Abstract
We analyze how remote sounding instruments can help to improve our understanding of the atmospheric boundary layer and how regional synoptic models can be used as a hindcasting tool in studying and perfecting boundary layer models. A method is suggested for estimating the quality of boundary layer reproduction in these models using remote sensing data.
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References
A. H. Murphy, “Skill scores based on the mean square error and their relationships to the correlation coefficient,” Mon. Weather. Rev. 116 (12), 2417–2424 (1988).
D. R. Stauffer and N. L. Seaman, “Use of four-dimensional data assimilation in a limited-area mesoscale model. Part I: Experiments with synoptic-scale data,” Mon. Weather. Rev. 118 (6), 1250–1277 (1990).
T. R. Oke, Boundary layer climates (Routledge, 2002).
F. Chen, H. Kusaka, M. Tewari, J. W. Bao, and H. Hirakuchi, “Utilizing the coupled WRF/LSM/Urban modeling system with detailed urban classification to simulate the urban heat island phenomena over the Greater Houston area,” in Fifth Sympos. Urban Environ. 2004, pp. 9–11.
Y. Chen, W. M. Jiang, N. Zhang, X. F. He, and R. W. Zhou, “Numerical simulation of the anthropogenic heat effect on urban boundary layer structure,” Theor. Appl. Climatol. 97 (1–2), 123–134 (2009).
S. H. Lee, S. W. Kim, W. M. Angevine, L. Bianco, S. A. McKeen, C. J. Senff, M. Trainer, S. C. Tucker, and R. J. Zamora, “Evaluation of urban surface parameterizations in the WRF model using measurements during the Texas Air Quality Study 2006 field campaign,” Atmos. Chem. Phys. 11 (5), 2127–2143 (2011).
K. Trusilova, S. Schubert, H. Wouters, B. Fruh, S. Grossman-Clarke, M. Demuzere, and P. Becker, “The urban land use in the COSMO-CLM model: A comparison of three parameterizations for Berlin,” Meteorol. Z. 25 (2), 231–244 (2016).
W. Tao, J. Liu, G. A. Ban-Weiss, D. A. Hauglustaine, L. Zhang, Q. Zhang, and S. Tao, “Effects of urban land expansion on the regional meteorology and air quality of Eastern China,” Atmos. Chem. Phys. 15, 8597–8614 (2015).
E. N. Kadygrov, I. N. Kuznetsova, and G. S. Golitsyn, “Heat island in the boundary air layer over large cities: New results from remote data,” Dokl. Akad. Nauk 385 (4), 541–548 (2002).
http://attex.net
R. D. Kuznetsov, “LATAN-3 sodar for investigation of the atmospheric boundary layer,” Atmos. Ocean. Opt. 20 (8), 684–687 (2007).
M. A. Kallistratova, I. V. Petenko, and E. A. Shurygin, “Sodar researches of the wind velocity field in the lower atmosphere,” Izv. Akad. Nauk SSSR, Fiz. Atmos. Okeana 23 (5), 451–461 (1987).
I. N. Kuznetsova, E. N. Kadygrov, E. A. Miller, and M. I. Nakhaev, “Characteristics of lowest 600 m atmospheric layer temperature on the basis of MTP-5 profiler data,” Opt. Atmos. Okeana 25 (10), 877–883 (2012).
N. L. Byzova, V. N. Ivanov, and M. K. Matskevich, “Measurement of the vortex components in the lower 300-m air layer,” Izv. Akad. Nauk, Fiz. Atmos. Okeana 32 (3), 323–328 (1996).
T. N. Palmer, “Predicting uncertainty in forecasts of weather and climate,” Rep. Prog. Phys. 63 (2), 71–116 (2000).
V.P. Yushkov, “A probabilistic description of atmospheric turbulence,” Moscow Univ. Phys. Bull. 68 (4), 330–337 (2013).
M. A. Kallistratova and R. D. Kouznetsov, “Low-level jets in the Moscow region in summer and winter observed with a sodar network,” Bound.-Lay. Meteorol. 143 (1), 159–175 (2012).
V. P. Yushkov, R. D. Kuznetsov, and M. A. Kallistratova, “Mean wind speed profiles in the ai basin of Moscow,” Rus. Meterol. Hydrol. 33 (10), 624–631 (2008).
V. P. Yushkov, “Synoptic fluctuations of wind speed in the atmospheric boundary layer,” Rus. Meterol. Hydrol. 37 (4), 226–234 (2012).
V. P. Yushkov, “Estimation of spatial inhomogeneities of thermal stratification in the boundary layer of the Moscow megalopolis from remote sensing,” Atmos. Ocean. Opt. 29 (1), 56–66 (2016).
V. P. Yushkov, “What can be measured by the temperature profiler?,” Rus. Meterol. Hydrol. 39 (12), 838–846 (2014).
V. P. Yushkov, M. A. Kallistratova, R. D. Kuznetsov, G. A. Kurbatov, and V. F. Kramar, “Experience in measuring the wind-velocity profile in an urban environment with a Doppler sodar,” Izv., Atmos. Ocean. Phys. 43 (2), 168–180 (2007).
G. I. Gorchakov, E. N. Kadygrov, V. E. Kunitsyn, V. I. Zakharov, E. G. Semutnikova, A. V. Karpov, G. A. Kurbatov, and S. I. Sitanskii, “Moscow heat island in blocking anticyclone in summer,” Dokl. Akad. Nauk 456 (5), 591–595 (2014).
A. V. Troitskii, “Remote determination of atmospheric temperature from spectral radiometric measurements in the ?=5-mm line,” Radiophys. Quantum Electron. 29 (8), 670–678 (1986).
A. S. Vyazankin, E. N. Kadygrov, N. F. Mazurin, A. V. Troitskii, and G. N. Shur, “Comparison between data of microwave radiometer and high-altitude meteorological mast during measurements of the temperature profile and structure of its inhomogeneities,” Meteorol. Gidrol. No. 3, 34–44 (2001).
S. Crewell and U. Lohnert, “Accuracy of boundary layer temperature profiles,” IEEE Trans. Geosci. Remote Sens. 45 (7), 2195–2201 (2007).
M. D. Tsyrulnikov, “Stochastic modelling of model errors: A simulation study,” Q. J. R. Meteorol. Soc. 131 (613), 3345–3371 (2005).
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Original Russian Text © V.P. Yushkov, 2017, published in Optika Atmosfery i Okeana.
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Yushkov, V.P. Remote sounding and mesoscale synoptic models in studying the urban boundary layer. Atmos Ocean Opt 30, 462–474 (2017). https://doi.org/10.1134/S1024856017050165
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DOI: https://doi.org/10.1134/S1024856017050165