output
20062025
most citedRespiration driven CO2 pulses dominate Australia's flux variability

62 citations

11 papers

cs.LG2025★ 5 cited

Harvesting AlphaEarth: Benchmarking the Geospatial Foundation Model for Agricultural Downstream Tasks

Yuchi Ma, Yawen Shen, Anu Swatantran +1

Geospatial foundation models (GFMs) have emerged as a promising approach to overcoming the limitations in existing featurization methods. More recently, Google DeepMind has introdu…

physics.ao-ph2025★ 3 cited

Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning

William Gregory, Mitchell Bushuk, Yong-Fei Zhang +4

We showcase a hybrid modeling framework which embeds machine learning (ML) inference into the GFDL SPEAR climate model, for online sea ice bias correction during a set of global fu…

physics.ao-ph2023★ 48 cited

A global unstructured, coupled, high-resolution hindcast of waves and storm surge

Lorenzo Mentaschi, Michalis Vousdoukas, Guillermo Garcia-Sanchez +7

Accurate information on waves and storm surges is essential to understand coastal hazards that are expected to increase in view of global warming and rising sea levels. Despite the…

physics.ao-ph2022★ 62 cited

Respiration driven CO2 pulses dominate Australia's flux variability

Eva-Marie Metz, Sanam N. Vardag, Sourish Basu +22

The Australian continent contributes substantially to the year-to-year variability of the global terrestrial carbon dioxide (CO2) sink. However, the scarcity of in-situ observation…

physics.ao-ph2021★ 9 cited

Polarimetric Sensitivity of Light-Absorbing Carbonaceous Aerosols Over Ocean: A Theoretical Assessment

Chenchong Zhang, William R. Heinson, Michael J. Garay +2

Visible-light-absorbing carbonaceous aerosols within the boundary layer affect the radiance and polarization states of the radiation at the top of the atmosphere. Remote sensing fr…

physics.ao-ph2017★ 8 cited

Quantifying the uncertainties in an ensemble of decadal climate predictions

Ehud Strobach, Golan Bel

Meaningful climate predictions must be accompanied by their corresponding range of uncertainty. Quantifying the uncertainties is non-trivial, and different methods have been sugges…