Results 251 to 260 of about 24,876,673 (286)

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 DEVICE, DATA ASSIMILATION METHOD, DATA ASSIMILATION PROGRAM, AND DATA ASSIMILATION SYSTEM

2023
YAMANAKA AKINORI, ISHII AKIMITSU
openaire   +2 more sources

Global Mercury Assimilation by Vegetation

Environmental Science & Technology, 2021
Daniel Obrist
exaly  

Data Assimilation in Models

2001
A.R. Robinson, P.F.J. Lermusiaux
openaire   +1 more source

Deep Data Assimilation: Integrating Deep Learning with Data Assimilation

Applied Sciences (Switzerland), 2021
Rossella Arcucci
exaly  

DATA ASSIMILATION AND PREDICTABILITY | Data Assimilation

2015
openaire   +1 more source

Satellite All-sky Infrared Radiance Assimilation: Recent Progress and Future Perspectives

Advances in Atmospheric Sciences, 2021
Kozo Okamoto, Wei Han
exaly  

The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business

Management Science, 2006
Sean Xu, Kevin Zhu, Kenneth L Kraemer
exaly  

DATA ASSIMILATION AND PREDICTABILITY | Ensemble-Based Data Assimilation

2015
Z. Meng, F. Zhang
openaire   +1 more source

Will the new second generation experience ‘downward assimilation’? Segmented assimilation re-assessed

Ethnic and Racial Studies, 2004
Cynthia Feliciano, Roger Waldinger
exaly