On the use of IPCC-class models to assess the impact of climate on living marine resources
The study of climate impacts on Living Marine Resources (LMRs) has increased rapidly in
recent years with the availability of climate model simulations contributed to the assessment …
recent years with the availability of climate model simulations contributed to the assessment …
Short and mid-term sea surface temperature prediction using time-series satellite data and LSTM-AdaBoost combination approach
Sea surface temperature (SST) is one of the most important parameters in the global ocean-
atmospheric system, changes of which can have profound effects on the global climate and …
atmospheric system, changes of which can have profound effects on the global climate and …
A review of multimodel superensemble forecasting for weather, seasonal climate, and hurricanes
This review provides a summary of work in the area of ensemble forecasts for weather,
climate, oceans, and hurricanes. This includes a combination of multiple forecast model …
climate, oceans, and hurricanes. This includes a combination of multiple forecast model …
Nonlinear and delayed impacts of climate on dengue risk in Barbados: A modelling study
Background Over the last 5 years (2013–2017), the Caribbean region has faced an
unprecedented crisis of co-occurring epidemics of febrile illness due to arboviruses …
unprecedented crisis of co-occurring epidemics of febrile illness due to arboviruses …
How well do coupled models simulate today's climate?
T Reichler, J Kim - Bulletin of the American Meteorological …, 2008 - journals.ametsoc.org
Information about climate and how it responds to increased greenhouse gas concentrations
depends heavily on insight gained from numerical simulations by coupled climate models …
depends heavily on insight gained from numerical simulations by coupled climate models …
A deep learning model for forecasting sea surface height anomalies and temperatures in the South China Sea
Q Shao, W Li, G Han, G Hou, S Liu… - Journal of …, 2021 - Wiley Online Library
The field of forecasting oceanic variables has traditionally relied on numerical models, which
effectively consider the ocean's dynamic evolution and are of physical importance. However …
effectively consider the ocean's dynamic evolution and are of physical importance. However …
A deep learning approach to predict sea surface temperature based on multiple modes
S Xu, D Dai, X Cui, X Yin, S Jiang, H Pan, G Wang - Ocean Modelling, 2023 - Elsevier
Sea surface temperature (SST) is an essential physical parameter and plays a vital role in
ocean-atmosphere interactions. Accurate SST prediction relies on numerical model …
ocean-atmosphere interactions. Accurate SST prediction relies on numerical model …
Monthly and quarterly sea surface temperature prediction based on gated recurrent unit neural network
Z Zhang, X Pan, T Jiang, B Sui, C Liu… - Journal of Marine Science …, 2020 - mdpi.com
The sea surface temperature (SST) is an important parameter of the energy balance on the
Earth's surface. SST prediction is crucial to marine production, marine protection, and …
Earth's surface. SST prediction is crucial to marine production, marine protection, and …
Prediction of daily sea surface temperature using artificial neural networks
We present an artificial neural network model to predict the sea surface temperature (SST)
and delineate SST fronts in the northe-astern Arabian Sea. The predictions are made one …
and delineate SST fronts in the northe-astern Arabian Sea. The predictions are made one …
[HTML][HTML] Considerations in the selection of global climate models for regional climate projections: The Arctic as a case study
Considerations in the Selection of Global Climate Models for Regional Climate Projections:
The Arctic as a Case Study in: Journal of Climate Volume 24 Issue 6 (2011) Jump to …
The Arctic as a Case Study in: Journal of Climate Volume 24 Issue 6 (2011) Jump to …