Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Lea Beusch"'
Autor:
Lea Beusch, Alexander Nauels, Lukas Gudmundsson, Johannes Gütschow, Carl-Friedrich Schleussner, Sonia I. Seneviratne
Publikováno v:
Communications Earth & Environment, Vol 3, Iss 1, Pp 1-7 (2022)
Under current pledges, greenhouse gas emissions between 1991 and 2030 from the five largest emitters—China, the US, EU-27, India and Russia—will substantially increase the number of countries frequently experiencing extremely hot years, according
Externí odkaz:
https://doaj.org/article/0559c7f9d16b4c6fa143a4db671bd24c
Publikováno v:
Meteorologische Zeitschrift, Vol 27, Iss 1, Pp 67-80 (2018)
In this numerical modelling study, we investigate a Puelche foehn event (25–26 March 2014) in the southern Andes – a region with sparse observations. The synoptic environment as well as the mesoscale structure and the dynamics of the easterly win
Externí odkaz:
https://doaj.org/article/6eb7b409e4394af3ae3732dc8c2c99df
Publikováno v:
Remote Sensing, Vol 10, Iss 6, p 939 (2018)
In this study, we develop and compare satellite rainfall retrievals based on generalized linear models and artificial neural networks. Both approaches are used in classification mode in a first step to identify the precipitating areas (precipitation
Externí odkaz:
https://doaj.org/article/43c77015cc764fbf82e4486109ec573b
Benchmarking CMIP6 Earth System Models using MESMER-M climate emulator trained on observational data
Autor:
Tristan Pelser, Shruti Nath, Quentin Lejeune, Lea Beusch, Lukas Gudmundsson, Sonia I. Seneviratne, Carl F. Schleussner
The latest ensemble of climate models (CMIP6) displays greater overall uncertainty than the previous iteration, with a larger spread of temperature projections by the end of the 21st century. Given that these model projections are essential towards p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24d96f5ebc2f0b911592f5ea75eb3e31
https://doi.org/10.5194/egusphere-egu23-15679
https://doi.org/10.5194/egusphere-egu23-15679
Publikováno v:
Geophysical Research Letters, 49 (17)
Emulators of Earth System Models (ESMs) are complementary to ESMs by providing climate information at lower computational costs. Thus far, the emulation of spatially resolved climate extremes has only received limited attention, even though extreme e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c49b1b0fcea55cf648db8c25136dfa38
https://doi.org/10.1029/2022gl099012
https://doi.org/10.1029/2022gl099012
Autor:
Sarah Schöngart, Quentin Lejeune, Carl-Friedrich Schleußner, Sonia Seneviratne, Lukas Gudmundsson, Lea Beusch
Earth System Models (ESMs) are essential for understanding the dynamics of our climate system, but their computational costs make nuanced investigations of future climatic conditions difficult. Using statistical techniques, computationally efficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6228898b7f185594fcf05fc3d3aed5d
https://doi.org/10.5194/egusphere-egu22-11049
https://doi.org/10.5194/egusphere-egu22-11049
Emulators of Earth System Models (ESMs) are complementary to ESMs, in that they provide climate information with reduced computational costs. However, climate extremes, one of the most impactful consequences of climate change, remain challenging to e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf2f26c82fa92ef4ca69df1a12d46d4e
https://doi.org/10.5194/egusphere-egu22-5034
https://doi.org/10.5194/egusphere-egu22-5034
The degree of trust placed in climate model projections is commensurate to how well their uncertainty can be quantified, particularly at timescales relevant to climate policy makers. On interannual to decadal timescales, model uncertainty due to inte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f11bb1dc6f510c938316623500a3470
https://esd.copernicus.org/preprints/esd-2021-59/
https://esd.copernicus.org/preprints/esd-2021-59/
Autor:
Sonia I. Seneviratne, Malte Meinshausen, Zebedee Nicholls, Lukas Gudmundsson, Lea Beusch, Mathias Hauser
Producing targeted climate information at the local scale, including major sources of climate change projection uncertainty for diverse emissions scenarios, is essential to support climate change mitigation and adaptation efforts. Here, we present th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86a519c710c4de106fc41b3bfcf251a4
https://doi.org/10.5194/gmd-2021-252
https://doi.org/10.5194/gmd-2021-252