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Anzahl der Publikationen: 13
Zeitschriftenartikel
Zeng, Yuefei; Feng, Yuxuan; Lozar, Alberto de; Stephan, Klaus; Scheck, Leonhard; Khosravianghadikolaei, Kobra und Blahak, Ulrich
(2022):
Evaluating Latent-Heat-Nudging Schemes and Radar forward Operator Settings for a Convective Summer Period over Germany Using the ICON-KENDA System.
In: Remote Sensing, Bd. 14, Nr. 21
[PDF, 3MB]
Zeng, Yuefei; Li, Hong; Feng, Yuxuan; Blahak, Ulrich; de Lozar, Alberto; Luo, Jingyao und Min, Jinzhong
(2022):
Study on Sensitivity of Observation Error Statistics of Doppler Radars to the Radar forward Operator in Convective-Scale Data Assimilation.
In: Remote Sensing, Bd. 14, Nr. 15, 3685
Feng, Yuxuan; Janji, Tijana; Zeng, Yuefei; Seifert, Axel und Min, Jinzhong
(2021):
Representing Microphysical Uncertainty in Convective-Scale Data Assimilation Using Additive Noise.
In: Journal of Advances in Modeling Earth Systems, Bd. 13, Nr. 10, e2021MS002606
Janjic, Tijana und Zeng, Yuefei
(2021):
Weakly Constrained LETKF for Estimation of Hydrometeor Variables in Convective-Scale Data Assimilation.
In: Geophysical Research Letters, Bd. 48, Nr. 24, e2021GL094962
Troemel, Silke; Simmer, Clemens; Blahak, Ulrich; Blanke, Armin; Doktorowski, Sabine; Ewald, Florian; Frech, Michael; Gergely, Mathias; Hagen, Martin; Janjic, Tijana; Kalesse-Los, Heike; Kneifel, Stefan; Knote, Christoph; Mendrok, Jana; Moser, Manuel; Koecher, Gregor; Muehlbauer, Kai; Myagkov, Alexander; Pejcic, Velibor; Seifert, Patric; Shrestha, Prabhakar; Teisseire, Audrey; Terzi, Leonie von; Tetoni, Eleni; Vogl, Teresa; Voigt, Christiane; Zeng, Yuefei; Zinner, Tobias und Quaas, Johannes
(2021):
Overview: Fusion of radar polarimetry and numerical atmospheric modelling towards an improved understanding of cloud and precipitation processes.
In: Atmospheric Chemistry and Physics, Bd. 21, Nr. 23: S. 17291-17314
Zeng, Yuefei; Janjic, Tijana; Feng, Yuxuan; Blahak, Ulrich; Lozar, Alberto de; Bauernschubert, Elisabeth; Stephan, Klaus und Min, Jinzhong
(2021):
Interpreting estimated observation error statistics of weather radar measurements using the ICON-LAM-KENDA system.
In: Atmospheric Measurement Techniques, Bd. 14, Nr. 8: S. 5735-5756
Zeng, Yuefei; Lozar, Alberto de; Janjic, Tijana und Seifert, Axel
(2021):
Applying a new integrated mass-flux adjustment filter in rapid update cycling of convective-scale data assimilation for the COSMO model (v5.07).
In: Geoscientific Model Development, Bd. 14, Nr. 3: S. 1295-1307
Zeng, Yuefei; Janjic, Tijana; de Lozar, Alberto; Rasp, Stephan; Blahak, Ulrich; Seifert, Axel und Craig, George C.
(2020):
Comparison of Methods Accounting for Subgrid-Scale Model Error in Convective-Scale Data Assimilation.
In: Monthly Weather Review, Bd. 148, Nr. 6: S. 2457-2477
Zeng, Yuefei; Janjić, Tijana; Sommer, Matthias; Lozar, Alberto de; Blahak, Ulrich und Seifert, Axel
(2019):
Representation of Model Error in Convective‐Scale Data Assimilation: Additive Noise Based on Model Truncation Error.
In: Journal of Advances in Modeling Earth Systems, Bd. 11, Nr. 3: S. 752-770
[PDF, 5MB]
Zeng, Yuefei; Janjic, Tijana; Lozar, Alberto de; Blahak, Ulrich; Reich, Hendrik; Keil, Christian und Seifert, Axel
(2018):
Representation of Model Error in Convective-Scale Data Assimilation: Additive Noise, Relaxation Methods, and Combinations.
In: Journal of Advances in Modeling Earth Systems, Bd. 10, Nr. 11: S. 2889-2911
[PDF, 3MB]
Zeng, Yuefei; Janjic, Tijana; Ruckstuhl, Yvonne und Verlaan, Martin
(2017):
Ensemble-type Kalman filter algorithm conserving mass, total energy and enstrophy.
In: Quarterly Journal of the Royal Meteorological Society, Bd. 143, Nr. 708: S. 2902-2914
Zeng, Yuefei und Janjić, Tijana
(2016):
Study of conservation laws with the Local Ensemble Transform Kalman Filter.
In: Quarterly Journal of the Royal Meteorological Society, Bd. 142, Nr. 699: S. 2359-2372
Zeng, Yuefei; Blahak, Ulrich und Jerger, Dorit
(2016):
An efficient modular volume-scanning radar forward operator for NWP models: description and coupling to the COSMO model.
In: Quarterly Journal of the Royal Meteorological Society, Bd. 142, Nr. 701: S. 3234-3256