Towards neural Earth system modelling by integrating artificial intelligence in Earth system science

C Irrgang, N Boers, M Sonnewald, EA Barnes… - Nature Machine …, 2021 - nature.com
Earth system models (ESMs) are our main tools for quantifying the physical state of the Earth
and predicting how it might change in the future under ongoing anthropogenic forcing. In …

Coupled data assimilation and parameter estimation in coupled ocean–atmosphere models: a review

S Zhang, Z Liu, X Zhang, X Wu, G Han, Y Zhao, X Yu… - Climate Dynamics, 2020 - Springer
Recent studies have started to explore coupled data assimilation (CDA) in coupled ocean–
atmosphere models because of the great potential of CDA to improve climate analysis and …

The ECMWF operational ensemble reanalysis–analysis system for ocean and sea ice: a description of the system and assessment

H Zuo, MA Balmaseda, S Tietsche, K Mogensen… - Ocean …, 2019 - os.copernicus.org
The ECMWF OCEAN5 system is a global ocean and sea-ice ensemble of reanalysis and
real-time analysis. This paper gives a full description of the OCEAN5 system, with the focus …

Coupled data assimilation at ECMWF: current status, challenges and future developments

P de Rosnay, P Browne, E de Boisséson… - Quarterly Journal of …, 2022 - Wiley Online Library
This article presents coupled data assimilation (DA) activities at the European Centre for
Medium‐Range Weather Forecasts (ECMWF). Coupled DA is an essential component of the …

Current and emerging developments in subseasonal to decadal prediction

WJ Merryfield, J Baehr, L Batté… - Bulletin of the …, 2020 - journals.ametsoc.org
Weather and climate variations on subseasonal to decadal time scales can have enormous
social, economic, and environmental impacts, making skillful predictions on these time …

Scientific challenges to characterizing the wind resource in the marine atmospheric boundary layer

W Shaw, L Berg, M Debnath, G Deskos… - Wind Energy …, 2022 - wes.copernicus.org
With the increasing level of offshore wind energy investment, it is correspondingly important
to be able to accurately characterize the wind resource in terms of energy potential as well …

[HTML][HTML] The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2

P Shi, LR Leung, B Wang, K Zhang… - Geoscientific Model …, 2024 - gmd.copernicus.org
A new weakly coupled land data assimilation (WCLDA) system based on the four-
dimensional ensemble variational (4DEnVar) method is developed and applied to the fully …

Data assimilation for urban stormwater and water quality simulations using deep reinforcement learning

M Jeung, J Jang, K Yoon, SS Baek - Journal of Hydrology, 2023 - Elsevier
Hydrological models have been used to understand the transportation of water quantity and
quality in drainage systems, and the stormwater management model (SWMM) is one of the …

[HTML][HTML] The Met Office operational soil moisture analysis system

B Gómez, CL Charlton-Pérez, H Lewis, B Candy - Remote Sensing, 2020 - mdpi.com
In this study, the current Met Office operational land surface data assimilation system used to
produce soil moisture analyses is presented. The main aim of including Land Surface Data …

Evaluating benefits of two-way ocean–atmosphere coupling for global NWP forecasts

M Vellinga, D Copsey, T Graham… - Weather and …, 2020 - journals.ametsoc.org
We evaluate the impact of adding two-way coupling between atmosphere and ocean to the
Met Office deterministic global forecast model. As part of preoperational testing of this …