Search results (49)

of the Greenland ice sheet. Ridley et al. 2010; 4. The sensitivity of West Antarctica to the submarine melting feedback. Arthern et al. 2017; 5. Elimination of the Greenland ice sheet in a high CO climate. Ridley et al. 2005; 6. How effective is albedo modification in preventing sea-level rise from

of the Greenland ice sheet. Ridley et al. 2010; 4. The sensitivity of West Antarctica to the submarine melting feedback. Arthern et al. 2017; 5. Elimination of the Greenland ice sheet in a high CO climate. Ridley et al. 2005; 6. How effective is albedo modification in preventing sea-level rise from

for the Greenland ice sheet; 3 Ridley et al., (2010) Thresholds for irreversible decline of the Greenland ice sheet; 4 Arthern et al., (2017) The sensitivity of West Antarctica to the submarine melting feedback; 5 Ridley et al., (2005) Elimination of the Greenland ice sheet in a high CO climate; 6

and impacts on biology and human activity. Meier et al. 2014; 5. How reversible is sea ice loss? Ridley et al. 2012. 6. Observed Arctic sea-ice loss directly follows anthropogenic CO2 emission. Notz and Stroeve. 2016; 7. Observations reveal external driver for Arctic sea-ice retreat. Notz and Marotzke. 2012

persistence; 4 Meier et al., (2014) Arctic sea ice in transformation: A review of recent observed changes and impacts on biology and human activity; 5 Ridley et al., (2012) How reversible is sea ice loss?; 6 Notz and Stroeve, (2016) Observed Arctic seaice loss directly follows anthropogenic CO 2 emission

and impacts on biology and human activity. Meier et al. 2014; 5. How reversible is sea ice loss? Ridley et al. 2012. 6. Observed Arctic sea-ice loss directly follows anthropogenic CO2 emission. Notz and Stroeve. 2016; 7. Observations reveal external driver for Arctic sea-ice retreat. Notz and Marotzke. 2012

Hadley Centre. Dr Anne Pardaens Anne works on sea level rise with a particular interest in projected regional variations. Dr Jeff Ridley Jeff is a climate scientist working on the understanding and modelling of ice sheets and mountain glaciers, and their likely contribution to future global sea

. Banks, M. J. Roberts, A. J. McLaren, J. K. Ridley, C. A. Senior, K. D. Williams, A. Jones, G. J. Rickard, S. Cusack, W. J. Ingram, M. Crucifix, D. M. H. Sexton, M. M. Joshi, B-W. Dong, H. Spencer, R. S. R. Hill, J. M. Gregory, A.B. Keen, A. K. Pardaens, J. A. Lowe, A. Bodas-Salcedo, S. Stark, and Y

Ice configuration (Ridley et al, 2018). FOAM-GC uses the ORCA tripolar grid at ¼ degree horizontal resolution (~25 km) with 75 levels with variable vertical resolution ranging from 1 m near the surface to 200 m at depth. FOAM assimilates observational data from a variety of sources using the NEMOVAR