المؤلفون: Leandro B. Díaz, Carla Gulizia, Shipra Jain, Gaby S. Langendijk, Hindumathi Palanisamy, Valentina Rabanal, Candice S. Charlton, Alima Dajuma, Felix K. Donkor, Temitope S. Egbebiyi, Ghafi Kondi Akara, Amna Jrrar, Md Rezwan Siddiqui, Yassine Ait Brahim, Bapentire D. Angnuureng, Anna-Adriana Anschütz, Founi M. Awo, Alejandro Builes-Jaramillo, Alison Cobb, Mohamadou A. Diallo, Houda Er-Retby, Thierry C. Fotso-Nguemo, Benjamin Gwinneth, Masilin Gudoshava, Franck E. Kemgang Ghomsi, Inés M. Leyba, Redouane Lguensat, Roché Mahon, Shailendra K. Mandal, Lucia Mumo, Meshel Muzuva, Rodric M. Nonki, Juan A. Rivera, Alcade C. Segnon, Laouali I. Tanimoune, Erlich-Honest E. I. Zauisomue, Gilbert Siame

المصدر: Frontiers in Climate, Vol 6 (2025)

مصطلحات موضوعية: global south, kilometer-scale modeling, co-production of climate services, machine learning, diversity, equity, Environmental sciences, GE1-350

وصف الملف: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fclim.2024.1501216/full; https://doaj.org/toc/2624-9553

URL الوصول: https://doaj.org/article/36d559b8d5de4c329b86fcaaa85749f7

المؤلفون: Maike Sonnewald, Krissy Anne Reeve, Redouane Lguensat

المصدر: Communications Earth & Environment, Vol 4, Iss 1, Pp 1-20 (2023)

مصطلحات موضوعية: Geology, QE1-996.5, Environmental sciences, GE1-350

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2662-4435

URL الوصول: https://doaj.org/article/08ab4945d8e8439290f7db2af4d24023

المؤلفون: Redouane Lguensat, Julie Deshayes, Homer Durand, Venkatramani Balaji

المصدر: Journal of Advances in Modeling Earth Systems, Vol 15, Iss 5, Pp n/a-n/a (2023)

مصطلحات موضوعية: model tuning, Gaussian processes, surrogate modeling, history matching, Lorenz 96, uncertainty quantification, Physical geography, GB3-5030, Oceanography, GC1-1581

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1942-2466

URL الوصول: https://doaj.org/article/d7276765a02e4d6bba8864948fd1969d

المؤلفون: Mariana C. A. Clare, Maike Sonnewald, Redouane Lguensat, Julie Deshayes, V. Balaji

المصدر: Journal of Advances in Modeling Earth Systems, Vol 14, Iss 11, Pp n/a-n/a (2022)

مصطلحات موضوعية: deep learning, changing climate, dynamical ocean regimes, Bayesian Neural Networks, explainable AI, interpretability, Physical geography, GB3-5030, Oceanography, GC1-1581

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1942-2466

URL الوصول: https://doaj.org/article/878d46663d5e47198bac009170510a97

المؤلفون: Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat

المصدر: Journal of Advances in Modeling Earth Systems, Vol 14, Iss 11, Pp n/a-n/a (2022)

مصطلحات موضوعية: parametrization, machine learning, turbulence, quasi‐geostrophic, Physical geography, GB3-5030, Oceanography, GC1-1581

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1942-2466

URL الوصول: https://doaj.org/article/7888d97061b64596a2f253884b51874e

المؤلفون: Driss Bari, Nabila Lasri, Rania Souri, Redouane Lguensat

المصدر: Atmosphere, Vol 14, Iss 6, p 953 (2023)

مصطلحات موضوعية: FLS, deep learning, optical flow, Meteosat SEVIRI, fog, Meteorology. Climatology, QC851-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2073-4433/14/6/953; https://doaj.org/toc/2073-4433

URL الوصول: https://doaj.org/article/cdc41722057d4910ac45fd3cde358f1e

المؤلفون: Maike Sonnewald, Redouane Lguensat

المصدر: Journal of Advances in Modeling Earth Systems, Vol 13, Iss 8, Pp n/a-n/a (2021)

مصطلحات موضوعية: oceanography, transparent machine learning, climate modeling, explainable and interpretable AI, global heating, North Atlantic Ocean, Physical geography, GB3-5030, Oceanography, GC1-1581

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1942-2466

URL الوصول: https://doaj.org/article/fafb76437f244bffa9b51e31db03a57f

المؤلفون: Yuting Yang, Kin-Man Lam, Xin Sun, Junyu Dong, Redouane Lguensat

المصدر: Remote Sensing, Vol 14, Iss 2, p 259 (2022)

مصطلحات موضوعية: remote sensing, video signal process, sea surface, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/14/2/259; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/b16ae5a145e647db9aaab6600c223492

المؤلفون: Maike Sonnewald, Redouane Lguensat, Daniel C Jones, Peter D Dueben, Julien Brajard, V Balaji

المصدر: Environmental Research Letters, Vol 16, Iss 7, p 073008 (2021)

مصطلحات موضوعية: ocean science, physical oceanography, observations, theory, modelling, supervised machine learning, Environmental technology. Sanitary engineering, TD1-1066, Environmental sciences, GE1-350, Science, Physics, QC1-999

وصف الملف: electronic resource

Relation: https://doaj.org/toc/1748-9326

URL الوصول: https://doaj.org/article/ffbea563a55f4d5ebfd710d8e54c94e7

المؤلفون: Redouane Lguensat, Phi Huynh Viet, Miao Sun, Ge Chen, Tian Fenglin, Bertrand Chapron, Ronan Fablet

المصدر: Remote Sensing, Vol 11, Iss 7, p 858 (2019)

مصطلحات موضوعية: analog data assimilation, sea level anomaly, sea surface height, interpolation, data-driven methods, Science

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2072-4292/11/7/858; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/5c73ab2e7a514c8791bf99d291a236ba

المؤلفون: Ronan Fablet, Phi Huynh Viet, Redouane Lguensat, Pierre-Henri Horrein, Bertrand Chapron

المصدر: Remote Sensing, Vol 10, Iss 2, p 310 (2018)

مصطلحات موضوعية: ocean remote sensing data, data assimilation, optimal interpolation, analog models, multi-scale decomposition, patch-based representation, Science

وصف الملف: electronic resource

Relation: http://www.mdpi.com/2072-4292/10/2/310; https://doaj.org/toc/2072-4292

URL الوصول: https://doaj.org/article/17366d3049bf42809cea55c47fde282b

المؤلفون: Maike Sonnewald, Krissy A. Reeve, Redouane Lguensat

مصطلحات موضوعية: Oceanography, Southern Ocean, Unsupervised Machine Learning

Relation: https://doi.org/10.5281/zenodo.7783325; https://doi.org/10.5281/zenodo.7783326; oai:zenodo.org:7783326

الاتاحة: https://doi.org/10.5281/zenodo.7783326

المؤلفون: Jordi Bolibar, Facundo Sapienza, Fabien Maussion, Redouane Lguensat, Fernando Pérez, Bert Wouters

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::838e0e3b3975cf5cc4a02d35b9cd269a
https://doi.org/10.5194/egusphere-egu23-5137

المؤلفون: Redouane Lguensat, Julie Deshayes, Venkatramani Balaji

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::a55a3509f398271a5099771dd677879e
https://doi.org/10.5194/egusphere-egu22-11420

المؤلفون: Hugo Frezat, Julien Le Sommer, Ronan Fablet, Guillaume Balarac, Redouane Lguensat

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::072dec5ce40ba7d44552520d49616db1
https://doi.org/10.5194/egusphere-egu22-3977

المؤلفون: Redouane Lguensat

المصدر: La Météorologie. :011

مصطلحات موضوعية: General Medicine

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::fdd8300a675c1f75994320da0fcbbb1d
https://doi.org/10.37053/lameteorologie-2023-0030

المؤلفون: Redouane Lguensat, zouberou-sayibou, Aparna Radhakrishnan, Maike Sonnewald, Mariana Clare

Relation: https://github.com/maikejulie/DNN4Cli/tree/v0.2; https://doi.org/10.5281/zenodo.5071336; https://doi.org/10.5281/zenodo.6479249; oai:zenodo.org:6479249

الاتاحة: https://doi.org/10.5281/zenodo.6479249

المؤلفون: Redouane Lguensat

Relation: https://github.com/HRMES-MOPGA/L96HistoryMatching/tree/v0.2.0; https://doi.org/10.5281/zenodo.7021853; https://doi.org/10.5281/zenodo.7384270; oai:zenodo.org:7384270

الاتاحة: https://doi.org/10.5281/zenodo.7384270

المؤلفون: Redouane Lguensat

Relation: https://github.com/HRMES-MOPGA/L96HistoryMatching/tree/v0.1.0; https://doi.org/10.5281/zenodo.7021853; https://doi.org/10.5281/zenodo.7021854; oai:zenodo.org:7021854

الاتاحة: https://doi.org/10.5281/zenodo.7021854

المؤلفون: Redouane Lguensat, Yuting Yang, Xin Sun, Xirong Lu, Junyu Dong, Meng Zhang

المساهمون: Ocean University of China: Qingdao, Shandong, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ANR-17-MPGA-0010,HRMES,High-Resolution Modeling of the Earth System(2017)

المصدر: IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2021, 59 (9), pp.7224-7234. ⟨10.1109/TGRS.2020.3032523⟩
IEEE Transactions on Geoscience and Remote Sensing, 2021, 59 (9), pp.7224-7234. ⟨10.1109/TGRS.2020.3032523⟩

مصطلحات موضوعية: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, Radar tracker, business.industry, Computer science, Deep learning, 0211 other engineering and technologies, 02 engineering and technology, Sea-surface height, Visualization, Ocean dynamics, Eddy, 13. Climate action, Benchmark (surveying), Marine energy, General Earth and Planetary Sciences, 14. Life underwater, Artificial intelligence, Electrical and Electronic Engineering, business, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment, 021101 geological & geomatics engineering, Remote sensing

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::613d8c724686b91599c71a70310bd858
https://hal.archives-ouvertes.fr/hal-03341554