Items where Division is "Scientific Computing" and Year is 2019

Androsov, A. , Fofonova, V. ORCID: https://orcid.org/0000-0002-5956-1844, Kuznetsov, I. ORCID: https://orcid.org/0000-0001-5910-8081, Danilov, S. ORCID: https://orcid.org/0000-0001-8098-182X, Rakowsky, N. ORCID: https://orcid.org/0000-0001-6101-0526, Harig, S. ORCID: https://orcid.org/0000-0001-6948-7409, Brix, H. and Wiltshire, K. H. ORCID: https://orcid.org/0000-0002-7148-0529 (2019)
FESOM-C v.2: coastal dynamics on hybrid unstructured meshes , doi:10.5194/gmd-12-1009-2019 , hdl:10013/epic.f44585e8-43e5-4958-ad89-d94d212216be

Androsov, A. , Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Schnur, R. , Schröter, J. ORCID: https://orcid.org/0000-0002-9240-5798, Albertella, A. , Rummel, R. , Savcenko, R. , Bosch, W. , Skachko, S. and Danilov, S. ORCID: https://orcid.org/0000-0001-8098-182X (2019)
On the assimilation of absolute geodetic dynamic topography in a global ocean model: impact on the deep ocean state , doi:10.1007/s00190-018-1151-1 , hdl:10013/epic.d1ca2b6f-2ef8-455b-b317-da8b4cd3cec3

Goodliff, M. , Bruening, T. , Schwichtenberg, F. , Li, X. , Lindenthal, A. , Lorkowski, I. and Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010 (2019)
Temperature assimilation into a coastal ocean-biogeochemical model: assessment of weakly and strongly coupled data assimilation , doi:10.1007/s10236-019-01299-7 , hdl:10013/epic.24c51779-1e5e-461a-8a63-0685220676d6

Harig, S. ORCID: https://orcid.org/0000-0001-6948-7409, Immerz, A. ORCID: https://orcid.org/0000-0002-9859-3558, Weniza, W. , Griffin, J. , Weber, B. , Babeyko, A. , Rakowsky, N. ORCID: https://orcid.org/0000-0001-6101-0526, Hartanto, D. , Nurokhim, A. , Handayani, T. and Weber, R. , Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany, Badan Meteorologi Klimatologi dan Geofisika, BMKG, Jakarta, Indonesia, Community Safety Branch, Geoscience Australia, Department of Geology, University of Otago, Dunedin, New Zealand, Gempa GmbH, Potsdam, Germany, GFZ German Research Centre for Geosciences, Potsdam, Germany (2019)
The Tsunami Scenario Database of the Indonesia Tsunami Early Warning System (InaTEWS): Evolution of the Coverage and the Involved Modeling Approaches , doi:10.1007/s00024-019-02305-1 , hdl:10013/epic.e5e15fbe-b9c2-48e5-95c2-d7796a9f74ca

John, U. ORCID: https://orcid.org/0000-0002-1297-4086, Lu, Y. , Wohlrab, S. ORCID: https://orcid.org/0000-0003-3190-0880, Groth, M. , Janouškovec, J. , Kohli, G. S. , Mark, F. C. ORCID: https://orcid.org/0000-0002-5586-6704, Bickmeyer, U. ORCID: https://orcid.org/0000-0002-5351-2902, Farhat, S. , Felder, M. , Frickenhaus, S. ORCID: https://orcid.org/0000-0002-0356-9791, Guillou, L. , Keeling, P. J. , Moustafa, A. , Porcel, B. M. , Valentin, K. U. and Glöckner, G. (2019)
An aerobic eukaryotic parasite with functional mitochondria that likely lacks a mitochondrial genome , doi:10.1126/sciadv.aav1110 , hdl:10013/epic.8d9cd139-85f5-4be3-a931-970a84cf908b

Koldunov, N. ORCID: https://orcid.org/0000-0002-3365-8146, Aizinger, V. ORCID: https://orcid.org/0000-0002-1061-3084, Rakowsky, N. ORCID: https://orcid.org/0000-0001-6101-0526, Scholz, P. ORCID: https://orcid.org/0000-0003-2692-7624, Sidorenko, D. ORCID: https://orcid.org/0000-0001-8579-6068, Danilov, S. ORCID: https://orcid.org/0000-0001-8098-182X and Jung, T. ORCID: https://orcid.org/0000-0002-2651-1293 (2019)
Scalability and some optimization of the Finite-volumE Sea ice–Ocean Model, Version 2.0 (FESOM2) , doi:10.5194/gmd-12-3991-2019 , hdl:10013/epic.7fe24b7f-8396-494b-9093-4362c1b37244

Koldunov, N. ORCID: https://orcid.org/0000-0002-3365-8146, Danilov, S. ORCID: https://orcid.org/0000-0001-8098-182X, Sidorenko, D. ORCID: https://orcid.org/0000-0001-8579-6068, Hutter, N. ORCID: https://orcid.org/0000-0003-3450-9422, Losch, M. ORCID: https://orcid.org/0000-0002-3824-5244, Goessling, H. ORCID: https://orcid.org/0000-0001-9018-1383, Rakowsky, N. ORCID: https://orcid.org/0000-0001-6101-0526, Scholz, P. ORCID: https://orcid.org/0000-0003-2692-7624, Sein, D. ORCID: https://orcid.org/0000-0002-1190-3622, Wang, Q. ORCID: https://orcid.org/0000-0002-2704-5394 and Jung, T. ORCID: https://orcid.org/0000-0002-2651-1293 (2019)
Fast EVP Solutions in a High‐Resolution Sea Ice Model , doi:10.1029/2018MS001485 , hdl:10013/epic.c1206479-34b5-49be-962f-4e1edf7112a3

Li, H. ORCID: https://orcid.org/0000-0002-3359-8251, Monteiro, C. , Heinrich, S. , Bartsch, I. ORCID: https://orcid.org/0000-0001-7609-2149, Valentin, K. , Harms, L. ORCID: https://orcid.org/0000-0001-7620-0613, Glöckner, G. , Corre, E. and Bischof, K. (2019)
Responses of the kelp Saccharina latissima (Phaeophyceae) to the warming Arctic: from physiology to transcriptomics , doi:10.1111/ppl.13009 , hdl:10013/epic.8c2641ae-19e6-494c-89c0-78776851e6b6

Liang, X. , Losch, M. ORCID: https://orcid.org/0000-0002-3824-5244, Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Mu, L. ORCID: https://orcid.org/0000-0001-5668-8025, Yang, Q. and Liu, C. (2019)
Using Sea Surface Temperature Observations to Constrain Upper Ocean Properties in an Arctic Sea Ice‐Ocean Data Assimilation System , doi:10.1029/2019JC015073 , hdl:10013/epic.daa1133d-ee4b-4ecd-baa9-85c62d3f3d8e

Liu, J. , Chen, Z. , Hu, Y. , Zhang, Y. , Ding, Y. , Cheng, X. , Yang, Q. , Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Spreen, G. , Horton, R. , Inoue, J. , Yang, C. and Li, M. (2019)
Towards reliable Arctic sea ice prediction using multivariate data assimilation , doi:10.1016/j.scib.2018.11.018 , hdl:10013/epic.4601e534-f780-4995-8f2b-71bd3905c736

Pradhan, H. K. ORCID: https://orcid.org/0000-0002-5642-8490, Voelker, C. ORCID: https://orcid.org/0000-0003-3032-114X, Bracher, A. ORCID: https://orcid.org/0000-0003-3025-5517, Losa, S. N. ORCID: https://orcid.org/0000-0003-2153-1954 and Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010 (2019)
Assimilation of Global Total Chlorophyll OC‐CCI Data and Its Impact on Individual Phytoplankton Fields , doi:10.1029/2018JC014329 , hdl:10013/epic.88e8fbd5-1c8e-450f-a7a4-47d68495278f

Reintjes, G. , Tegetmeyer, H. E. , Bürgisser, M. , Orlic, S. , Tews, I. , Zubkov, M. , Voß, D. , Zielinski, O. , Quast, C. , Glöckner, F. O. ORCID: https://orcid.org/0000-0001-8528-9023, Amann, R. , Ferdelman, T. G. and Fuchs, B. M. (2019)
On-Site Analysis of Bacterial Communities of the Ultraoligotrophic South Pacific Gyre , doi:10.1128/AEM.00184-19 , hdl:10013/epic.0d41f055-50f5-4eca-81a1-a9070c84e349

Scholz, P. ORCID: https://orcid.org/0000-0003-2692-7624, Sidorenko, D. ORCID: https://orcid.org/0000-0001-8579-6068, Gurses, O. ORCID: https://orcid.org/0000-0002-0646-5760, Danilov, S. ORCID: https://orcid.org/0000-0001-8098-182X, Koldunov, N. ORCID: https://orcid.org/0000-0002-3365-8146, Wang, Q. ORCID: https://orcid.org/0000-0002-2704-5394, Sein, D. ORCID: https://orcid.org/0000-0002-1190-3622, Smolentseva, M. ORCID: https://orcid.org/0000-0002-0961-6325, Rakowsky, N. ORCID: https://orcid.org/0000-0001-6101-0526 and Jung, T. ORCID: https://orcid.org/0000-0002-2651-1293 (2019)
Assessment of the Finite-volumE Sea ice-Ocean Model (FESOM2.0) - Part 1: Description of selected key model elements and comparison to its predecessor version , doi:10.5194/gmd-12-4875-2019 , hdl:10013/epic.55b3c20c-ffda-484a-9462-bb750fb26cdb

Sidorenko, D. ORCID: https://orcid.org/0000-0001-8579-6068, Goessling, H. F. ORCID: https://orcid.org/0000-0001-9018-1383, Koldunov, N. ORCID: https://orcid.org/0000-0002-3365-8146, Scholz, P. ORCID: https://orcid.org/0000-0003-2692-7624, Danilov, S. ORCID: https://orcid.org/0000-0001-8098-182X, Barbi, D. ORCID: https://orcid.org/0000-0002-5053-1788, Cabos, W. , Gurses, O. ORCID: https://orcid.org/0000-0002-0646-5760, Harig, S. ORCID: https://orcid.org/0000-0001-6948-7409, Hinrichs, C. ORCID: https://orcid.org/0000-0001-5668-9167, Juricke, S. , Lohmann, G. ORCID: https://orcid.org/0000-0003-2089-733X, Losch, M. ORCID: https://orcid.org/0000-0002-3824-5244, Mu, L. ORCID: https://orcid.org/0000-0001-5668-8025, Rackow, T. ORCID: https://orcid.org/0000-0002-5468-575X, Rakowsky, N. ORCID: https://orcid.org/0000-0001-6101-0526, Sein, D. ORCID: https://orcid.org/0000-0002-1190-3622, Semmler, T. ORCID: https://orcid.org/0000-0002-2254-4901, Shi, X. ORCID: https://orcid.org/0000-0001-7793-9639, Stepanek, C. ORCID: https://orcid.org/0000-0002-3912-6271, Streffing, J. ORCID: https://orcid.org/0000-0001-9515-3322, Wang, Q. ORCID: https://orcid.org/0000-0002-2704-5394, Wekerle, C. ORCID: https://orcid.org/0000-0001-9985-0950, Yang, H. ORCID: https://orcid.org/0000-0003-2054-2256 and Jung, T. ORCID: https://orcid.org/0000-0002-2651-1293 (2019)
Evaluation of FESOM2.0 Coupled to ECHAM6.3: Preindustrial and HighResMIP Simulations , doi:10.1029/2019MS001696 , hdl:10013/epic.8fe42c6b-84e5-48a6-9acd-bf4e45e4dbcd

Wohlrab, S. ORCID: https://orcid.org/0000-0003-3190-0880, John, U. ORCID: https://orcid.org/0000-0002-1297-4086, Klemm, K. , Eberlein, T. , Grivogiannis, A. M. F. , Krock, B. ORCID: https://orcid.org/0000-0003-4022-9101, Frickenhaus, S. ORCID: https://orcid.org/0000-0002-0356-9791, Bach, L. T. , Rost, B. ORCID: https://orcid.org/0000-0001-5452-5505, Riebesell, U. and de Waal, D. B. V. (2019)
Ocean acidification increases domoic acid contents during a spring to summer succession of coastal phytoplankton , doi:10.1016/j.hal.2019.101697 , hdl:10013/epic.e1d4ede9-1339-48a0-b43e-0f389529d506

Zimmermann, H. ORCID: https://orcid.org/0000-0002-0225-5176, Harms, L. ORCID: https://orcid.org/0000-0001-7620-0613, Epp, L. ORCID: https://orcid.org/0000-0002-2230-9477, Mewes, N. , Bernhardt, N. , Kruse, S. ORCID: https://orcid.org/0000-0003-1107-1958, Stoof-Leichsenring, K. ORCID: https://orcid.org/0000-0002-6609-3217, Pestryakova, L. A. , Wieczorek, M. ORCID: https://orcid.org/0000-0002-3180-1607, Trense, D. and Herzschuh, U. ORCID: https://orcid.org/0000-0003-0999-1261 (2019)
Chloroplast and mitochondrial genetic variation of larches at the Siberian tundra-taiga ecotone revealed by de novo assembly , doi:10.1371/journal.pone.0216966 , hdl:10013/epic.35cbeb05-050d-4140-a6ca-0cc3d5bf0c66

van Leeuwen, P. J. , Künsch, H. R. , Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Potthast, R. and Reich, S. (2019)
Particle filters for high‐dimensional geoscience applications: A review , doi:10.1002/qj.3551 , hdl:10013/epic.ca49a2c9-193d-4578-a010-723ce59f5de0

Scheliga, K. , Pampel, H. , Konrad, U. , Fritzsch, B. ORCID: https://orcid.org/0000-0002-0690-7151, Schlauch, T. , Nolden, M. , zu Castell, W. , Finke, A. , Hammitzsch, M. , Bertuch, O. and Denker, M. (2019)
Dealing with research software: recommendations for best practices , doi:10.2312/os.helmholtz.003 , hdl:10013/epic.69aa9862-fd0a-4965-a526-b9b91d0ecdd4

Frickenhaus, S. ORCID: https://orcid.org/0000-0002-0356-9791 (2019)
Datenkompetenzen aus Sicht der Forschung , doi:10.5446/43593 , hdl:10013/epic.b259bbfe-f976-4d88-ac69-ad1670daea7e

Fritzsch, B. ORCID: https://orcid.org/0000-0002-0690-7151 , AWI (2019)
Research software landscape and stakeholders , hdl:10013/epic.61c271f2-63a4-4d46-9011-c2bfb2b3159a

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010 (2019)
Data Assimilation Methodology - an Introduction , hdl:10013/epic.b82f1b26-7a20-460e-b286-d8cd14fff496

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010 (2019)
Ensemble Data Assimilation - an Introduction , hdl:10013/epic.6265923e-96c1-4748-8129-4f48adc95bdc

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010 (2019)
Ensemble Data Assimilation: Algorithms - Applications - Software , hdl:10013/epic.7ead9ad5-64da-418c-a2b0-55202bc6dd2a

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Broadbridge, M. , Geppert, G. and van Leeuwen, P. J. (2019)
Short Course SC1.1: Data Assimilation in the Geosciences - Practical Data Assimilation with the Parallel Data Assimilation Framework , hdl:10013/epic.c0675227-f895-43c1-973c-6393f6164873

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Kirchgessner, P. and Liang, X. (2019)
Efficient Ensemble-Based Data Assimilation for High-Dimensional Models with the Parallel Data Assimilation Framework PDAF , hdl:10013/epic.ce22131b-cc77-42d9-a186-22ab393f6c20

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Pradhan, H. K. ORCID: https://orcid.org/0000-0002-5642-8490 and Goodliff, M. (2019)
Coupled Data Assimilation for Ocean-Biogeochemical Models , hdl:10013/epic.19d967af-4666-47a2-a0c5-d09f8165dbec

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Tang, Q. and Goodliff, M. (2019)
Ensemble Data Assimilation for Coupled Models of the Earth System , hdl:10013/epic.8ea27d3b-6bc6-4dc3-b325-f7ca5a059e34

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Tang, Q. and Goodliff, M. (2019)
Ensemble Data Assimilation for Coupled Models of the Earth System , hdl:10013/epic.9ac1c00f-8597-4b16-98ef-7fd6df581219

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Tang, Q. and Goodliff, M. (2019)
Ensemble Data Assimilation for Coupled Models of the Earth System , hdl:10013/epic.2509cb5f-3c24-4efd-a297-c3e25fed66b3

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Tang, Q. , Mu, L. ORCID: https://orcid.org/0000-0001-5668-8025 and Goodliff, M. (2019)
Ensemble Data Assimilation for Coupled Models of the Earth System , hdl:10013/epic.ea9f649f-9278-42d2-a6ec-5a29150eeed7

Nerger, L. ORCID: https://orcid.org/0000-0002-1908-1010, Tang, Q. , Mu, L. ORCID: https://orcid.org/0000-0001-5668-8025 and Sidorenko, D. ORCID: https://orcid.org/0000-0001-8579-6068 (2019)
Building an Efficient Ensemble Data Assimilation System for Coupled Models with the Parallel Data Assimilation Framework , hdl:10013/epic.6abcc9d6-3794-40ab-bbd1-478a1c3ad354

Semmler, T. ORCID: https://orcid.org/0000-0002-2254-4901, Danilov, S. ORCID: https://orcid.org/0000-0001-8098-182X, Rackow, T. ORCID: https://orcid.org/0000-0002-5468-575X, Sidorenko, D. ORCID: https://orcid.org/0000-0001-8579-6068, Barbi, D. ORCID: https://orcid.org/0000-0002-5053-1788, Hegewald, J. ORCID: https://orcid.org/0000-0002-3675-0968, Pradhan, H. K. ORCID: https://orcid.org/0000-0002-5642-8490, Sein, D. ORCID: https://orcid.org/0000-0002-1190-3622, Wang, Q. ORCID: https://orcid.org/0000-0002-2704-5394 and Jung, T. ORCID: https://orcid.org/0000-0002-2651-1293 (2019)
AWI-CM-1.1-MR model output prepared for CMIP6 ScenarioMIP: links to SSP126, SSP245, SSP370, and SSP585 scenarios , doi:10.22033/ESGF/CMIP6.376 , hdl:10013/epic.e77bf12f-2a81-4914-bd16-d4fcaebb7456

Koch, B. P. ORCID: https://orcid.org/0000-0002-8453-731X, Leefmann, T. and Frickenhaus, S. ORCID: https://orcid.org/0000-0002-0356-9791 (2019)
UltraMassExplorer: a browser-based application for the evaluation of high-resolution mass spectrometric data doi:10.1002/rcm.8315 , hdl:10013/epic.f4d90433-89c4-4d12-92b3-52c2dfb2dd0e