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Final Report for the portion performed in the University of Illinois on the project entitled 'Optimizing the Cloud-Aerosol-Radiation Ensemble Modeling System to Improve Future Climate Change Projections at Regional to Local Scales'

机译：伊利诺伊大学在题为“优化云气溶胶 - 辐射集合建模系统以改善区域到地方尺度的未来气候变化预测”项目中所做部分的最终报告

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Liang, Xin-Zhong;
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年度 2011
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机译：对流模拟中日本对未来气候变化的预测，采用带对流许可的带城市冠层的区域气候模型
2. Projection of Future Climate Change over Japan in Ensemble Simulations with a High-Resolution Regional Climate Model [J] . Akihiko Murata, Asuka Suzuki-Parker, Fumitake Shido, SOLA: Scientific Online Letters on the Atmosphere . 2015,第2期

机译：基于高分辨率区域气候模型的集合模拟对日本未来气候变化的预测
3. Distribution-based scaling to improve usability of regional climate model projections for hydrological climate change impacts studies [J] . Wei Yang, Johan Andreasson, L. Phil Graham, Hydrology research . 2010,第3a4期

机译：基于分布的标度，以提高用于水文气候变化影响研究的区域气候模型预测的可用性
4. Estimating uncertainties in globaEstimating global and North American regional climate change projections using a multi-thousand member climate model ensemble: Evaluation of the control simulations [C] . Derek Rosendahl, David Karoly AMS annual meeting . 2011

机译：估计全球浮游生物的不确定性使用成千上万的成员气候模型集合估算全球和北美区域气候变化预测：控制模拟的评估
5. Projecting Climate Change Impact on the Regional Scale: Future Changes of Wind and Wind Energy in California [D] . Wang, Meina. 2019

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6. Modeling Future Projections of Temperature-Related Excess Morbidity due to Infectious Gastroenteritis under Climate Change Conditions in Japan [O] . Daisuke Onozuka, Antonio Gasparrini, Francesco Sera, 2019

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7. Quality assessment of atmospheric surface fields over the Baltic Sea from an ensemble of regional climate model simulations with respect to ocean dynamics**The work presented in this study was jointly funded by the Swedish Environmental Protection Agency (SEPA), the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS), and the European Commission within the projects ECOSUPPORT (Advanced modelling tool for scenarios of the Baltic Sea ECOsystem to SUPPORT decision making, ref. no. 08/381), AMBER (Assessment and Modelling Baltic Ecosystem Response, ref. no. 08/390) and INFLOW (Holocene saline water inflow changes into the Baltic Sea, ecosystem responses and future scenarios, ref. no. 2008–1885). All three projects are part of the BONUS+program (http://www.bonusportal.org). [O] . Meier H.E. Markus, Höglund Anders, Döscher Ralf, 2011

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Final Report for the portion performed in the University of Illinois on the project entitled 'Optimizing the Cloud-Aerosol-Radiation Ensemble Modeling System to Improve Future Climate Change Projections at Regional to Local Scales'

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