A Ground-Based Network for Atmospheric Pressure Fluctuations

T. Hauf Institut für Physik der Atmosphäre, Deutsche Forschungsanstalt für Luft- und Raumfahrt, Oberpfaffenhofen, Germany

Search for other papers by T. Hauf in
Current site
Google Scholar
PubMed
Close
,
U. Finke Institut für Physik der Atmosphäre, Deutsche Forschungsanstalt für Luft- und Raumfahrt, Oberpfaffenhofen, Germany

Search for other papers by U. Finke in
Current site
Google Scholar
PubMed
Close
,
J. Neisser Heinrich-Hertz Institut für Atmosphärenforschung und Geomagnetismus, Berlin-Adlershof, Germany and Observatorium Lindenberg, Deutscher Wetterdienst, Germany

Search for other papers by J. Neisser in
Current site
Google Scholar
PubMed
Close
,
G. Bull Heinrich-Hertz Institut für Atmosphärenforschung und Geomagnetismus, Berlin-Adlershof, Germany

Search for other papers by G. Bull in
Current site
Google Scholar
PubMed
Close
, and
J-G. Stangenberg Heinrich-Hortz Insfitut für Atmosphärenforschung und Geomagnetismus, Berlin-Adlershof, Germany and Institut für Weltraumsensorik, Deutsche Forschungsanstalt für Luft- und Raumfahrt, Berlin-Adlershof, Germany

Search for other papers by J-G. Stangenberg in
Current site
Google Scholar
PubMed
Close
Restricted access

We are aware of a technical issue preventing figures and tables from showing in some newly published articles in the full-text HTML view.
While we are resolving the problem, please use the online PDF version of these articles to view figures and tables.

Abstract

In 1992, a surface-based, mesoscale microbarograph array with four pressure sensors was installed near the Hohenpeißenberg, southern Germany, and has since been in continuous operation. In this paper, a description of the sensors, the network, and the data evaluation is given. The sensors are based on conventional microphone techniques, where the pressure difference between the ambient air and an internal reservoir is measured. The latter is connected with the former by an adjustable needle valve. Pressure fluctuations are resolved with an amplitude resolution of 3 µb and between periods of 2 s and 30 min. Sensors are calibrated by lifting over a given height. Time constants are determined with a pressure-pulse technique and are on the order of 300 s. Data are sampled at 1 Hz and are transmitted on-line to a central data processing unit. Each sensor is installed at the bottom of a 1.50-m-high container, which is mounted flush with the ground. The sensor is thermally insulated and protected such that the air exchange between the sensor and the atmosphere is kept to a minimum. The average sensor separation is 1 km. A wavelet technique is applied to the data from each sensor to isolate the gravity wave events from background fluctuations. It is a general finding that gravity waves are found in wave packets with a maximum of four to five wavelengths only. Wave events are clearly recognizable by their sinusoidal shape. Furthermore, frontal passages, positive and negative solitary waves, and turbulent wind situations can be identified from the pressure signals. Most of the time, background signals are characterized by well-correlated pressure fluctuations of several-microbar amplitude. However, they have irregular shape probably due to the existence of drifting density inhomogeneities.

Abstract

In 1992, a surface-based, mesoscale microbarograph array with four pressure sensors was installed near the Hohenpeißenberg, southern Germany, and has since been in continuous operation. In this paper, a description of the sensors, the network, and the data evaluation is given. The sensors are based on conventional microphone techniques, where the pressure difference between the ambient air and an internal reservoir is measured. The latter is connected with the former by an adjustable needle valve. Pressure fluctuations are resolved with an amplitude resolution of 3 µb and between periods of 2 s and 30 min. Sensors are calibrated by lifting over a given height. Time constants are determined with a pressure-pulse technique and are on the order of 300 s. Data are sampled at 1 Hz and are transmitted on-line to a central data processing unit. Each sensor is installed at the bottom of a 1.50-m-high container, which is mounted flush with the ground. The sensor is thermally insulated and protected such that the air exchange between the sensor and the atmosphere is kept to a minimum. The average sensor separation is 1 km. A wavelet technique is applied to the data from each sensor to isolate the gravity wave events from background fluctuations. It is a general finding that gravity waves are found in wave packets with a maximum of four to five wavelengths only. Wave events are clearly recognizable by their sinusoidal shape. Furthermore, frontal passages, positive and negative solitary waves, and turbulent wind situations can be identified from the pressure signals. Most of the time, background signals are characterized by well-correlated pressure fluctuations of several-microbar amplitude. However, they have irregular shape probably due to the existence of drifting density inhomogeneities.

Save