Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Julien Brajard"'
Publikováno v:
Environmental Data Science, Vol 3 (2024)
We have developed probabilistic models to estimate the likelihood of harmful algae presence and outbreaks along the Norwegian coast, which can help optimization of the national monitoring program and the planning of mitigation actions. We employ supp
Externí odkaz:
https://doaj.org/article/eaf7298d3606434ca922e7d6f129bbee
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 15, Iss 11, Pp n/a-n/a (2023)
Abstract The ocean circulation is modulated by meandering currents and eddies. Forecasting their evolution is a key target of operational models, but their forecast skill remains limited. We propose a machine learning approach that improves the outpu
Externí odkaz:
https://doaj.org/article/ba6e9d7a4621448b99e8526cde9a0884
Autor:
Khassoum Correa, Eric Machu, Julien Brajard, Daouda Diouf, Saïdou Moustapha Sall, Hervé Demarcq
Publikováno v:
Remote Sensing, Vol 15, Iss 14, p 3613 (2023)
The Sahara desert is a major global source of dust that is mostly transported southwest over the ocean off West Africa. The presence of this dust impacts the remote sensing of ocean surface properties. These aerosols have absorbing properties that ar
Externí odkaz:
https://doaj.org/article/15ad1dacdff04fd68dc7b941892eaef1
Autor:
Farouk Lemmouchi, Juan Cuesta, Mathieu Lachatre, Julien Brajard, Adriana Coman, Matthias Beekmann, Claude Derognat
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1510 (2023)
We present a supervised machine learning (ML) approach to improve the accuracy of the regional horizontal distribution of the aerosol optical depth (AOD) simulated by the CHIMERE chemistry transport model over North Africa and the Arabian Peninsula u
Externí odkaz:
https://doaj.org/article/c23884aa2d0043a59df453a8cd8bcd7e
Autor:
Edson Silva, François Counillon, Julien Brajard, Anton Korosov, Lasse H. Pettersson, Annette Samuelsen, Noel Keenlyside
Publikováno v:
Frontiers in Marine Science, Vol 8 (2021)
Phytoplankton blooms provide biomass to the marine trophic web, contribute to the carbon removal from the atmosphere and can be deadly when associated with harmful species. This points to the need to understand the phenology of the blooms in the Bare
Externí odkaz:
https://doaj.org/article/3b2572ffc86c488db941c52ac2d2398e
Publikováno v:
Environmental Research Letters, Vol 16, Iss 7, p 073008 (2021)
Progress within physical oceanography has been concurrent with the increasing sophistication of tools available for its study. The incorporation of machine learning (ML) techniques offers exciting possibilities for advancing the capacity and speed of
Externí odkaz:
https://doaj.org/article/ffbea563a55f4d5ebfd710d8e54c94e7
Publikováno v:
Remote Sensing, Vol 13, Iss 2, p 246 (2021)
Short- or mid-term rainfall forecasting is a major task with several environmental applications such as agricultural management or flood risk monitoring. Existing data-driven approaches, especially deep learning models, have shown significant skill a
Externí odkaz:
https://doaj.org/article/ba6d38a0f3d04de58c91531766702d86
Publikováno v:
Remote Sensing, Vol 12, Iss 13, p 2165 (2020)
A new algorithm for classification of sea ice types on Sentinel-1 Synthetic Aperture Radar (SAR) data using a convolutional neural network (CNN) is presented. The CNN is trained on reference ice charts produced by human experts and compared with an e
Externí odkaz:
https://doaj.org/article/881838aee22b4b5cafb7adde3a74dabf
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
NERSC is a non-profit research foundation established in Bergen (Norway) in 1986. Besides cutting-edge research in climate science, the NERSC has for a long time been very attentive to the working conditions, diversity, inclusion, and environmental i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e78667b4c69bcce341b1a344e14bbd6
https://doi.org/10.5194/egusphere-egu23-7601
https://doi.org/10.5194/egusphere-egu23-7601
