Results 1 to 10 of about 33,642 (262)

Amplified warming of seasonal cold extremes relative to the mean in the Northern Hemisphere extratropics [PDF]

open access: yesEarth System Dynamics, 2020
Cold extremes are anticipated to warm at a faster rate than both hot extremes and average temperatures for much of the Northern Hemisphere. Anomalously warm cold extremes can affect numerous sectors, including human health, tourism and various ecosystems
M. H. Gross   +4 more
doaj   +1 more source

A deep learning-based hybrid model of global terrestrial evaporation

open access: yesNature Communications, 2022
Global evaporation is a key climatic process that remains highly uncertain. Here, the authors shed light on this process with a novel hybrid model that integrates a deep learning representation of ecosystem stress within a physics-based framework.
Akash Koppa   +4 more
doaj   +1 more source

Assessing the impact of suppressing Southern Ocean SST variability in a coupled climate model

open access: yesScientific Reports, 2021
The Southern Ocean exerts a strong influence on global climate, regulating the storage and transport of heat, freshwater and carbon throughout the world’s oceans.
Ariaan Purich   +2 more
doaj   +1 more source

Land–atmosphere feedbacks contribute to crop failure in global rainfed breadbaskets

open access: yesnpj Climate and Atmospheric Science, 2023
Global crop yields are highly dependent on climate variability, with the largest agricultural failures frequently occurring during extremely dry and hot years.
Hao Li   +5 more
doaj   +1 more source

A flux tower dataset tailored for land model evaluation [PDF]

open access: yesEarth System Science Data, 2022
Eddy covariance flux towers measure the exchange of water, energy, and carbon fluxes between the land and atmosphere. They have become invaluable for theory development and evaluating land models.
A. M. Ukkola   +5 more
doaj   +1 more source

Comparison of a novel machine learning approach with dynamical downscaling for Australian precipitation

open access: yesEnvironmental Research Letters, 2023
Dynamical downscaling (DD), and machine learning (ML) based techniques have been widely applied to downscale global climate models and reanalyses to a finer spatiotemporal scale, but the relative performance of these two methods remains unclear.
Nidhi Nishant   +6 more
doaj   +1 more source

Increased occurrence of high impact compound events under climate change

open access: yesnpj Climate and Atmospheric Science, 2022
While compound weather and climate events (CEs) can lead to significant socioeconomic consequences, their response to climate change is mostly unexplored.
N. N. Ridder   +3 more
doaj   +1 more source

Climate influence on compound solar and wind droughts in Australia

open access: yesnpj Climate and Atmospheric Science, 2023
Solar photovoltaic and wind power are central to Australia’s renewable energy future, implying an energy sector vulnerable to weather and climate variability.
D. Richardson   +2 more
doaj   +1 more source

What Determines the Lagged ENSO Response in the South‐West Indian Ocean?

open access: yesGeophysical Research Letters, 2021
Oceanic Rossby waves can propagate climate signals over considerable distances over long timescales. Using a long simulation from a coupled climate model, we examine oceanic and mixed atmosphere‐ocean teleconnections to the south‐western Indian Ocean ...
M. D. Eabry   +3 more
doaj   +1 more source

Combined role of ENSO and IOD on compound drought and heatwaves in Australia using two CMIP6 large ensembles

open access: yesWeather and Climate Extremes, 2022
Compound drought and heatwaves (CDHWs) can cause significant socio-economic and ecological impacts. A better understanding of historical spatiotemporal changes of Australian CDHWs and their underlying physical mechanisms can help improve their ...
P. Jyoteeshkumar Reddy   +3 more
doaj   +1 more source

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