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IEA发布2023年可再生能源年度展望报告 快报文章
地球科学快报,2024年第2期
作者:  王立伟
Microsoft Word(22Kb)  |  收藏  |  浏览/下载:544/0  |  提交时间:2024/01/25
Renewables  Analysis  forecasts  
Verification of high resolution (12 km) Global Ensemble Prediction System 期刊论文
ATMOSPHERIC RESEARCH, 2020, 236
作者:  Mamgain, Ashu;  Sarkar, Abhijit;  Rajagopal, E. N.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
Ensemble Prediction System  Ensemble member  Probabilistic forecasts  Ensemble-spread  Brier score  Reliability diagram  
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:56/0  |  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.


  
A study of ensemble-sensitivity-based initial condition perturbation methods for convection-permitting ensemble forecasts 期刊论文
ATMOSPHERIC RESEARCH, 2020, 234
作者:  Zhang, Xinyan;  Min, Jinzhong;  Wu, Tianjie
收藏  |  浏览/下载:11/0  |  提交时间:2020/07/02
Ensemble-based sensitivity analysis  Initial condition perturbations  Convection-permitting ensemble forecasts  
How Does Hurricane Edouard (2014) Evolve toward Symmetry before Rapid Intensification? A High-Resolution Ensemble Study 期刊论文
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2020, 77 (4) : 1329-1351
作者:  Alvey, George R., III;  Zipser, Ed;  Zawislak, Jonathan
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/02
Deep convection  Tropical cyclones  Ensembles  Probability forecasts  models  distribution  
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:12/0  |  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:11/0  |  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.


  
Seasonal forecasts of North Atlantic tropical cyclone activity in the North American Multi-Model Ensemble 期刊论文
CLIMATE DYNAMICS, 2019, 53 (12) : 7169-7184
作者:  Manganello, Julia V.;  Cash, Benjamin A.;  Hodges, Kevin I.;  Kinter, James L.
收藏  |  浏览/下载:11/0  |  提交时间:2020/02/17
Seasonal forecasts  North Atlantic  Tropical cyclone frequency  North American Multi-Model Ensemble  
A dynamical statistical framework for seasonal streamflow forecasting in an agricultural watershed 期刊论文
CLIMATE DYNAMICS, 2019, 53 (12) : 7429-7445
作者:  Slater, Louise J.;  Villarini, Gabriele;  Bradley, A. Allen;  Vecchi, Gabriel A.
收藏  |  浏览/下载:11/0  |  提交时间:2020/02/17
Seasonal forecasting  Probabilistic forecast  Streamflow forecasts  North-American Multi Model ensemble (NMME)  
Deterministic Skill of Subseasonal Precipitation Forecasts for the East Africa-West Asia Sector from September to May 期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2019, 124 (22) : 11887-11896
作者:  Vigaud, N.;  Tippett, M. K.;  Robertson, A. W.
收藏  |  浏览/下载:11/0  |  提交时间:2020/02/17
S2S rainfall forecasts show statistically significant skill in the East Africa-West Asia sector out to Week 4  Forecast skill of dynamical models exceeds that of statistical models based on ENSO and the MJO  Tropical-temperate interactions may represent a new source of S2S predictability