Results 1 to 10 of about 7,295,044 (195)

Seasonal variability of future extreme precipitation and associated trends across the Contiguous U.S.

Frontiers in Climate, 2022
Global climate models and long-term observational records point to the intensification of extreme precipitation due to global warming. Such intensification has direct implications for worsening floods and damage to life and property.
Ishrat Jahan Dollan, Viviana Maggioni, Jeremy Johnston, Gustavo de A. Coelho, James L. Kinter   +4 more
doaj   +1 more source

Comparison of ocean deoxygenation between CMIP models and an observational dataset in the North Pacific from 1958 to 2005

Frontiers in Marine Science, 2023
This study investigated the relationship between the observed and simulated dissolved oxygen (O2) inventory changes in the North Pacific by analyzing an observational dataset and the outputs of Coupled Model Intercomparison Project Phase 5 and 6 (CMIP5/6)
Yumi Abe, Shoshiro Minobe, Shoshiro Minobe   +2 more
doaj   +1 more source

Hot Spots and Climate Trends of Meteorological Droughts in Europe–Assessing the Percent of Normal Index in a Single-Model Initial-Condition Large Ensemble

Frontiers in Water, 2021
Drought, caused by a prolonged deficit of precipitation, bears the risk of severe economic and ecological consequences for affected societies. The occurrence of this significant hydro-meteorological hazard is expected to strongly increase in many regions
Andrea Böhnisch, Magdalena Mittermeier, Martin Leduc, Ralf Ludwig   +3 more
doaj   +1 more source

The signature of internal variability in the terrestrial carbon cycle

Environmental Research Letters, 2021
Uncertainty in model initial states produces uncertainty in climate simulations because of unforced variability internal to the climate system. Climate scientists use initial-condition ensembles to separate the forced signal of climate change from the ...
Gordon B Bonan, Danica L Lombardozzi, William R Wieder   +2 more
doaj   +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

Geophysical 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, Tomoki Miyakawa, Masuo Nakano, Chihiro Kodama, Akiyoshi Wada, Tomoe Nasuno, Ying‐Wen Chen, Akira Yamazaki, Hisashi Yashiro, Masaki Satoh   +9 more
doaj   +1 more source

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

Environmental 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?

Environmental 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

Geophysical 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, Sebastian Sippel, Angeline G. Pendergrass, Iris deVries, Reto Knutti   +4 more
doaj   +1 more source

The New Max Planck Institute Grand Ensemble With CMIP6 Forcing and High‐Frequency Model Output

Journal of Advances in Modeling Earth Systems, 2023
Single‐model initial‐condition large ensembles are powerful tools to quantify the forced response, internal climate variability, and their evolution under global warming.
Dirk Olonscheck, Laura Suarez‐Gutierrez, Sebastian Milinski, Goratz Beobide‐Arsuaga, Johanna Baehr, Friederike Fröb, Tatiana Ilyina, Christopher Kadow, Daniel Krieger, Hongmei Li, Jochem Marotzke, Étienne Plésiat, Martin Schupfner, Fabian Wachsmann, Lara Wallberg, Karl‐Hermann Wieners, Sebastian Brune   +16 more
doaj   +1 more source

Large ensemble climate model simulations: introduction, overview, and future prospects for utilising multiple types of large ensemble [PDF]

Earth System Dynamics, 2021
Single model initial-condition large ensembles (SMILEs) are valuable tools that can be used to investigate the climate system. SMILEs allow scientists to quantify and separate the internal variability of the climate system and its response to external ...
N. Maher, S. Milinski, R. Ludwig
doaj   +1 more source