Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Mark A. Liniger"'
Autor:
Silje Lund Sørland, Andreas M. Fischer, Sven Kotlarski, Hans R. Künsch, Mark A. Liniger, Jan Rajczak, Christoph Schär, Curdin Spirig, Kuno Strassmann, Reto Knutti
Publikováno v:
Climate Services, Vol 20, Iss , Pp 100196- (2020)
The latest Swiss Climate Scenarios (CH2018), released in November 2018, consist of several datasets derived through various methods that provide robust and relevant information on climate change in Switzerland. The scenarios build upon the regional c
Externí odkaz:
https://doaj.org/article/088d1c910f9b4b9cb0421f1b8af27a5d
Autor:
Grigory Nikulin, Shakeel Asharaf, María Eugenia Magariño, Sandro Calmanti, Rita M. Cardoso, Jonas Bhend, Jesús Fernández, María Dolores Frías, Kristina Fröhlich, Barbara Früh, Sixto Herrera García, Rodrigo Manzanas, José Manuel Gutiérrez, Ulf Hansson, Michael Kolax, Mark A. Liniger, Pedro M.M. Soares, Christoph Spirig, Ricardo Tome, Klaus Wyser
Publikováno v:
Climate Services, Vol 9, Iss , Pp 72-85 (2018)
Within the FP7 EUPORIAS project we have assessed the utility of dynamical and statistical downscaling to provide seasonal forecast for impact modelling in eastern Africa. An ensemble of seasonal hindcasts was generated by the global climate model (GC
Externí odkaz:
https://doaj.org/article/6a368e7a27ec49b8a5df1c74556213f9
Publikováno v:
Climate Services, Vol 15, Iss , Pp - (2019)
By whom are national climate scenarios taken up, and which products are used? Despite numerous (national) climate scenarios being published by countries across the globe, studies of their actual uptake and application remain low. Analysing a survey a
Externí odkaz:
https://doaj.org/article/6f6854d738bf4ba68f88263ac69d3997
Publikováno v:
Meteorologische Zeitschrift, Vol 16, Iss 2, Pp 171-181 (2007)
The aim of this paper is to compare long term changes derived from ERA-40 reanalysis with the corresponding changes found in carefully homogenized observational data. Focus is given on two climate key parameter, daily surface temperature (T2) and tot
Externí odkaz:
https://doaj.org/article/182212adf4f043dbb5ea541e85a6d7e5
Correctly representing surface wind is critical for applications such as renewable energy, snow modelling or warning systems. However, numerical weather prediction models with their limited resolution cannot fully represent the strong variability due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d3b071c55d7f1123facc9932c7a0fb8
https://doi.org/10.5194/egusphere-egu23-15152
https://doi.org/10.5194/egusphere-egu23-15152
Autor:
Daniele Nerini, Francesco Zanetta, Mathieu Schaer, Jonas Bhend, Christoph Spirig, Lionel Moret, Mark A. Liniger
Forecasting winds at the local scale can be challenging due to the highly variable and complex nature of wind patterns, particularly in the case of complex terrain. In such cases, the accuracy of numerical weather prediction models (NWPs) is often li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6241da2dd8da940e92f3019b02d81f47
https://doi.org/10.5194/egusphere-egu23-14973
https://doi.org/10.5194/egusphere-egu23-14973
Automated forecasting provides the basis for everyday forecast products used by a wide range of users. Continued progress in numerical weather prediction allows to produce local forecasts with considerable accuracy. To further reduce systematic error
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7240cbf56a55ebab7750d027fd7c69bb
https://doi.org/10.5194/ems2022-330
https://doi.org/10.5194/ems2022-330
Objective forecast verification provides the basis to motivate changes to the forecast system. At MeteoSwiss, we are introducing statistical ensemble postprocessing into our automated forecast production. These automated forecasts are accessed by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::850e07b5b4b8701bb0dbeef09422b34d
https://doi.org/10.5194/ems2022-332
https://doi.org/10.5194/ems2022-332
Autor:
Stephan Hemri, Jonas Bhend, Christoph Spirig, Daniele Nerini, Lionel Moret, Reinhard Furrer, Mark A. Liniger
Probabilistic predictions of precipitation call for rather sophisticated postprocessing approaches due to its low predictability, high spatio-temporal variability and highly positive skewness. Moreover, the large number of zeros makes the generation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3752d7a317c28d7707b188224ccddd4c
https://doi.org/10.5194/ems2022-427
https://doi.org/10.5194/ems2022-427
Lessons learnt from implementing a postprocessing suite for probabilistic seamless weather forecasts
Autor:
Christoph Spirig, Jonas Bhend, Stephan Hemri, Jan Rajczak, Daniele Nerini, Lionel Moret, Mark A. Liniger
MeteoSwiss is currently implementing a new NWP postprocessing suite for providing automated local weather forecasts to the general public. As these forecasts are nowadays mainly accessed via smartphone app, we aimed at global postprocessing approache
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98a87ba44548c54a2aa0d86617750df1
https://doi.org/10.5194/ems2022-377
https://doi.org/10.5194/ems2022-377