scholarly journals Evolution of Precipitation Structure During the November DYNAMO MJO Event: Cloud-Resolving Model Inter-comparison and Cross-Validation using Radar Observations

2017 ◽  
Author(s):  
Xiaowen Li ◽  
Matthew Janiga ◽  
Shuguang Wang ◽  
Wei-Kuo Tao ◽  
Angela Rowe ◽  
...  
2013 ◽  
Vol 141 (2) ◽  
pp. 582-601 ◽  
Author(s):  
Nick Guy ◽  
Xiping Zeng ◽  
Steven A. Rutledge ◽  
Wei-Kuo Tao

Abstract Two mesoscale convective systems (MCSs) observed during the African Monsoon Multidisciplinary Analyses (AMMA) experiment are simulated using the three-dimensional (3D) Goddard Cumulus Ensemble model. This study was undertaken to determine the performance of the cloud-resolving model in representing distinct convective and microphysical differences between the two MCSs over a tropical continental location. Simulations are performed using 1-km horizontal grid spacing, a lower limit on current embedded cloud-resolving models within a global multiscale modeling framework. Simulated system convective structure and microphysics are compared to radar observations using contoured frequency-by-altitude diagrams (CFADs), calculated ice and water mass, and identified hydrometeor variables. Vertical distributions of ice hydrometeors indicate underestimation at the mid- and upper levels, partially due to the inability of the model to produce adequate system heights. The abundance of high-reflectivity values below and near the melting level in the simulation led to a broadening of the CFAD distributions. Observed vertical reflectivity profiles show that high reflectivity is present at greater heights than the simulations produced, thought to be a result of using a single-moment microphysics scheme. Relative trends in the population of simulated hydrometeors are in agreement with observations, though a secondary convective burst is not well represented. Despite these biases, the radar-observed differences between the two cases are noticeable in the simulations as well, suggesting that the model has some skill in capturing observed differences between the two MCSs.


2011 ◽  
Vol 4 (1) ◽  
pp. 1-25 ◽  
Author(s):  
P. Arason ◽  
G. N. Petersen ◽  
H. Bjornsson

Abstract. The eruption of Eyjafjallajökull volcano in 2010 lasted for 39 days, 14 April–23 May. The eruption had two explosive phases separated by a phase with lava formation and reduced explosive activity. The height of the plume was monitored every 5 min with a C-band weather radar located in Keflavík International Airport, 155 km distance from the volcano. Furthermore, several web cameras were mounted with a view of the volcano, and their images saved every five seconds. Time series of the plume-top altitude were constructed from the radar observations and images from a web camera located in the village Hvolsvöllur at 34 km distance from the volcano. This paper presents the independent radar and web camera time series and performs cross validation. The echo top radar series of the altitude of the volcanic plume are publicly available from the Pangaea Publishing Network (http://doi.pangaea.de/10.1594/PANGAEA.760690).


Author(s):  
Andrea Monti Guarnieri ◽  
Davide D’Aria ◽  
Filippo Speziali ◽  
Giuseppe Giunta

The paper describes an innovative RADAR-based methodology to monitor vibrations in pipes and structures. RADARs sense vibrations from zero to thousands of kHz with a spatial sensitivity that goes down to a few micrometers in the best cases and they never saturates even for very large motions. Furthermore, they do it remotely, say tens of meters. The paper provides a critical analysis of performance of such technique and a cross-validation with both controlled vibration in laboratories and measures from accelerometers in campaigns in compression gas stations.


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