Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.2172/1147164 |
报告编号 | ORNL/TM--2014/21 |
来源ID | OSTI ID: 1147164 |
Scientific Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report | |
Hoffman, Forest M.; Bochev, Pavel B.; Cameron-Smith, Philip J.. | |
2014-01-15 | |
出版年 | 2014 |
页数 | 30 |
语种 | 英语 |
国家 | 美国 |
领域 | 地球科学 |
英文摘要 | The Applying Computationally Efficient Schemes for BioGeochemical Cycles ACES4BGC Project is advancing the predictive capabilities of Earth System Models (ESMs) by reducing two of the largest sources of uncertainty, aerosols and biospheric feedbacks, with a highly efficient computational approach. In particular, this project is implementing and optimizing new computationally efficient tracer advection algorithms for large numbers of tracer species; adding important biogeochemical interactions between the atmosphere, land, and ocean models; and applying uncertainty quanti cation (UQ) techniques to constrain process parameters and evaluate uncertainties in feedbacks between biogeochemical cycles and the climate system. |
英文关键词 | Earth System Models climate biospheric feedbacks |
URL | 查看原文 |
来源平台 | US Department of Energy (DOE) |
引用统计 | |
文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/6696 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Hoffman, Forest M.,Bochev, Pavel B.,Cameron-Smith, Philip J... Scientific Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report,2014. |
条目包含的文件 | 条目无相关文件。 |
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