Examining relationships between entrainment-driven scalar dissimilarity and surface energy balance underclosure in a semiarid valley
Introduction
Governed by the first law of thermodynamics, in the atmospheric surface layer (ASL) over horizontally homogeneous and flat (HHF) terrain the provided energy input (composed of the net radiation and ground heat flux ) should balance the energy output (composed of the sensible and latent heat fluxes). Assuming negligible contributions from terms associated with various sources and sinks, storage terms and advection terms (Cuxart et al., 2016), the energy balance ratio () over HHF terrain should be unity:Many applications assume a fully closed surface energy balance (SEB), i.e. . For instance, land-surface models simulate a fully closed SEB while the validation and calibration of these models heavily depends on the quality of measured SEB components (e.g. Williams, Richardson, Reichstein, Stoy, Peylin, Verbeeck, Carvalhais, Jung, Hollinger, Kattge, et al., 2009, Foken, Aubinet, Finnigan, Leclerc, Mauder, Paw U, 2011). To estimate evapotranspiration at the surface using satellite remote sensing, the Surface Energy Balance Algorithm for Land framework (Long and Singh, 2010) invokes SEB closure by attributing the SEB residual to the latent heat flux . However, as indicated in many experiments and review studies (e.g. Foken, 2008, Leuning, Van Gorsel, Massman, Isaac, 2012), SEB closure is seldom achieved in the daytime ASL. Specifically for the FLUXNET network, Baldocchi et al. (2001) and Wilson et al. (2002) show that the average ranges between 0.7 and 0.9. Studies have revealed a number of factors that can explain such underclosure (Foken, 2008, Leuning, Van Gorsel, Massman, Isaac, 2012). Instrumental errors and sensor deficiencies have been dismissed as crucial factors (Foken et al., 2011). Instead, studies agree that the traditional eddy covariance (EC) methodology (Swinbank, 1951), with its 30-min temporal averaging, may miss a substantial portion of the heat fluxes and . These flux portions are carried by low-frequency motions, commonly referred to as turbulent organized structures (hereafter TOS).
TOS may be classified into two distinct forms of convection organization in the CBL: cellular convection characterized by low wind speed situations, and horizontal convective rolls characterized by high wind speed situations (Atkinson, Zhang, 1996, Babić, De Wekker, 2019, hereafter B19). In low wind speed situations, the low-frequency component of ASL fluxes will be biased since either a quasi-stationary updraft or downdraft will preferentially be sampled (Sakai et al., 2001). During high-wind speed conditions, this is not the case and several studies have reported better or even complete SEB closure (Wilson, Goldstein, Falge, Aubinet, Baldocchi, Berbigier, Bernhofer, Ceulemans, Dolman, Field, et al., 2002, Kanda, Inagaki, Letzel, Raasch, Watanabe, 2004, Franssen, Stöckli, Lehner, Rotenberg, Seneviratne, 2010, Anderson, Wang, 2014). Improved SEB closure in these studies has been ascribed to pronounced mechanical mixing, quantified traditionally with the friction velocity and a larger number of eddies sampled within 30 min. TOS have also been recognized by De Bruin et al. (2005), Lamaud and Irvine (2006) and Gao, Liu, Katul, Foken, 2017, Gao, Liu, Li, Katul, Blanken, 2018 to affect SEB via entrainment of warmer and drier free tropospheric air. This is quantified with the temperature-humidity correlation coefficient:which exhibits negative values in the entrainment zone and positive values in the daytime ASL (Detto et al., 2008). Scalar dissimilarity, expressed as a departure of from unity, invalidates approaches to close SEB with traditional Bowen ratio-based methods (Twine, Kustas, Norman, Cook, Houser, Meyers, Prueger, Starks, Wesely, 2000, Asanuma, Tamagawa, Ishikawa, Ma, Hayashi, Qi, Wang, 2007), and violates Monin-Obukhov similarity theory which assumes perfect scalar similarity (Andreas, Hill, Gosz, Moore, Otto, Sarma, 1998, Van de Boer, Moene, Graf, Schüttemeyer, Simmer, 2014). However, a detailed quantification of the relationship between and does not exist. Since TOS are CBL-spanning eddies, they are capable of transporting scalar-dissimilar air from the entrainment zone down into the ASL. However, the relative contribution of the two forms of TOS in this non-local violation of near-surface scalar similarity, and ultimately, the SEB underclosure, is unknown.
With the increasing effects of climate change worldwide through aridification, processes such as desertification become increasingly pronounced and widespread (D’Odorico et al., 2013). One might argue that the feedbacks between desertification and other global change drivers (Maestre et al., 2016) are even more emphasized in mountainous regions. In mountainous regions, also affected by elevation dependent warming (Gobiet, Kotlarski, Beniston, Heinrich, Rajczak, Stoffel, 2014, Pepin, Bradley, Diaz, Baraër, Caceres, Forsythe, Fowler, Greenwood, Hashmi, Liu, et al., 2015), the climate change impacts on land-atmosphere might be even more pronounced. As a result, for reliable future climate projections over mountains, proper validation and calibration of land-surface models with measured heat fluxes is paramount (Williams et al., 2009). Because half of the FLUXNET stations are sited in complex terrain (Rotach et al., 2014), the need to better our understanding of the SEB underclosure in such environments is obvious. Examining SEB underclosure in complex terrain requires consideration of additional factors compared to HHF terrain. Over sloping terrain, the orientation (gravity-parallel versus slope-normal) of the radiation measuring system affects (Matzinger, Andretta, Gorsel, Vogt, Ohmura, Rotach, 2003, Hiller, Zeeman, Eugster, 2008, Serrano-Ortiz, Sánchez-Cañete, Olmo, Metzger, Pérez-Priego, Carrara, Alados-Arboledas, Kowalski, 2016, Georg, Albin, Georg, Katharina, Enrico, Peng, 2016). The choice of the optimal post-processing treatment of EC-derived heat fluxes is essential (Večenaj, De Wekker, 2015, Stiperski, Rotach, 2016), particularly concerning coordinate rotation. Studies conducted over hilly terrain (Serrano-Ortiz, Sánchez-Cañete, Olmo, Metzger, Pérez-Priego, Carrara, Alados-Arboledas, Kowalski, 2016, McGloin, Šigut, Havránková, Dušek, Pavelka, Sedlák, 2018) and in mountain valleys (Hammerle, Haslwanter, Schmitt, Bahn, Tappeiner, Cernusca, Wohlfahrt, 2007, Hiller, Zeeman, Eugster, 2008, Rotach, Andretta, Calanca, Weigel, Weiss, 2008, Stiperski, Rotach, 2016, Nadeau, Oldroyd, Pardyjak, Sommer, Hoch, Parlange, 2018), have concluded that the observed SEB underclosure is typically worse than the average underclosure from FLUXNET.
The goals of the present study are (1) to establish the degree to which SEB departs from closure at the valley floor and slope given a prevalent along-valley flow, (2) to determine the contribution of all possible combinations of and to scalar similarity (expressed via ) using quadrant analysis, and (3) to quantify the actual extent to which TOS-induced entrainment effects impact scalar similarity and hence SEB. To address these goals, we use data collected in the semi-arid Owens Valley (CA, USA). This particular valley is ideal for our investigations for several reasons. As pointed out by Mahrt (1991) and Lamaud and Irvine (2006), an arid environment, characterized by low rates of evapotranspiration and a Bowen ratio () exceeding unity, is subject to pronounced entrainment impacts on scalar similarity. We expect this feature to facilitate the quantification of TOS effects on . Furthermore, valley flows experience significant channeling by the neighbouring sidewalls (Zhong et al., 2008), resulting in bimodality of the along-valley flow which minimizes the degrees of freedom concerning the upwind fetch conditions. This is essential for reducing uncertainties when investigating the SEB underclosure in complex terrain.
Section snippets
Owens valley
We analyze data collected during the Terrain-Induced Rotor Experiment (T-REX, Grubišić et al., 2008) from March 1 to April 30 2006 in Owens Valley, CA (Fig. 1a). Owens Valley runs in a northwest-southeast direction for approximately 150 km, with the Sierra Nevada to the west and the Inyo and White Mountains to the east. Owens Valley is located in a semi-arid climate and is approximately 3 km deep and roughly 30 km wide. The valley floor slopes towards the northwest at an angle of 0.2. The
Climatological overview of SEB in Owens Valley
The semiarid nature of Owens Valley becomes immediately apparent from the large difference between and (Fig. 3). During T-REX, the average Bowen ratio ranged between 6 and 9 at the valley floor, and between 3 and 7 over the slope. Relatively smaller over the slope coincided with reduced resulting from larger average albedo over the slope (0.22) compared to the valley floor (0.18). Largest and occurred on SD days, the least cloudy category (B17). The ground heat flux
Discussion
Based on the presented analyses, we conclude that entrainment-induced drawdown of warmer and drier free tropospheric air (quadrant Q2) to the floor and slope of Owens Valley, had a rather limited impact on scalar similarity and the observed SEB underclosure. Although scalar dissimilarity was found to be important, the results presented suggest that it was not solely due to entrainment of free tropospheric air. Instead, the application of quadrant analysis revealed a more dominant role of cold
Summary and conclusions
We investigated the impact of TOS and associated entrainment effects on ASL heat fluxes and hence on SEB in a deep mountain valley. To this end, we used the concept of scalar similarity and its violation to quantify the non-local effects of entrainment on the SEB closure. Furthermore, we examined which of the two main TOS forms of convection organization, horizontal convective rolls and open cells, are more efficient in degrading scalar similarity near the surface, and hence SEB as well. By
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
We thank the two anonymous reviewers for their constructive comments that led to an improvement of the manuscript. This research has been funded by NSF award ATM-1151445. We thank Steven Oncley for stimulating discussions. We thank University of Virginia (UVA) Advanced Research Computing Services (ARCS) for technical support.
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