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Constraining Global Changes in Temperature and Precipitation From Observable Changes in Surface Radiative Heating 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (9)
作者:  Dhara, Chirag
收藏  |  浏览/下载:22/0  |  提交时间:2020/07/02
surface energy balance  surface radiative heating  surface temperature response  precipitation change  climate change projections  GCM biases  
Coupling of Indo-Pacific climate variability over the last millennium 期刊论文
NATURE, 2020
作者:  Chow, Brian W.;  Nunez, Vicente;  Kaplan, Luke;  Granger, Adam J.;  Bistrong, Karina;  Zucker, Hannah L.;  Kumar, Payal;  Sabatini, Bernardo L.;  Gu, Chenghua
收藏  |  浏览/下载:57/0  |  提交时间:2020/05/13

Coral records indicate that the variability of the Indian Ocean Dipole over the last millennium is strongly coupled to variability in the El Nino/Southern Oscillation and that recent extremes are unusual but not unprecedented.


The Indian Ocean Dipole (IOD) affects climate and rainfall across the world, and most severely in nations surrounding the Indian Ocean(1-4). The frequency and intensity of positive IOD events increased during the twentieth century(5) and may continue to intensify in a warming world(6). However, confidence in predictions of future IOD change is limited by known biases in IOD models(7) and the lack of information on natural IOD variability before anthropogenic climate change. Here we use precisely dated and highly resolved coral records from the eastern equatorial Indian Ocean, where the signature of IOD variability is strong and unambiguous, to produce a semi-continuous reconstruction of IOD variability that covers five centuries of the last millennium. Our reconstruction demonstrates that extreme positive IOD events were rare before 1960. However, the most extreme event on record (1997) is not unprecedented, because at least one event that was approximately 27 to 42 per cent larger occurred naturally during the seventeenth century. We further show that a persistent, tight coupling existed between the variability of the IOD and the El Nino/Southern Oscillation during the last millennium. Indo-Pacific coupling was characterized by weak interannual variability before approximately 1590, which probably altered teleconnection patterns, and by anomalously strong variability during the seventeenth century, which was associated with societal upheaval in tropical Asia. A tendency towards clustering of positive IOD events is evident in our reconstruction, which-together with the identification of extreme IOD variability and persistent tropical Indo-Pacific climate coupling-may have implications for improving seasonal and decadal predictions and managing the climate risks of future IOD variability.


  
The Importance of Greenland in Setting the Northern Preferred Position of the North Atlantic Eddy-Driven Jet 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (23) : 14126-14134
作者:  White, Rachel H.;  Hilgenbrink, Casey;  Sheshadri, Aditi
收藏  |  浏览/下载:13/0  |  提交时间:2020/02/17
Jet Latitude Index  Weather regimes  North Atlantic atmospheric circulation  Greenland  CMIP5 biases  Jet preferred positions  
Evaluation of the skill of North-American Multi-Model Ensemble (NMME) Global Climate Models in predicting average and extreme precipitation and temperature over the continental USA 期刊论文
CLIMATE DYNAMICS, 2019, 53 (12) : 7381-7396
作者:  Slater, Louise J.;  Villarini, Gabriele;  Bradley, Allen A.
收藏  |  浏览/下载:22/0  |  提交时间:2020/02/17
Seasonal forecasting  NMME  Flood  Drought  Multi-model ensemble  Model biases  
Process-oriented assessment of RCA4 regional climate model projections over the Congo Basin under 1.5. C and 2. C global warming levels: influence of regional moisture fluxes 期刊论文
CLIMATE DYNAMICS, 2019, 53: 1911-1935
作者:  Tamoffo, Alain T.;  Moufouma-Okia, Wilfran;  Dosio, Alessandro;  James, Rachel;  Pokam, Wilfried M.;  Vondou, Derbetini A.;  Fotso-Nguemo, Thierry C.;  Guenang, Guy Merlin;  Kamsu-Tamo, Pierre H.;  Nikulin, Grigory;  Longandjo, Georges-Noel;  Lennard, Christopher J.;  Bell, Jean-Pierre;  Takong, Roland R.;  Haensler, Andreas;  Tchotchou, Lucie A. Djiotang;  Nouayou, Robert
收藏  |  浏览/下载:17/0  |  提交时间:2019/11/27
Congo Basin rainfall biases  RCA4  CMIP5  Moisture convergence  Global warming levels  RCPs  
Modeling Dust in East Asia by CESM and Sources of Biases 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (14) : 8043-8064
作者:  Wu, Mingxuan;  Liu, Xiaohong;  Yang, Kang;  Luo, Tao;  Wane, Zhien;  Wu, Chenglai;  Zhang, Kai;  Yu, Hongbin;  Darmenov, Anton
收藏  |  浏览/下载:24/0  |  提交时间:2019/11/27
CESM  dust  CALIPSO  East Asia  model biases  
Challenges in predicting and simulating summer rainfall in the eastern China 期刊论文
CLIMATE DYNAMICS, 2019, 52: 2217-2233
作者:  Liang, Ping;  Hu, Zeng-Zhen;  Liu, Yunyun;  Yuan, Xing;  Li, Xiaofan;  Jiang, Xingwen
收藏  |  浏览/下载:20/0  |  提交时间:2019/04/09
Summer rainfall forecast  Eastern China  Perfect model skill  Internal variability and SST forcing  Model and reanalysis biases  
Respective roles of remote and local wind stress forcings in the development of warm SST errors in the South-Eastern Tropical Atlantic in a coupled high-resolution model 期刊论文
CLIMATE DYNAMICS, 2019, 52: 1359-1382
作者:  Goubanova, Katerina;  Sanchez-Gomez, Emilia;  Frauen, Claudia;  Voldoire, Aurore
收藏  |  浏览/下载:14/0  |  提交时间:2019/04/09
General circulation models  Model systematic biases  Atmosphere-Ocean coupling  Tropical Atlantic  Seasonal prediction  Benguela upwelling system  
A Resampling Approach for Correcting Systematic Spatiotemporal Biases for Multiple Variables in a Changing Climate 期刊论文
WATER RESOURCES RESEARCH, 2019, 55 (1) : 754-770
作者:  Mehrotra, R.;  Sharma, A.
收藏  |  浏览/下载:13/0  |  提交时间:2019/04/09
three-dimensional bias correction  spatiotemporal biases  resampling  aggregated time scales  quantile mapping  climate model  
Effect of coupled global climate models sea surface temperature biases on simulated climate of the western United States 期刊论文
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (14) : 5386-5404
作者:  Mejia, John F.;  Koracin, Darko;  Wilcox, Eric M.
收藏  |  浏览/下载:10/0  |  提交时间:2019/04/09
CMIP3  CMIP5  dynamical downscaling  error transfer  precipitation bias  RCM  SST biases