Zobrazeno 1 - 10
of 18
pro vyhledávání: '"R. E. Benestad"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 3719-3732 (2023)
Intensity–duration–frequency (IDF) statistics describing extreme rainfall intensities in Norway were analysed with the purpose of investigating how the shape of the curves is influenced by geographical conditions and local climate characteristics
Externí odkaz:
https://doaj.org/article/b1f88d3db3884d45b637b21b5585918c
Publikováno v:
Geoscientific Model Development, Vol 16, Pp 2899-2913 (2023)
We present a framework for evaluating multi-model ensembles based on common empirical orthogonal functions (common EOFs) that emphasize salient features connected to spatio-temporal covariance structures embedded in large climate data volumes. This f
Externí odkaz:
https://doaj.org/article/bbbfbed76c0145b884646fc051f28df7
Autor:
M. B. Rashid, S. S. Hossain, M. A. Mannan, K. M. Parding, H. O. Hygen, R. E. Benestad, A. Mezghani
Publikováno v:
Advances in Science and Research, Vol 18, Pp 99-114 (2021)
The climate of Bangladesh is very likely to be influenced by global climate change. To quantify the influence on the climate of Bangladesh, Global Climate Models were downscaled statistically to produce future climate projections of maximum temperatu
Externí odkaz:
https://doaj.org/article/f44a6f2907164a60af26cd269c1a331f
Autor:
R. E. Benestad, B. van Oort, F. Justino, F. Stordal, K. M. Parding, A. Mezghani, H. B. Erlandsen, J. Sillmann, M. E. Pereira-Flores
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 4, Pp 37-52 (2018)
A methodology for estimating and downscaling the probability associated with the duration of heatwaves is presented and applied as a case study for Indian wheat crops. These probability estimates make use of empirical-statistical downscaling and s
Externí odkaz:
https://doaj.org/article/77ebd27d87064ec783c7c6b6b4699b01
Autor:
A. Mezghani, A. Dobler, J. E. Haugen, R. E. Benestad, K. M. Parding, M. Piniewski, I. Kardel, Z. W. Kundzewicz
Publikováno v:
Earth System Science Data, Vol 9, Pp 905-925 (2017)
The CHASE-PL (Climate change impact assessment for selected sectors in Poland) Climate Projections – Gridded Daily Precipitation and Temperature dataset 5 km (CPLCP-GDPT5) consists of projected daily minimum and maximum air temperatures and prec
Externí odkaz:
https://doaj.org/article/505b3e37a3b44a068e8b709e52122af7
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 17, Pp 993-1001 (2017)
We present estimates of future 20-year return values for 24 h precipitation based on multi-model ensembles of temperature projections and a crude method to quantify how warmer conditions may influence precipitation intensity. Our results suggest a
Externí odkaz:
https://doaj.org/article/a6c959d79234414e97d0e7b9529d11be
Publikováno v:
Earth System Dynamics, Vol 7, Iss 4, Pp 851-861 (2016)
We show how factorial regression can be used to analyse numerical model experiments, testing the effect of different model settings. We analysed results from a coupled atmosphere–ocean model to explore how the different choices in the experimental
Externí odkaz:
https://doaj.org/article/aa802650eecc4fb1b0e5161fb18ae003
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 64, Iss 0, Pp 1-14 (2012)
The characteristics associated with an exponential distribution is used as a yard stick to assess distributions for 24-hr precipitation records from 13 771 rain gauges from mainly the USA and Europe. It is shown that the daily accumulated precipitati
Externí odkaz:
https://doaj.org/article/ec80e823252c491da1ad5eac549efcd6
Autor:
R. E. Benestad
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 9, Iss 2, Pp 635-645 (2009)
The proposition that the rate of tropical cyclogenesis increases with the size of the "warm pool" is tested by comparing the seasonal variation of the warm pool area with the seasonality of the number of tropical cyclones. An analysis based on empiri
Externí odkaz:
https://doaj.org/article/6ba5c53296794e1d9f370d722d9dbe34
