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Structure: Internal structure identifier : 131288

Narrowing uncertainties in climate projections using data science tools

Pierre Tandeo , Pierre Ailliot , Christophe Bello , Bertrand Chapron , Trang Chau et al.
3rd joint RIKEN & IMT-Atlantique workshop on Statistical Modeling and Machine Learning in Meteorology and Oceanography, Apr 2021, Brest, France
Conference papers hal-03279029v1
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Improved limit to the diffuse flux of ultrahigh energy neutrinos from the Pierre Auger Observatory

A. Aab , P. Abreu , M. Aglietta , E. j. Ahn , I. Al Samarai et al.
Physical Review D, 2015, 91, pp.092008. ⟨10.1103/PhysRevD.91.092008⟩
Journal articles hal-02467626v1

Machine learning-based uncertainty quantification for data assimilation: a simple model experiment

Juan Ruiz , Maximiliano Sacco , Yicun Zhen , Pierre Tandeo , Manuel Pulido et al.
European Geosciences Union, Apr 2021, Vienne, Austria. ⟨10.5194/egusphere-egu21-9254⟩
Conference papers hal-03279041v1
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Analog Data Assimilation for the Selection of Suitable General Circulation Models

Juan Ruiz , Pierre Ailliot , Pierre Le Bras , Valérie Monbet , Florian Sévellec et al.
2022
Preprints, Working Papers, ... hal-03685531v1
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Altimetry for the future: Building on 25 years of progress

Saleh Abdalla , Abdolnabi Abdeh Kolahchi , Michaël Ablain , Susheel Adusumilli , Suchandra Aich Bhowmick et al.
Advances in Space Research, 2021, 68 (2), pp.319-363. ⟨10.1016/j.asr.2021.01.022⟩
Journal articles insu-03215002v1
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Thorough Investigation of multipath Techniques in RPL based Wireless Networks

Ana Czarnitzki Estrin , Tomas Lagos Jenschke , Georgios Papadopoulos , J Ignacio Alvarez-Hamelin , Nicolas Montavont et al.
ISCC 2020: IEEE Symposium on Computers and Communications, Jul 2020, Rennes, France. ⟨10.1109/ISCC50000.2020.9219646⟩
Conference papers hal-02870764v1

Identify the dynamics of climate models using data assimilation and analog predictions

Pierre Tandeo , P. Ailliot , Christophe Bello , B. Chapron , T. Chau et al.
DataLearning Working Group, May 2021, Londres, United Kingdom
Conference papers hal-03278987v1

Narrowing uncertainties of climate projections using data science tools?

Pierre Tandeo , P. Ailliot , C. Bello , B. Chapron , T. Chau et al.
AI4Climate, Mar 2021, Paris, France
Conference papers hal-03278989v1

Toward data-driven methods in geophysics: the Analog Data Assimilation

Redouane Lguensat , Pierre Tandeo , Pierre Ailliot , Manuel Pulido , Ronan Fablet et al.
EGU 2017 : 19th EGU General Assembly, Apr 2017, Vienne, Austria
Conference papers hal-01609890v1
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Evaluation of Machine Learning Techniques for Forecast Uncertainty Quantification

Maximiliano Sacco , Juan Ruiz , Manuel Pulido , Pierre Tandeo
Quarterly Journal of the Royal Meteorological Society, In press, ⟨10.1002/qj.4362⟩
Journal articles hal-03685523v1

Estimation of the functional form of subgrid-scale parameterizations using ensemble-based data assimilation: a simple model experiment

Manuel Pulido , Guillermo Scheffler , Juan Ruiz , Magdalena Lucini , Pierre Tandeo et al.
Quarterly Journal of the Royal Meteorological Society, 2016, 142 (701), pp.2974 - 2984. ⟨10.1002/qj.2879⟩
Journal articles hal-01443992v1
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Analog data assimilation for the selection of suitable general circulation models

Juan Ruiz , Pierre Ailliot , Thi Tuyet Trang Chau , Pierre Le Bras , Valérie Monbet et al.
Geoscientific Model Development, 2022, 15, pp.7203-7220. ⟨10.5194/gmd-15-7203-2022⟩
Journal articles insu-03868833v1
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Quantification of forecast uncertainty using neural networks

Maximiliano Sacco , Yicun Zhen , Pierre Tandeo , Juan Ruiz , Manuel Pulido et al.
Climate Informatics 2020, Sep 2020, Oxford, United Kingdom
Conference papers hal-02942802v1