Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Madlen Kimmritz"'
Publikováno v:
Weather and Forecasting.
Dynamical climate predictions are produced by assimilating observations and running ensemble simulations of Earth system models. This process is time-consuming and by the time the forecast is delivered, new observations are already available, making
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eca8cf177b0b4369d38f5b6662226a31
https://doi.org/10.1175/waf-d-22-0166.1
https://doi.org/10.1175/waf-d-22-0166.1
Autor:
Einar Ólason, Guillaume Boutin, Anton Korosov, Pierre Rampal, Timothy Williams, Madlen Kimmritz, Véronique Dansereau, Abdoulaye Samaké
Publikováno v:
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems, 2022, 14, ⟨10.1029/2021ms002685⟩
Journal of Advances in Modeling Earth Systems, 2022, 14, ⟨10.1029/2021ms002685⟩
International audience; The drift and deformation of sea ice is a key aspect of the overall state of the ice cover. Large-scale drift redistributes ice, affecting where it forms, melts, and is collected, while small scale deformation opens up leads a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c26c14374dd4948fafe2f089179917a0
https://doi.org/10.1029/2021ms002685
https://doi.org/10.1029/2021ms002685
Autor:
Pierre Rampal, Anton Korosov, Guillaume Boutin, Madlen Kimmritz, Abdoulaye Samaké, Timothy Williams, Einar Olason, Véronique Dansereau
We present a new brittle rheology and an accompanying numerical framework for large-scale sea-ice modelling. We have based this rheology on a Bingham-Maxwell constitutive model and the Maxwell-Elasto-Brittle (MEB) rheology for sea ice. The key streng
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1c0c4c48069597efc69c18533d78823
https://doi.org/10.1002/essoar.10507977.3
https://doi.org/10.1002/essoar.10507977.3
Autor:
Madlen Kimmritz, Tor Eldevik, Helene R. Langehaug, Ingo Bethke, Marius Årthun, Leilane Passos
The skilful prediction of climatic conditions on a forecast horizon of months to decades into the future remains a main scientific challenge of large societal benefit. Here we assess the hindcast skill of the Norwegian Climate Prediction Model (NorCP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59c8d84f17c8a8b550a4bef5738653dc
https://doi.org/10.21203/rs.3.rs-766415/v1
https://doi.org/10.21203/rs.3.rs-766415/v1
Autor:
Yongqi Gao, Lea Svendsen, Madlen Kimmritz, Yiguo Wang, Francois Counillon, Stephanie Gleixner, Panxi Dai, Noel Keenlyside
Publikováno v:
Climate Dynamics
This study demonstrates that assimilating SST with an advanced data assimilation method yields prediction skill level with the best state-of-the-art systems. We employ the Norwegian Climate Prediction Model (NorCPM)—a fully-coupled forecasting syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5682cbcad8868d08b71d486f1613d9a
https://doi.org/10.1007/s00382-019-04897-9
https://doi.org/10.1007/s00382-019-04897-9
Autor:
Helene R. Langehaug, Alok Kumar Gupta, Leilane Passos, Tor Eldevik, Øyvind Seland, Lea Svendsen, Francois Counillon, Alf Kirkevåg, Julie Solsvik Vågane, Filippa Fransner, Madlen Kimmritz, Noel Keenlyside, Yuanchao Fan, Jerry Tjiputra, Yiguo Wang, Ping-Gin Chiu, Mats Bentsen, Annette Samuelsen, Chuncheng Guo, Dirk Jan Leo Oliviè, Ingo Bethke
Publikováno v:
Geoscientific Model Development
Geoscientific Model Development, Vol 14, Pp 7073-7116 (2021)
Geoscientific Model Development, Vol 14, Pp 7073-7116 (2021)
The Norwegian Climate Prediction Model version 1 (NorCPM1) is a new research tool for performing climate reanalyses and seasonal-to-decadal climate predictions. It combines the Norwegian Earth System Model version 1 (NorESM1) – which features inter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e1b193eb8191ea70ea74665cbabbbed
https://hdl.handle.net/11250/2976241
https://hdl.handle.net/11250/2976241
Publikováno v:
Ocean Modelling. 115:59-69
Recent developments of the explicit elastic-viscous-plastic (EVP) solvers call for a new comparison with implicit solvers for the equations of viscous-plastic sea ice dynamics. In Arctic sea ice simulations, the modified and the adaptive EVP solvers,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::963aa08c484047b1fbcb52f56d793f67
https://doi.org/10.1016/j.ocemod.2017.05.006
https://doi.org/10.1016/j.ocemod.2017.05.006
Autor:
Noel Keenlyside, Ingo Bethke, Lars Henrik Smedsrud, Francois Counillon, Yiguo Wang, Fumiaki Ogawa, Madlen Kimmritz
Publikováno v:
Journal of Advances in Modeling Earth Systems
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 12, Pp 4147-4166 (2019)
Journal of Advances in Modeling Earth Systems, Vol 11, Iss 12, Pp 4147-4166 (2019)
There is a growing demand for skillful prediction systems in the Arctic. Using the Norwegian Climate Prediction Model that combines the fully coupled Norwegian Earth System Model and the Ensemble Kalman filter, we present a system that performs both,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ed6ea2aea07d92f9db0c844dbb784bd
https://hdl.handle.net/1956/23589
https://hdl.handle.net/1956/23589
Publikováno v:
EPIC3Ocean Modelling, ELSEVIER SCI LTD, ISSN: 1463-5003
Stability and convergence of the modified EVP implementation of the visco-plastic sea ice rheology by Bouillon et al., Ocean Modell., 2013, is analyzed on B- and C-grids. It is shown that the implementation on a B-grid is less restrictive with respec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c36d72cd457e84f2b7a9cf5252b0bfce
https://doi.org/10.1016/j.ocemod.2016.03.004
https://doi.org/10.1016/j.ocemod.2016.03.004
Publikováno v:
Journal of Computational Physics. 296:90-100
Most dynamic sea ice models for climate type simulations are based on the viscous-plastic (VP) rheology. The resulting stiff system of partial differential equations for ice velocity is either solved implicitly at great computational cost, or explici
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b411f44faf4c74c35dbc1fd53a3ac89
https://doi.org/10.1016/j.jcp.2015.04.051
https://doi.org/10.1016/j.jcp.2015.04.051