Ship collision avoidance methods: State-of-the-art
Collision prevention is critical for navigation safety at sea. At early ages, researchers aimed
at developing navigational assistance systems for enhancing situational awareness of …
at developing navigational assistance systems for enhancing situational awareness of …
Linking climate c hange modelling to impacts studies
There is now a large published literature on the strengths and weaknesses of downscaling
methods for different climatic variables, in different regions and seasons. However, little …
methods for different climatic variables, in different regions and seasons. However, little …
Accurate medium-range global weather forecasting with 3D neural networks
Weather forecasting is important for science and society. At present, the most accurate
forecast system is the numerical weather prediction (NWP) method, which represents …
forecast system is the numerical weather prediction (NWP) method, which represents …
Pangu-weather: A 3d high-resolution model for fast and accurate global weather forecast
In this paper, we present Pangu-Weather, a deep learning based system for fast and
accurate global weather forecast. For this purpose, we establish a data-driven environment …
accurate global weather forecast. For this purpose, we establish a data-driven environment …
Enforcing analytic constraints in neural networks emulating physical systems
Neural networks can emulate nonlinear physical systems with high accuracy, yet they may
produce physically inconsistent results when violating fundamental constraints. Here, we …
produce physically inconsistent results when violating fundamental constraints. Here, we …
Earth system modeling 2.0: A blueprint for models that learn from observations and targeted high‐resolution simulations
Climate projections continue to be marred by large uncertainties, which originate in
processes that need to be parameterized, such as clouds, convection, and ecosystems. But …
processes that need to be parameterized, such as clouds, convection, and ecosystems. But …
The use of the multi-model ensemble in probabilistic climate projections
Recent coordinated efforts, in which numerous climate models have been run for a common
set of experiments, have produced large datasets of projections of future climate for various …
set of experiments, have produced large datasets of projections of future climate for various …
Forecasting seasonal outbreaks of influenza
J Shaman, A Karspeck - Proceedings of the National …, 2012 - National Acad Sciences
Influenza recurs seasonally in temperate regions of the world; however, our ability to predict
the timing, duration, and magnitude of local seasonal outbreaks of influenza remains limited …
the timing, duration, and magnitude of local seasonal outbreaks of influenza remains limited …
Seasonal climate predictability and forecasting: status and prospects
FJ Doblas‐Reyes, J García‐Serrano… - Wiley …, 2013 - Wiley Online Library
Seasonal climate forecasts occupy an intermediate zone between weather forecasting and
climate projections. They share with the numerical weather prediction the difficulty of …
climate projections. They share with the numerical weather prediction the difficulty of …
Stochastic representations of model uncertainties at ECMWF: State of the art and future vision
Members in ensemble forecasts differ due to the representations of initial uncertainties and
model uncertainties. The inclusion of stochastic schemes to represent model uncertainties …
model uncertainties. The inclusion of stochastic schemes to represent model uncertainties …