Incorporating tides and internal gravity waves within global ocean general circulation models: A review

BK Arbic - Progress in Oceanography, 2022 - Elsevier
Until recently, high-resolution global modeling of tides has been done separately from high-
resolution global modeling of the atmospherically-forced oceanic general circulation. Here …

The winter central Arctic surface energy budget: A model evaluation using observations from the MOSAiC campaign

A Solomon, MD Shupe, G Svensson, NP Barton… - Elem Sci …, 2023 - online.ucpress.edu
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 …

The Met Office Forecast Ocean Assimilation Model (FOAM) using a 1/12‐degree grid for global forecasts

A Barbosa Aguiar, MJ Bell, E Blockley… - Quarterly Journal of …, 2024 - Wiley Online Library
Abstract The Met Office Forecast Ocean Assimilation Model (FOAM) ocean–sea‐ice analysis
and forecasting operational system has been using an ORCA tripolar grid with 1/4° …

[HTML][HTML] Advances in tropical cyclone prediction on subseasonal time scales during 2019–2022

CJ Schreck III, F Vitart, SJ Camargo, J Camp… - … Cyclone Research and …, 2023 - Elsevier
This review describes advances in understanding and forecasting tropical cyclone (TC)
subseasonal variability during the past four years. A large effort by the scientific community …

Implementation of a discrete dipole approximation scattering database into community radiative transfer model

I Moradi, P Stegmann, B Johnson… - Journal of …, 2022 - Wiley Online Library
Abstract The Community Radiative Transfer Model (CRTM) is a fast model that requires bulk
optical properties of hydrometeors in the form of lookup tables to simulate all‐sky satellite …

An intercomparison of satellite derived Arctic sea ice motion products

X Wang, R Chen, C Li, Z Chen, F Hui, X Cheng - Remote Sensing, 2022 - mdpi.com
Arctic sea ice motion information provides an important scientific basis for revealing the
changing mechanism of Arctic sea ice and assessing the navigational safety of Arctic …

A transformer-based regression scheme for forecasting significant wave heights in oceans

P Pokhrel, E Ioup, J Simeonov… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
In this article, we present a novel approach for forecasting significant wave heights in
oceanic waters. We propose an algorithm based on the WaveWatch III, differencing, and a …

Improving the Met Office's Forecast Ocean Assimilation Model (FOAM) with the assimilation of satellite‐derived sea‐ice thickness data from CryoSat‐2 and SMOS in …

D Mignac, M Martin, E Fiedler… - Quarterly Journal of …, 2022 - Wiley Online Library
Derived from two complementary satellites, CryoSat‐2 and Soil Moisture and Ocean Salinity
(SMOS), sea ice thickness (SIT) data are assimilated into the Met Office's global ocean–sea …

A mid-and long-term arctic sea ice concentration prediction model based on deep learning technology

Q Zheng, W Li, Q Shao, G Han, X Wang - Remote Sensing, 2022 - mdpi.com
Mid-and long-term predictions of Arctic sea ice concentration (SIC) are important for the
safety and security of the Arctic waterways. To date, SIC predictions mainly rely on numerical …

Local volume solvers for Earth system data assimilation: Implementation in the framework for Joint Effort for Data Assimilation Integration

S Frolov, A Shlyaeva, W Huang, T Sluka… - Journal of Advances …, 2024 - Wiley Online Library
Abstract The Joint Effort for Data assimilation Integration (JEDI) is an international
collaboration aimed at developing an open software ecosystem for model agnostic data …