Results 11 to 20 of about 169 (61)
Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach
Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities and ...
An, Shuai +5 more
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Critical latitude in global quasi-geostrophic flow on a rotating sphere [PDF]
In this paper, we study geostrophic turbulence without external forcing or dissipation, using a Casimir-preserving numerical method. The research examines the formation of large zonal jets, common in geophysical flows, especially in giant gas planets ...
Ephrati, Sagy +3 more
core +1 more source
Detecting recurrent weather patterns and understanding the transitions between such regimes are key to advancing our knowledge on the low-frequency variability of the atmosphere and have important implications in terms of weather and climate-related ...
Galfi, Vera Melinda +3 more
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Machine-learned climate model corrections from a global storm-resolving model
Due to computational constraints, running global climate models (GCMs) for many years requires a lower spatial grid resolution (${\gtrsim}50$ km) than is optimal for accurately resolving important physical processes.
Brenowitz, Noah D. +8 more
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Instantaneous Clear Sky Radiative Forcings of Halogenated Gases
The clear sky instantaneous radiative forcings of the 14 halogenated gases previously shown to have the largest contribution to global warming, were found.
Happer, W., van Wijngaarden, W. A.
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Dynamical Tests of a Deep-Learning Weather Prediction Model
Global deep-learning weather prediction models have recently been shown to produce forecasts that rival those from physics-based models run at operational centers.
Hakim, Gregory J., Masanam, Sanjit
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Ionospheric response during Tropical Cyclones-a brief review on Amphan and Nisarga
Here, we explore the different characteristics of a possible coupling between tropospheric and ionospheric activities during the impact of tropical cyclones (TC) like Amphan and Nisarga in the Indian subcontinent.
Ayyagari, Deepthi +3 more
core +1 more source
Training neural mapping schemes for satellite altimetry with simulation data
Satellite altimetry combined with data assimilation and optimal interpolation schemes have deeply renewed our ability to monitor sea surface dynamics.
Fablet, Ronan +3 more
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The diurnal cycle and temporal trends of surface winds
Winds play an essential role in the climate system. In this study, we analyze the global pattern of the diurnal cycle of surface (10 m) winds from the ERA5 reanalysis data.
Ashkenazy, Yosef, Yizhaq, Hezi
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