Remote sensing, hydrological modeling and in situ observations in snow cover research: A review

C Dong - Journal of Hydrology, 2018 - Elsevier
Snow is an important component of the hydrological cycle. As a major part of the cryosphere,
snow cover also represents a valuable terrestrial water resource. In the context of climate …

Toward snow cover estimation in mountainous areas using modern data assimilation methods: A review

C Largeron, M Dumont, S Morin, A Boone… - Frontiers in Earth …, 2020 - frontiersin.org
The snow cover is a key component of land surface hydrology, especially in mountain areas
where it governs the amount and timing of water availability in downstream areas. It is …

Calibration of a large-scale hydrological model using satellite-based soil moisture and evapotranspiration products

P López López, EH Sutanudjaja… - Hydrology and Earth …, 2017 - hess.copernicus.org
A considerable number of river basins around the world lack sufficient ground observations
of hydro-meteorological data for effective water resources assessment and management …

Ground-based evaluation of MODIS snow cover product V6 across China: Implications for the selection of NDSI threshold

H Zhang, F Zhang, G Zhang, T Che, W Yan… - Science of the Total …, 2019 - Elsevier
The new MODIS daily NDSI snow cover product version 6 (V6) is released to replace V5
with significant revisions. This study evaluates, for the first time, the accuracy of product V6 …

Reanalysis in Earth system science: Toward terrestrial ecosystem reanalysis

R Baatz, HJ Hendricks Franssen… - Reviews of …, 2021 - Wiley Online Library
A reanalysis is a physically consistent set of optimally merged simulated model states and
historical observational data, using data assimilation. High computational costs for modeled …

High resolution satellite products improve hydrological modeling in northern Italy

L Alfieri, F Avanzi, F Delogu, S Gabellani… - Hydrology and Earth …, 2021 - hess.copernicus.org
Satellite Earth observations (EO) are an accurate and reliable data source for atmospheric
and environmental science. Their increasing spatial and temporal resolution, as well as the …

Map** snow depth distribution from 1980 to 2020 on the tibetan plateau using multi-source remote sensing data and downscaling techniques

Y Ma, XD Huang, XL Yang, YX Li, YL Wang… - ISPRS Journal of …, 2023 - Elsevier
Although passive microwave remote sensing has been widely used for snow depth (SD)
retrieval, its coarse spatial resolution has led to large uncertainties in various applications …

[HTML][HTML] Reducing hydrological modelling uncertainty by using MODIS snow cover data and a topography-based distribution function snowmelt model

N Di Marco, D Avesani, M Righetti, M Zaramella… - Journal of …, 2021 - Elsevier
This work introduces a general multi-objective parameter estimation framework to exploit
MODIS-based snow cover maps to reduce predictive streamflow uncertainty in snow …

Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing

P Schattan, G Baroni, SE Oswald… - Water Resources …, 2017 - Wiley Online Library
The characteristics of an aboveground cosmic‐ray neutron sensor (CRNS) are evaluated for
monitoring a mountain snowpack in the Austrian Alps from March 2014 to June 2016 …

[HTML][HTML] The multiple snow data assimilation system (MuSA v1. 0)

E Alonso-González, K Aalstad… - Geoscientific Model …, 2022 - gmd.copernicus.org
Accurate knowledge of the seasonal snow distribution is vital in several domains including
ecology, water resources management, and tourism. Current spaceborne sensors provide a …