Lagrangian Study of Cloud Properties and Their Relationships to Meteorological Parameters over the U.S. Southern Great Plains
Guang Jun Zhang
Abstract
Guang Jun Zhang
Abstract
Hourly satellite cloud data from 18 June to 18 July 1997 over the U.S. southern Great Plains are analyzed to study the scale-dependent cloud properties and their relationships to atmospheric conditions. The observed clouds are classified into high, midlevel, and low clouds according to their top heights. For each cloud type, contribution to the total cloud amount from clouds of different sizes is determined using a Lagrangian cloud classification scheme. It is found that in this continental, convectively active environment, more than half of the total cloud amount is from high clouds, of which 80 % comes from clouds with area.4 3 104 km2. For midlevel clouds, more than 50 % of the contribution to cloud amount is from small clouds (e.g., cloud area,4 3 104 km2). Almost all of the low clouds with significant contribution to cloud amount have spatial scales,4 3 104 km2. This suggests that most of the midlevel and low clouds are of subgrid scale to a typical GCM resolution (T42 or T63). It is further found that cloud radiative properties, such as cloud albedo, outgoing longwave radiation, and cloud radiative forcing, have strong scale dependence. Bigger clouds are brighter and have lower outgoing longwave radiation. These results indicate that contributions to the observed cloud radiative forcing are dominated by large cloud systems. The diurnal variation of the cloud properties is also examined. Using concurrent meteorological analysis from NCEP, possible relationships between cloud properties and
OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Hourly satellite cloud data from 18 June to 18 July 1997 over the U.S. southern Great Plains are analyzed to study the scale-dependent cloud properties and their relationships to atmospheric conditions. The observed clouds are classified into high, midlevel, and low clouds according to their top heights. For each cloud type, contribution to the total cloud amount from clouds of different sizes is determined using a Lagrangian cloud classification scheme. It is found that in this continental, convectively active environment, more than half of the total cloud amount is from high clouds, of which 80 % comes from clouds with area.4 3 104 km2. For midlevel clouds, more than 50 % of the contribution to cloud amount is from small clouds (e.g., cloud area,4 3 104 km2). Almost all of the low clouds with significant contribution to cloud amount have spatial scales,4 3 104 km2. This suggests that most of the midlevel and low clouds are of subgrid scale to a typical GCM resolution (T42 or T63). It is further found that cloud radiative properties, such as cloud albedo, outgoing longwave radiation, and cloud radiative forcing, have strong scale dependence. Bigger clouds are brighter and have lower outgoing longwave radiation. These results indicate that contributions to the observed cloud radiative forcing are dominated by large cloud systems. The diurnal variation of the cloud properties is also examined. Using concurrent meteorological analysis from NCEP, possible relationships between cloud properties and
Key concepts: Cloud forcing, Cloud albedo, Longwave, Environmental science, Cloud top, Cloud computing, International Satellite Cloud Climatology Project, Outgoing longwave radiation