2011
DOI: 10.1002/qj.697
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The water vapour intercomparison effort in the framework of the Convective and Orographically‐induced Precipitation Study: airborne‐to‐ground‐based and airborne‐to‐airborne lidar systems

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Cited by 75 publications
(75 citation statements)
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References 47 publications
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“…The linear regression line, bias, RMSE and correlation coefficient are given for water vapour. This figure is available in colour online at wileyonlinelibrary.com/journal/qj compared with the latter (Bhawar et al, 2011). The rootmean-square error (RMSE) is between 1.43 and 2.25 g kg −1 .…”
Section: Quantitative Evaluation Of Dustmentioning
confidence: 98%
“…The linear regression line, bias, RMSE and correlation coefficient are given for water vapour. This figure is available in colour online at wileyonlinelibrary.com/journal/qj compared with the latter (Bhawar et al, 2011). The rootmean-square error (RMSE) is between 1.43 and 2.25 g kg −1 .…”
Section: Quantitative Evaluation Of Dustmentioning
confidence: 98%
“…Frequent overpasses are necessary to identify potential instrumental biases with good accuracy, as the data from the remote-sensing instruments are averaged in space and time and different air masses are sampled during these airborne/ground-based intercomparisons. Results are presented in Bhawar et al (2011).…”
Section: Data Archive Quality Control and Key Data Setsmentioning
confidence: 99%
“…The vertical resolution of the data is 300 m and the temporal resolution is 5 s which corresponds to a horizontal distance of just 875 m between independent profiles. Detailed intercomparisons of the measurements of the different lidar systems during aircraft overpasses were performed by Bhawar et al (2011) with the COPS dataset, similar to those done by Behrendt et al (2007aBehrendt et al ( , 2007b for IHOP 2002. They found that the water-vapour measurements of LEANDRE II, UHOH DIAL and BASIL agree very well.…”
Section: Soundings With Lidar Aircraft and Radiosondesmentioning
confidence: 99%
“…Crook, 1996;Weckwerth, 2000;Fabry, 2006). Especially, the suite of ground-based and airborne watervapour lidars employed during COPS is an excellent tool for this purpose because the data show both high temporal and spatial resolution and high accuracy (Bhawar et al, 2011). In order to study the relation of different observations with each other, composite images of several datasets were made.…”
Section: Introductionmentioning
confidence: 99%