Results 11 to 20 of about 40,815 (264)
Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter [PDF]
Remote Sensing, 2013 Snow is an important component of the water cycle, and its estimation in hydrological models is of great significance concerning the simulation and forecasting of flood events due to snow-melt. The assimilation of Snow Cover Area (SCA) in physical distributed hydrological models is a possible source of improvement of snowmelt-related floods.
Thirel, Guillaume +3 more
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Assimilation of MODIS snow cover area data in a distributed hydrological model [PDF]
, 2011 Abstract. Snow is an important component of the water cycle and its estimation in hydrological models is of great importance concerning snow melting flood events simulations and forecasting. The LISFLOOD model is a spatially distributed hydrological model designed at the Joint Research Centre for large European river basins. It is used for a variety of
GUILLAUME Thirel +3 more
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Journal of Institute of Science and Technology, 2020 Snow is one of the main components of the cryosphere and plays a vital role in the hydrology and regulating climate. This study presents the dynamics of maximum snow cover area (SCA) and snow line altitude (SLA) across the Western, Central, and Eastern Nepal using improved Moderate Resolution Imaging Spectroradiometer (MODIS; 500 m) data from 2003 to ...
Shankar Sharma +7 more
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Estimating spatial distribution of daily snow depth with kriging methods: combination of MODIS snow cover area data and ground-based observations [PDF]
, 2015 Abstract. Accurately measuring the spatial distribution of the snow depth is difficult because stations are sparse, particularly in western China. In this study, we develop a novel scheme that produces a reasonable spatial distribution of the daily snow depth using kriging interpolation methods.
Huang, C. L., Wang, H. W., Hou, J. L.
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Application of MODIS snow cover products: wildfire impacts on snow and melt in the Sierra Nevada [PDF]
Hydrology and Earth System Sciences, 2014 The current work evaluates the spatial and temporal variability in snow after a large forest fire in northern California using Moderate Resolution Imaging Spectroradiometer (MODIS) snow-covered area and grain size (MODSCAG). MODIS MOD10A1 fractional snow-
P. D. Micheletty +2 more
doaj +2 more sources
Improving the Informational Value of MODIS Fractional Snow Cover Area Using Fuzzy Logic Based Ensemble Smoother Data Assimilation Frameworks [PDF]
Remote Sensing, 2018 Remote sensing fractional snow cover area (fSCA) has been increasingly used to get an improved estimate of the spatiotemporal distribution of snow water equivalent (SWE) through reanalysis using different data assimilation (DA) schemes. Although the effective assimilation period of fSCA is well recognized in previous studies, little attention has been ...
Aynom T. Teweldebrhan +3 more
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Remote Sensing, 2023 In the Alpine environment, snow plays a key role in many processes involving ecosystems, biogeochemical cycles, and human wellbeing. Due to the inaccessibility of mountain areas and the high spatial and temporal heterogeneity of the snowpack, satellite spatio-temporal data without gaps offer a unique opportunity to monitor snow on a fine scale. In this
Chiara Richiardi +2 more
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Journal of Physics: Conference Series, 2019 Abstract Snow and Ice–cover area information is important for a wide variety of scientific climate studies, water source and management applications. The NASA Earth Observing System (EOS) Moderate Resolution Imaging Spectroradiometer (MODIS) satellite, provides improved capabilities to observe snow-ice coverarea from space and has been ...
A. H. Abdulkadhim
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Geocarto International, 2022 In the present work, the scatterometer satellite (SCATSAT-1) has been implemented and validated to provide the near-real-time estimation of snow cover area (SCA) in the Western Himalayas, India. The SCA derived from standalone SCATSAT-1 L4 (Level-4 India)
Sartajvir Singh +5 more
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Géosciences, 2023 Understanding the distribution, patterns, and characteristics of snowfall and snow cover within a given region over extended periods is important. Snow climatology provides valuable insights into the seasonal and long-term variations in snowfall, helping
Z. Akyurek +3 more
semanticscholar +1 more source