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Data · dataset · 2024

Dataset of Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations

Listed in e-cienciaDatos

Description

Dataset of the article Physics-informed neural networks for high-resolution weather reconstruction from sparse weather stations , recently published in Open Research Europe (DOI 10.12688/openreseurope.17388.1). The code which implements the physics-informed neural network can be found at github.com/AlvaroMS90/PINNs-for-high-resolution-weather-reconstruction-from-sparse-weather-stations. Funded by the European Union under action HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships, call HORIZON-MSCA-2021-PF-01 (project number 101059984 with acronym PERSEVERE).

Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

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Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
e-cienciaDatosdoi:10.5281/ZENODO.1072326111 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:ocean-atmosphericmapping · edatos consorciomadrono esconnector:edatos_consorciomadrono_es@1.0.0/subjects
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