Zobrazeno 1 - 10
of 198
pro vyhledávání: '"A. Y.-Y. Chang"'
Autor:
L. J. Slater, L. Arnal, M.-A. Boucher, A. Y.-Y. Chang, S. Moulds, C. Murphy, G. Nearing, G. Shalev, C. Shen, L. Speight, G. Villarini, R. L. Wilby, A. Wood, M. Zappa
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 1865-1889 (2023)
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety of predictions from dynamical, physics-based models – such as numerical weather prediction, climate, land
Externí odkaz:
https://doaj.org/article/a3319d8c27b9466ea2e0d6a22320a892
Autor:
T. Kurz, T. Heinemann, M. F. Gilljohann, Y. Y. Chang, J. P. Couperus Cabadağ, A. Debus, O. Kononenko, R. Pausch, S. Schöbel, R. W. Assmann, M. Bussmann, H. Ding, J. Götzfried, A. Köhler, G. Raj, S. Schindler, K. Steiniger, O. Zarini, S. Corde, A. Döpp, B. Hidding, S. Karsch, U. Schramm, A. Martinez de la Ossa, A. Irman
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
Particle accelerators based on laser- or electron-driven plasma waves promise compact sources for relativistic electron bunches. Here, Kurz and Heinemann et al. demonstrate a hybrid two-stage configuration, combining the individual features of both a
Externí odkaz:
https://doaj.org/article/50ea584b3fe34925ab5e0db1d7702567
Autor:
F. M. Foerster, A. Döpp, F. Haberstroh, K. v. Grafenstein, D. Campbell, Y.-Y. Chang, S. Corde, J. P. Couperus Cabadağ, A. Debus, M. F. Gilljohann, A. F. Habib, T. Heinemann, B. Hidding, A. Irman, F. Irshad, A. Knetsch, O. Kononenko, A. Martinez de la Ossa, A. Nutter, R. Pausch, G. Schilling, A. Schletter, S. Schöbel, U. Schramm, E. Travac, P. Ufer, S. Karsch
Publikováno v:
Physical Review X, Vol 12, Iss 4, p 041016 (2022)
We present experimental results on a plasma wakefield accelerator (PWFA) driven by high-current electron beams from a laser wakefield accelerator (LWFA). In this staged setup stable and high-quality (low-divergence and low energy spread) electron bea
Externí odkaz:
https://doaj.org/article/3fa23bbdddf44168ae7322c4d4f8890e
Autor:
Louise J. Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, Massimiliano Zappa
Publikováno v:
Hydrology and Earth System Sciences, 27 (9)
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety ofpredictions from dynamical, physics-based models - such as numerical weather prediction, climate, land, h
Autor:
Annie Y.-Y. Chang, Konrad Bogner, Maria-Helena Ramos, Shaun Harrigan, Daniela I.V. Domeisen, Massimiliano Zappa
Historically, Switzerland and the nearby alpine countries have not been associated with major droughts. However, in recent years, the European Alpine space has experienced several unprecedented low-flow conditions and drought events. As many economic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d2dacd5a10f478ce219c1f0fbc3a58b
https://doi.org/10.5194/egusphere-egu23-12694
https://doi.org/10.5194/egusphere-egu23-12694
Autor:
Konrad Bogner, Annie Y.-Y. Chang, Luzi Bernhard, Massimiliano Zappa, Samuel Monhart, Christoph Spirig
Publikováno v:
Journal of Hydrometeorology. 23:521-539
Medium to subseasonal hydrological forecasts contain more information relevant to water and environmental management tasks than climatological forecasts. However, extracting this information at the most appropriate level of accuracy and spatiotempora
The skill of hydro-meteorological forecasts usually drops to zero at horizons beyond 10 to 14 days and predictions of daily values with a lead-time of more than two weeks deceive an unrealistic reliability and accuracy. However, the advances of ensem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a61e1389cac1f4aeb44e1bf931817af1
https://doi.org/10.5194/iahs2022-104
https://doi.org/10.5194/iahs2022-104
Switzerland and the nearby alpine countries are not commonly associated with the occurrence of droughts, but in recent years, Switzerland has experienced several unprecedented drought events. As many sectors in the European Alps depend heavily on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a27b65bef047f9045fc8a9c39f27c679
https://doi.org/10.5194/iahs2022-113
https://doi.org/10.5194/iahs2022-113
Autor:
Louise Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, Massimiliano Zappa
Hybrid hydroclimatic forecasting systems employ data-driven (statistical or machine learning) methods to harness and integrate a broad variety of predictions from dynamical, physics-based models – such as numerical weather prediction, climate, land
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fc532ee7007b3a8690f7000f9ac7e65
https://doi.org/10.5194/hess-2022-334
https://doi.org/10.5194/hess-2022-334
Publikováno v:
Journal of Dental Research. 100:1178-1185
In compromised bone conditions such as osteoporosis, developments of the implant surface are necessary to secure the stability of implants. This study investigated the effect of the surface porous titanium structure (PS) on the osseointegration of im