Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.2172/1248487 |
报告编号 | DOE/SC-ARM--15-066 |
来源ID | OSTI ID: 1248487 |
Observations and Modeling of the Green Ocean Amazon 2014/15. CHUVA Field Campaign Report | |
Machado, L. A. T. | |
2016-03-01 | |
出版年 | 2016 |
页数 | 10 |
语种 | 英语 |
国家 | 美国 |
出版者 | Pacific Northwest National Laboratory;Richland, Washington |
领域 | 地球科学 |
英文摘要 | The physical processes inside clouds are one of the most unknown components of weather and climate systems. A description of cloud processes through the use of standard meteorological parameters in numerical models has to be strongly improved to accurately describe the characteristics of hydrometeors, latent heating profiles, radiative balance, air entrainment, and cloud updrafts and downdrafts. Numerical models have been improved to run at higher spatial resolutions where it is necessary to explicitly describe these cloud processes. For instance, to analyze the effects of global warming in a given region it is necessary to perform simulations taking into account all of the cloud processes described above. Another important application that requires this knowledge is satellite precipitation estimation. The analysis will be performed focusing on the microphysical evolution and cloud life cycle, different precipitation estimation algorithms, the development of thunderstorms and lightning formation, processes in the boundary layer, and cloud microphysical modeling. This project intends to extend the knowledge of these cloud processes to reduce the uncertainties in precipitation estimation, mainly from warm clouds, and, consequently, improve knowledge of the water and energy budget and cloud microphysics. |
URL | 查看原文 |
来源平台 | US Department of Energy (DOE) |
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文献类型 | 科技报告 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/7320 |
专题 | 地球科学 |
推荐引用方式 GB/T 7714 | Machado, L. A. T.. Observations and Modeling of the Green Ocean Amazon 2014/15. CHUVA Field Campaign Report:Pacific Northwest National Laboratory;Richland, Washington,2016. |
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