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Summertime (June–August 2015) radiative and turbulent heat fluxes were measured concurrently at two sites (urban and suburban) in Beijing. The urban site has slightly lower incoming and outgoing shortwave radiation, lower atmospheric transmissivity and a lower surface albedo than the suburban site. Both sites receive similar incoming longwave radiation. Although the suburban site had larger daytime outgoing longwave radiation (L↑), differences in the daily mean L↑ values are small, as the urban site has higher nocturnal L↑. Overall, both the midday and daily mean net all‐wave radiation (Q*) for the two sites are nearly equal. However, there are significant differences between the sites in the surface energy partitioning. The urban site has smaller turbulent sensible heat (Q H) (21–25% of Q* [midday–daily]) and latent heat (Q E) fluxes (21–45% of Q*). Whereas, the suburban proportions of Q* are Q H 32–32% and Q E 39–66%. The daily (midday) mean Bowen ratio (Q H/Q E) was 0.56 and 0.49 (0.98 and 0.83) for the urban and suburban sites, respectively. These values are low compared with other urban and suburban areas with similar or larger fractions of vegetated cover. Likely, these are caused by the widespread external water use for road cleaning/wetting, greenbelts, and air conditioners. Our suburban site has quite different land cover to most previous suburban studies as crop irrigation supplements rainfall. These results are important in enhancing our understanding of surface–atmosphere energy exchanges in Chinese cities and can aid the development and evaluation of urban climate models and inform urban planning strategies in the context of rapid global urbanization and climate change.

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di saBatino, JunXia dou, daniel r. dreW, John M. edWards, JoaChiM fallMann, krzysztof fortuniak, JeMMa gornall, toBias groneMeier, Christos h. halios, denise hertWig, kohin hirano, alBert a. M. holtslag, zhiWen luo, gerald Mills, Makoto nakayoshi, kathy Pain, k. heinke sChlünzen, stefan sMith, lionel soulhaC, gert-Jan steeneveld, ting sun, natalie e theeuWes, david thoMson, JaMes a. voogt, helen C. Ward, zheng-tong Xie, and Jian zhong W ith the majority of people experiencing weather in urban areas, it is critical to understand cities, weather, and climate impacts. Increasing climate extremes (e.g., heat stress, air pollution, flash flooding) combined with the density of people means it is essential that city infrastructure and operations can withstand high-impact weather. Thus, there is a huge opportunity to mitigate climate change effects and provide healthier environments through design and planning to reduce the background climate and urban effects. However, our understanding of the underlying urban atmospheric processes are primarily derived from studies of separate aspects, rather than the complete, human-environment system. Air quality modeling has not been widely integrated with aerosol feedbacks on local climate, while few city-greening scenarios have tested the impacts on boundary layer pollutant dispersion or the carbon cycle. Building design guidelines have been developed without incorporating the impact of waste heat on local temperatures, which, in turn, determines building performance. Integration of such feedbacks is imperative as they define, rather than just modify, urban climate.There is an urgent need to link processes that people experience at street level (human scale) to processes at neighborhood, city, and regional scales. As these scales have traditionally been the focus for specialists in different fields, few observation and model systems cross these scales. However, understanding the interactions between these scales is critical for the design of future parametrizations ES261OCTOBER 2017 AMERICAN METEOROLOGICAL SOCIETY | and observation networks. Although models and observational methods are emerging that permit research into scale interactions [e.g., high-resolution numerical weather prediction (NWP), large-domain computational fluid dynamic (CFD) models, remote sensing, extensive sensor networks, vertical remote sensing], an integrated approach across methodologies is currently lacking.To tackle these scale interactions requires diverse skills from a wide range of research communities. This is a daunting challenge. However, improved understanding of urban atmospheric processes such as clouds and precipitation, heat transfer, and convection would enable improvements in urban system models to provide seamless hazard prediction at all time scales. Hence, an initial focus on the meteorological aspects of the research challenge may be a more manageable problem, even though the scope is still large. As such, it was identified that within the United Kingdom there is an urgent need to devel...

34Urbanization modifies atmospheric energy and moisture balances, forming distinct 35 features, e.g., urban heat islands (UHIs) and enhanced or decreased precipitation. 36These produce significant challenges to science and society, including rapid and incudes complex topography with mountains, plains, and coastal areas (Fig. 1a), and 261 seven of the 10 most polluted Chinese cities, with 40% of days during 2013 (mostly in 262 winter) having "very hazardous" air quality (CMEP 2014 adaptation, air quality, planning, and emergency-response management. 298The critical science needed to achieve these goals was identified as increased WUQ), and one rural (SDZ) tower (all PBL observational sites are shown in Fig. 1). 335Other operational PBL sensors ( conditions. Photos of a selection of these instruments and sites are shown in Fig. 2. flown over pre-approved flight paths (Fig. 1) at altitudes from 600 to 3 600 m (at 300 357 m intervals). The aircraft is equipped with atmospheric gas and aerosol instrumenta- Additional observation data (e.g., weather radar, aircraft, and lightning) will be added. BTH area centered on Beijing (a somewhat larger area than in Fig. 1a). 439Additional details on all of these steps are provided by Zhang et al. (2017a (Fig. 1) were used to show that the dominant linear relationship between * and also 494 exists over urban canopies. The strong wind shear from the rough urban surfaces produces 495 turbulence in near neutral urban stability conditions, shown by Bornstein 1968 to exist over 496 NYC, as stable boundary layers over urban canopies are thus hard to maintain. The role of 497 surface roughness on turbulent mixing is also reflected in the increasing slope (Fig. 4) Table 4a shows the average midday (1000-1400 LST) radiative and energy fluxes 515Although MIY has higher outgoing longwave radiation, the net all-wave radiations 516 are nearly equal. Significant differences existed, however, in the surface energy 517 partitions, as IAP has smaller turbulent sensible and latent heat fluxes, and thus a 518 larger (estimated) residual heat storage. Another contributing factor to urban heat 519 storage is its anthropogenic heat flux source (discussed below). 520Daily mean Bowen ratios (ratio of turbulent sensible to latent-heat flux; Table 4b Normalized relative backscatter (NRB) data from two MPL lidar (in a vertical to 545 zenith scan mode) were also used to concurrently estimate midday PBL heights on 11 546August 2015 from 1250-1402 LST, both alone a mobile route (Fig. 1b) and at a fixed 547 site (adjacent to the urban IAP tower). As MPL instruments cannot be absolutely Beijing and fluxes from the 140-m level of the IAP tower (Fig. 1b). The modeling 574 period was 4-11 July 2015, which included dry (6 th -11 th ) and wet (4 th -5 th ) days. 575Results show major improvement for daytime "total" sensible plus latent heat flux 576 values ( Fig. 7a and b), although the timing of its peak was about 2 h too late. The 577 increased latent heat flux during the EC simulation (ac...

Graphical AbstractSchematic diagram of the study design (2 weeks dietary intervention, single arm intervention).