Results 11 to 20 of about 5,325,788 (162)

Influence of internal climate variability on Indian Ocean Dipole properties. [PDF]

Sci Rep, 2018
The Indian Ocean Dipole (IOD) is the dominant mode of interannual variability over the tropical Indian Ocean (IO) and its future changes are projected to impact the climate and weather of Australia, East Africa, and Indonesia.
Ng B, Cai W, Cowan T, Bi D.
europepmc   +2 more sources

The signature of internal variability in the terrestrial carbon cycle

Environmental Research Letters, 2021
Uncertainty in model initial states produces uncertainty in climate simulations because of unforced variability internal to the climate system. Climate scientists use initial-condition ensembles to separate the forced signal of climate change from the ...
Gordon B Bonan, Danica L Lombardozzi, William R Wieder   +2 more
doaj   +1 more source

Internal Variability-Generated Uncertainty in East Asian Climate Projections Estimated with 40 CCSM3 Ensembles. [PDF]

PLoS ONE, 2016
Regional climate projections are challenging because of large uncertainty particularly stemming from unpredictable, internal variability of the climate system. Here, we examine the internal variability-induced uncertainty in precipitation and surface air
Shuai-Lei Yao, Jing-Jia Luo, Gang Huang
doaj   +1 more source

Anthropogenic climate change versus internal climate variability: impacts on snow cover in the Swiss Alps [PDF]

The Cryosphere, 2020
Snow is a sensitive component of the climate system. In many parts of the world, water stored as snow is a vital resource for agriculture, tourism and the energy sector.
F. Willibald, F. Willibald, S. Kotlarski, A. Grêt-Regamey, A. Grêt-Regamey, R. Ludwig   +5 more
doaj   +1 more source

Importance of internal variability for climate model assessment

npj Climate and Atmospheric Science, 2023
Benchmarking climate model simulations against observations of the climate is core to the process of building realistic climate models and developing accurate future projections.
Shipra Jain, Adam A. Scaife, Theodore G. Shepherd, Clara Deser, Nick Dunstone, Gavin A. Schmidt, Kevin E. Trenberth, Thea Turkington   +7 more
doaj   +1 more source

Uncertainty in the projected Antarctic contribution to sea level due to internal climate variability [PDF]

Earth System Dynamics
Identifying and quantifying irreducible and reducible uncertainties in the Antarctic Ice Sheet (AIS) response to future climate change is essential for guiding mitigation and adaptation policy decision.
J. Caillet, N. C. Jourdain, P. Mathiot, F. Gillet-Chaulet, B. Urruty, C. Burgard, C. Burgard, C. Amory, C. Amory, M. Chekki, C. Kittel, C. Kittel, C. Kittel   +12 more
doaj   +1 more source

Internal climate variability and spatial temperature correlations during the past 2000 years [PDF]

Climate of the Past, 2022
The spatio-temporal structure of natural climate variability has to be taken into account when unravelling observed climatic changes and simulating future climate change.
P. Bakker, H. Goosse, D. M. Roche, D. M. Roche   +3 more
doaj   +1 more source

Impacts of Low-Frequency Internal Climate Variability and Greenhouse Warming on El Nino–Southern Oscillation

, 2021
El Nino–Southern Oscillation (ENSO) is the dominant mode of interannual climate fluctuations with wide- ranging socioeconomic and environmental impacts. Understanding the eastern Pacific (EP) and central Pacific (CP) El Nino response to a warmer climate ...
Ng, Benjamin, Cowan, Tim, Cai, Wenju, Bi, Daohua   +3 more
core   +1 more source

Decadal-interdecadal climate variability over Antarctica and linkages to the Tropics : analysis of ice core, instrumental, and tropical proxy data [PDF]

, 2012
The Antarctic continent contains the majority of the global ice volume and plays an important role in a changing climate. The nature and causes of Antarctic climate variability are, however, poorly understood beyond interannual time scales due to the ...
Okumura, Yuko, Schneider, David, Deser, Clara, Wilson, Rob   +3 more
core   +1 more source

Multimodel climate and variability of the stratosphere [PDF]

, 2011
The stratospheric climate and variability from simulations of sixteen chemistry‐climate models is evaluated. On average the polar night jet is well reproduced though its variability is less well reproduced with a large spread between models.
T. Nakamura, Garny, Hella, Morgenstern, O, J.-F. Lamarque, Osprey, Scott, H. Teyssèdre, Eyring, V, M. Dameris, Hardiman, S. C., Garny, H., S. M. Osprey, Garcia, R., Kushner, PJ, J. Perlwitz, D. Smale, D. Plummer, Haynes, P.H., Charlton-Perez, AJ, Akiyoshi, H, J. Pyle, E. Rozanov, Nakamura, T, Akiyoshi, H., Charlton-Perez, A., Morgenstern, O., Perlwitz, J, Pyle, J, Butchart, N, Haynes, PH, M. Marchand, Lamarque, J-F, Y. Yamashita, Lamarque, J. F., Braesicke, P., Brühl, C., Baumgaertner, A., Kushner, P., Dameris, Martin, Kushner, P. J., Chipperfield, M., Butchart, Neal, Chipperfield, M, Wang, L., Joeckel, P, M. Sigmond, Tian, W., Wang, L, Bekki, S, Perlwitz, J., Dameris, M, Osprey, S. M., H. Akiyoshi, R. Garcia, V. Eyring, K. Krüger, Bekki, S., Eyring, V., A. Baumgaertner, Jöckel, P., Osprey, S., et, al., Rozanov, E, P. H. Haynes, M. Michou, Yamashita, Y, Plummer, D, S. Bekki, Scinocca, J, Newman, P. A., Shepherd, T. G., Marchand, M, Krüger, Kirstin, Eyring, Veronika, Dhomse, S, Butchart, N., D. Waugh, Haynes, P. H., Rozanov, E., Pawson, S., Lamarque, J.-F., Charlton-Perez, A. J., Osprey, SM, J. Austin, Newman, PA, Smale, D., Austin, J., Michou, M., Marchand, M., Garny, H, Newman, P., Hardiman, S., Waugh, D., Cionni, Irene, Teyssedre, H, J. Scinocca, Sigmond, M, A. J. Charlton-Perez, Waugh, D, P. J. Kushner, Bruehl, C, S. C. Hardiman, Braesicke, P, Smale, Dan, Marchand, Marion, K. Shibata, H. Garny, S. Pawson, Cionni, I., Sigmond, M., T. G. Shepherd, Hardiman, SC, C. Brühl, S. Dhomse, Baumgaertner, A, P. Braesicke, P. A. Newman, Shepherd, T., Scinocca, J., Bekki, Slimane, M. Chipperfield, I. Cionni, Garcia, R, Plummer, D., Dameris, M., Morgenstern, Olaf, Pawson, S, N. Butchart, Lamarque, J., Krueger, K, Dhomse, S., Yamashita, Y., Haynes, P., Austin, J, Smale, D, Tian, W, P. Jöckel, Pyle, J., Teyssèdre, H., L. Wang, O. Morgenstern, Charlton-Perez, Andrew J., Newman, P.A., Shibata, K, Krüger, K., W. Tian, Shibata, K., Hardiman, S.C., Shepherd, TG, Michou, M, Charlton-Perez, A.J., Jöckel, Patrick, Osprey, S.M., Nakamura, T., Michou, Martine, Cionni, I   +154 more
core   +2 more sources