Results 181 to 190 of about 195,443 (302)

Arctic Ocean annual high in p C O 2 could shift from winter to summer. [PDF]

Nature, 2022
Orr JC, Kwiatkowski L, Pörtner HO.
europepmc   +1 more source

Stratospheric and tropospheric seasonality and its implications for observation requirements in numerical weather prediction

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Daily time series of zonal‐mean zonal wind (m·s−1) at 10 hPa and 60° N from 1950 to 2021 from the ERA5 reanalysis. This shows huge variability in some seasons and very little in others. We provide evidence that high‐level observations, radiosonde and satellite, are more important during the extended winter season with its very large variability ...
Bruce Ingleby, Inna Polichtchouk
wiley   +1 more source

Nitrogen Fixation Potential in Bathypelagic Sediment of the Ice-Covered Arctic Ocean Revealed Through Long-Term Stable Isotope Incubations. [PDF]

Environ Microbiol Rep
von Friesen LW, Löscher CR, Bertilsson S, Farnelid H, Snoeijs-Leijonmalm P, Sundbom M, Traving SJ, Vermassen F, Riemann L.   +8 more
europepmc   +1 more source

Diagnosing the 11‐year solar cycle's influence on the East Atlantic pattern

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A previously unidentified solar‐cycle response in the East Atlantic pattern is found in late winter at lag +3 years with larger amplitude than the NAO response. A statistically significant NAO response to the solar cycle is seen in late winter at lag 0 years.
Stergios Misios, Paula L. M. Gonzalez, Lesley J. Gray, Scott Osprey, Hedi Ma   +4 more
wiley   +1 more source

Dynamics of diazotroph particle colonization in the Arctic Ocean. [PDF]

ISME J
Coët A, Bastos CC, Lechelon M, Hawley R, Flanagan O, Lohan MC, Ronceray P, Hopkins JE, Mahaffey C, Benavides M.   +9 more
europepmc   +1 more source

Multiomics in the central Arctic Ocean for benchmarking biodiversity change. [PDF]

PLoS Biol, 2022
Mock T, Boulton W, Balmonte JP, Barry K, Bertilsson S, Bowman J, Buck M, Bratbak G, Chamberlain EJ, Cunliffe M, Creamean J, Ebenhöh O, Eggers SL, Fong AA, Gardner J, Gradinger R, Granskog MA, Havermans C, Hill T, Hoppe CJM, Korte K, Larsen A, Müller O, Nicolaus A, Oldenburg E, Popa O, Rogge S, Schäfer H, Shoemaker K, Snoeijs-Leijonmalm P, Torstensson A, Valentin K, Vader A, Barry K, Chen IA, Clum A, Copeland A, Daum C, Eloe-Fadrosh E, Foster B, Foster B, Grigoriev IV, Huntemann M, Ivanova N, Kuo A, Kyrpides NC, Mukherjee S, Palaniappan K, Reddy TBK, Salamov A, Roux S, Varghese N, Woyke T, Wu D, Leggett RM, Moulton V, Metfies K.   +56 more
europepmc   +1 more source

A multimodel intercomparison study of variable‐resolution global models with grid refinement over the Arctic and Antarctic

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We document the protocol and first results from the first ever coordinated multimodel variable‐resolution experiment set with refinement over the polar regions. We find that the refinement generally yields model‐dependent effects. The most consistent improvement is an amelioration of the upper‐level cold bias in the polar regions that translates into ...
Lise Seland Graff, Dörthe Handorf, Raphael Köhler, Xavier Levine, René R. Wijngaard, Gareth J. Marshall, Alexey Yu. Karpechko, Ryan S. Williams, Priscilla A. Mooney   +8 more
wiley   +1 more source

Precession modulates the poleward expansion of atmospheric circulation to the Arctic Ocean. [PDF]

Nat Commun
Zhong Y, Lu Z, Kaboth-Bahr S, Yu J, Horikawa K, Dekkers MJ, Larrasoaña JC, Clift PD, Weber ME, Vermassen F, Kender S, Sun C, Yang H, Wang X, Andresen CS, Liu Y, Zhang H, Dai Z, Niu L, Zhang J, Feng X, Zhao D, Xia W, Yang S, Li H, Liu Q.   +25 more
europepmc   +1 more source

Exploiting Aeolus winds in a regional numerical weather prediction model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Aeolus measured winds have proven to be beneficial for global models. However, demonstrating positive impact for limited‐area models has been a challenge so far. For the first time, we have demonstrated a statistically significant positive impact of Aeolus winds in a limited‐area model by using the 4DVar data assimilation technique and the most recent ...
Gert‐Jan Marseille, Roohollah Azad, Martin Ridal, Susanna Hagelin   +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