A data-driven approach to precipitation parameterizations using convolutional encoder-decoder neural networks

Autor: Larraondo, Pablo Rozas, Renzullo, Luigi J., Inza, Inaki, Lozano, Jose A.

Numerical Weather Prediction (NWP) models represent sub-grid processes using parameterizations, which are often complex and a major source of uncertainty in weather forecasting. In this work, we devise a simple machine learning (ML) methodology to le

Externí odkaz: http://arxiv.org/abs/1903.10274

Protein disulfide isomerase ERp57 protects early muscle denervation in experimental ALS

Autor: Pablo Rozas, Cristina Pinto, Francisca Martínez Traub, Rodrigo Díaz, Viviana Pérez, Daniela Becerra, Patricia Ojeda, Jorge Ojeda, Madison T. Wright, Jessica Mella, Lars Plate, Juan Pablo Henríquez, Claudio Hetz, Danilo B. Medinas

Publikováno v: Acta Neuropathologica Communications, Vol 9, Iss 1, Pp 1-17 (2021)

Abstract Amyotrophic lateral sclerosis (ALS) is a progressive fatal neurodegenerative disease that affects motoneurons. Mutations in superoxide dismutase 1 (SOD1) have been described as a causative genetic factor for ALS. Mice overexpressing ALS-link

Externí odkaz: https://doaj.org/article/c57fbc2a7aa8401fb63f027829c4e9a4

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Woody vegetation cover, height and biomass at 25-m resolution across Australia derived from multiple site, airborne and satellite observations

Autor: Zhanmang Liao, Albert I.J.M. Van Dijk, Binbin He, Pablo Rozas Larraondo, Peter F. Scarth

Publikováno v: International Journal of Applied Earth Observations and Geoinformation, Vol 93, Iss , Pp 102209- (2020)

Detailed spatial information on the presence and properties of woody vegetation serves many purposes, including carbon accounting, environmental reporting and land management. Here, we investigated whether machine learning can be used to combine mult

Externí odkaz: https://doaj.org/article/cd91a00f57b649ce9cb8be1cf9268734

MSWX: Global 3-Hourly 0.1° Bias-Corrected Meteorological Data Including Near-Real-Time Updates and Forecast Ensembles

Autor: Tim R. McVicar, Albert van Dijk, Pablo Rozas Larraondo, Ming Pan, Diego G. Miralles, Hylke E. Beck, Emanuel Dutra

Publikováno v: Bulletin of the American Meteorological Society, 103(3), E710-E732
Bulletin of the American Meteorological Society
Bulletin of the American Meteorological Society 103 (2022) 3

We present Multi-Source Weather (MSWX), a seamless global gridded near-surface meteorological product featuring a high 3-hourly 0.1° resolution, near-real-time updates (∼3-h latency), and bias-corrected medium-range (up to 10 days) and long-range

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ecd37de148eb326a9c055d899abc8d9
https://doi.org/10.1175/bams-d-21-0145.1