Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Donald P. Cummins"'
Autor:
Donald P. Cummins, Virginie Guemas, Christopher J. Cox, Michael R. Gallagher, Matthew D. Shupe
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 23, Pp n/a-n/a (2023)
Abstract Reliable boundary‐layer turbulence parametrizations for polar conditions are needed to reduce uncertainty in projections of Arctic sea ice melting rate and its potential global repercussions. Surface turbulent fluxes of sensible and latent
Externí odkaz:
https://doaj.org/article/9874f77e6f2648f6bd4c52cd545f5241
Autor:
Donald P. Cummins, Virginie Guemas, Sébastien Blein, Ian M. Brooks, Ian A. Renfrew, Andrew D. Elvidge, John Prytherch
Turbulent exchanges between sea ice and atmosphere are known to influence the melting rate of sea ice, the development of atmospheric circulation anomalies and, potentially, teleconnections between the Arctic and non-polar regions. Large model errors
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fda008ce2620a1052c617f52c720def
https://doi.org/10.21203/rs.3.rs-2592358/v1
https://doi.org/10.21203/rs.3.rs-2592358/v1
Publikováno v:
Advances in Statistical Climatology, Meteorology and Oceanography, Vol 6, Pp 91-102 (2020)
Reliable estimates of historical effective radiative forcing (ERF) are important for understanding the causes of past climate change and for constraining predictions of future warming. This study proposes a new linear-filtering method for estimating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dccd81bc7a842006e6c3219440974209
https://doi.org/10.5194/ascmo-6-91-2020
https://doi.org/10.5194/ascmo-6-91-2020
Publikováno v:
Journal of Climate. 33:7909-7926
This study has developed a rigorous and efficient maximum likelihood method for estimating the parameters in stochastic energy balance models (with any k > 0 number of boxes) given time series of surface temperature and top-of-the-atmosphere net down
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9b36c4c84318eb1c3a67e5f66a847a5
https://doi.org/10.1175/jcli-d-19-0589.1
https://doi.org/10.1175/jcli-d-19-0589.1
Publikováno v:
Climate dynamics. 59(9-10)
Since the 1970s, scientists have developed statistical methods intended to formalize detection of changes in global climate and to attribute such changes to relevant causal factors, natural and anthropogenic. Detection and attribution (D&A) of climat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b12cd73af35c106c9adf29da7ff70db
https://pubmed.ncbi.nlm.nih.gov/35345504
https://pubmed.ncbi.nlm.nih.gov/35345504