DOI: 10.1175/JCLI-D-17-0224.1
Scopus记录号: 2-s2.0-85049733709
论文题名: The next-generation Goddard convective-stratiform heating algorithm: New tropical and warm-season retrievals for GPM
作者: Lang S.E. ; Tao W.-K.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 15 起始页码: 5997
结束页码: 6026
语种: 英语
英文关键词: Algorithms
; Convection
; Heating
; Mesoscale systems
; Remote sensing
; Satellite observations
Scopus关键词: Algorithms
; Heat convection
; Heating rate
; Rain
; Rain gages
; Reflection
; Remote sensing
; Table lookup
; Tropics
; Cloud resolving model
; Global precipitation measurement missions
; Lookup tables (LUTs)
; Meso-scale systems
; Satellite observations
; Selection criteria
; Shallow convection
; Tropical rainfall measuring missions
; Heating
; algorithm
; atmospheric convection
; heating
; mesoscale meteorology
; observational method
; precipitation (climatology)
; remote sensing
; satellite data
; TRMM
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 ~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%. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/111427
Appears in Collections: 气候减缓与适应
There are no files associated with this item.
作者单位: Mesoscale Atmospheric Processes Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, United States; Science Systems and Applications, Inc., Lanham, MD, United States
Recommended Citation:
Lang S.E.,Tao W.-K.. The next-generation Goddard convective-stratiform heating algorithm: New tropical and warm-season retrievals for GPM[J]. Journal of Climate,2018-01-01,31(15)