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The projected timing of abrupt ecological disruption from climate change 期刊论文
NATURE, 2020, 580 (7804) : 496-+
作者:  Gorgulla, Christoph;  Boeszoermenyi, Andras;  Wang, Zi-Fu;  Fischer, Patrick D.;  Coote, Paul W.;  Padmanabha Das, Krishna M.;  Malets, Yehor S.;  Radchenko, Dmytro S.;  Moroz, Yurii S.;  Scott, David A.;  Fackeldey, Konstantin;  Hoffmann, Moritz;  Iavniuk, Iryna;  Wagner, Gerhard;  Arthanari, Haribabu
收藏  |  浏览/下载:84/0  |  提交时间:2020/05/13

As anthropogenic climate change continues the risks to biodiversity will increase over time, with future projections indicating that a potentially catastrophic loss of global biodiversity is on the horizon(1-3). However, our understanding of when and how abruptly this climate-driven disruption of biodiversity will occur is limited because biodiversity forecasts typically focus on individual snapshots of the future. Here we use annual projections (from 1850 to 2100) of temperature and precipitation across the ranges of more than 30,000 marine and terrestrial species to estimate the timing of their exposure to potentially dangerous climate conditions. We project that future disruption of ecological assemblages as a result of climate change will be abrupt, because within any given ecological assemblage the exposure of most species to climate conditions beyond their realized niche limits occurs almost simultaneously. Under a high-emissions scenario (representative concentration pathway (RCP) 8.5), such abrupt exposure events begin before 2030 in tropical oceans and spread to tropical forests and higher latitudes by 2050. If global warming is kept below 2 degrees C, less than 2% of assemblages globally are projected to undergo abrupt exposure events of more than 20% of their constituent species  however, the risk accelerates with the magnitude of warming, threatening 15% of assemblages at 4 degrees C, with similar levels of risk in protected and unprotected areas. These results highlight the impending risk of sudden and severe biodiversity losses from climate change and provide a framework for predicting both when and where these events may occur.


Using annual projections of temperature and precipitation to estimate when species will be exposed to potentially harmful climate conditions reveals that disruption of ecological assemblages as a result of climate change will be abrupt and could start as early as the current decade.


  
Short-term tests validate long-term estimates of climate change 期刊论文
NATURE, 2020, 582 (7811) : 185-186
作者:  Tollefson, Jeff
收藏  |  浏览/下载:19/0  |  提交时间:2020/07/03

Climate sensitivity to atmospheric CO2 levels is likely to be high.


Six-hour weather forecasts have been used to validate estimates of climate change hundreds of years from now. Such tests have great potential - but only if our weather-forecasting and climate-prediction systems are unified.


  
Early climate models successfully predicted global warming 期刊论文
NATURE, 2020, 578 (7793) : 45-46
作者:  Bertolucci, Sergio;  Mulargia, Francesco;  Giardini, Domenico
收藏  |  浏览/下载:19/0  |  提交时间:2020/07/03

An evaluation of past climate-model forecasts.


Climate models published between 1970 and 2007 provided accurate forecasts of subsequently observed global surface warming. This finding shows the value of using global observations to vet climate models as the planet warms.


  
Coupling of a physically based lake model into the climate forecast system to improve winter climate forecasts for the Great Lakes region 期刊论文
CLIMATE DYNAMICS, 2019, 53: 6503-6517
作者:  Lv, Zhemin;  Zhang, Shaobo;  Jin, Jiming;  Wu, Yihua;  Ek, Michael B.
收藏  |  浏览/下载:24/0  |  提交时间:2019/11/27
Climate forecasts  CFS  FLake  Lake-atmosphere coupled model  Lake effects  
Skill of dynamical and GHACOF consensus seasonal forecasts of East African rainfall 期刊论文
CLIMATE DYNAMICS, 2019, 53: 4911-4935
作者:  Walker, Dean P.;  Birch, Cathryn E.;  Marsham, John H.;  Scaife, Adam A.;  Graham, Richard J.;  Segele, Zewdu T.
收藏  |  浏览/下载:32/0  |  提交时间:2019/11/27
Seasonal climate forecasts  Consensus outlooks  East Africa  Precipitation  Probabilistic verification  
Impact of Snow Initialization in Subseasonal-to-Seasonal Winter Forecasts With the Norwegian Climate Prediction Model 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019
作者:  Li, F.;  Orsolini, Y. J.;  Keenlyside, N.;  Shen, M. -L.;  Counillon, F.;  Wang, Y. G.
收藏  |  浏览/下载:17/0  |  提交时间:2019/11/27
subseasonal-to-seasonal forecasts  snow initialization  Norwegian Climate Prediction Model  Whole Atmosphere Community Climate Model  Arctic Oscillation  snow-atmosphere coupling  
Skill of Indian summer monsoon rainfall prediction in multiple seasonal prediction systems 期刊论文
CLIMATE DYNAMICS, 2019, 52: 5291-5301
作者:  Jain, Shipra;  Scaife, Adam A.;  Mitra, Ashis K.
收藏  |  浏览/下载:15/0  |  提交时间:2019/11/26
Climate Historical Forecasts Project (CHFP)  Seasonal prediction  Indian monsoon  ENSO-monsoon teleconnection  Seasonal hindcasts  
How Global Warming Changes the Difficulty of Synoptic Weather Forecasting 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2019, 46 (5) : 2931-2939
作者:  Scher, S.;  Messori, G.
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/26
ensemble forecasts  climate change  forecast uncertainty  synoptic meteorology  
A Test of Emergent Constraints on Cloud Feedback and Climate Sensitivity Using a Calibrated Single-Model Ensemble 期刊论文
JOURNAL OF CLIMATE, 2018, 31 (18) : 7515-7532
作者:  Wagman, Benjamin M.;  Jackson, Charles S.
收藏  |  浏览/下载:15/0  |  提交时间:2019/04/09
Atmosphere  Climate sensitivity  Bayesian methods  Climate prediction  Ensembles  Probability forecasts  models  distribution  
Relating Anomaly Correlation to Lead Time: Principal Component Analysis of NMME Forecasts of Summer Precipitation in China 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (11) : 6039-6052
作者:  Zhao, Tongtiegang;  Chen, Xiaohong;  Liu, Pan;  Zhang, Yongyong;  Liu, Bingjun;  Lin, Kairong
收藏  |  浏览/下载:12/0  |  提交时间:2019/04/09
global climate model  seasonal forecasts  precipitation  anomaly correlation  spatial and temporal variation