 |
| Titel |
Evaluating a lightning parameterization based on cloud-top height for mesoscale numerical model simulations |
| VerfasserIn |
J. Wong, M. C. Barth, D. Noone |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1991-959X
|
| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 6, no. 2 ; Nr. 6, no. 2 (2013-04-03), S.429-443 |
| Datensatznummer |
250017800
|
| Publikation (Nr.) |
 copernicus.org/gmd-6-429-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| The Price and Rind lightning parameterization based on cloud-top
height is a commonly used method for predicting flash rate in global
chemistry models. As mesoscale simulations begin to implement flash rate
predictions at resolutions that partially resolve convection, it is necessary
to validate and understand the behavior of this method within such a regime. In
this study, we tested the flash rate parameterization,
intra-cloud/cloud-to-ground (IC:CG) partitioning parameterization, and
the associated resolution dependency "calibration factor" by
Price and Rind using the Weather Research and Forecasting (WRF)
model running at 36 km, 12 km, and 4 km grid spacings
within the continental United States. Our results show that while the
integrated flash count is consistent with observations when model biases in
convection are taken into account, an erroneous frequency distribution is
simulated. When the spectral characteristics of lightning flash rate are a
concern, we recommend the use of prescribed IC:CG values. In addition,
using cloud-top from convective parameterization, the "calibration factor"
is also shown to be insufficient in reconciling the resolution dependency at
the tested grid spacing used in this study. We recommend scaling by areal
ratio relative to a base-case grid spacing determined by convective core
density. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|