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Machine Learning Techniques for Data Reduction of Climate Applications

open access: yes
Scientists conduct large-scale simulations to compute derived quantities-of-interest (QoI) from primary data. Often, QoI are linked to specific features, regions, or time intervals, such that data can be adaptively reduced without compromising the ...
Gong, Qian   +5 more
core  

Human perturbations to mercury in global rivers. [PDF]

open access: yesSci Adv
Peng D   +12 more
europepmc   +1 more source

Increasing flood hazard in the Lower Mississippi River due to extreme storm clustering. [PDF]

open access: yesSci Adv
Liu Y   +5 more
europepmc   +1 more source

Rising atmospheric moisture escalates the future impact of atmospheric rivers in the Antarctic climate system. [PDF]

open access: yesCommun Earth Environ
Maclennan ML   +6 more
europepmc   +1 more source

Multi-ignition fire complexes drive extreme fire years and impacts. [PDF]

open access: yesSci Adv
Scholten RC   +13 more
europepmc   +1 more source

Application-specific optimal model weighting of global climate models: A red tide example. [PDF]

open access: yesClim Serv, 2022
Elshall A   +6 more
europepmc   +1 more source

Climate change will reduce North American inland wetland areas and disrupt their seasonal regimes. [PDF]

open access: yesNat Commun
Xu D   +7 more
europepmc   +1 more source

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