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Collaborations and top research areas from the last five years
Projects
- 1 Active
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Demonstrating parameter estimation with ensemble-based DA
Serafin, S. (Project Lead) & Weißmann, M. (Co-Lead)
1/03/24 → 29/02/28
Project: Research funding
Publications
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Can ensemble‐based parameter estimation aid parameterization design?
Serafin, S. & Weissmann, M., 26 Jun 2025, In: Quarterly Journal of the Royal Meteorological Society.Publications: Contribution to journal › Article › Peer Reviewed
Open Access -
Deriving WMO Cloud Classes From Ground‐Based RGB Pictures With a Residual Neural Network Ensemble
Rosenberger, M., Dorninger, M. & Weissmann, M., May 2025, In: Earth and Space Science. 12, 5, 22 p., e2024EA004112.Publications: Contribution to journal › Article › Peer Reviewed
Open Access -
Effects of observation operator nonlinearity on the assimilation of visible and infrared radiances in ensemble data assimilation
Kugler, L. & Weissmann, M., 9 Mar 2025, In: Quarterly Journal of the Royal Meteorological Society. 151, 770, 14 p., e4970.Publications: Contribution to journal › Article › Peer Reviewed
Open Access
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Utilizing a residual neural network ensemble for ground-based cloud classifications
Rosenberger, M. (Speaker), Dorninger, M. (Contributor) & Weißmann, M. (Contributor)
30 Apr 2025Activity: Talks and presentations › Poster presentation › Science to Science
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The assimilation of surface observations in mountainous terrain in the WRFDA system
Doglioni, G. (Speaker), Serafin, S. (Contributor), Weißmann, M. (Contributor), Ferrari, G. (Contributor) & Zardi, D. (Contributor)
2024Activity: Talks and presentations › Poster presentation › Science to Science
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Testing ensemble-based estimates of potential observation impact
Griewank, P. (Speaker), Necker, T. (Contributor) & Weißmann, M. (Contributor)
2024Activity: Talks and presentations › Talk or oral contribution › Science to Science