Bibliography
Paris 2024 Olympics RDP scientific production:
Cited or useful bibliography:
- Amorim JH, Asker C, Belusic D, Carvalho AC, Engardt M, Gidhagen L, Hundecha Y, Körnich H, Lind P, Olsson E, Olsson J, Segersson D, Strömbäck L, Joe P, Baklanov A, 2018. Integrated Urban Services for European cities: the Stockholm case. WMO Bulletin - The journal of the World Meteorological Organization 67(2), 33–40. Geneva, Switzerland. ISSN 0042-9767 (https://library.wmo.int/doc_num.php?explnum_id=5439)
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Carvalho A.C., Engardt Magnuz, Belusic D., Lind P., Robertson L., Amorim J.H., Strömbäck L., Asker C., Willers S.M. and Gidhagen L., 2018. Climate change services at the urban scale: Targeting the air quality over Amsterdam/Rotterdam. EMS Annual Meeting Abstracts. Vol. 15, EMS2018-304, 2018 (https://meetingorganizer.copernicus.org/EMS2018/EMS2018-304.pdf)
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Bélair S., S. Leroyer, N. Seino, L. Spacek, V. Souvanlasy, D. Paquin-Ricard, 2018: Role and Impact of the Urban Environment in a Numerical Forecast of an Intense Summertime Precipitation Event over Tokyo, Journal of the Meteorological Society of Japan. Ser. II, Volume 96A, Pages 77-94
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Duan Y. H., J. A. Gong, J. Du, M. Charron, J. Chen, G. Deng, G. DiMego, M. Hara, M. Kunii, X. A. Li, Y. Li, K. Saito, H. R. Seko, Y. Wang, and C. S. Wittmann, 2012: An Overview of the Beijing 2008 Olympics Research and Development Project (B08RDP), BAMS, 381-403.
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Grimmond et al 2018, Guide for Urban Integrated Hydro-Meteorological, Climate and Environmental Services, WMO (http://www.wmo.int/pages/prog/arep/gaw/documents/UrbanIntegratedServicesPart1aConceptandMethodologyEC-70.pdf)
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Joe P, B. Scott, C. Doyle, G. Isaac, I. Gultepe, D. Forsyth, S. Cober, E. Campos, I. Heckman, N. Donaldson, D. Hudak, R. Rasmussen, P. Kucera, R. Stewart, J. M. Thériault, T. Fisico, K. L. Rasmussen, H. Carmichael, A. Laplante, M. Bailey, F. Boudala, 2014: The Monitoring Network of the Vancouver 2010 Olympics, Pure Appl. Geophys, 171, 25-58.
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Joe, P., S. Belair, N. Bernier, V. Bouchet, J.R. Brook, D. Brunet, W. Burrows, J. Charland, A. Dehghan, N. Driedger, C. Duhaime, G. Evans, A. Filion, R. Frenette, J. de Grandpré, I. Gultepe, D. Henderson, A. Herdt, N. Hilker, L. Huang, E. Hung, G. Isaac, C. Jeong, D. Johnston, J. Klaassen, S. Leroyer, H. Lin, M. MacDonald, J. MacPhee, Z. Mariani, T. Munoz, J. Reid, A. Robichaud, Y. Rochon, K. Shairsingh, D. Sills, L. Spacek, C. Stroud, Y. Su, N. Taylor, J. Vanos, J. Voogt, J.M. Wang, T. Wiechers, S. Wren, H. Yang, and T. Yip, 2018: The Environment Canada Pan and Parapan American Science Showcase Project. Bull. Amer. Meteor. Soc., 99, 921–953 (https://doi.org/10.1175/BAMS-D-16-0162.1)
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Kiktev, D., P. Joe, G.A. Isaac, A. Montani, I. Frogner, P. Nurmi, B. Bica, J. Milbrandt, M. Tsyrulnikov, E. Astakhova, A. Bundel, S. Bélair, M. Pyle, A. Muravyev, G. Rivin, I. Rozinkina, T. Paccagnella, Y. Wang, J. Reid, T. Nipen, and K. Ahn, 2017: FROST-2014: The Sochi Winter Olympics International Project. Bull. Amer. Meteor. Soc., 98, 1908–1929
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Lemonsu, A., S. Bastin, V. Masson, and P. Drobinski, 2006 : Vertical Structure of the Urban boundary layer over Marseille under sea breeze condition. Boundary-Layer Meteorol., 118, 477-501.
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Lemonsu, A., V. Masson, G. Pigeon, and C. Moppert, 2006 : Sea-Town Interactions over Marseille : 3d Urban Boundary Layer and thermodynamical fields near the Surface. Theoretical and Appl. Climatology, 84, 171-178.
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Marécal, V., Peuch, V.-H., Andersson, C., Andersson, S., Arteta, J., Beekmann, M., Benedictow, A., Bergström, R., Bessagnet, B., Cansado, A., Chéroux, F., Colette, A., Coman, A., Curier, R. L., Denier van der Gon, H. A. C., Drouin, A., Elbern, H., Emili, E., Engelen, R. J., Eskes, H. J., Foret, G., Friese, E., Gauss, M., Giannaros, C., Guth, J., Joly, M., Jaumouillé, E., Josse, B., Kadygrov, N., Kaiser, J. W., Krajsek, K., Kuenen, J., Kumar, U., Liora, N., Lopez, E., Malherbe, L., Martinez, I., Melas, D., Meleux, F., Menut, L., Moinat, P., Morales, T., Parmentier, J., Piacentini, A., Plu, M., Poupkou, A., Queguiner, S., Robertson, L., Rouïl, L., Schaap, M., Segers, A., Sofiev, M., Thomas, M., Timmermans, R., Valdebenito, A., Van Velthoven, P., Van Versendaal, R., Vira J. and Ung A., 2015. A regional air quality forecasting system over Europe: the MACC-II daily ensemble production, Geosci. Model Dev., 8, 2777-2813, doi: 10.5194/gmd-8-2777-2015, 2015.
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May, P., and Coauthors, 2004: The Sydney 2000 Olympic Games Forecast Demonstration Project: Forecasting, observing network infrastructure, and data processing issues. Wea. Forecasting, 19, 115–130.
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Napoly, A., T. Gassmann, F. Meier et D. Fenner, 2018 : Development and application of a statistically-based quality control for crowdsourced air temperature data. Frontiers in Earth Science, 6 (118), 1-16.
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Pereira Filho A. J., F. Vemado, K. Saito, H. Seko, J. L. Flores Rojas, H. A. Karam 2018: ARPS Simulations of Convection during TOMACS, Journal of the Meteorological Society of Japan. Ser. II, Volume 96A, Pages 247-263
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Robertson, L. and Persson, C. 1993. Attempts to apply four dimensional data assimilation of radiological data using the adjoint technique. Radiation Protection Dosimetry 50, 333 - 337.
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Robertson, L.; Langner, J. and Engardt M., 1999. An Eulerian Limited-Area Atmospheric Transport Model. Journal of Appllyed Meteorology, Volume 38, pp: 190 –210.
About hectometric modelling:
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Bélair, S., S. Leroyer, N. Seino, L. Spacek, V. Souvanlassy, and D. Paquin-Ricard, 2018: Role and impact of the urban environment in a numerical forecast of an intense summertime precipitation event over Tokyo. J. Meteor. Soc. Japan, 96A, 77–94, (https://doi.org/10.2151/jmsj.2018-011)
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Boutle, I. A., Eyre, J. E. J., & Lock, A. P. (2014). Seamless Stratocumulus Simulation across the Turbulent Gray Zone. Monthly Weather Review, 142(4), 1655–1668. (https://doi.org/10.1175/MWR-D-13-00229.1)
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Boutle, I.A., Finnenkoetter, A., Lock, A.P. and Wells, H. (2016) The London model: forecasting fog at 333 m resolution. Quarterly Journal of the Royal Meteorological Society, 142(694), 360–371. (https://doi.org/10.1002/qj.2656)
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Ducongé L., C. Lac, B. Vié, T. Bergot, J. D. Price, 2020, Fog in heterogeneous environments: the relative importance of local and non-local processes on radiative-advective fog formation. Q J R Meteorol Soc. 146:2522–2546. DOI: 10.1002/qj.3783
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Hanley, K. E., Plant, R. S., Stein, T. H. M., Hogan, R. J., Nicol, J. C., Lean, H. W., … Clark, P. A. (2015). Mixing-length controls on high-resolution simulations of convective storms. Quarterly Journal of the Royal Meteorological Society, 141(686). (https://doi.org/10.1002/qj.2356)
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Hanley, K.E., Barrett, A.I. and Lean, H.W. (2016) Simulating the 20 May 2013 Moore, Oklahoma tornado with a 100-metre grid-length NWP model. Atmospheric Science Letters, 17(8), 453–461. (https://doi.org/10.1002/asl.678)
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Harvey, B., Methven, J., Eagle, C., & Lean, H. (2017). Does the Representation of Flow Structure and Turbulence at a Cold Front Converge on Multiscale Observations with Model Resolution? Monthly Weather Review, 145(11), 4345–4363. (https://doi.org/10.1175/mwr-d-16-0479.1)
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Honnert R., V. Masson, C. Lac and T. Nagel (2020): A Mixing Length for atmospheric models from micro to large scales, Frontiers in Earth Science, in press, doi:10.3389/feart.2020.582056 .
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Jucker M., T. P. Lane, C. L. Vincent, S.Webster, S. A.Wales, V. Louf, 2020, Locally forced convection in subkilometre-scale simulations with the Unified Model and WRF, Q J R Meteorol Soc. 146:3450–3465. DOI: 10.1002/qj.3855
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Lean Humphrey, Janet F. Barlow, Christos H. Halios, 2019, The impact of spin-up and resolution on the representation of a clear convective boundary layer over London in order 100m grid-length versions of the Met Office Unified Model. Q J R Meteorol Soc. 145:1674–1689. DOI: 10.1002/qj.3519
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Leroyer, S., S. Bélair, J. Mailhot, and I. B. Strachan, 2011: Microscale numerical prediction over Montreal with the Canadian external urban modeling system. J. Appl. Meteor. Climatol., 50, 2410-2428.
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Leroyer, S., S. Bélair, S. Z. Husain, and J. Mailhot, 2014: Subkilometer numerical weather prediction in an urban coastal area: A case study over the Vancouver metropolitan area. J. Appl. Meteor. Climatol., 53, 1433-1453.
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Markowski P. M., 2020, What is the Intrinsic Predictability of Tornadic Supercell Thunderstorms? Mon Wea Rev, 148, 3157- 3180. DOI: 10.1175/MWR-D-20-0076.1
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Muñoz-Esparza, D., Kosovi´c, B., Mirocha, J. and van Beeck, J. (2014) Bridging the transition from mesoscale to microscale turbulence in numerical weather prediction models. Boundary-Layer Meteorology, 153(3), 409–440. (https://doi.org/10.1007/s10546-014-9956-9)
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Nicol, J. C., Hogan, R. J., Stein, T. H. M., Hanley, K. E., Clark, P. A., Halliwell, C. E., … Plant, R. S. (2015). Convective updraught evaluation in high-resolution NWP simulations using single-Doppler radar measurements. Quarterly Journal of the Royal Meteorological Society, 141(693). (https://doi.org/10.1002/qj.2602)
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Nicol, J.C., Hogan, R.J., Stein, T.H.M., Hanley, K.E., Clark, P.A., Halliwell, C.E., Lean, H.W. and Plant, R.S. (2015) Convective updraught evaluation in high-resolution NWP simulations using single-Doppler radar measurements. Quarterly Journal of the Royal Meteorological Society, 141(693), 3177–3189. (https://doi.org/10.1002/qj.2602)
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Price J. D., S. Lane, I. A. Boutle, D. K. E. Smith, T. Bergot, C. Lac, L. Duconge, J. McGregor, A. Kerr-Munslow, M. Pickering, R. Clark, 2018, LANFEX: A Field and Modeling Study to Improve Our Understanding and Forecasting of Radiation Fog. BAMS, 2018, pp2061-2077. DOI:10.1175/BAMS-D-16-0299.1
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Rai K. Raj, L. K. Berg, B. Kosovic, S. E. Haupt, J. D. Mirocha, B. L. Ennis, C. Draxl, 2019, Evaluation of the Impact of Horizontal Grid Spacing in Terra Incognita on Coupled Mesoscale–Microscale Simulations Using the WRF Framework, Mon Wea Rev, 147 , 1007-1027
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Ronda, R.J., Steeneveld, G.J., Heusinkveld, B.G., Attema, J.J. and Holtslag, A.A.M. (2017) Urban finescale forecasting reveals weather conditions with unprecedented detail. Bulletin of the AmericanMeteorological Society, 98(12), 2675–2688. (https://doi.org/10.1175/BAMS-D-16-0297.1)
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Schoetter, R., J. Hidalgo, R. Jougla, V. Masson, M. Goret, M. Rega, and J. Pergaud: A statistical-dynamical downscaling for the urban heat island and building energy consumption. Analysis of its uncertainties. Journal of Applied Meteorology and Climatology, 59, 859–883, 10.1175/JAMC-D-19-0182.1
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Schoetter, Y.-T. Kwok, C. de Munck, K. K. L. Lau, W. K. Wong, an V. Masson, 2020: Multi-layer coupling between SURFEX-TEB-V9.0 and Meso-NH-V5.3 for modelling the urban climate of high-rise cities, Geoscientific Model Development, in press, doi:10.5194/gmd-2020-190
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Stein, T.H.M., Hogan, R.J., Clark, P.A., Halliwell, C.E., Hanley, K.E., Lean, H.W., Nicol, J.C. and Plant, R.S. (2015) The DYMECS project: a statistical approach for the evaluation of convective storms in high-resolution NWP models. Bulletin of the American Meteorological Society, 96(6), 939–951. (https://doi.org/10.1175/BAMS-D-13-00279.1)
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Stein, T.H.M., Hogan, R.J., Hanley, K.E., Nicol, J.C., Lean, H.W., Plant, R.S., Clark, P.A. and Halliwell, C.E. (2014) The three-dimensional morphology of simulated and observed convective storms over southern England. Monthly Weather Review, 142(9), 3264–3283. (https://doi.org/10.1175/MWR-D-13-00372.1)
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Tang S. L., D. J. Kirshbaum, 2020, On the sensitivity of deep-convection initiation to horizontal grid resolution. Q J R Meteorol Soc. 146:1085–1105. DOI: 10.1002/qj.3726
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Thorwald H. M. Stein, Robert W. Scovell, Kirsty E. Hanley, Humphrey W. Lean, Nicola H. Marsden, 2020, The potential use of operational radar network data to evaluate the representation of convective storms in NWP models. Q J R Meteorol Soc. 146:2315–2331. DOI: 10.1002/qj.3793
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Vosper, S., Carter, E., Lean, H.W., Lock, A.P., Clark, P. and Webster, S. (2013) High resolution modelling of valley cold pools. Atmospheric Science Letters, 14(3), 193–199. (https://doi.org/10.1002/asl2.439)