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1 COPS Workshop 2008 University of Hohenheim, Stuttgart; 27 to 29 February 2008 IMGI‘s contribution to the COPS 2007 field experiment Simon Hölzl & Alexander.

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Presentation on theme: "1 COPS Workshop 2008 University of Hohenheim, Stuttgart; 27 to 29 February 2008 IMGI‘s contribution to the COPS 2007 field experiment Simon Hölzl & Alexander."— Presentation transcript:

1 1 COPS Workshop 2008 University of Hohenheim, Stuttgart; 27 to 29 February 2008 IMGI‘s contribution to the COPS 2007 field experiment Simon Hölzl & Alexander Gohm Institute of Meteorology and Geophysics (IMGI) Innsbruck, Austria

2 2 Introduction ■Description of IMGI station network ■State of data preparation ■Data availability ■GOP overview ■Case study: 4 July 2007 ■Conclusion Introduction

3 3 Description of IMGI station network Description of IMGI station network - Overview  10 Automatic weather stations (MOMAA)  6 Tipping bucket rain gauges (DAVIS)  2 Laser disdrometers (THIES)  1 Weighing rain gauge (OTT PLUVIO) Hornisgrinde Murg Valley Enz Valley

4 4 Description of IMGI station network - Measured parameters Measured parameters ■MOMAA AWS ■time resolution: 1 min ■Air temperature ■Soil temperature ■Relative humidity ■Wind speed and wind direction ■Net radiation ■Pressure ■precipitation rate (0.1 mm resolution) ■DAVIS tipping bucket rain gauge ■time resolution: 10 min ■precipitation rate (0.2 mm resolution)

5 5 Description of IMGI station network - Measured parameters Measured parameters ■OTT PLUVIO weighing rain gauge ■time resolution: 1 min ■accumulated precipitation ■precipitation rate ■THIES laser disdrometer ■time resolution: 1 min ■precipitation rate [mm/h] ■accumulated precipitation ■SYNOP/METAR encoding ■visibility ■radar reflectivity ■preciptitation particle size distribution

6 6 Data preparation ■Formatting of raw data ■Creating data sets of equal length and format ■Filling up gaps ■Quality control ■checking data for outliers and biases ■flagging of missing or questionable data ■Calibration – Bias removal bad data

7 7 Data availability MOMAA:93 % DAVIS:78 % THIES:79 % OTT:76 %

8 8 GOP overview – Daily accumulated precipitation Daily accumulated precipitation sensor failure moist period

9 9 GOP overview – Accumulated precipitation for whole SOP Accumulated precipitation for whole SOP THIESMOMAA THIESMOMAAOTT ~ 69 % more precipitation Enz Valley Murg Valley Hornisgrinde

10 10 Case study – 4 July 2007 THIESMOMAA THIESOTT convective events ~ 108 % more precipitation Enz Valley Murg Valley Hornisgrinde

11 11 Conclusion ■IMGI deployed 10 AWS equipped with tipping bucket rain gauges, 6 tipping bucket rain gauges, 2 laser disdrometers and 1 weighing rain gauge during the COPS 2007 field experiment ■The data set is nearly continuous (> 90 % for MOMAA precipitation data) and has a high spatial and temporal resolution (~ 5 x 5 km, 1 – 10 min) ■Possible applications of the IMGI data set: ■Instrument intercomparison study ■Validation of radar-derived rain rates ■Investigation of small scale precipitation variability ■Verification of numerical models

12 12 Thank you for your attention!


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