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Characteristics of Stable Layers during DYNAMO: Insights from Sonde Data and Remote Sensing

This report presents an analysis of stable layer characteristics during the DYNAMO field campaign conducted in July 2013. Utilizing a dataset from DYNAMO sonde measurements at Male, Gan, and Diego Garcia, we delve into the features of stable atmospheric layers. The study incorporates data from DigiCora RS92 and the PNNL Combined Remote Sensor Retrieval Algorithm to examine vertical profiles up to 20 km with fine resolution. The reported mean freezing levels and their variability based on atmospheric stability are analyzed, highlighting significant findings relevant to meteorological research.

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Characteristics of Stable Layers during DYNAMO: Insights from Sonde Data and Remote Sensing

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  1. Characteristics of stable layers during DYNAMO 23, Jul, 2013 Hungjui Yu, Paul Ciesielski, Richard Johnson

  2. Data • DYNAMO sonde dataset at Male, Ganand Diego Garcia. • DigiCora RS92 Ver.6.34 (Male, Gan) • 4-8 sondes per day. • Vertical resolution interpolated to 5 hPa. • PNNL Combined Remote Sensor Retrieval Algorithm (CombRet) dataset at Gan island. • Retrieved from radar and lidar. • Every 30 sec. • 224 layers to 20 km height.

  3. Mean freezing level: 566hPa (4.87km)

  4. Mean freezing level (≧75%): 571.5 hPa (4.79km) • Mean freezing level (<75%): 563.6 hPa(4.92km)

  5. Mean freezing level: 569hPa (4.84km)

  6. Mean freezing level (≧75%): 572.9 hPa (4.77km) • Mean freezing level (<75%): 567.4 hPa(4.86km)

  7. Mean freezing level: 558hPa (4.97km)

  8. Mean freezing level (≧75%): 566 hPa (4.88km) • Mean freezing level (<75%): 555 hPa (5.00km)

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