| DOI: | 10.1175/JCLI-D-11-00472.1
|
| Scopus记录号: | 2-s2.0-84869843912
|
| 论文题名: | A clustering approach to compare cloud model simulations to satellite observations |
| 作者: | Wang F.; Kummerow C.
|
| 刊名: | Journal of Climate
|
| ISSN: | 8948755
|
| 出版年: | 2012
|
| 卷: | 25, 期:22 | | 起始页码: | 7896
|
| 结束页码: | 7916
|
| 语种: | 英语
|
| Scopus关键词: | Clear sky
; Cloud models
; Cloud resolving model
; Cloud types
; Clustering approach
; Convective clouds
; Convective storms
; High frequency HF
; Ice particles
; Microphysical property
; Microwave brightness temperature
; Regional atmospheric modeling systems
; Satellite observations
; Size parameters
; Supercooled water
; Tropical rainfall measuring missions
; Clouds
; Cluster analysis
; Precipitation (meteorology)
; Storms
; Computer simulation
; atmospheric modeling
; cloud microphysics
; cluster analysis
; convective system
; satellite data
; TRMM
; Amazonia
|
| 英文摘要: | Cloud-resolving models (CRMs) offer an important pathway to interpret satellite observations of microphysical properties of storms. High-frequency microwave brightness temperatures (Tbs) respond to precipitating-sized ice particles and can therefore be compared with simulated Tbs at the same frequencies. By clustering the Tb vectors at these frequencies, the scene can be classified into distinct microphysical regimes (in other words, cloud types). A convective storm over the Amazon observed by the Tropical Rainfall Measuring Mission (TRMM) is simulated using the Regional Atmospheric Modeling System (RAMS) in a semi-ideal setting, and four regimes are defined within the scene using cluster analysis: the "clear sky/thin cirrus" cluster, the "cloudy" cluster, the "stratiform anvil" cluster, and the "convective" cluster. Cluster-bycluster comparisons between the observations and the simulations disclose biases in the model that are consistent with an overproduction of supercooled water and an excess of large hail particles. While other problems cannot be completely ruled out, the method does provide some guidance to assess microphysical fidelity within each cluster or cloud type. Guided by the apparent model/observational discrepancies in the convective cloud cluster, the hail size parameter was adjusted in order to produce a greater number of smaller hail particles consistent with the observations. While the work cannot define microphysical errors in an unambiguously fashion, the cluster analysis is seen as useful to isolate individual microphysical inconsistencies that can then be addressed within each cluster of cloud type. © 2012 American Meteorological Society. |
| Citation statistics: |
|
| 资源类型: | 期刊论文
|
| 标识符: | http://119.78.100.158/handle/2HF3EXSE/52169
|
| Appears in Collections: | 气候变化事实与影响
|
|
There are no files associated with this item.
|
|
作者单位: | Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States
|
| Recommended Citation: | |
Wang F.,Kummerow C.. A clustering approach to compare cloud model simulations to satellite observations[J]. Journal of Climate,2012-01-01,25(22)
|
|
|