An ensemble data assimilation modeling system for operational outdoor microalgae growth forecasting-Reference-Cited by-同舟云学术

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An ensemble data assimilation modeling system for operational outdoor microalgae growth forecasting

Published:2022-11-06 Issue:2 Volume:120 Page:426-443
ISSN:0006-3592
Container-title:Biotechnology and Bioengineering
language:en
Short-container-title:Biotech & Bioengineering

Author:

Yan Hongxiang¹^ORCID,Wigmosta Mark S.¹²^ORCID,Huesemann Michael H.³,Sun Ning¹^ORCID,Gao Song³^ORCID

Affiliation:

1. Pacific Northwest National Laboratory Richland Washington USA

2. Department of Civil and Environmental Engineering University of Washington Seattle Washington USA

3. Marine and Coastal Research Laboratory, Pacific Northwest National Laboratory Sequim Washington USA

Publisher

Wiley

Subject

Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/bit.28272

Reference61 articles.

1. Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo

2. Remote Sensing of Drought: Vegetation, Soil Moisture, and Data Assimilation

3. Advances in weather prediction

4. Traditional Microalgae Isolation Techniques

5. Models for optimization and performance evaluation of biomass supply chains: An Operations Research perspective

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