Results 161 to 170 of about 612,415 (186)

Introduction to Data Assimilation

2011
The basic purpose of data assimilation is to combine different sources of information to estimate at best the state of a system. These sources generally are observations (data), a numerical model and error statistics. Why not simply use observations? First, because observations are sparse or partial in geophysics.
openaire   +3 more sources

Data Assimilation

1985
W. Bourke, R. Seaman, K. Puri
openaire   +1 more source

Data Assimilation

1986
David L. T. Anderson, Andrew M. Moore
openaire   +1 more source

data assimilation

2017
openaire   +1 more source

Clinical highlights from the National Cancer Data Base, 2000

Ca-A Cancer Journal for Clinicians, 2000
exaly  

Clinical highlights from the National Cancer Data Base, 1999

Ca-A Cancer Journal for Clinicians, 1999
exaly  

Clinical highlights from the National Cancer Data Base: 1994

Ca-A Cancer Journal for Clinicians, 1994
exaly  

The National Cancer Data Base: a vital commitment

Ca-A Cancer Journal for Clinicians, 1994
exaly  

Data Assimilation

2009
openaire   +1 more source

NEW DATA ON COMBINED HORMONE REPLACEMENT THERAPY AND BREAST CANCER

Ca-A Cancer Journal for Clinicians, 2003
exaly