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Stefan Bronnimann

Explore the profile of Stefan Bronnimann including associated specialties, affiliations and a list of published articles. Areas
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Articles 19
Citations 107
Followers 0
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Recent Articles
1.
Sivaraj S, Zscheischler J, Buzan J, Martius O, Bronnimann S, Vicedo-Cabrera A
Environ Res Lett . 2024 Jul; 19(7):074069. PMID: 39070017
The global health burden associated with exposure to heat is a grave concern and is projected to further increase under climate change. While physiological studies have demonstrated the role of...
2.
Valler V, Franke J, Brugnara Y, Samakinwa E, Hand R, Lundstad E, et al.
Sci Data . 2024 Jan; 11(1):36. PMID: 38182596
The Modern Era Reanalysis (ModE-RA) is a global monthly paleo-reanalysis covering the period between 1421 and 2008. To reconstruct past climate fields an offline data assimilation approach is used, blending...
3.
Burgdorf A, Bronnimann S, Adamson G, Amano T, Aono Y, Barriopedro D, et al.
Sci Data . 2023 Jun; 10(1):402. PMID: 37353567
Documentary climate data describe evidence of past climate arising from predominantly written historical documents such as diaries, chronicles, newspapers, or logbooks. Over the past decades, historians and climatologists have generated...
4.
Wilson N, Valler V, Cassidy M, Boyd M, Mani L, Bronnimann S
Sci Rep . 2023 Mar; 13(1):3649. PMID: 36871039
Island nations may have potential long-term survival value for humanity in global catastrophes such as sun-blocking catastrophes from nuclear winter and large magnitude volcanic eruptions. One way to explore this...
5.
Lundstad E, Brugnara Y, Pappert D, Kopp J, Samakinwa E, Hurzeler A, et al.
Sci Data . 2023 Jan; 10(1):44. PMID: 36658229
There is a growing need for past weather and climate data to support science and decision-making. This paper describes the compilation and construction of a global multivariable (air temperature, pressure,...
6.
Valler V, Franke J, Brugnara Y, Bronnimann S
Geosci Data J . 2022 Jul; 9(1):89-107. PMID: 35873191
Data assimilation techniques are becoming increasingly popular for climate reconstruction. They benefit from estimating past climate states from both observation information and from model simulations. The first monthly global paleo-reanalysis...
7.
Reichen L, Burgdorf A, Bronnimann S, Franke J, Hand R, Valler V, et al.
Nat Commun . 2022 Apr; 13(1):2116. PMID: 35440103
Annual-to-decadal variability in northern midlatitude temperature is dominated by the cold season. However, climate field reconstructions are often based on tree rings that represent the growing season. Here we present...
8.
Samakinwa E, Valler V, Hand R, Neukom R, Gomez-Navarro J, Kennedy J, et al.
Sci Data . 2021 Oct; 8(1):261. PMID: 34608148
This paper describes a global monthly gridded Sea Surface Temperature (SST) and Sea Ice Concentration (SIC) dataset for the period 1000-1849, which can be used as boundary conditions for atmospheric...
9.
Bronnimann S, Wintzer J
Nature . 2020 Feb; 554(7693):423. PMID: 32094963
No abstract available.
10.
Brugnara Y, Auchmann R, Rutishauser T, Gehrig R, Pietragalla B, Begert M, et al.
Int J Biometeorol . 2019 Sep; 64(1):71-81. PMID: 31478107
Phenological data have become increasingly important as indicators of long-term climate change. Consequently, long-term homogeneity of the records is an important aspect. In this paper, we apply a breakpoint detection...