Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter
نویسندگان
چکیده
منابع مشابه
Assimilation of MODIS Snow Cover Area Data in a Distributed Hydrological Model Using the Particle Filter
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. In this study, the assimilation in the LISFLOOD model...
متن کاملCalibration of a distributed hydrological model for simulations of remote glacierized Himalayan catchments using MODIS snow cover data
The objective of this study is to investigate the suitability of remote sensing data to calibrate a distributed hydrological model of a Nepalese Himalayan headwater catchment. Snow cover data from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite are used to calibrate the snow and glacier routine of the conceptual hydrological model TAC. The snow cover information is useful to...
متن کاملBayesian assimilation of snow cover data
A Bayesian spatial assimilation scheme for snow coverage observations in a gridded snow model S. Kolberg, H. Rue, and L. Gottschalk SINTEF Energy Research, Sem Sælands vei 11, 7465 Trondheim, Norway Department of Mathematical Sciences, NTNU, 7491 Trondheim, Norway Department of Geosciences, University of Oslo. P.O. Box 1047 Blindern, 0316 Oslo, Norway Received: 24 June 2005 – Accepted: 6 July 2...
متن کاملAssimilation of MODIS Snow Cover Fraction Observations into the NASA Catchment Land Surface Model
The NASA Catchment land surface model (CLSM) is the land model component used for the Modern-Era Retrospective Analysis for Research and Applications (MERRA). Here, the CLSM versions of MERRA and MERRA-Land are evaluated using snow cover fraction (SCF) observations from the Moderate Resolution Imaging Spectroradiometer (MODIS). Moreover, a computationally-efficient empirical scheme is designed ...
متن کاملA Constrained Spectral Unmixing Approach to Snow- Cover Mapping in Forests using MODIS Data
A snow-cover mapping method accounting for forests (SnowFrac) is presented. SnowFrac uses spectral unmixing and endmember constraints to estimate the snow-cover fraction of a pixel. The unmixing is based on a linear spectral mixture model, which includes endmembers for snow, coniferous trees, branches of leafless deciduous trees and snow-free ground. Model input consists of a land-cover fractio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2013
ISSN: 2072-4292
DOI: 10.3390/rs5115825