Results 11 to 20 of about 24,239 (287)

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

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

Constraining uncertainty in aerosol direct forcing [PDF]

, 2020
The uncertainty in present-day anthropogenic forcing is dominated by uncertainty in the strength of the contribution from aerosol. Much of the uncertainty in the direct aerosol forcing can be attributed to uncertainty in the anthropogenic fraction of ...
Bellouin, N., Carslaw, K. S., Deaconu, L., Johnson, J. S., Pringle, K. J., Regayre, L. A., Schutgens, N., Smith, C. J., Stier, P., Watson-Parris, D., Yoshioka, M.   +10 more
core   +4 more sources

Projection of extreme precipitation over the Huai River basin under 1.5 ℃/2.0 ℃ global warming

Shui kexue jinzhan, 2023
The Huai River basin has been severely affected by rainstorm and flood disasters.It is of great significance to scientifically estimate the changes in extreme precipitation under global warming of 1.5 ℃ and 2.0 ℃ in the Huai River basin for flood control
Guodong BIAN, Jianyun ZHANG, Guoqing WANG, Mingming SONG   +3 more
doaj   +1 more source

The CMIP6 Data Request (DREQ, version 01.00.31) [PDF]

, 2020
The data request of the Coupled Model Intercomparison Project Phase 6 (CMIP6) defines all the quantities from CMIP6 simulations that should be archived.
Durack, Paul J., Juckes, Martin, Lawrence, Bryan, Mizielinski, Matthew S., Pamment, Alison, Peterschmitt, Jean-Yves, Rixen, Michel, Sénési, Stéphane, Taylor, Karl E.   +8 more
core   +3 more sources

QBO Changes in CMIP6 Climate Projections [PDF]

Geophysical Research Letters, 2020
AbstractPhase 6 of the Coupled‐Model Intercomparison Project (CMIP6) is the first in which a significant number of models include a well‐resolved stratosphere. Changes in equatorial stratospheric variability in historical and Shared Socioeconomic Pathways (SSPs) scenario simulations are investigated in 10 models with realistic quasi‐biennial ...
Neal Butchart, James A. Anstey, Yoshio Kawatani, Scott M. Osprey, Jadwiga H. Richter, Tongwen Wu   +5 more
openaire   +1 more source

Prediction of present and future spread of Adenocarpus complicatus (L.) Gay species according to climate variables

Turkish Journal of Forestry, 2020
Analyzing how the vegetative material, which is the most important design element of Turkey and the most important design element of the Landscape Architecture profession, will be affected by climate change, is of great importance in order to plan the ...
Almira Uzun, Ömer K. Örücü
doaj   +1 more source