Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Hemri Stephan"'
Publikováno v:
Quarterly Journal of the Royal Meteorological Society 149 (2023), no. 752, 856-877
An influential step in weather forecasting was the introduction of ensemble forecasts in operational use due to their capability to account for the uncertainties in the future state of the atmosphere. However, ensemble weather forecasts are often und
Externí odkaz:
http://arxiv.org/abs/2206.10237
Autor:
Keller, Regula, Rajczak, Jan, Bhend, Jonas, Spirig, Christoph, Hemri, Stephan, Liniger, Mark A., Wernli, Heini
Statistical postprocessing is routinely applied to correct systematic errors of numerical weather prediction models (NWP) and to automatically produce calibrated local forecasts for end-users. Postprocessing is particularly relevant in complex terrai
Externí odkaz:
http://arxiv.org/abs/2008.07857
Autor:
Vannitsem, Stéphane, Bremnes, John Bjørnar, Demaeyer, Jonathan, Evans, Gavin R., Flowerdew, Jonathan, Hemri, Stephan, Lerch, Sebastian, Roberts, Nigel, Theis, Susanne, Atencia, Aitor, Bouallègue, Zied Ben, Bhend, Jonas, Dabernig, Markus, De Cruz, Lesley, Hieta, Leila, Mestre, Olivier, Moret, Lionel, Plenković, Iris Odak, Schmeits, Maurice, Taillardat, Maxime, Bergh, Joris Van den, Van Schaeybroeck, Bert, Whan, Kirien, Ylhaisi, Jussi
Statistical postprocessing techniques are nowadays key components of the forecasting suites in many National Meteorological Services (NMS), with for most of them, the objective of correcting the impact of different types of errors on the forecasts. T
Externí odkaz:
http://arxiv.org/abs/2004.06582
Publikováno v:
Water Resources Research 55 (2019), no. 5, 3997-4013
Accurate and reliable probabilistic forecasts of hydrological quantities like runoff or water level are beneficial to various areas of society. Probabilistic state-of-the-art hydrological ensemble prediction models are usually driven with meteorologi
Externí odkaz:
http://arxiv.org/abs/1809.04000
Autor:
Vannitsem, Stéphane, Bremnes, John Bjørnar, Demaeyer, Jonathan, Evans, Gavin R., Flowerdew, Jonathan, Hemri, Stephan, Lerch, Sebastian, Roberts, Nigel, Theis, Susanne, Atencia, Aitor, Bouallègue, Zied Ben, Bhend, Jonas, Dabernig, Markus, De Cruz, Lesley, Hieta, Leila, Mestre, Olivier, Moret, Lionel, Plenković, Iris Odak, Schmeits, Maurice, Taillardat, Maxime, Van den Bergh, Joris, Van Schaeybroeck, Bert, Whan, Kirien, Ylhaisi, Jussi
Publikováno v:
Bulletin of the American Meteorological Society, 2021 Mar 01. 102(3), E681-E699.
Externí odkaz:
https://www.jstor.org/stable/27207306
Akademický článek
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Autor:
Hemri, Stephan1 (AUTHOR) stephan.hemri@meteoswiss.ch, Bhend, Jonas1 (AUTHOR), Liniger, Mark A.1 (AUTHOR), Manzanas, Rodrigo2 (AUTHOR), Siegert, Stefan3 (AUTHOR), Stephenson, David B.3 (AUTHOR), Gutiérrez, José M.4 (AUTHOR), Brookshaw, Anca5 (AUTHOR), Doblas-Reyes, Francisco J.6,7 (AUTHOR)
Publikováno v:
Climate Dynamics. Sep2020, Vol. 55 Issue 5/6, p1141-1157. 17p.
Autor:
A Liniger Mark, Hemri Stephan, Moret Lionel, Jan Rajczak, Bhend Jonas, Keller Regula, Spirig Christoph
MeteoSwiss is developing and implementing a post-processing suite of multi-model ensemble forecasts to produce seamless probabilistic calibrated forecasts at arbitrary locations in Switzerland (i.e. also for un-observed locations). With the complex t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36a85a6b618fb188fe32b0252acecec2
https://doi.org/10.5194/egusphere-egu21-9487
https://doi.org/10.5194/egusphere-egu21-9487
Akademický článek
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