Results 11 to 20 of about 30,636 (215)

Implementation of U.K. Earth system models for CMIP6 [PDF]

Journal of Advances in Modeling Earth Systems, 2020
We describe the scientific and technical implementation of two models for a core set of experiments contributing to the sixth phase of the Coupled Model Intercomparison Project (CMIP6).
Abraham, Nathan Luke, Andrejczuk, Miroslaw, Andrews, Martin B., Andrews, Timothy, Archibald, Alex T., de Mora, Lee, Dyson, Harold, Elkington, Mark, Ellis, Richard, Florek, Piotr, Gohar, Laila, Good, Peter, Griffiths, Paul T., Haddad, Stephen, Hardiman, Steven C., Hogan, Emma, Iwi, Alan, Johnson, Ben, Jones, Christopher D., Jones, Colin G., Kelley, Douglas I., Kettleborough, Jamie, Knight, Jeff R., Kuhlbrodt, Till, Köhler, Marcus O., Liddicoat, Spencer, Linova‐Pavlova, Irina, Mizielinski, Matthew S., Morgenstern, Olaf, Mulcahy, Jane, Neininger, Erica, O'Connor, Fiona M., Petrie, Ruth, Ridley, Jeff, Rioual, Jean‐Christophe, Roberts, Malcolm, Robertson, Eddy, Rumbold, Steven, Seddon, Jon, Sellar, Alistair A., Shepherd, Harry, Shim, Sungbo, Stephens, Ag, Tang, Yongming, Teixiera, Joao C., Walton, Jeremy, Williams, Jonny, Wiltshire, Andy, Wood, Richard   +48 more
core   +11 more sources

Arctic Sea Ice in CMIP6 [PDF]

Geophysical Research Letters, 2020
We examine CMIP6 simulations of Arctic sea‐ice area and volume. We find that CMIP6 models produce a wide spread of mean Arctic sea‐ice area, capturing the observational estimate within the multimodel ensemble spread.
D. Notz, Simip Community
semanticscholar   +9 more sources

PMIP4-CMIP6: the contribution of the Paleoclimate Modelling Intercomparison Project to CMIP6 [PDF]

, 2016
The goal of the Palaeoclimate Modelling Intercomparison Project (PMIP) is to understand the response of the climate system to changes in different climate forcings and to feedbacks.
Abe-Ouchi, Ayako, Albani, Samuel, Bartlein, Patrick J., Braconnot, Pascale, Brierley, Chris, Crucifix, Michel, Dolan, Aisling, Fernandez-Donado, Laura, Fischer, Hubertus, Harrison, Sandy P., Haywood, Alan M., Hopcroft, Peter O., Ivanovic, Ruza F., Jungclaus, Johann, Kageyama, Masa, Lambert, Fabrice, Lunt, Dan J., Mahowald, Natalie M., Otto-Bliesner, Bette L., Peltier, W. Richard, Peterschmitt, Jean-Yves, Phipps, Stephen J., Roche, Didier M., Schmidt, Gavin A., Tarasov, Lev, Valdes, Paul J., Zhang, Qiong, Zhou, Tianjun   +27 more
core   +3 more sources

Representation of the terrestrial carbon cycle in CMIP6 [PDF]

Biogeosciences
. Simulation of the carbon cycle in climate models is important due to its impact on climate change, but many weaknesses in its reproduction were found in previous models. Improvements in the representation of the land carbon cycle in Earth system models
Bettina K. Gier, Manuel Schlund, P. Friedlingstein, Chris D. Jones, Colin G. Jones, S. Zaehle, Veronika Eyring   +6 more
semanticscholar   +7 more sources

High-resolution climate projection dataset based on CMIP6 for Peru and Ecuador: BASD-CMIP6-PE

Scientific Data
Here, we present BASD-CMIP6-PE, a high-resolution (1d, 10 km) climate dataset for Peru and Ecuador based on the bias-adjusted and statistically downscaled CMIP6 climate projections of 10 GCMs. This dataset includes both historical simulations (1850–2014)
Carlos Antonio Fernandez-Palomino, F. Hattermann, V. Krysanova, Fiorella Vega-Jácome, C. Menz, S. Gleixner, A. Bronstert   +6 more
semanticscholar   +5 more sources

Solar forcing for CMIP6 (v3.2) [PDF]

Geoscientific Model Development, 2017
Abstract. This paper describes the recommended solar forcing dataset for CMIP6 and highlights changes with respect to CMIP5. The solar forcing is provided for radiative properties, namely total solar irradiance (TSI), solar spectral irradiance (SSI), and the F10.7 index as well as particle forcing, including geomagnetic indices Ap and Kp, and ...
K. Matthes, K. Matthes, B. Funke, M. E. Andersson, L. Barnard, J. Beer, P. Charbonneau, M. A. Clilverd, T. Dudok de Wit, M. Haberreiter, A. Hendry, C. H. Jackman, M. Kretzschmar, T. Kruschke, M. Kunze, U. Langematz, D. R. Marsh, A. C. Maycock, S. Misios, C. J. Rodger, A. A. Scaife, A. Seppälä, M. Shangguan, M. Sinnhuber, K. Tourpali, I. Usoskin, M. van de Kamp, P. T. Verronen, S. Versick   +28 more
openaire   +16 more sources

The Bristol CMIP6 Data Hackathon [PDF]

Weather, 2022
The Bristol CMIP6 Data Hackathon formed part of the Met Office Climate Data Challenge Hackathon series during 2021, bringing together around 100 UK early career researchers from a wide range of environmental disciplines. The purpose was to interrogate the under-utilised but currently most advanced climate model inter-comparison project datasets to ...
Mitchell, Dann M., Stone, Emma J., Andrews, Oliver D., Bamber, Jonathan L., Bingham, Rory J., Browse, Jo, Henry, Matthew, MacLeod, David M., Morten, Joanne M., Sauter, Christoph A., Smith, Christopher J., Thomas, James, Thomson, Stephen I., Wilson, Jamie D., Fung, Fai, Hall, Richard, Holley, Patricia, Mitchell, Dann, Seviour, William, Stone, Emma J, Thomas, James, Holley, Patricia, Kuwertz, Emma, Brown, Katharine Robson, Tanner, Al, Thurlby, Natalie, Thomas, James, Bamber, Jonathan, Grinsted, Aslak, Buzzard, Sammie, Ng, Kevin, Nias, Isabel, Weeks, Jennifer, MacLeod, David, Sheen, Katy, Baidu, Michael, Baker, Jessica, Fulton, James, Le Guennec, Valerie, Harbord, Sophie, Harris, Bethan, Li, Xiaorong, Lo, Brian, Lord, Natalie, Masukwedza, Innocent, Walker, Erin, Watson, Peter, Andrews, Oliver, Wilson, Jamie, Adloff, Markus, Baker, Chelsey, Blackledge, Benedict, DeAth, Ros, Goldsworth, Fraser, Katavouta, Anna, Kennedy‐Asser, Alan, Liu, Qian, de Mel Virissimo, Francisco, Sieradzan, Katie, Vosper, Emily, Ying, Rui, Bingham, Rory, Chaudhri, Alex, Evans, Dafydd Gwyn, Hughes, Chris, Mecking, Jennifer, Rosser, Jonathan, Turner, Charles, Turner, Katherine, Vishwakarma, Bramha Dutt, Worthington, Emma, Screen, James, Tomson, Stephen, Bilge, Tarkan, Clement, Louis, Hudson, Phoebe, Keel, Thomas, Mackie, Anna, Manning, Colin, O'Reilly, Christopher, Henry, Matthew, Adhikari, Mira, Ball, Emily, Lo, Eunice, Roesch, Carla, Browse, Jo, Avrutin, Sandy, Booth, Alice, Walsh, Amber, Collins, Mat, Sauter, Christoph, Amos, Matt, Chen, Ying, Gouldsbrough, Lily, Heinrich, Viola, Kelly, Stephen, Hawkes, Lucy, Morten, Joanne, Thurston, Will, Buchanan, Pearce, Glissenaar, Isolde, Williams, Daniel, Williams, Ned, Williams, Shannon, Vogt‐Vincent, Noam, Zaforemska, Aleksandra, Smith, Christopher, Brimicombe, Chloe, Burton, Lauren, Cole, Sebastian, Gohar, Laila, Hemani, Gibran, Lamboll, Robin, Di Napoli, Claudia, Simpson, Charles H., Taylor, Michael, Tunnicliffe, Rachel   +116 more
openaire   +7 more sources

Underestimated MJO variability in CMIP6 models [PDF]

Geophysical Research Letters, 2021
AbstractThe Madden‐Julian Oscillation (MJO) is the leading mode of intraseasonal climate variability, having profound impacts on a wide range of weather and climate phenomena. Here, we use a wavelet‐based spectral Principal Component Analysis (wsPCA) to evaluate the skill of 20 state‐of‐the‐art CMIP6 models in capturing the magnitude and dynamics of ...
Phong V. V. Le, Clément Guilloteau, Antonios Mamalakis, Efi Foufoula‐Georgiou   +3 more
openaire   +5 more sources

Tropospheric ozone in CMIP6 simulations [PDF]

Atmospheric Chemistry and Physics, 2021
Abstract. The evolution of tropospheric ozone from 1850 to 2100 has been studied using data from Phase 6 of the Coupled Model Intercomparison Project (CMIP6). We evaluate long-term changes using coupled atmosphere–ocean chemistry–climate models, focusing on the CMIP Historical and ScenarioMIP ssp370 experiments, for which detailed tropospheric-ozone ...
P. T. Griffiths, P. T. Griffiths, L. T. Murray, G. Zeng, Y. M. Shin, N. L. Abraham, N. L. Abraham, A. T. Archibald, A. T. Archibald, M. Deushi, L. K. Emmons, I. E. Galbally, I. E. Galbally, B. Hassler, L. W. Horowitz, J. Keeble, J. Keeble, J. Liu, O. Moeini, V. Naik, F. M. O'Connor, N. Oshima, D. Tarasick, S. Tilmes, S. T. Turnock, O. Wild, P. J. Young, P. J. Young, P. Zanis   +28 more
openaire   +7 more sources

Evaluation and selection of CMIP6 GCMs for long-term hydrological projections based on spatial performance assessment metrics across South Korea

Journal of Water and Climate Change, 2023
The selection of an appropriate subset of Global Climate Models (GCMs) from the Coupled Model Intercomparison Project 6 (CMIP6) for long-term hydrological simulation at the basin scale is a necessity.
Nguyen Thi Huong, Yong-Tak Kim, Hyun-Han Kwon   +2 more
doaj   +1 more source