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| Lauvset, S. K.; Carter, B. R.; Perez, Ff; Jiang, L-q; Feely, R. A.; Velo, A.; Olsen, A.. |
| Ocean acidification evolves on the background of a natural ocean pH gradient that is the result of the interplay between ocean mixing, biological production and remineralization, calcium carbonate cycling, and temperature and pressure changes across the water column. While previous studies have analyzed these processes and their impacts on ocean carbonate chemistry, none have attempted to quantify their impacts on interior ocean pH globally. Here we evaluate how anthropogenic changes and natural processes collectively act on ocean pH, and how these processes set the vulnerability of regions to future changes in ocean acidification. We use the mapped data product from the Global Ocean Data Analysis Project version 2, a novel method to estimate preformed... |
| Tipo: Text |
Palavras-chave: PH; Remineralization; CaCO3; Anthropogenic; Global ocean. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00676/78793/81066.pdf |
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| Carter, B. R.; Toggweiler, J. R.; Key, R. M.; Sarmiento, J. L.. |
| We introduce a composite tracer for the marine system, Alk*, that has a global distribution primarily determined by CaCO3 precipitation and dissolution. Alk* is also affected by riverine alkalinity from dissolved terrestrial carbonate minerals. We estimate that the Arctic receives approximately twice the riverine alkalinity per unit area as the Atlantic, and 8 times that of the other oceans. Riverine inputs broadly elevate Alk* in the Arctic surface and particularly near river mouths. Strong net carbonate precipitation results in low Alk* in subtropical gyres, especially in the Indian and Atlantic oceans. Upwelling of dissolved CaCO3-rich deep water elevates North Pacific and Southern Ocean Alk*. We use the Alk* distribution to estimate the variability of... |
| Tipo: Text |
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| Ano: 2014 |
URL: https://archimer.ifremer.fr/doc/00292/40351/38922.pdf |
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| Arndt, D. S.; Blunden, J.; Dunn, R. J. H.; Stanitski, D. M.; Gobron, N.; Willett, K. M.; Sanchez-lugo, A.; Berrisford, P.; Morice, C.; Nicolas, Jp; Carrea, L.; Woolway, R. I.; Merchant, C. J.; Dokulil, M. T.; De Eyto, E.; Degasperi, C. L.; Korhonen, J.; Marszelewski, W.; May, L.; Paterson, A. M.; Rusak, J. A.; Schladow, S. G.; Schmid, M.; Verburg, P.; Watanabe, S.; Weyhenmeyer, G. A.; King, A. D.; Donat, M. G.; Christy, J. R.; Po-chedley, S.; Mears, C. R.; Haimberger, L.; Covey, C.; Randel, W.; Noetzli, J.; Biskaborn, B. K.; Christiansen, H. H.; Isaksen, K.; Schoeneich, P.; Smith, S.; Vieira, G.; Zhao, L.; Streletskiy, D. A.; Robinson, D. A.; Pelto, M.; Berry, D. I.; Bosilovich, M. G.; Simmons, A. J.; Mears, C.; Ho, S. P.; Bock, O.; Zhou, X.; Nicolas, J; Vose, R. S.; Adler, R.; Gu, G.; Becker, A.; Yin, X; Tye, M. R.; Blenkinsop, S.; Bosilovich, M. G.; Durre, I.; Ziese, M.; Collow, A. B. Marquardt; Rustemeier, E.; Foster, M. J.; Di Girolamo, L.; Frey, R. A.; Heidinger, A. K.; Sun-mack, S.; Phillips, C.; Menzel, W. P.; Stengel, M.; Zhao, G.; Kim, H.; Rodell, M.; Li, B.; Famiglietti, J. S.; Scanlon, T.; Van Der Schalie, R.; Preimesberger, W.; Reimer, C.; Hahn, S.; Gruber, A.; Kidd, R.; De Jeu, R. A. M.; Dorigo, W. A.; Barichivich, J.; Osborn, T. J.; Harris, I.; Van Der Schrier, G.; Jones, P. D.; Miralles, D. G.; Martens, B.; Beck, H. E.; Dolman, A. J.; Jimenez, C.; Mccabe, M. F.; Wood, E. F.; Allan, R.; Azorin-molina, C.; Mears, C. A.; Mcvicar, T. R.; Mayer, M.; Schenzinger, V.; Hersbach, H.; Stackhouse, P. W., Jr.; Wong, T.; Kratz, D. P.; Sawaengphokhai, P.; Wilber, A. C.; Gupta, S. K.; Loeb, N. G.; Dlugokencky, E. J.; Hall, B. D.; Montzka, S. A.; Dutton, G.; Muhle, J.; Elkins, J. W.; Miller, Br; Remy, S.; Bellouin, N.; Kipling, Z.; Ades, M.; Benedetti, A.; Boucher, O.; Weber, M.; Steinbrecht, W.; Arosio, C.; Van Der A, R.; Frith, S. M.; Anderson, J.; Coldewey-egbers, M.; Davis, S.; Degenstein, D.; Fioletov, V. E.; Froidevaux, L.; Hubert, D.; Long, C. S.; Loyola, D.; Rozanov, A.; Roth, C.; Sofieva, V.; Tourpali, K.; Wang, R.; Wild, J. D.; Davis, S. M.; Rosenlof, K. H.; Hurst, D. F.; Selkirk, H. B.; Vomel, H.; Ziemke, J. R.; Cooper, O. R.; Flemming, J.; Inness, A.; Pinty, B.; Kaiser, J. W.; Van Der Werf, G. R.; Hemming, D. L.; Garforth, J.; Park, T.; Richardson, A. D.; Rutishauser, T.; Sparks, T. H.; Thackeray, S. J.; Myneni, R.; Lumpkin, R.; Huang, B.; Kennedy, J.; Xue, Y.; Zhang, H. -m.; Hu, C.; Wang, M.; Johnson, G. C.; Lyman, J. M.; Boyer, T.; Cheng, L.; Domingues, C. M.; Gilson, J.; Ishii, M.; Killick, R. E.; Monselesan, D.; Purkey, S. G.; Wijffels, S. E.; Locarnini, R.; Yu, L.; Jin, X.; Stackhouse, P. W.; Kato, S.; Weller, R. A.; Thompson, P. R.; Widlansky, M. J.; Leuliette, E.; Sweet, W.; Chambers, D. P.; Hamlington, B. D.; Jevrejeva, S.; Marra, J. J.; Merrifield, M. A.; Mitchum, G. T.; Nerem, R. S.; Kelble, C.; Karnauskas, M.; Hubbard, K.; Goni, G.; Streeter, C.; Lumpkin, R.; Dohan, K.; Franz, B. A.; Cetinic, I.; Karakoylu, E. M.; Siegel, D. A.; Westberry, T. K.; Feely, R. A.; Wanninkhof, R.; Carter, B. R.; Landschutzer, P.; Sutton, A. J.; Cosca, C.; Trinanes, J. A.; Baxter, S.; Schreck, C.; Bell, G. D.; Mullan, A. B.; Pezza, A. B.; Coelho, C. A. S.; Wang, B.; He, Q.; Diamond, H. J.; Schreck, C. J.; Bell, G. D.; Blake, E. S.; Landsea, C. W.; Wang, H.; Goldenberg, S. B.; Pasch, R. J.; Klotzbach, P. J.; Kruk, M. C.; Schreck, C. J.; Camargo, S. J.; Trewin, B. C.; Pearce, P. R.; Lorrey, A. M.; Domingues, R.; Goni, G. J.; Knaff, J. A.; Lin, I. -i.; Bringas, F.; Richter-menge, J.; Osborne, E.; Druckenmiller, M.; Jeffries, M. O.; Overland, J. E.; Hanna, E.; Hanssen-bauer, I.; Kim, S. -j.; Walsh, J. E.; Wang, M.; Bhatt, U. S.; Timmermans, M. -l.; Ladd, C.; Perovich, D.; Meier, W.; Tschudi, M.; Farrell, S.; Hendricks, S.; Gerland, S.; Haas, C.; Krumpen, T.; Polashenski, C.; Ricker, R; Webster, M.; Stabeno, P. J.; Tedesco, M.; Box, J. E.; Cappelen, J.; Fausto, R. S.; Fettweis, X.; Andersen, J. K.; Mote, T.; Smeets, C. J. P. P.; Van As, D.; Van De Wal, R. S. W.; Romanovsky, V. E.; Smith, S. L.; Isaksen, K.; Shiklomanov, N. I.; Streletskiy, D. A.; Kholodov, A. L.; Christiansen, H. H.; Drozdov, D. S.; Malkova, G. V.; Marchenko, S. S.; Jella, K. B.; Mudryk, L.; Brown, R.; Derksen, C.; Luojus, K.; Decharme, B.; Holmes, R. M.; Shiklomanov, A. I.; Suslova, A.; Tretiakov, M.; Mcclelland, J. W.; Spencer, R. G. M.; Tank, S. E.; Epstein, H.; Bhatt, U.; Raynolds, M.; Walker, D.; Forbes, B.; Phoenix, G.; Bjerke, J.; Tommervik, H.; Karlsen, S. -r.; Myneni, R.; Park, T.; Goetz, S.; Jia, G.; Bernhard, G. H.; Fioletov, V. E.; Grooss, J. -u.; Ialongo, I.; Johnsen, B.; Lakkala, K.; Manney, G. L.; Mueller, R.; Scambos, T.; Stammerjohn, S.; Clem, K. R.; Barreira, S.; Fogt, R. L.; Colwell, S.; Keller, L. M.; Lazzara, M. A.; Reid, P.; Massom, R. A.; Lieser, J. L.; Meijers, A.; Sallee, J. -b.; Grey, A.; Johnson, K.; Arrigo, K.; Swart, S.; King, B.; Meredith, M.; Mazloff, M.; Scardilli, A.; Claus, F.; Shuman, C. A.; Kramarova, N.; Newman, P. A.; Nash, E. R.; Strahan, S. E.; Long, C. S.; Johnson, B.; Pitts, M.; Santee, M. L.; Petropavlovskikh, I.; Braathen, G. O.; Coy, L.; De Laat, J.; Bissolli, P.; Ganter, C.; Li, T.; Mekonnen, A.; Sanchez-lugo, A.; Gleason, K.; Smith, A.; Fenimore, C.; Heim, R. R., Jr.; Nauslar, N. J.; Brown, T. J.; Mcevoy, D. J.; Lareau, N. P.; Amador, J. A.; Hidalgo, H. G.; Alfaro, E. J.; Calderon, B.; Mora, N.; Stephenson, T. S.; Taylor, M. A.; Trotman, A. R.; Van Meerbeeck, C. J.; Campbell, J. D.; Brown, A.; Spence, J.; Martinez, R.; Diaz, E.; Marin, D.; Hernandez, R.; Caceres, L.; Zambrano, E.; Nieto, J.; Marengo, J. A.; Espinoza, J. C.; Alves, L. M.; Ronchail, J.; Lavado-casimiro, J. W.; Ramos, I.; Davila, C.; Ramos, A. M.; Diniz, F. A.; Aliaga-nestares, V.; Castro, A. Y.; Stella, J. L.; Aldeco, L. S.; Diaz, D. A. Campos; Misevicius, N.; Mekonnen, A.; Kabidi, K.; Sayouri, A.; Elkharrim, M.; Mostafa, A. E.; Hagos, S.; Feng, Z.; Ijampy, J. A.; Sima, F.; Francis, S. D.; Tsidu, G. Mengistu; Kruger, A. C.; Mcbride, C.; Jumaux, G.; Dhurmea, K. R.; Belmont, M.; Rakotoarimalala, C. L.; Labbe, L.; Rosner, B.; Benedict, I.; Van Heerwaarden, C.; Weerts, A.; Hazeleger, W.; Bissolli, P.; Trachte, K.; Zhu, Z.; Zhang, P.; Lee, T. C.; Ripaldi, A.; Mochizuki, Y.; Lim, J. -y; Oyunjargal, L.; Timbal, B.; Srivastava, A. K.; Revadekar, J. V.; Rajeevan, M.; Shimpo, A.; Khoshkam, M.; Kazemi, A. Fazl; Zeyaeyan, S.; Ganter, C.; Lander, M. A.; Mcgree, S.; Tobin, S.; Bettio, L.. |
| Tipo: Text |
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| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00677/78862/81179.pdf |
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| Carter, B. R.; Williams, N. L.; Gray, A. R.; Feely, R. A.. |
| We introduce methods and software for estimating total seawater alkalinity from salinity and any combination of up to four other parameters (potential temperature, apparent oxygen utilization, total dissolved nitrate, and total silicate). The methods return estimates anywhere in the global ocean with comparable accuracy to other published alkalinity estimation techniques. The software interpolates between a predetermined grid of coefficients for linear regressions onto arbitrary latitude, longitude, and depth coordinates, and thereby avoids the estimate discontinuities many similar methods return when transitioning from one regression constant set to another. The software can also return uncertainty estimates scaled by user-provided input parameter... |
| Tipo: Text |
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| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00383/49420/49853.pdf |
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| Carter, B. R.; Feely, R. A.; Williams, N. L.; Dickson, A. G.; Fong, M. B.; Takeshita, Y.. |
| We have taken advantage of the release of version 2 of the Global Data Analysis Project data product (Olsen et al. ) to refine the locally interpolated alkalinity regression (LIAR) code for global estimation of total titration alkalinity of seawater (A(T)), and to extend the method to also produce estimates of nitrate (N) and in situ pH (total scale). The updated MATLAB software and methods are distributed as Supporting Information for this article and referred to as LIAR version 2 (LIARv2), locally interpolated nitrate regression (LINR), and locally interpolated pH regression (LIPHR). Collectively they are referred to as locally interpolated regressions (LIRs). Relative to LIARv1, LIARv2 has an 18% lower average A(T) estimate root mean squared error... |
| Tipo: Text |
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| Ano: 2018 |
URL: https://archimer.ifremer.fr/doc/00662/77386/79020.pdf |
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