Results 181 to 190 of about 194,261 (304)

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

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

Sensitivity of flower trade‐wind cloud organisation to mesoscale atmospheric heterogeneities

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Trade‐wind cloud organisation is insensitive to dynamical and thermal heterogeneities but very sensitive to humidity mesoscale heterogeneities, especially in the cloud layer, where they form moist patches, and not in the sub‐cloud layer. Clouds and rain develop in moist patches, then cold pools develop progressively, initiating mesoscale circulations ...
Thibaut Dauhut, Fleur Couvreux, Dominique Bouniol   +2 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

Modulation of North Atlantic atmospheric rivers by the Gulf Stream

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Gulf Stream ocean variability plays a key role in modulating atmospheric river (AR) activity over the North Atlantic during winter and spring at monthly time‐scales. Increased ocean heat transport and mesoscale activity in the Gulf Stream are linked to northward shifts in ARs, while stronger surface heat fluxes drive ARs southward.
Ferran Lopez‐Marti, Arnaud Czaja, Gabriele Messori, Anna Rutgersson   +3 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

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

Microphysical chemistry of fog–aerosol interactions over the northwest Atlantic Ocean during Fatima 2022

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Fifteen size‐resolved aerosol samples collected during marine fog, with adjacent ambient observations, show that coarse sea salt aerosol is rapidly grown and lost in the northwest North Atlantic Ocean except when subject to extreme winds. The persistence of fog in the absence of sea salt is determined by available fine‐mode aerosol, where greater ...
Leyla Salehpoor, Leigh R. Crilley, Gianina Giacosa, Lauren Robinson, Rachel Y. W. Chang, David G. Ortiz‐Suslow, Ryan Yamaguchi, Qing Wang, Ed Creegan, Harindra J. S. Fernando, Trevor C. VandenBoer   +10 more
wiley   +1 more source

Convergent evolution and horizontal gene transfer in Arctic Ocean microalgae. [PDF]

Life Sci Alliance, 2023
Dorrell RG, Kuo A, Füssy Z, Richardson EH, Salamov A, Zarevski N, Freyria NJ, Ibarbalz FM, Jenkins J, Pierella Karlusich JJ, Stecca Steindorff A, Edgar RE, Handley L, Lail K, Lipzen A, Lombard V, McFarlane J, Nef C, Novák Vanclová AM, Peng Y, Plott C, Potvin M, Vieira FRJ, Barry K, de Vargas C, Henrissat B, Pelletier E, Schmutz J, Wincker P, Dacks JB, Bowler C, Grigoriev IV, Lovejoy C.   +32 more
europepmc   +1 more source

Polar‐low track prediction using machine‐learning methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang, Rune Grand Graversen, Filippo Maria Bianchi, Jiping Liu, Ruibo Lei   +4 more
wiley   +1 more source