 | Kenntner M. Using MTP measurements to characterise atmospheric gravity waves in the tropopause region: doctoral thesis / Deutsches Zentrum für Luft- und Raumfahrt, Institut für Physik der Atmosphäre, Oberpfaffenhofen. – Köln: DLR, 2018. - vi, 144 p.: ill., tab. - (Forschungsbericht; 2018-07). - Res. also Germ. - Bibliogr.: p.131-141.
- ISSN 1434-8454
Шифр: (Pr 1120/2018-7) 02
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1 Introduction ............................................... 1
2 Properties of atmospheric gravity waves .................... 5
2.1 Sources, scales and interaction with the atmosphere ........ 5
2.2 Atmospheric gravity wave characteristics in linear theory .. 7
3 Experimental approach to measuring gravity waves: MTP ..... 13
3.1 Radiometry ................................................ 14
3.2 The Microwave Temperature Profiler: Instrument
description ............................................... 18
3.3 DLR-MTP campaign deployments .............................. 21
3.3.1 ML CIRRUS 2014 ..................................... 21
3.3.2 ACRIDICON 2014 ..................................... 21
3.4 MTP data products ......................................... 22
3.4.1 Previous studies involving MTP data products ....... 23
3.4.2 New approach to MTP data usage ..................... 25
4 Temperature profile retrieval ............................. 27
4.1 Raw Data preparation for Retrieval ........................ 27
4.2 Brightness temperature calculations ....................... 28
4.2.1 Instrument characteristics ......................... 29
4.2.2 Description of calibration methods and MTP
calibration parameters ............................. 34
4.2.3 Error estimation ................................... 44
4.2.4 Discussion ......................................... 48
4.3 Retrieval performances .................................... 49
4.3.1 Performance of JPL retrieval ....................... 52
4.3.2 Performance of the TIRAMISU algorithm .............. 56
4.4 MTP range of sensitivity .................................. 57
5 Altitude-resolved characterisation of waves ............... 66
5.1 Wave characterisation using aircraft mission data ......... 66
5.1.1 Wave characterisation from MTP data ................ 67
5.1.2 Aircraft measurement system data ................... 72
5.1.3 Comparison of methods .............................. 74
5.2 Sensitivity study: Analysis of simulated data ............. 76
5.2.1 Analysis of synthetic temperature data ............. 77
5.2.2 Analysis of processed temperature fields ........... 80
5.3 Case study: DEEPWAVE campaign data ........................ 87
5.3.1 The DEEPWAVE campaign 2014 ......................... 88
5.3.2 RF16 - July 4th, 2014 .............................. 90
5.3.3 RF12 - June 29th, 2014 ............................. 98
5.4 Discussion ............................................... 104
6 Summary .................................................. 106
A Appendix ................................................. 111
A.l Retrieval methods ........................................ 111
A.1.1 Statistical retrieval ............................. 111
A.1.2 Inversion of the forward problem .................. 114
A.2 Wavelet analysis ......................................... 118
A.3 DEEPWAVE model runs ...................................... 122
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