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 …
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
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 …
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 …
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
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 …
with significant revisions. This study evaluates, for the first time, the accuracy of product V6 …
Reanalysis in Earth system science: Toward terrestrial ecosystem reanalysis
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 …
historical observational data, using data assimilation. High computational costs for modeled …
High resolution satellite products improve hydrological modeling in northern Italy
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 …
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 …
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
This work introduces a general multi-objective parameter estimation framework to exploit
MODIS-based snow cover maps to reduce predictive streamflow uncertainty in snow …
MODIS-based snow cover maps to reduce predictive streamflow uncertainty in snow …
Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing
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 …
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 …
ecology, water resources management, and tourism. Current spaceborne sensors provide a …