Results 11 to 20 of about 11,795 (298)

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
core   +19 more sources

A comparison of CMIP5 and CMIP6 climate model projections for hydrological impacts in China

Hydrology Research, 2023
Global climate model (GCM) outputs from Coupled Model Inter-comparison Project Phase 5 (CMIP5) were widely used to investigate climate change impacts last 10 years. It is important to know whether Coupled Model Inter-comparison Project Phase 6 (CMIP6) is
Yawen Lei, Lihua Xiong
exaly   +3 more sources

Assessment of CMIP6 and CMIP5 model performance for extreme temperature in China

Atmospheric and Oceanic Science Letters, 2020
Using the historical simulations from 27 models in phase 5 of the Coupled Model Intercomparison Project (CMIP5) and 27 models in phase 6 (CMIP6), the authors evaluated the differences between CMIP5 and CMIP6 models in simulating the climate mean of ...
Neng Luo, Yan Guo, Zhibo Gao
exaly   +2 more sources

Modelling the distribution of the Caucasian oak (Quercus macranthera) in Western Asia under future climate change scenarios [PDF]

Botanica Serbica, 2023
The Caucasian oak (Quercus macranthera), a native tree of Western Asia, typically grows at high altitudes where the effects of climate change are particularly notable. We analysed the climatic determinants of the current distribution of Q.
Nihal Kenar, Zaal Kikvidze
doaj   +1 more source

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   +8 more sources

Underestimated MJO variability in CMIP6 models [PDF]

Geophysical Research Letters, 2021
Abstract The 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
Phong Vu Viet Le, Clement Guilloteau, Antonios Mamalakis, Efi Foufoula-Georgiou   +3 more
openaire   +5 more sources

Evaluation and Projection of Climate Change in Southwest China Using CMIP6 Models

Gaoyuan qixiang, 2022
Based on temperature and precipitation data to evaluate the ability of 24 models of the Coupled Model Intercomparison Project Phase 6 （CMIP6） and multi-model ensemble（MME）to simulate summer climate change in Southwest China， and projected the future ...
Mingxin YANG, Tiangui XIAO, Yong LI, Tao HU   +3 more
doaj   +1 more source

The Brewer-Dobson circulation in CMIP6 [PDF]

Atmospheric Chemistry and Physics, 2021
Abstract. The Brewer-Dobson circulation (BDC) is a key feature of the stratosphere that models need to accurately represent in order to improve the representation of surface climate variability. For the first time, the Climate Model Intercomparison Project includes in its phase 6 (CMIP6) a set of diagnostics that allow for careful evaluation of the BDC.
Marta Abalos, Natalia Calvo, Samuel Benito-Barca, Hella Garny, Steven C. Hardiman, Pu Lin, Martin B. Andrews, Neal Butchart, Rolando Garcia, Clara Orbe, David Saint-Martin, Shingo Watanabe, Kohei Yoshida   +12 more
  +11 more sources

Assessing the impacts of climate change on streamflow dynamics: A machine learning perspective

Water Science and Technology, 2023
This study investigates changes in river flow patterns, in the Hunza Basin, Pakistan, attributed to climate change. Given the anticipated rise in extreme weather events, accurate streamflow predictions are increasingly vital.
Mehran Khan, Afed Ullah Khan, Sunaid Khan, Fayaz Ahmad Khan   +3 more
doaj   +1 more source

Naturalized streamflows and Affluent Natural Energy projections for the Brazilian hydropower sector for the SSP2-4.5 and SSP5-8.5 scenarios of the CMIP6

Journal of Water and Climate Change, 2022
Climate change projects an increase in extreme weather events in the coming decades, which could significantly affect Brazil's water and energy security.
Marx Vinicius Maciel da Silva, Cleiton da Silva Silveira, Samuellson Lopes Cabral, Antonio Duarte Marcos Junior, Greicy Kelly da Silva, Carlos Eduardo Sousa Lima   +5 more
doaj   +1 more source