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Simulating hydrological extremes for different warming levels–combining large scale climate ensembles with local observation based machine learning models
Climate change has a large influence on the occurrence of extreme hydrological events. However, r...
SM Hauswirth, K van der Wiel, MFP Bierkens, V Beijk, N Wanders | Journal: Frontiers in Water | Volume: 5 | Year: 2023 | First page: 11008108 | doi: 10.3389/frwa.2023.1108108
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The effects of varying drought-heat signatures on terrestrial carbon dynamics and vegetation composition
The frequency and severity of droughts and heatwaves are projected to increase under global warmi...
E Tschumi, S Lienert, K van der Wiel, F Koos, J Zschleischler | Journal: Biogeosciences | Volume: 19 | Year: 2022 | First page: 1979 | Last page: 1993 | doi: 10.5194/bg-19-1979-2022
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New TM5-4DVAR inverse modelling system to estimate global and European CH4 sources
A new, 4-dimensional variational (4DVAR) inverse modelling system has been developed for inverse ...
P Bergamaschi, JF Meirink, M Krol, MG Villani | Conference: Atmospheric monitoring and inverse modelling for verification of national and EU bottom-up GHG inventories | Organisation: JRC | Place: Casa Don Guanella, Ispra, Italy | Year: 2007 | First page: 54 | Last page: 59
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On homeostasis in Daisyworld
The steady state solution of the Daisyworld model
of Watson and Lovelock (1983) is examined in de...
SL Weber | Status: published | Journal: Climatic Change | Volume: 48 | Year: 2001 | First page: 465 | Last page: 485
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Observations from Personal Weather Stations—EUMETNET Interests and Experience
The number of people owning a private weather station (PWS) and sharing their meteorological meas...
Claudia Hahn, Irene Garcia-Marti, Jacqueline Sugier, Fiona Emsley, Anne-Lise Beaulant, Louise Oram, Eva Strandberg, Elisa Lindgren, Martyn Sunter, Franziska Ziska
| Journal: MDPI CLimate | Volume: 10 | Year: 2022 | doi: https://doi.org/10.3390/cli10120192
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