Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mark Liniger"'
Autor:
Ole Rössler, Sven Kotlarski, Andreas M. Fischer, Denise Keller, Mark Liniger, Rolf Weingartner
Publikováno v:
Climate Services, Vol 13, Iss , Pp 1-13 (2019)
The availability of new climate greenhouse gas scenario data often prompts the question in what respect the new data provide added value with respect to previous versions and whether or not impact models have to be rerun with the new climatic forcing
Externí odkaz:
https://doaj.org/article/21dda51e358344a48998793299d24801
Autor:
Stefanie Gubler, Andrea Rossa, Grinia Avalos, Stefan Brönnimann, Katy Cristobal, Mischa Croci-Maspoli, Marlene Dapozzo, Andrea van der Elst, Yury Escajadillo, Moritz Flubacher, Teresa Garcia, Noemi Imfeld, Thomas Konzelmann, Filippo Lechthaler, Mark Liniger, Karim Quevedo, Hugo Ramos, Mario Rohrer, Cornelia Schwierz, Katrin Sedlmeier, Christoph Spirig, Sara de Ventura, Brigitte Wüthrich
Publikováno v:
Climate Services, Vol 20, Iss , Pp 100195- (2020)
The development and dissemination of weather and climate information is crucial to improve people’s resilience and adaptability to climate variability and change. The impacts of climate variability and change are generally stronger for disadvantage
Externí odkaz:
https://doaj.org/article/00886e93b1fd456c93e9cbcedb5c40e2
Hourly wind forecasts from numerical weather prediction models suffer from a range of systematic and random errors that are to a great extent related to limitations in the model grid resolution. To correct for such biases, statistical postprocessing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4010f09318eef29846544f7e7e69379b
https://doi.org/10.5194/ems2021-277
https://doi.org/10.5194/ems2021-277
Over the last decades ensemble approaches have become state-of-the-art for the quantification of weather forecast uncertainty. Despite ongoing improvements, ensemble forecasts issued by numerical weather prediction models (NWPs) still tend to be bias
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02a1e97a86c4705e3a9023cd89adcc26
https://doi.org/10.5194/egusphere-egu2020-17886
https://doi.org/10.5194/egusphere-egu2020-17886
Autor:
Jan Rajczak, Regula Keller, Jonas Bhend, Christoph Spirig, Stephan Hemri, Lionel Moret, Mark Liniger
MeteoSwiss is currently developing a post-processing suite for the territory of Switzerland. The system aims to provide optimized multi-variable (i.e. temperature, precipitation, wind and cloud cover), spatial and probabilistic predictions. The syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5979f599dec5eac6b7f40309296376c6
https://doi.org/10.5194/egusphere-egu2020-22298
https://doi.org/10.5194/egusphere-egu2020-22298
Weather forecasts have been steadily improving in quality over the last decades. These ongoing improvements are due to advances in numerical weather prediction (NWP) and the advent of ever more powerful supercomputers that allow simulating future wea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91fdb6ed735094533d26274a0afc8be5
https://doi.org/10.5194/egusphere-egu2020-11422
https://doi.org/10.5194/egusphere-egu2020-11422