Learning skillful medium-range global weather forecasting
Global medium-range weather forecasting is critical to decision-making across many social
and economic domains. Traditional numerical weather prediction uses increased compute …
and economic domains. Traditional numerical weather prediction uses increased compute …
Tropical deforestation causes large reductions in observed precipitation
Tropical forests play a critical role in the hydrological cycle and can influence local and
regional precipitation. Previous work has assessed the impacts of tropical deforestation on …
regional precipitation. Previous work has assessed the impacts of tropical deforestation on …
A machine learning model that outperforms conventional global subseasonal forecast models
Skillful subseasonal forecasts are crucial for various sectors of society but pose a grand
scientific challenge. Recently, machine learning-based weather forecasting models …
scientific challenge. Recently, machine learning-based weather forecasting models …
An agenda for land data assimilation priorities: Realizing the promise of terrestrial water, energy, and vegetation observations from space
The task of quantifying spatial and temporal variations in terrestrial water, energy, and
vegetation conditions is challenging due to the significant complexity and heterogeneity of …
vegetation conditions is challenging due to the significant complexity and heterogeneity of …
[HTML][HTML] Blue-green roofs with forecast-based operation to reduce the impact of weather extremes
Conventional green roofs have often been criticised for their limited water buffer capacity
during extreme rainfall events and for their susceptibility to droughts when additional …
during extreme rainfall events and for their susceptibility to droughts when additional …
Deep Learning Approaches in Predicting Tropical Cyclone Tracks: An Analysis Focused on the Northwest Pacific Region
P Hao, Y Zhao, S Li, J Song, Y Gao - Ocean Modelling, 2024 - Elsevier
In this study, we conducted a comprehensive and integrated test of tropical cyclone track
prediction using deep learning technologies, aiming to enhance the efficiency and accuracy …
prediction using deep learning technologies, aiming to enhance the efficiency and accuracy …
Ens-10: A dataset for post-processing ensemble weather forecasts
S Ashkboos, L Huang, N Dryden… - Advances in …, 2022 - proceedings.neurips.cc
Post-processing ensemble prediction systems can improve the reliability of weather
forecasting, especially for extreme event prediction. In recent years, different machine …
forecasting, especially for extreme event prediction. In recent years, different machine …
[HTML][HTML] Fire Weather Index: the skill provided by the European Centre for Medium-Range Weather Forecasts ensemble prediction system
F Di Giuseppe, C Vitolo, B Krzeminski… - … Hazards and Earth …, 2020 - nhess.copernicus.org
In the framework of the EU Copernicus programme, the European Centre for Medium-Range
Weather Forecasts (ECMWF) on behalf of the Joint Research Centre (JRC) is forecasting …
Weather Forecasts (ECMWF) on behalf of the Joint Research Centre (JRC) is forecasting …
The winter central Arctic surface energy budget: A model evaluation using observations from the MOSAiC campaign
This study evaluates the simulation of wintertime (15 October, 2019, to 15 March, 2020)
statistics of the central Arctic near-surface atmosphere and surface energy budget observed …
statistics of the central Arctic near-surface atmosphere and surface energy budget observed …
Verification of heat stress thresholds for a health-based heat-wave definition
C Di Napoli, F Pappenberger… - Journal of Applied …, 2019 - journals.ametsoc.org
Heat waves represent a threat to human health and excess mortality is one of the associated
negative effects. A health-based definition for heat waves is therefore relevant, especially for …
negative effects. A health-based definition for heat waves is therefore relevant, especially for …