Zobrazeno 1 - 10
of 206
pro vyhledávání: '"M Vrac"'
Publikováno v:
Environmental Research Letters, Vol 7, Iss 4, p 044019 (2012)
The potential natural vegetation (PNV) distribution is required for several studies in environmental sciences. Most of the available databases are quite subjective or depend on vegetation models. We have built a new high-resolution world-wide PNV map
Externí odkaz:
https://doaj.org/article/ec8556f455554525a5d39bd5da639779
Autor:
A. Grisart, M. Casado, V. Gkinis, B. Vinther, P. Naveau, M. Vrac, T. Laepple, B. Minster, F. Prié, B. Stenni, E. Fourré, H. C. Steen-Larsen, J. Jouzel, M. Werner, K. Pol, V. Masson-Delmotte, M. Hoerhold, T. Popp, A. Landais
Publikováno v:
Climate of the Past, Vol 18, Pp 2289-2301 (2022)
The EPICA Dome C (EDC) ice core provides the longest continuous climatic record, covering the last 800 000 years (800 kyr). A unique opportunity to investigate decadal to millennial variability during past glacial and interglacial periods is provided
Externí odkaz:
https://doaj.org/article/889a223592ed45d994f4d816c1cc86c5
Autor:
M. Dembélé, M. Vrac, N. Ceperley, S. J. Zwart, J. Larsen, S. J. Dadson, G. Mariéthoz, B. Schaefli
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 1481-1506 (2022)
A comprehensive evaluation of the impacts of climate change on water resources of the West Africa Volta River basin is conducted in this study, as the region is expected to be hardest hit by global warming. A large ensemble of 12 general circulation
Externí odkaz:
https://doaj.org/article/24df888eba204ea48f418444dac4aac0
Publikováno v:
Earth System Dynamics, Vol 12, Pp 1253-1273 (2021)
Bias correction and statistical downscaling are now regularly applied to climate simulations to make then more usable for impact models and studies. Over the last few years, various methods were developed to account for multivariate – inter-site or
Externí odkaz:
https://doaj.org/article/069405e5f91c4ed8b299b73e3007f028
Autor:
D. Faranda, M. Vrac, P. Yiou, F. M. E. Pons, A. Hamid, G. Carella, C. Ngoungue Langue, S. Thao, V. Gautard
Publikováno v:
Nonlinear Processes in Geophysics, Vol 28, Pp 423-443 (2021)
Recent advances in statistical and machine learning have opened the possibility of forecasting the behaviour of chaotic systems using recurrent neural networks. In this article we investigate the applicability of such a framework to geophysical flows
Externí odkaz:
https://doaj.org/article/0fd514d9bdc14187829eb4cca3f131a1
Publikováno v:
Weather and Climate Dynamics, Vol 2, Pp 893-912 (2021)
The Saharan heat low (SHL) is a key component of the West African Monsoon system at the synoptic scale and a driver of summertime precipitation over the Sahel region. Therefore, accurate seasonal precipitation forecasts rely in part on a proper repre
Externí odkaz:
https://doaj.org/article/d624edfe342e4a2abcda12280cfdcf6a
Publikováno v:
Ocean Science, Vol 17, Pp 1011-1030 (2021)
To derive an optimal observation system for surface ocean pCO2 in the Atlantic Ocean and the Atlantic sector of the Southern Ocean, 11 observation system simulation experiments (OSSEs) were completed. Each OSSE is a feedforward neural network (FFNN)
Externí odkaz:
https://doaj.org/article/cba0020c1afb4d26ba216ebd34ffae19
Publikováno v:
Geoscientific Model Development, Vol 13, Pp 5367-5387 (2020)
Over the last few years, multivariate bias correction methods have been developed to adjust spatial and/or inter-variable dependence properties of climate simulations. Most of them do not correct – and sometimes even degrade – the associated temp
Externí odkaz:
https://doaj.org/article/e43ecca261bd45db8305d4d65a6cf4f0
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 1765-1782 (2020)
Interacting storm surges and high water runoff can cause compound flooding (CF) in low-lying coasts and river estuaries. The large-scale CF hazard has been typically studied using proxies such as the concurrence of storm surge extremes either with pr
Externí odkaz:
https://doaj.org/article/78c8e12b13d84c62a6243ce21c267c66
Publikováno v:
Earth System Dynamics, Vol 11, Pp 537-562 (2020)
Climate models are the major tools to study the climate system and its evolutions in the future. However, climate simulations often present statistical biases and have to be corrected against observations before being used in impact assessments. Seve
Externí odkaz:
https://doaj.org/article/11d1cb4592f14790ab83d5c4c5f1d50f