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Adamczyk-Chauvat, K., Vergu, E., Laroche, B., Calatayud, P.-A., Lucas, | ||
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<article_title>PDAF - the parallel data assimilation | ||
framework: experiences with Kalman filtering</article_title> | ||
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<journal_title>Use of High Performance Computing in | ||
Meteorology</journal_title> | ||
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Schröter, J. (2005). PDAF - the parallel data assimilation framework: | ||
experiences with Kalman filtering. Use of High Performance Computing in | ||
Meteorology, 63–83. | ||
https://doi.org/10.1142/9789812701831_0006</unstructured_citation> | ||
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Science</journal_title> | ||
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<issn>0021-8596</issn> | ||
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<unstructured_citation>Oerke, E.-C. (2006). Crop losses to | ||
pests. The Journal of Agricultural Science, 144(1), 31–43. | ||
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Package forExperimental Research</article_title> | ||
<author>Raanes</author> | ||
<journal_title>Journal of Open Source | ||
Software</journal_title> | ||
<issue>94</issue> | ||
<volume>9</volume> | ||
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<issn>2475-9066</issn> | ||
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Grudzien, C. (2024). DAPPER: Data Assimilation with Python: A Package | ||
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<journal_title>Environmental Modelling & | ||
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Hummel, S., Sandholt, I., Falk, A. K., Heemink, A., & Madsen, H. | ||
(2014). Data assimilation framework: Linking an open data assimilation | ||
library (OpenDA) to a widely adopted model interface (OpenMI). | ||
Environmental Modelling & Software, 57, 76–89. | ||
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