Results 21 to 30 of about 1,036,303 (287)

Lake Ice Will Be Less Safe for Recreation and Transportation Under Future Warming

open access: yesEarth's Future, 2022
Millions of lakes from around the world freeze during winter. These frozen surfaces provide essential ecosystem services that are vital to many northern communities.
R. Iestyn Woolway   +5 more
doaj   +1 more source

Statistical ensemble of large-eddy simulations [PDF]

open access: yesJournal of Fluid Mechanics, 2002
A statistical ensemble of large-eddy simulations (LES) is run simultaneously for the same flow. The information provided by the different large-scale velocity fields is used in an ensemble-averaged version of the dynamic model. This produces local model parameters that only depend on the statistical properties of the flow.
Carati, Daniele   +2 more
openaire   +1 more source

Large Ensemble Simulation for Investigating Predictability of Precursor Vortices of Typhoon Faxai in 2019 With a 14‐km Mesh Global Nonhydrostatic Atmospheric Model

open access: yesGeophysical Research Letters, 2023
Typhoon Faxai hit Japan in 2019 and severely damaged the Tokyo metropolitan area. To mitigate such damages, a good track forecast is necessary even before the typhoon formation. To investigate the predictability of the genesis and movement of a precursor
Yohei Yamada   +9 more
doaj   +1 more source

European heatwave tracks: using causal discovery to detect recurring pathways in a single-regional climate model large ensemble

open access: yesEnvironmental Research Letters, 2023
Summer heatwaves repeatedly affect extended regions in Europe, resulting in adverse economic, social, and ecological impacts. Recent events, e.g. the 2022 heatwave, also attract interest regarding the spatial shifts of their impact centers.
A Böhnisch, E Felsche, R Ludwig
doaj   +1 more source

How extreme could the near term evolution of the Indian Summer Monsoon rainfall be?

open access: yesEnvironmental Research Letters, 2022
We provide a methodology to estimate possible extreme changes in seasonal rainfall for the coming decades. We demonstrate this methodology using Indian summer monsoon rainfall as an example.
Shipra Jain, Adam A Scaife
doaj   +1 more source

Reconstruction of Zonal Precipitation From Sparse Historical Observations Using Climate Model Information and Statistical Learning

open access: yesGeophysical Research Letters, 2022
Future projected changes in precipitation substantially impact societies worldwide. However, large uncertainties remain due to sparse historical observational coverage, large internal climate variability, and climate model disagreement.
Marius Egli   +4 more
doaj   +1 more source

The SMHI Large Ensemble (SMHI-LENS) with EC-Earth3.3.1 [PDF]

open access: yesGeoscientific Model Development, 2021
The Swedish Meteorological and Hydrological Institute used the global climate model EC-Earth3 to perform a large ensemble of simulations (SMHI-LENS). It consists of 50 members, covers the period 1970 to 2100, and comprises the SSP1-1.9, SSP3-3.4, SSP5-3 ...
K. Wyser   +6 more
doaj   +1 more source

Internal Climate Variability in the Present Climate and the Change in ENSO Amplitude in Future Climate Simulations

open access: yesFrontiers in Climate, 2022
In this study, we define a metric for the intensity of internal climate variability (ICV) based on global surface temperature in the present climate and suggest that it can be used to understand the diversity of projected changes in ENSO amplitude in the
Seung-Hwon Hyun   +4 more
doaj   +1 more source

Random Prism: An Alternative to Random Forests. [PDF]

open access: yes, 2011
Ensemble learning techniques generate multiple classifiers, so called base classifiers, whose combined classification results are used in order to increase the overall classification accuracy.
Bramer, Max, Stahl, Frederic
core   +1 more source

Wind and Wave Extremes over the World Oceans from Very Large Ensembles [PDF]

open access: yes, 2014
Global return values of marine wind speed and significant wave height are estimated from very large aggregates of archived ensemble forecasts at +240-h lead time.
Aarnes   +43 more
core   +2 more sources

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