Includes scripts for generating DMS climatologies in the Southern Ocean. The ANN ensemble function now utilizes the PyTorch framework, providing up to ~16x faster training times over the previous NESAP iteration using Scikit-Learn's implementation. Please see the associated readme files for more information
Computational methods for efficient seasonal ensemble prediction with a coupled ocean-atmosphere mod...
ICM-CRM Meeting 2023: New Bridges between Marine Sciences and Mathematics, 2-10 November 2023This wo...
To improve the energy density and directional spectra computed with the SWAN model for the North Sea...
Empirical or statistical methods have been introduced into meteorology and oceanography in four dist...
Recently, the Entropy Ensemble Filter (EEF) method was proposed to mitigate the computational cost o...
Initial release to meet journal publication standards. Includes custom scripts and gridded climatolo...
Oceanic temperature has a great impact on global climate and worldwide ecosystems, as its anomalies ...
Surface ocean DMS concentrations and sea-to-air flux estimated using an Artificial Neural Network mo...
The item is made of 6 files: 1) README.txt; 2) TCO2_NNGv2LDEO_climatology.nc contains the climatolog...
[1] The local ensemble transform (ET) analysis perturbation scheme is adapted to generate perturbati...
We explore the potential of feed-forward deep neural networks (DNNs) for emulating cloud superparame...
We explore the potential of feed-forward deep neural networks (DNNs) for emulating cloud superparame...
A reliable and accurate extreme air temperature in summer is necessary to prepare for and respond to...
This contains the code, results, and analysis from the publication "Coupled Atmosphere-Ocean Reconst...
A novel neural network (NN)–based scheme performs nonlinear model output statistics (MOS) for genera...
Computational methods for efficient seasonal ensemble prediction with a coupled ocean-atmosphere mod...
ICM-CRM Meeting 2023: New Bridges between Marine Sciences and Mathematics, 2-10 November 2023This wo...
To improve the energy density and directional spectra computed with the SWAN model for the North Sea...
Empirical or statistical methods have been introduced into meteorology and oceanography in four dist...
Recently, the Entropy Ensemble Filter (EEF) method was proposed to mitigate the computational cost o...
Initial release to meet journal publication standards. Includes custom scripts and gridded climatolo...
Oceanic temperature has a great impact on global climate and worldwide ecosystems, as its anomalies ...
Surface ocean DMS concentrations and sea-to-air flux estimated using an Artificial Neural Network mo...
The item is made of 6 files: 1) README.txt; 2) TCO2_NNGv2LDEO_climatology.nc contains the climatolog...
[1] The local ensemble transform (ET) analysis perturbation scheme is adapted to generate perturbati...
We explore the potential of feed-forward deep neural networks (DNNs) for emulating cloud superparame...
We explore the potential of feed-forward deep neural networks (DNNs) for emulating cloud superparame...
A reliable and accurate extreme air temperature in summer is necessary to prepare for and respond to...
This contains the code, results, and analysis from the publication "Coupled Atmosphere-Ocean Reconst...
A novel neural network (NN)–based scheme performs nonlinear model output statistics (MOS) for genera...
Computational methods for efficient seasonal ensemble prediction with a coupled ocean-atmosphere mod...
ICM-CRM Meeting 2023: New Bridges between Marine Sciences and Mathematics, 2-10 November 2023This wo...
To improve the energy density and directional spectra computed with the SWAN model for the North Sea...
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