Zobrazeno 1 - 10
of 13
pro vyhledávání: '"G. J. Hakim"'
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 3409-3431 (2024)
Climate field reconstruction (CFR) refers to the estimation of spatiotemporal climate fields (such as surface temperature) from a collection of pointwise paleoclimate proxy datasets. Such reconstructions can provide rich information on climate dynami
Externí odkaz:
https://doaj.org/article/fbd3fe7af9a44dd297583eda127bebd5
Publikováno v:
The Cryosphere, Vol 17, Pp 4399-4420 (2023)
Glaciers in the Amundsen Sea Embayment of West Antarctica are rapidly retreating and contributing to sea level rise. Ice loss is occurring primarily via exposure to warm ocean water, which varies in response to local wind variability. There is eviden
Externí odkaz:
https://doaj.org/article/8352b2080d414b8ebef619e854170fd0
Autor:
L. M. Taylor, G. J. Hakim
Publikováno v:
Earth and Space Science, Vol 10, Iss 4, Pp n/a-n/a (2023)
Abstract There are two major challenges to improving interannual to decadal forecasts: (a) consistently initializing the coupled system so that variability is not dominated by initial imbalances, and (b) having a large sample of different initial con
Externí odkaz:
https://doaj.org/article/df95bce30c3149538aaf90b06d3e6b40
Publikováno v:
Climate of the Past, Vol 16, Pp 1325-1346 (2020)
Reconstructions of past temperature and precipitation are fundamental to modeling the Greenland Ice Sheet and assessing its sensitivity to climate. Paleoclimate information is sourced from proxy records and climate-model simulations; however, the for
Externí odkaz:
https://doaj.org/article/aacdd696e3f74025bd36bb8790d88818
Autor:
R. Tardif, G. J. Hakim, W. A. Perkins, K. A. Horlick, M. P. Erb, J. Emile-Geay, D. M. Anderson, E. J. Steig, D. Noone
Publikováno v:
Climate of the Past, Vol 15, Pp 1251-1273 (2019)
The Last Millennium Reanalysis (LMR) utilizes an ensemble methodology to assimilate paleoclimate data for the production of annually resolved climate field reconstructions of the Common Era. Two key elements are the focus of this work: the set of ass
Externí odkaz:
https://doaj.org/article/672b57102f164bf9b45a3bccc1f3c26f
Publikováno v:
Climate of the Past, Vol 14, Pp 157-174 (2018)
The Last Millennium Reanalysis (LMR) employs a data assimilation approach to reconstruct climate fields from annually resolved proxy data over years 0–2000 CE. We use the LMR to examine Atlantic multidecadal variability (AMV) over the last 2 mil
Externí odkaz:
https://doaj.org/article/e6abac446dfd49e9920d1cd739bf7cd2
Autor:
W. A. Perkins, G. J. Hakim
Publikováno v:
Climate of the Past, Vol 13, Iss 5, Pp 421-436 (2017)
We examine the skill of a new approach to climate field reconstructions (CFRs) using an online paleoclimate data assimilation (PDA) method. Several recent studies have foregone climate model forecasts during assimilation due to the computational expe
Externí odkaz:
https://doaj.org/article/210b00a0486b4fb9bbc332e497b28e57
Publikováno v:
Geoscientific Instrumentation, Methods and Data Systems, Vol 2, Iss 2, Pp 199-212 (2013)
Station locations in existing environmental networks are typically chosen based on practical constraints such as cost and accessibility, while unintentionally overlooking the geographical and statistical properties of the information to be measured.
Externí odkaz:
https://doaj.org/article/5f69cc1469304e2f8554051a7d80d8cd
Publikováno v:
Climate of the Past, Vol 16, Pp 1325-1346 (2020)
Reconstructions of past temperature and precipitation are fundamental to modeling the Greenland Ice Sheet and assessing its sensitivity to climate. Paleoclimate information is sourced from proxy records and climate-model simulations; however, the for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f05a877f023e2ffd6bdd415e48b1c66
https://www.clim-past-discuss.net/cp-2019-164/
https://www.clim-past-discuss.net/cp-2019-164/
Autor:
Neukom, L. A. Barboza, M. P. Erb, F. Shi, J. Emile-Geay, M. N. Evans, J. Franke, D. Kaufman, L. Lücke, K. Rehfeld, A. Schurer, V. Valler, F. Zhu, S. Brönnimann, G. J. Hakim, B. J. Henley, F. C. Ljungqvist, N. McKay, and L. von Gunten
Publikováno v:
Nature Geoscience
Neukom, R, Barboza, L A, Erb, M P, Shi, F, Emile-Geay, J, Evans, M N, Franke, J, Kaufman, D S, Lücke, L, Rehfeld, K, Schurer, A, Zhu, F, Brönniman, S, Hakim, G J, Henley, B J, Charpentier Ljungqvist, F, McKay, N, Valler, V & von Gunten, L 2019, ' Consistent multi-decadal variability in global temperature reconstructions and simulations over the Common Era ', Nature Geoscience . https://doi.org/10.1038/s41561-019-0400-0
Nature geoscience
Neukom, R, Barboza, L A, Erb, M P, Shi, F, Emile-Geay, J, Evans, M N, Franke, J, Kaufman, D S, Lücke, L, Rehfeld, K, Schurer, A, Zhu, F, Brönniman, S, Hakim, G J, Henley, B J, Charpentier Ljungqvist, F, McKay, N, Valler, V & von Gunten, L 2019, ' Consistent multi-decadal variability in global temperature reconstructions and simulations over the Common Era ', Nature Geoscience . https://doi.org/10.1038/s41561-019-0400-0
Nature geoscience
Multidecadal surface temperature changes may be forced by natural as well as anthropogenic factors, or arise unforced from the climate system. Distinguishing these factors is essential for estimating sensitivity to multiple climatic forcings and the