Michael Rennie

Research Department, Earth System Assimilation Section, Actively Sensed Observations Group

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Michael Rennie is working on the European Space Agency's Aeolus Doppler Wind Lidar project. His current research topics include: developing the Aeolus Level-2B processor; preparing the operational Level-2B/C processing system and preparations for the data assimilation of Aeolus L2B line-of-sight winds, including monitoring tools for use in the mission's CAL/VAL and beyond.

Professional interests: 
  • Data assimilation with a focus on the use of wind and GPS radio occultation observations
  • Developing Satellite mission Ground Segment processing software and processing facilities
  • Developing monitoring software for meteorological observations
Career background: 

2011-present: Scientist at ECMWF working on the Aeolus Doppler Wind Lidar project

2005-2010: Scientist at UK Met Office working on the assimilation of GPS radio occultation

2001-2005: Studied for an MSci MA, Natural Sciences Tripos (physics), University of Cambridge


Peer reviewed papers:

Illingworth A, Battaglia A, Bradford J, Forsythe M, Joe P, Kollias P, Lean K, Lori M, Mahfouf JF, Mello S, Midthassel R, Munro Y, Nicol J, Potthast R, Rennie M, Stein T, Tanelli S, Tridon F, Walden C, Wolde M, 2018, WIVERN:  A NEW SATELLITE CONCEPT TO PROVIDE GLOBAL IN-CLOUD WINDS, PRECIPITATION AND CLOUD PROPERTIES, Bulletin of the American Meteorological Society (in press)

Horányi, A., Cardinali, C., Rennie, M. and Isaksen, L. (2015), The assimilation of horizontal line-of-sight wind information into the ECMWF data assimilation and forecasting system. Part II: The impact of degraded wind observations. Q.J.R. Meteorol. Soc., 141: 1233–1243. doi:10.1002/qj.2551

Horányi, A., Cardinali, C., Rennie, M. and Isaksen, L. (2015), The assimilation of horizontal line-of-sight wind information into the ECMWF data assimilation and forecasting system. Part I: The assessment of wind impact. Q.J.R. Meteorol. Soc., 141: 1223–1232. doi:10.1002/qj.2430

Rennie MP 2010. The impact of GPS radio occultation assimilation at the Met Office. QJRMS Vol. 136 No. 646 pp. 116-131.

Buontempo C, Jupp A, Rennie MP 2008. Operational NWP assimilation of GPS radio occultation data. Atmos. Sci. Lett. 9: 129–133.

Technical reports and conference papers:

Rennie MP, 2017, An Assessment of the expected quality of Aeolus Level-2B Wind products, ILRC 28 conference paper

Rennie MP, de Kloe J, 2017, Assessment of Level-2B wind errors resulting from realistic simulation of ISR/IRC/AUX_RBC calibration chain, ESA technical note, TN17.1

Rennie MP, 2017, CCN6 results: further Chain-of-Processors testing of L2B results and testing of the CCN6 L2B processor algorithm updates, ESA technical note, TN17.4

Rennie MP, 2016, Advanced monitoring of Aeolus winds, ESA technical note, TN16

Rennie MP, 2015, Aeolus L2B-processing of A2D airborne campaign data, ESA technical note, TN8.3

Rennie MP, 2015, Prospects for wind lidar assimilation, Seminar on Use of Satellite Observations in Numerical Weather Prediction, 8-12 September 2014, Conference Paper

Rennie MP, 2014, Testing the behaviour of wind retrievals with the new E2S simulation options, ESA technical note, TN17.3

Rennie MP, Dabas A, 2014, End-to-end testing of the continuous mode L2B processor, ESA technical note, TN15.3

Horányi, A., Rennie, M., Isaksen, L., 2013, The expected NWP impact of Aeolus wind observations, ECMWF Newsletter Feature Article.

Rennie MP, de Kloe J, 2013, Aeolus observational requirements and the measurement grouping algorithm, ESA technical note, TN15.2

Rennie MP, 2013, Inventory of Aeolus Target Assimilation Systems, ESA technical note, TN15.1

Rennie MP 2010. Investigation into the consistency of radiosonde and GPSRO observations and their application in NWP at the Met Office. F R&D Technical Report No. 541. Met Office: Exeter, UK.

Rennie MP 2008. The assimilation of GPS Radio Occultation measurements at the Met Office. Proc. GRAS SAF Workshop on Applications of GPS radio occultation measurements, ECMWF, 16-18 June 2008.

Rennie MP 2008. The assimilation of GPS radio occultation data into the Met Office global model. F R&D Technical Report No. 510. Met Office: Exeter, UK.