Results 111 to 120 of about 17,025 (257)

Sensitivity of Irish Pyrenopeziza brassicae populations to methyl benzimidazole carbamate (MBC), quinone outside inhibitor (QoI) and succinate dehydrogenase inhibitor (SDHI) fungicides

Pest Management Science, EarlyView.
For three collections of Irish Pyrenopeziza brassicae populations fungicide sensitivity status to methyl benzimidazole carbamate (MBC), quinone outside inhibitor (QoI) and succinate dehydrogenase inhibitor (SDHI) fungicides was determined using sensitivity screening in vitro. Molecular mechanisms of insensitivity have been identified for MBC and QoI in
Diana E Bucur, Yong‐Ju Huang, Bruce DL Fitt, Steven Kildea   +3 more
wiley   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

Towards improving Arctic mixed‐phase cloud representation in the ECMWF model using MOSAiC observations

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Abstract The presence of Arctic clouds plays a crucial role in the evolution of the surface temperature of Arctic sea ice. However, large biases in cloud representation remain in state‐of‐the‐art weather and climate models. In this study, we use observational data from the one‐year Arctic ship campaign Multi‐disciplinary drifting Observatory for the ...
Luise Schulte, Richard Forbes, Linus Magnusson, Vera Schemann, Jonathan Day, Susanne Crewell   +5 more
wiley   +1 more source

Antarctic Circumpolar Current creates a boundary limiting the meridional dispersal of bacteria in the Southern Ocean

mLife, EarlyView.
Siqi Lin, Yanru Dang, Yu Wang, Ninghua Liu, Chunyang Li, Pingyi Li, Xiying Zhang, Xiulan Chen, Yu Xin, Li Liao, Andrew McMinn, Yuzhong Zhang, Qi‐Long Qin   +12 more
wiley   +1 more source

The benefits of a hybrid‐3DEnVar data assimilation scheme for the convection‐permitting NWP model AROME–Austria

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The climatological‐error covariance matrix used in three‐dimensional variational data assimilation (3DVar) provides smooth and isotropic increments spread to long distances. In contrast, three‐dimensional ensemble variational data assimilation (3DEnVar) with a purely ensemble‐error covariance matrix provides inhomogeneous increments and contains the ...
Kaushambi Jyoti, Philipp Griewank, Florian Meier, Martin Weissmann   +3 more
wiley   +1 more source

Impact of data assimilation on Arctic sea‐ice thickness variability and its coupling with atmospheric forcing

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document for the first time how the assimilation of CS2SMOS observations improves the model representation of Arctic sea‐ice thickness (SIT) and its variability: biases are reduced (top row), while excessive variability in the Beaufort Sea and lack of variability in the ice pack are both corrected (bottom row).
Jiping Xie, Yue Ying, Richard Davy, Laurent Bertino   +3 more
wiley   +1 more source

Nanoplastic concentration and potential transport in the Arctic Ocean. [PDF]

NPJ Emerg Contam
Cai H, Carrier-Belleau C, Guilmette C, Massicotte P, Luthi-Maire A, Gigault J.   +5 more
europepmc   +1 more source

Forecast‐Error Diagnostics in Neural Weather Models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan, Gregor Skok, Žiga Zaplotnik   +2 more
wiley   +1 more source

High productivity and multilayered circulation in the Late Cretaceous Arctic Ocean. [PDF]

Sci Adv
Liu S, Van Rooij D, Chen M, Fan H, Li G, Shi Y, Liu Y, Ng ZL, Luo K, Lin L, Zhuo H.   +10 more
europepmc   +1 more source

Epistemic and aleatoric uncertainty quantification in weather and climate models

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aleatoric and epistemic uncertainties over time on weather and climate time‐scales, estimated through ensembles that sample aleatoric and epistemic uncertainty using Bayesian neural networks for parameterisations in the Lorenz 1996 model. The spread shows the 16th and 84th percentiles.
Laura A. Mansfield, Hannah M. Christensen   +1 more
wiley   +1 more source