methods for snow properties retrieval are based on pointwise observations collected by operators or at nivometeorological automatic stations. However, both acquisition methods are limited in space and cannot provide information in remote areas. To overcome these limitations, a commonly used approach is the use of physically based models. Although extensively tested and validated in gauged areas, these models are still affected by uncertainties in spatially distributed applications, due, among other things, to their connection to meteorological data, which are pointwise observations and need to be spatialized to the regional scale.
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
SDG: Climate action
Open Access status: green
OpenAlex ID: W3208501494