The Community Land Model version 5 : description of new features, benchmarking, and impact of forcing uncertainty

Autor: Lawrence, DM, Fisher, RA, Koven, CD, Oleson, KW, Swenson, SC, Bonan, G, Collier, N, Ghimire, B, van Kampenhout, L, Kennedy, D, Kluzek, E, Lawrence, PJ, Li, F, Li, H, Lombardozzi, D, Riley, WJ, Sacks, WJ, Shi, M, Vertenstein, M, Wieder, WR, Xu, C, Ali, AA, Badger, AM, Bisht, G, van den Broeke, M, Brunke, MA, Burns, SP, Buzan, J, Clark, M, Craig, A, Dahlin, K, Drewniak, B, Fisher, JB, Flanner, M, Fox, AM, Gentine, P, Hoffman, F, Keppel‐Aleks, G, Knox, R, Kumar, S, Lenaerts, J, Leung, LR, Lipscomb, WH, Lu, Y, Pandey, A, Pelletier, JD, Perket, J, Randerson, JT, Ricciuto, DM, Sanderson, BM, Slater, A, Subin, ZM, Tang, J, Thomas, RQ, Val Martin, M, Zeng, X

The Community Land Model (CLM) is the land component of the Community Earth System Model (CESM) and is used in several global and regional modeling systems. In this paper, we introduce model developments included in CLM version 5 (CLM5), which is the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::7de9b32323f22d38a6962c1b31d78544
https://eprints.whiterose.ac.uk/154850/1/Lawrence_et_al-2020-Journal_of_Advances_in_Modeling_Earth_Systems.pdf

Higher climatological temperature sensitivity of soil carbon in cold than warm climates

Autor: Koven, CD, Hugelius, G, Lawrence, DM, Wieder, WR

Publikováno v: Nature Climate Change, vol 7, iss 11
Koven, CD; Hugelius, G; Lawrence, DM; & Wieder, WR. (2017). Higher climatological temperature sensitivity of soil carbon in cold than warm climates. Nature Climate Change, 7(11), 817-822. doi: 10.1038/nclimate3421. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7q68v57x

The projected loss of soil carbon to the atmosphere resulting from climate change is a potentially large but highly uncertain feedback to warming. The magnitude of this feedback is poorly constrained by observations and theory, and is disparately rep

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::137c533774117fbd7785f0dadd57186f
https://escholarship.org/uc/item/7q68v57x

A simplified, data-constrained approach to estimate the permafrost carbon-climate feedback

Autor: Koven, CD, Schuur, EAG, Schädel, C, Bohn, TJ, Burke, EJ, Chen, G, Chen, X, Ciais, P, Grosse, G, Harden, JW, Hayes, DJ, Hugelius, G, Jafarov, EE, Krinner, G, Kuhry, P, Lawrence, DM, MacDougall, AH, Marchenko, SS, McGuire, AD, Natali, SM, Nicolsky, DJ, Olefeldt, D, Peng, S, Romanovsky, VE, Schaefer, KM, Strauss, J, Treat, CC, Turetsky, M

Publikováno v: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol 373, iss 2054
Koven, CD; Schuur, EAG; Schädel, C; Bohn, TJ; Burke, EJ; Chen, G; et al.(2015). A simplified, data-constrained approach to estimate the permafrost carbon-climate feedback. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373(2054). doi: 10.1098/rsta.2014.0423. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7t14r7vv

© 2015 The Authors. We present an approach to estimate the feedback from large-scale thawing of permafrost soils using a simplified, data-constrained model that combines three elements: soil carbon (C) maps and profiles to identify the distribution

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::74c81f50db3fd3aca9898f5144f0f636
https://escholarship.org/uc/item/7t14r7vv

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