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Showing 5 of 5 academic articles

Air pollution mapping and variability over five European cities

Karine Sartelet, Jules Kerckhoffs, Eleni Athanasopoulou, Lya Lugon et al. • Environment International (2025)

Mapping urban pollution is essential for assessing population exposure and addressing associated health impacts. High urban concentrations are due to the proximity of sources such as traffic or residential heating, and to urban density with...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.envint.2025.109474

Comparative study of strongly and weakly coupled data assimilation with a global land–atmosphere coupled model

K. Kurosawa, K. Kurosawa, S. Kotsuki, S. Kotsuki et al. • Nonlinear Processes in Geophysics (2023)

This study explores coupled land–atmosphere data assimilation (DA) for improving weather and hydrological forecasts by assimilating soil moisture (SM) data. This study integrates a land DA component into a global atmospheric DA system of th...

DOAJ Open Access (DOAJ) DOI: 10.5194/npg-30-457-2023

Assimilation of ASCAT Radar Backscatter Coefficients over Southwestern France

Timothée Corchia, Bertrand Bonan, Nemesio Rodríguez-Fernández, Gabriel Colas et al. • Remote Sensing (2023)

In this work, Advanced SCATterometer (ASCAT) backscatter data are directly assimilated into the interactions between soil, biosphere, and atmosphere (ISBA) land surface model using Meteo-France’s global Land Data Assimilation System (LDAS-M...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs15174258

Generative Lagrangian data assimilation for ocean dynamics under extreme sparsity

Niloofar Asefi, Leonard Lupin-Jimenez, Tianning Wu, Ruoying He et al. • Machine Learning. Earth (2025)

Reconstructing ocean dynamics from observational data is fundamentally limited by the sparse, irregular, and Lagrangian nature of spatial sampling, particularly in subsurface and remote regions. This sparsity poses significant challenges fo...

DOAJ Open Access (DOAJ) DOI: 10.1088/3049-4753/ae0b70