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Measurements of water vapor, aerosol, contrails, and cirrus clouds at the Meteorological Observatory Lindenberg

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Franz Immler, David Kaiser, Otto Schrems

Alfred-Wegener-Institut für Polar- und Meeresforschung, Bremerhaven

fimmler@awi-bremerhaven.de

Dirk Engelbart

Deutscher Wetterdienst, Meteorologisches Observatorium Lindenberg, dirk.engelbart@dwd.de

Measurements of water vapor, aerosol, contrails, and cirrus clouds at the Meteorological Observatory Lindenberg

Introduction

From April to October 2003 measurements have been performed with a mobile Aerosol Raman Lidar (MARL) at the Meteorological Observatory in Lindenberg (MOL, 14.5

°

E, 52.5

°

N). The aim of this extensive campaign was the investigation of tropospheric water vapor, cirrus clouds and contrails over a longer period of time.

Meteorological Observatory Lindenberg: MARL@MOL Instrumentation

Data of clouds and aerosol measured by Marl in Lindenberg on August, 8th2003. The upper pictures show cirrus cloud and contrails photographed by the cloud camera. The clouds are identified in the lidar data. Thus, the height and optical properties like the optical depth, the color index and the depolarization can be determined. Based on the closest radiosonde data, the relative humidity at which the clouds occur can be estimated.

Comparison of lidar (black) and radiosonde (blue) measurements of water vapor (in terms of the relative humidity).

The sonde was started at 22:45 of June 17 2003 and reached 10 km about half an hour later. The graph at the right hand side shows the backscatter ratio profile determined by the lidar at the same time (22:53 - 23:05, 20,000 shots).

Up to the thin cirrus cloud in 8.5 km altitude the measurements by the radiosonde and lidar agree very well.

The color plot below shows the relative humidity above water obtained from Lidar data of May, 31th to June, 1st 2003.

In the graph from August 8thshown below, haze layers can be seen in the altitude range between 2.5 and 8 km.

These are remnants from forest fire plumes from Portugal, where heavy forest fires occurred around August 5th.

Total sky images:

. The TSI continuously monitors the complete sky (1 picture per minute)

and measures the cloudiness.

contrail

Summary :

During the MARL@MOL campaign 700 hours of Lidar data have been acquired, accompanied by cloud camera observations.

In about 50% of that time thin or subvisual cirrus clouds have been detected.

Numerous contrails have been identified.

A detailed analysis of the differences of the optical and micro- physical properties of the particles in these types of clouds is currently being conducted. Preliminary results suggest, that the optical properties, namely the depolarization is different in natural cirrus and those influenced by aircraft exhausts.

Aerosol in the free troposphere is unusually abundant. Some events can be traced back to forest fires, others to Saharan dust outbreaks.

The comparison between water vapor profile measurements between lidar and radiosondes (Vaisala, RS-80A) yields very good agreement in the range between 0.5 and 8 km and outside of clouds.

Instruments in operation during the campaign

Radiosondes:

Profiles of relative humidity up to the tropopause

Type: Vaisala RS80A with special ground check

Raman Lidar:

Aerosol and cloud backscatter profiles

Depolarization and color indices of clouds and aerosol

Water vapor profiles from 0.5 to 10 km Cloud Camera:

Characterization of cirrus and identification of

condensation trails.

Total sky imager:

Cloudiness

Type: Yankee TSI 800

Observations

Water Vapor Comparisons Lidar - Radiosonde

thin cirrus cloud

Aerosols

The plot below shows the backscatter ratio at 532 nm from Lidar data of May 31stto June 1st2003 with a high aerosol load up to 4 km. The regions where the rel.humidity (above water) exceeds 100% in the plot above correspond to regions with very high backscatter ratios (>10) in the panel below which are indicating cloud formation.

68. Physikertagung und AMOP-Frühjahrstagung, München, 22-24 April 2004: Umweltphysik Poster UP 11.2

Cirrus and contrails

Ci flo

Ci fib subvisual ci

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