Results 11 to 20 of about 169 (61)

Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach

open access: yes, 2023
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
core  

Critical latitude in global quasi-geostrophic flow on a rotating sphere [PDF]

open access: yes
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

Agnostic detection of large-scale weather patterns in the northern hemisphere: from blockings to teleconnections

open access: yes, 2023
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
core  

Machine-learned climate model corrections from a global storm-resolving model

open access: yes, 2022
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
core  

Instantaneous Clear Sky Radiative Forcings of Halogenated Gases

open access: yes, 2023
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.
core  

Dynamical Tests of a Deep-Learning Weather Prediction Model

open access: yes, 2023
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
core  

Ionospheric response during Tropical Cyclones-a brief review on Amphan and Nisarga

open access: yes, 2023
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

open access: yes, 2023
Satellite altimetry combined with data assimilation and optimal interpolation schemes have deeply renewed our ability to monitor sea surface dynamics.
Fablet, Ronan   +3 more
core  

The diurnal cycle and temporal trends of surface winds

open access: yes, 2022
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
core  

A Data-Driven Approach for Parameterizing Submesoscale Vertical Buoyancy Fluxes in the Ocean Mixed Layer

open access: yes, 2023
The parameterizations of submesoscale ($
Balwada, Dhruv   +2 more
core  

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