Zobrazeno 1 - 10
of 93
pro vyhledávání: '"K Haustein"'
Autor:
K Haustein, F E L Otto, P Uhe, N Schaller, M R Allen, L Hermanson, N Christidis, P McLean, H Cullen
Publikováno v:
Environmental Research Letters, Vol 11, Iss 6, p 064006 (2016)
Within the last decade, extreme weather event attribution has emerged as a new field of science and garnered increasing attention from the wider scientific community and the public. Numerous methods have been put forward to determine the contribution
Externí odkaz:
https://doaj.org/article/20cf53d2d0c646cd80f743f9a0184cca
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 8, Pp 135-154 (2022)
Human-driven climate change has caused a wide range of extreme weather events to become more frequent in recent decades. Although increased and intense periods of extreme weather are expected consequences of anthropogenic climate warming, it remains
Externí odkaz:
https://doaj.org/article/d2102b79ee6a404f9ce48d5725f121ae
Autor:
S. Philip, S. Sparrow, S. F. Kew, K. van der Wiel, N. Wanders, R. Singh, A. Hassan, K. Mohammed, H. Javid, K. Haustein, F. E. L. Otto, F. Hirpa, R. H. Rimi, A. K. M. S. Islam, D. C. H. Wallom, G. J. van Oldenborgh
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 1409-1429 (2019)
In August 2017 Bangladesh faced one of its worst river flooding events in recent history. This paper presents, for the first time, an attribution of this precipitation-induced flooding to anthropogenic climate change from a combined meteorological an
Externí odkaz:
https://doaj.org/article/a9e77c0eb71f4919a87ba364bbb97bd8
Autor:
B. P. Guillod, R. G. Jones, A. Bowery, K. Haustein, N. R. Massey, D. M. Mitchell, F. E. L. Otto, S. N. Sparrow, P. Uhe, D. C. H. Wallom, S. Wilson, M. R. Allen
Publikováno v:
Geoscientific Model Development, Vol 10, Iss 5, Pp 1849-1872 (2017)
Extreme weather events can have large impacts on society and, in many regions, are expected to change in frequency and intensity with climate change. Owing to the relatively short observational record, climate models are useful tools as they allow fo
Externí odkaz:
https://doaj.org/article/d5edfd65641a45f896bec328e8ff995d
Autor:
D. Mitchell, K. AchutaRao, M. Allen, I. Bethke, U. Beyerle, A. Ciavarella, P. M. Forster, J. Fuglestvedt, N. Gillett, K. Haustein, W. Ingram, T. Iversen, V. Kharin, N. Klingaman, N. Massey, E. Fischer, C.-F. Schleussner, J. Scinocca, Ø. Seland, H. Shiogama, E. Shuckburgh, S. Sparrow, D. Stone, P. Uhe, D. Wallom, M. Wehner, R. Zaaboul
Publikováno v:
Geoscientific Model Development, Vol 10, Iss 2, Pp 571-583 (2017)
The Intergovernmental Panel on Climate Change (IPCC) has accepted the invitation from the UNFCCC to provide a special report on the impacts of global warming of 1.5 °C above pre-industrial levels and on related global greenhouse-gas emission pathway
Externí odkaz:
https://doaj.org/article/4963cdf058df483cb45677acd134e4bf
Autor:
K. Haustein, R. Washington, J. King, G. Wiggs, D. S. G. Thomas, F. D. Eckardt, R. G. Bryant, L. Menut
Publikováno v:
Geoscientific Model Development, Vol 8, Iss 2, Pp 341-362 (2015)
Within the framework of the Dust Observations for Models (DO4Models) project, the performance of three commonly used dust emission schemes is investigated in this paper using a box model environment. We constrain the model with field data (surface an
Externí odkaz:
https://doaj.org/article/0a9f1c63319645d4946eee24f0a62c21
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 21, Pp 2169-2179 (2021)
In this study, we analyse the role of climate change in the forest fires that raged through large parts of Sweden in the summer of 2018 from a meteorological perspective. This is done by studying the Canadian Fire Weather Index (FWI) based on sub-dai
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Autor:
K. Haustein, C. Pérez, J. M. Baldasano, O. Jorba, S. Basart, R. L. Miller, Z. Janjic, T. Black, S. Nickovic, M. C. Todd, R. Washington, D. Müller, M. Tesche, B. Weinzierl, M. Esselborn, A. Schladitz
Publikováno v:
Atmospheric Chemistry and Physics, Vol 12, Iss 6, Pp 2933-2958 (2012)
The new NMMB/BSC-Dust model is intended to provide short to medium-range weather and dust forecasts from regional to global scales. It is an online model in which the dust aerosol dynamics and physics are solved at each model time step. The companion
Externí odkaz:
https://doaj.org/article/17f773231da84ac5a86a445f8fcc8272
Autor:
J. P. Perlwitz, R. L. Miller, S. Nickovic, S. Basart, T. Black, J. M. Baldasano, N. Huneeus, Z. Janjic, O. Jorba, K. Haustein, C. Pérez, M. Schulz, M. Thomson
Publikováno v:
Atmospheric Chemistry and Physics, Vol 11, Iss 24, Pp 13001-13027 (2011)
We describe and evaluate the NMMB/BSC-Dust, a new dust aerosol cycle model embedded online within the NCEP Non-hydrostatic Multiscale Model (NMMB). NMMB is a further evolution of the operational Non-hydrostatic Mesoscale Model (WRF-NMM), which togeth
Externí odkaz:
https://doaj.org/article/9f005b3088de4ec4b7917201ce5b6a45