Title
Assimilation of MODIS Chlorophyll-a Data Into a Coupled Hydrodynamic-Biological Model of Taihu Lake
Abstract
MODIS chlorophyll-a concentration (Chla) data were assimilated into a coupled hydrodynamic-biological model using an Optimal Interpolation method. Simulations were conducted using MODIS data covering Taihu Lake in May 2009, when algal blooms typically begin to occur. The results of the assimilation approach showed improvements in the estimation of Chla distributions in spatial coherency and tempor...
Year
DOI
Venue
2014
10.1109/JSTARS.2013.2280815
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Keywords
Field
DocType
Lakes,MODIS,Data models,Biological system modeling,Mathematical model,Numerical models,Water pollution
Assimilation (phonology),Data modeling,Chlorophyll a,Remote sensing,Interpolation,Mean squared error,Correlation function (statistical mechanics),Data assimilation,Covariance matrix,Mathematics
Journal
Volume
Issue
ISSN
7
5
1939-1404
Citations 
PageRank 
References 
3
0.78
1
Authors
4
Name
Order
Citations
PageRank
Lin Qi1193.16
Ronghua Ma211324.96
weiping hu3101.67
Steven A. Loiselle4378.28