Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-17-0224.1 |
The Next-Generation Goddard Convective-Stratiform Heating Algorithm: New Tropical and Warm-Season Retrievals for GPM | |
Lang, Stephen E.1,2; Tao, Wei-Kuo1 | |
2018-08-01 | |
发表期刊 | JOURNAL OF CLIMATE
![]() |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:15页码:5997-6026 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | The Goddard convective-stratiform heating (CSH) algorithm, used to estimate cloud heating in support of the Tropical Rainfall Measuring Mission (TRMM), is upgraded in support of the Global Precipitation Measurement (GPM) mission. The algorithm's lookup tables (LUTs) are revised using new and additional cloud-resolving model (CRM) simulations from the Goddard Cumulus Ensemble (GCE) model, producing smoother heating patterns that span a wider range of intensities because of the increased sampling and finer GPM product grid. Low-level stratiform cooling rates are reduced in the land LUTs for a given rain intensity because of the rain evaporation correction in the new four-class ice (4ICE) scheme. Additional criteria, namely, echo-top heights and low-level reflectivity gradients, are tested for the selection of heating profiles. Those resulting LUTs show greater and more precise variation in their depth of heating as well as a tendency for stronger cooling and heating rates when low-level dBZ values decrease toward the surface. Comparisons versus TRMM for a 3-month period show much more low-level heating in the GPM retrievals because of increased detection of shallow convection, while upper-level heating patterns remain similar. The use of echo tops and low-level reflectivity gradients greatly reduces midlevel heating from similar to 2 to 5 km in the mean GPM heating profile, resulting in a more top-heavy profile like TRMM versus a more bottom-heavy profile with much more midlevel heating. Integrated latent heating rates are much better balanced versus surface rainfall for the GPM retrievals using the additional selection criteria with an overall bias of +4.3%. |
英文关键词 | Convection Heating Mesoscale systems Algorithms Remote sensing Satellite observations |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000437092900002 |
WOS关键词 | FREQUENCY PRECIPITATION RADAR ; MEASURING MISSION TRMM ; MADDEN-JULIAN OSCILLATION ; BULK MICROPHYSICS SCHEME ; CLOUD-RESOLVING MODEL ; TOGA COARE ; SPECTRAL RETRIEVAL ; VERTICAL PROFILES ; MOISTURE BUDGETS ; PR DATA |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20916 |
专题 | 气候变化 |
作者单位 | 1.NASA, Goddard Space Flight Ctr, Mesoscale Atmospher Proc Lab, Greenbelt, MD 20771 USA; 2.Sci Syst & Applicat Inc, Lanham, MD 20706 USA |
推荐引用方式 GB/T 7714 | Lang, Stephen E.,Tao, Wei-Kuo. The Next-Generation Goddard Convective-Stratiform Heating Algorithm: New Tropical and Warm-Season Retrievals for GPM[J]. JOURNAL OF CLIMATE,2018,31(15):5997-6026. |
APA | Lang, Stephen E.,&Tao, Wei-Kuo.(2018).The Next-Generation Goddard Convective-Stratiform Heating Algorithm: New Tropical and Warm-Season Retrievals for GPM.JOURNAL OF CLIMATE,31(15),5997-6026. |
MLA | Lang, Stephen E.,et al."The Next-Generation Goddard Convective-Stratiform Heating Algorithm: New Tropical and Warm-Season Retrievals for GPM".JOURNAL OF CLIMATE 31.15(2018):5997-6026. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论