Evaluation of and Suggested Improvements to the WSM6 Microphysics in WRF-ARW Using Synthetic and Observed GOES-13 ImagerySource: Monthly Weather Review:;2014:;volume( 142 ):;issue: 010::page 3635Author:Grasso, Lewis
,
Lindsey, Daniel T.
,
Sunny Lim, Kyo-Sun
,
Clark, Adam
,
Bikos, Dan
,
Dembek, Scott R.
DOI: 10.1175/MWR-D-14-00005.1Publisher: American Meteorological Society
Abstract: ynthetic satellite imagery can be employed to evaluate simulated cloud fields. Past studies have revealed that the Weather Research and Forecasting (WRF) single-moment 6-class (WSM6) microphysics scheme in the Advanced Research WRF (WRF-ARW) produces less upper-level ice clouds within synthetic images compared to observations. Synthetic Geostationary Operational Environmental Satellite-13 (GOES-13) imagery at 10.7 ?m of simulated cloud fields from the 4-km National Severe Storms Laboratory (NSSL) WRF-ARW is compared to observed GOES-13 imagery. Histograms suggest that too few points contain upper-level simulated ice clouds. In particular, side-by-side examples are shown of synthetic and observed anvils. Such images illustrate the lack of anvil cloud associated with convection produced by the 4-km NSSL WRF-ARW. A vertical profile of simulated hydrometeors suggests that too much cloud water mass may be converted into graupel mass, effectively reducing the main source of ice mass in a simulated anvil. Further, excessive accretion of ice by snow removes ice from an anvil by precipitation settling. Idealized sensitivity tests reveal that a 50% reduction of the accretion rate of ice by snow results in a significant increase in anvil ice of a simulated storm. Such results provide guidance as to which conversions could be reformulated, in a more physical manner, to increase simulated ice mass in the upper troposphere.
|
Collections
Show full item record
contributor author | Grasso, Lewis | |
contributor author | Lindsey, Daniel T. | |
contributor author | Sunny Lim, Kyo-Sun | |
contributor author | Clark, Adam | |
contributor author | Bikos, Dan | |
contributor author | Dembek, Scott R. | |
date accessioned | 2017-06-09T17:31:55Z | |
date available | 2017-06-09T17:31:55Z | |
date copyright | 2014/10/01 | |
date issued | 2014 | |
identifier issn | 0027-0644 | |
identifier other | ams-86817.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4230417 | |
description abstract | ynthetic satellite imagery can be employed to evaluate simulated cloud fields. Past studies have revealed that the Weather Research and Forecasting (WRF) single-moment 6-class (WSM6) microphysics scheme in the Advanced Research WRF (WRF-ARW) produces less upper-level ice clouds within synthetic images compared to observations. Synthetic Geostationary Operational Environmental Satellite-13 (GOES-13) imagery at 10.7 ?m of simulated cloud fields from the 4-km National Severe Storms Laboratory (NSSL) WRF-ARW is compared to observed GOES-13 imagery. Histograms suggest that too few points contain upper-level simulated ice clouds. In particular, side-by-side examples are shown of synthetic and observed anvils. Such images illustrate the lack of anvil cloud associated with convection produced by the 4-km NSSL WRF-ARW. A vertical profile of simulated hydrometeors suggests that too much cloud water mass may be converted into graupel mass, effectively reducing the main source of ice mass in a simulated anvil. Further, excessive accretion of ice by snow removes ice from an anvil by precipitation settling. Idealized sensitivity tests reveal that a 50% reduction of the accretion rate of ice by snow results in a significant increase in anvil ice of a simulated storm. Such results provide guidance as to which conversions could be reformulated, in a more physical manner, to increase simulated ice mass in the upper troposphere. | |
publisher | American Meteorological Society | |
title | Evaluation of and Suggested Improvements to the WSM6 Microphysics in WRF-ARW Using Synthetic and Observed GOES-13 Imagery | |
type | Journal Paper | |
journal volume | 142 | |
journal issue | 10 | |
journal title | Monthly Weather Review | |
identifier doi | 10.1175/MWR-D-14-00005.1 | |
journal fristpage | 3635 | |
journal lastpage | 3650 | |
tree | Monthly Weather Review:;2014:;volume( 142 ):;issue: 010 | |
contenttype | Fulltext |