Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Helene B Erlandsen"'
Publikováno v:
Environmental Research Letters, Vol 14, Iss 8, p 084017 (2019)
We test an equation for the probability of heavy 24 h precipitation amounts Pr ( X > x ) as a function of the wet-day frequency and the wet-day mean precipitation. The expression was evaluated against 9817 daily rain gauge records world-wide and was
Externí odkaz:
https://doaj.org/article/0942ed8eb1b64e6ca35105701a657d88
Autor:
Kajsa M. Parding, Andreas Dobler, Carol F. McSweeney, Oskar A. Landgren, Rasmus Benestad, Helene B. Erlandsen, Abdelkader Mezghani, Hilppa Gregow, Olle Räty, Elisabeth Viktor, Juliane El Zohbi, Ole B. Christensen, Harilaos Loukos
Publikováno v:
Climate Services, Vol 18, Iss , Pp 100167- (2020)
We present an interactive tool for selection and evaluation of global climate models. The tool is implemented as a web application using the ”Shiny” R-package and is available at https://gcmeval.met.no. Through this tool, climate models of the CM
Externí odkaz:
https://doaj.org/article/40dc65946ecb4af68b27f24ef8dce432
Autor:
Abdelkader Mezghani, Rasmus E. Benestad, Marie Pontoppidan, Kajsa M. Parding, Helene B. Erlandsen
Publikováno v:
Journal of Applied Meteorology and Climatology. 59:1793-1807
We used empirical–statistical downscaling in a pseudoreality context, in which both large-scale predictors and small-scale predictands were based on climate model results. The large-scale conditions were taken from a global climate model, and the s
Publikováno v:
Geophysical Research Letters. 46:7654-7662
Publikováno v:
Journal of Applied Meteorology and Climatology. 58:1509-1522
A method for empirical–statistical downscaling was adapted to project seasonal cyclone density over the North Atlantic Ocean. To this aim, the seasonal mean cyclone density was derived from instantaneous values of the 6-h mean sea level pressure (S
Autor:
Kajsa Parding, Oskar A. Landgren, Andreas Dobler, Carol F. McSweeney, Rasmus E. Benestad, Helene B. Erlandsen, Abdelkader Mezghani, Hilppa Gregow, Olle Räty, Elisabeth Viktor, Juliane El Zohbi, Ole Bøssing Christensen, Harilaos Loukos
We present the interactive web application GCMeval, available at https://gcmeval.met.no. The tool is a useful resource for climate services by illustrating how model selection affects representation of future climate change. GCMeval was developed in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8041738f0162844966a4a8a4996521c
https://doi.org/10.5194/egusphere-egu2020-19623
https://doi.org/10.5194/egusphere-egu2020-19623
Autor:
Oskar Landgren, Carol McSweeney, Abdelkader Mezghani, Elisabeth Viktor, Hilppa Gregow, Harilaos Loukos, Rasmus E. Benestad, Juliane El Zohbi, Andreas Dobler, Olle Räty, Kajsa M. Parding, Ole Bøssing Christensen, Helene B. Erlandsen
Publikováno v:
Climate Services, Vol 18, Iss, Pp 100167-(2020)
BASE-Bielefeld Academic Search Engine
Parding, K.M.; Dobler, A.; McSweeney, C.F.; Landgren, O.A.; Benestad, R.; Erlandsen, H.B.; Mezghani, A.; Gregow, H.; Räty, O.; Viktor, E.; El Zohbi, J.; Christensen, O.B.; Loukos, H.: GCMeval – An interactive tool for evaluation and selection of climate model ensembles. In: Climate Services. Vol. 18 (2020) 100167. (DOI: /10.1016/j.cliser.2020.100167)
BASE-Bielefeld Academic Search Engine
Parding, K.M.; Dobler, A.; McSweeney, C.F.; Landgren, O.A.; Benestad, R.; Erlandsen, H.B.; Mezghani, A.; Gregow, H.; Räty, O.; Viktor, E.; El Zohbi, J.; Christensen, O.B.; Loukos, H.: GCMeval – An interactive tool for evaluation and selection of climate model ensembles. In: Climate Services. Vol. 18 (2020) 100167. (DOI: /10.1016/j.cliser.2020.100167)
We present an interactive tool for selection and evaluation of global climate models. The tool is implemented as a web application using the ”Shiny” R-package and is available at https://gcmeval.met.no . Through this tool, climate models of the C
Autor:
Rasmus E. Benestad, Flavio Justino, Bob van Oort, Milton E. Pereira-Flores, Abdelkader Mezghani, Frode Stordal, Kajsa M. Parding, Jana Sillmann, Helene B. Erlandsen
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO)
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 4, Pp 37-52 (2018)
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 stat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b034da362c2fad7f77ff7ae94bc91188
https://www.adv-stat-clim-meteorol-oceanogr.net/4/37/2018/
https://www.adv-stat-clim-meteorol-oceanogr.net/4/37/2018/