Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Taillardat, P."'
Accurate precipitation forecasts have a high socio-economic value due to their role in decision-making in various fields such as transport networks and farming. We propose a global statistical postprocessing method for grid-based precipitation ensemb
Externí odkaz:
http://arxiv.org/abs/2407.02125
Proper scoring rules are an essential tool to assess the predictive performance of probabilistic forecasts. However, propriety alone does not ensure an informative characterization of predictive performance and it is recommended to compare forecasts
Externí odkaz:
http://arxiv.org/abs/2407.00650
The theoretical advances on the properties of scoring rules over the past decades have broadened the use of scoring rules in probabilistic forecasting. In meteorological forecasting, statistical postprocessing techniques are essential to improve the
Externí odkaz:
http://arxiv.org/abs/2205.04360
Autor:
Gloria M. S. Reithmaier, Alex Cabral, Anirban Akhand, Matthew J. Bogard, Alberto V. Borges, Steven Bouillon, David J. Burdige, Mitchel Call, Nengwang Chen, Xiaogang Chen, Luiz C. Cotovicz, Meagan J. Eagle, Erik Kristensen, Kevin D. Kroeger, Zeyang Lu, Damien T. Maher, J. Lucas Pérez-Lloréns, Raghab Ray, Pierre Taillardat, Joseph J. Tamborski, Rob C. Upstill-Goddard, Faming Wang, Zhaohui Aleck Wang, Kai Xiao, Yvonne Y. Y. Yau, Isaac R. Santos
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-8 (2023)
Abstract Mangroves and saltmarshes are biogeochemical hotspots storing carbon in sediments and in the ocean following lateral carbon export (outwelling). Coastal seawater pH is modified by both uptake of anthropogenic carbon dioxide and natural bioge
Externí odkaz:
https://doaj.org/article/b36b708e619143e09bb1ab826543d593
Autor:
A. Prijac, L. Gandois, P. Taillardat, M.-A. Bourgault, K. Riahi, A. Ponçot, A. Tremblay, M. Garneau
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 3935-3955 (2023)
The magnitudes of dissolved organic carbon (DOC) exports from boreal peatlands to streams through lateral subsurface flow vary during the ice-free season. Peatland water table depth and the alternation of low and high flow in peat-draining streams ar
Externí odkaz:
https://doaj.org/article/b184700576654a5ea62af23b1fd842ef
Autor:
M. F. Adame, N. Cormier, P. Taillardat, N. Iram, A. Rovai, T. M. Sloey, E. S. Yando, J. F. Blanco‐Libreros, M. Arnaud, T. Jennerjahn, C. E. Lovelock, D. Friess, G. M. S. Reithmaier, C. A. Buelow, S. M. Muhammad‐Nor, R. R. Twilley, R. A. Ribeiro
Publikováno v:
Ecosphere, Vol 15, Iss 3, Pp n/a-n/a (2024)
Abstract Mangroves are one of the most carbon‐dense forests on the Earth and have been highlighted as key ecosystems for climate change mitigation and adaptation. Hundreds of studies have investigated how mangroves fix, transform, store, and export
Externí odkaz:
https://doaj.org/article/e39606cfb86147e2a5e65e4f0125e544
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
Autor:
J. Demaeyer, J. Bhend, S. Lerch, C. Primo, B. Van Schaeybroeck, A. Atencia, Z. Ben Bouallègue, J. Chen, M. Dabernig, G. Evans, J. Faganeli Pucer, B. Hooper, N. Horat, D. Jobst, J. Merše, P. Mlakar, A. Möller, O. Mestre, M. Taillardat, S. Vannitsem
Publikováno v:
Earth System Science Data, Vol 15, Pp 2635-2653 (2023)
Statistical postprocessing of medium-range weather forecasts is an important component of modern forecasting systems. Since the beginning of modern data science, numerous new postprocessing methods have been proposed, complementing an already very di
Externí odkaz:
https://doaj.org/article/144bb11863294241bac719d5cb6e5518
Autor:
Gloria M. S. Reithmaier, Alex Cabral, Anirban Akhand, Matthew J. Bogard, Alberto V. Borges, Steven Bouillon, David J. Burdige, Mitchel Call, Nengwang Chen, Xiaogang Chen, Luiz C. Cotovicz, Meagan J. Eagle, Erik Kristensen, Kevin D. Kroeger, Zeyang Lu, Damien T. Maher, J. Lucas Pérez-Lloréns, Raghab Ray, Pierre Taillardat, Joseph J. Tamborski, Rob C. Upstill-Goddard, Faming Wang, Zhaohui Aleck Wang, Kai Xiao, Yvonne Y. Y. Yau, Isaac R. Santos
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/cccb4e51416e4b9aad5650c8a5e76708
Verifying probabilistic forecasts for extreme events is a highly active research area because popular media and public opinions are naturally focused on extreme events, and biased conclusions are readily made. In this context, classical verification
Externí odkaz:
http://arxiv.org/abs/1905.04022