1 Introduction

It is well established that complex terrain affects local meteorology and its impacts are most evident within the lower atmospheric boundary layer (ABL). This influences a wide variety of applications, such as wind engineering and air quality. Early predictions of flows over orography were motivated by the linear theory of Jackson and Hunt (1975), which is most applicable for attached flows over gentle-sloped two-dimensional hills. Since then, the focus of the majority of studies of flow over orography has been on expressing speed-ups above the crests of isolated hills or ridges for wind-energy harvesting. Less emphasis has been given to quantifications of the turbulence characteristics of the respective flows. Particularly above locations downwind from the crests of single hills, such as leeside slopes or their downwind vicinities, flow characterizations are frequently overlooked. This contributes to a lack of understanding of the effects of orography on the turbulence of near-surface ABL flow and further investigations are required.

Field campaigns provide the most reliable measurements for flows over complex terrain. These are limited by high costs and complex logistics, as well as the inability to control flow conditions at the measurement sites. Moreover, finding real sites of isolated terrain features, with well-defined inflow characteristics, constitutes a major challenge. Consequently, a small number of field campaigns has been conducted over the last decades. Those taking place at Askervein hill in the Scottish Hebrides (Taylor and Teunissen 1987), and Bolund hill in Denmark (Bechmann et al. 2009), remain the most widely studied. Recently, the largest field campaign to date was carried out in an isolated valley in Perdigão, Portugal, in the scope of the New European Wind Atlas (Mann et al. 2017; Fernando et al. 2019).

Numerical simulation is the main modelling tool applied to flows over orography. The integration of computational fluid dynamics (CFD) has become common for characterizations of microscale ABL flows over orography. Computational fluid dynamics is particularly advantageous in resolving turbulence characteristics that are neglected or over-simplified in linear models. As exemplified by numerical simulations of the flows over Bolund hill, simulation data continue to show significant disagreements with experimental data close to the surface and in quantifications of turbulence properties (e.g., Bechmann et al. 2011; Chaudhari et al. 2016; Conan et al. 2016). Time-averaged Reynolds-averaged Navier–Stokes (RANS) remains the most widely applied CFD approach for flows over orography (e.g., Loureiro et al. 2007; Blocken et al. 2015). However, time-dependent large-eddy simulation has become the main approach used in the last few decades (e.g., Vuorinen et al. 2015; Liu et al. 2016), but such simulations of flows over orography have failed to provide significant improvements over RANS approaches (e.g., Bechmann et al. 2011; Abdi and Bitsuamlak 2014).

One of the main drivers for the loss of accuracy of numerical models at low altitudes above orography is the lack of validation data from experiments. This is not only restricted by the scarcity of field campaigns but also by the available experimental data lacking high enough spatial and temporal resolutions to match the ever-growing computational capabilities. These increases lead to higher numerical grid resolutions, but the smaller surface heterogeneities also become more influential on the results. This gap can be partially addressed through physical modelling, which enables maximal control of the inflow characteristics and has no requirement for additional turbulence modelling. Large size distributions of turbulent eddies are generated directly and only constrained by the scales of the modelled ABL flows.

Isolated hills or ridges constitute the most common terrain features investigated in wind tunnels. Initiatives related to real terrain structures have been mainly centred on modelling the flows over Bolund (e.g., Yeow et al. 2015; Conan et al. 2016) and Askervein (e.g., Teunissen et al. 1987). Characterizations of flows over real terrain provide the most accurate data for the site-specific landforms but lack transferability to other terrain features of the same type. The majority of wind-tunnel studies have focused on idealized two-dimensional single hills of infinite width (e.g., Takahashi et al. 2002; Ayotte and Hughes 2004; Cao and Tamura 2007). This has limitations due to the wind-tunnel sidewalls that can create unrealistic lateral flow phenomena. Furthermore, air in flow with insufficient kinetic energy to overcome the terrain features become entrapped upstream of the terrain or are unrealistically advected over the terrain, which leads to overestimates of speed-up (Meroney 1990).

Idealized geometries represent a simplified counterpart of more complex systems and allow less influential geometric parameters to be neglected from the modelling process. The lack of site-specific details, which are required for real terrain structures, provides maximal data transferability between equivalent terrain types. This is particularly useful in ascertaining how individual geometric parameters of the terrain, such as slopes or heights, affect near-surface ABL flows. Furthermore, idealized geometries enable variable flow scales without the requirement of replicating site-specific flow conditions. Idealized single landforms consist of simple geometries and small study domains, which are also beneficial in providing validation data for numerical models (Kempf 2008).

Investigations focused on flows over isolated valleys or double ridges are scarce when compared with studies centred on single hills or ridges (Finnigan et al. 2020). The field campaign at Perdigão has provided analysis of specific properties of the flow (e.g., Menke et al. 2018, 2019; Fernando et al. 2019; Letson et al. 2019). Menke et al. (2019) studied the lengths of recirculation zones under different atmospheric stabilities and observed that recirculation mainly took place within the valley for neutrally stable flows, extending on average to the valley centre. Previous studies performed in wind tunnels investigated flows over two-dimensional valleys that consisted of depressions in flat terrain (e.g., Snyder et al. 1991; Garvey et al. 2005). Snyder et al. (1991) evaluated flows above three idealized two-dimensional geometries of constant depth (\(H\)) and varying inner valley slopes (10°, 16°, and 26°). Flow separation originated at the upstream edge of the steepest slope, forming a steady recirculation zone that extended beyond the valley centre to a longitudinal distance of almost 0.75\(H\). Maximal longitudinal velocity fluctuations and shear were found atop of the steep-sloped valley. In a similar investigation, Garvey et al. (2005) studied the flow over a two-dimensional valley with a 27° slope for two inflow directions (0° and 45°). Flow separation was observed, with the resulting recirculation zone extending to just under 70% of the inner valley length for the 0° inflow direction.

The present investigation constitutes a small part of a larger research project aimed at evaluating the effects of complex terrain on near-surface turbulence. Data requirements were ascertained through workshops for scientists and specialists working in the field of flow over complex terrain. Varying geometries of isolated terrain features and measurement locations rarely characterized in the literature were the main requisites proposed by the attendees. In particular, geometries that promoted flow separation and the formation of recirculation zones were major requisites. Accordingly, the effects of three isolated three-dimensional valleys with three distinct slopes (10°, 30°, and 75°), constant depths (\(H\)), and widths (\(A\) = 12\(H\)) were analyzed through physical modelling in a large boundary-layer wind tunnel. In order to evaluate the effects of the slopes on the flows, analyses are mainly centred on time-averaged turbulence properties at three equivalent locations above each of the idealized valleys and compared with undisturbed flows above flat terrain. The experimental set-up is detailed in Sect. 2 and includes descriptions of the valley geometries, the boundary-layer wind tunnel, and measurement techniques. Results of the flows above the flat terrain and the valleys are presented in Sect. 3, and the flow characteristics discussed in Sect. 4. Relevant conclusions are given in Sect. 5.

2 Methodology

Experiments were performed in the Wotan wind-tunnel facility of the Environmental Wind-tunnel Laboratory (EWTL) of the University of Hamburg. With a test-section length of 18 m, width of 4 m, and an adjustable ceiling height ranging between 2.75 and 3.25 m, Wotan is the largest of the EWTL wind tunnels. Wotan has no heating capabilities, thus no buoyancy effects are generated and the modelled ABL flows are neutrally stable.

2.1 Experimental Set-Up

Thirty-one isosceles-shaped spires (of height 27 cm) located at the start of the test section were used to create larger turbulent structures of the modelled ABL flow. This was followed by a fetch of approximately 10.5 m built up of roughness elements to generate the smaller near-surface turbulence structures of the flow. Roughness elements consisted of longitudinally equidistant rows of brass chains with two alternating diameters (4 and 6 mm). Above the model section, with an approximate length of 7.5 m, a flat homogeneous surface built of three-dimensional pyramids of height 1.2 mm maintained constant roughness characteristics between the inflow section and the wind-tunnel outlet. This ensured flow continuity and inhibited the generation of unrealistic internal boundary layers. The homogeneous surface also constituted a reference flat terrain scenario for comparative assessments of the effects of the valleys on the flows, with the corresponding data represented by grey gradient symbols in the plots of Sect. 3. All surfaces were painted black to minimize the backscatter of laser light which can cause anomalous readings.

Correlated flow velocity measurements were made with a Prandtl tube and a laser-Doppler velocimeter with a two-dimensional fibre-optic probe (of diameter 27 cm) and an F80 Burst Spectrum Analyzer (BSA) equipped with BSA software version 4.50.03 (Dantec Dynamics, Skovlunde, Denmark). The former was used for sampling reference longitudinal velocity components (\({U}_{0}\)) and the latter for high-resolution measurements above the valley models. All measurements were performed in the Cartesian (or Earth-referenced) flow coordinate system and employed filtered transit-time weighting. The reproducibility (or data uncertainty) of the measurement data was quantified through several repetitive measurements carried out above each analysis position on different days and is expressed by error bars in the plots presented in Sect. 3.

The experimental set-up ensured minimal flow blockages, verified via the geometric cross-sectional blockage and the gradients of longitudinal static pressure. Valley geometries fulfilled blockage criteria, while geometric blockages (≤ 3%) and pressure gradients (≤ 4%) were below the \(\text{5\%}\) thresholds stated in VDI (2000). Lateral symmetry of the modelled ABL flow was verified for time-averaged dimensionless longitudinal velocity components (\(\overline{U/{U}_{0}}\)) and velocity fluctuations (\(\overline{{\sigma }_{U}/{U}_{0}}\)) above 10 equidistant spanwise locations (\(\Delta y=\) 200 mm). Small lateral inhomogeneities inherent to the wind-tunnel facility were observed, with a maximum difference of ≈ 5% to the average \(\overline{U/{U}_{0}}\) being found at \(y\) = 600 mm from the centreline.

2.2 Flow Similarity

For the present microscale ABL flow, where the effects of Coriolis forces and buoyancy are negligible, similarity between full and model-scale flows is a question of Reynolds number (\(Re\)) independence (Townsend 1956), which was verified for \(\overline{U/{U}_{0}}\) and \(\overline{{\sigma }_{U}/{U}_{0}}\) at \(z/H\) = 0.63. Accordingly, flow similarity was obtained when differences between each parameter were contained within a 2% bandwidth of the corresponding mean values, first occurring for freestream flow speeds starting at ≈ 3 m s−1. A value of ≈ 5 m s−1 was used for the present experiments and resulted in a corresponding turbulence intensity of ≈ 5%. Under these freestream flow conditions, \(Re\) ≈ 3 × 104, which corresponds to a fully turbulent ABL flow according to the criterion (\(Re\) ≥ 1 × 104) proposed by Snyder (1981).

2.3 Valley Geometries

Idealized symmetric three-dimensional valley geometries of constant width (\(A\) = 12\(H\)) were built from combinations of two equivalent three-dimensional ridges with constant height (\(H\)) of 8 cm and spanwise width of 1.8 m. Two ridge geometries (one symmetric and one non-symmetric) provided three distinct inclinations of the windward slopes of the ridges used to build three distinct valley geometries: 10°, 30° (symmetric ridge), and 75°. The idealized valley geometries are schematized in Fig. 1 and named according to the windward slope inclinations of the first ridges. The corresponding horizontal lengths of each of the slopes (or half-lengths) were 45 cm (10° slope), 14 cm (30°), and 2.5 cm (75°). All geometries were aligned normal to the main flow direction (\(U\) in Fig. 1). Model surfaces were built of identical three-dimensional pyramids to that of the flat terrain.

Fig. 1
figure 1

Lateral view of the generic idealized valley geometries and analysis positions, where \(U\) represents the inflow direction, \(H\) the valley depth, \(A\) the valley width, and the angles correspond to the inclinations of the windward slopes of the first ridges that form the valleys

2.4 Analysis Positions

Flow properties were sampled above the centreline of the spanwise symmetry plane (≈ 2 m from the wind-tunnel side walls) above the crests of each of the ridges, hereby designated crest 1 and crest 2, and above the midpoint between the crests, called mid-valley. Measurements were focused on near-surface heights (\(z\)), where shear overpowers buoyancy for neutrally stable ABL flows. Vertical coordinates are normalized with the ridge height (\(H\)) and are terrain following, i.e., expressed as heights above ground level, a.g.l. (\(z/H\)). These are presented in Table 1, together with the absolute values (\(z\)).

Table 1 Measurement heights above local terrain in dimensionless (\(z/H\)) and absolute (\(z\)) coordinates for a model scale of 1:1000

3 Results

Time-averaged turbulence properties analyzed here are turbulence intensities (\(\overline{I}=\stackrel{-}{\sigma }/\stackrel{-}{u}\)), velocity fluctuations (\(\overline{\sigma }\)), wind shear or vertical fluxes (\(\overline{{u}^{^{\prime}}{w}^{^{\prime}}}\)), horizontal fluxes (\(\overline{{u}^{^{\prime}}{v}^{^{\prime}}}\)), and longitudinal integral length scales of turbulence (\(\bar{{L}_{U}^{x}}\)). Furthermore, energy spectra (\(fS/{\sigma }^{2}\)) provide an indication of the turbulent kinetic energy (\(e\)) of the flows and depend on the spectral density of the normalized standard deviation of the one-dimensional velocity component and its reduced frequency, \(fz/U\) (VDI 2000). The length scale quantifies the lengths of the energy-intensive eddies in the flows and are derived from the autocorrelation function, \(R\) (Pope 2000; Foken 2008). For the present study, calculations of \(R\) assume the validity of the hypothesis of frozen turbulence proposed by Taylor (1938). Mean flow parameters are normalized with the time-averaged reference speed (\(\stackrel{-}{{U}_{0}}\)) and with the ridge height (\(H\)) for \(\overline{{L}_{U}^{x}}\). All time-averaged flow properties other than the covariances are represented without overbars in the subsequent analyses.

3.1 Undisturbed Flow Characteristics

Profiles of each of the components of turbulence intensity of the undisturbed flow above flat terrain, presented in Fig. 2, yield a moderately rough classed ABL flow that corresponds to flows over grass or farmlands (VDI 2000). Maximum observed values of each component are expectedly found at \(z/H\) = 0.15 (\({I}_{U}\) ≈ 0.19, \({I}_{V}\) ≈ 0.16, \({I}_{W}\) ≈ 0.1). The ratios of longitudinal to lateral and longitudinal to vertical turbulence at \(z/H\) = 0.15 are \({I}_{U}:{I}_{V}:{I}_{W}\) ≈ 1: 0.8: 0.5, which is in agreement with theoretical values, \({I}_{U}:{I}_{V}:{I}_{W}\) ≈ 1: 0.75: 0.5 (VDI 2000). For a model scale of 1:1000, the corresponding full-scale aerodynamic surface roughness length (\({z}_{0}\)) is approximately 0.025 ± 0.015 m and the profile exponent (\(\alpha \)) is 0.14 ± 0.01. The semi-logarithmic relationship between \({z}_{0}\) and \(\alpha \) also yields a moderately rough classed ABL flow.

Fig. 2
figure 2

Vertical profiles of longitudinal (\({I}_{U}\)), lateral (\({I}_{V}\)), and vertical (\({I}_{W}\)) turbulence intensity components above flat terrain. Curves represent the lower limits of the reference profiles of turbulence roughness classes (VDI 2000)

Vertical profiles of the normalized shear (\(\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}\)) in Fig. 3 are contained within a ± 5% range centred on the near-surface values up to \(z/H\) ≈ 1.25. This indicates that the full-scale depth of the atmospheric surface layer (ASL) is approximately 100 m for a model scale of 1:1000. The ASL roughly corresponds to the lowest 10% of the neutrally stable ABL, hence the modelled ABL has a depth of approximately 1000 m at full-scale (Stull 2000). The corresponding ratio between valley depth (\(H\)) and ABL height is ≈ 0.08. Profiles of the longitudinal integral length scales (\({L}_{U}^{X}/H\)) present the closest agreement with the functional relationship with \({z}_{0}\) at \(z/H\) ≤ 0.25, where \({L}_{U}^{X}/H\) corresponds to values of \({z}_{0}\) of moderately rough classed ABL flows. At higher altitudes, values of \({z}_{0}\) shift to the slightly rough class. Considering the scatter of the reference data, we conclude that the profile of \({L}_{U}^{X}/H\) is physically consistent with a moderately-rough ABL flow above flat terrain.

Fig. 3
figure 3

Semi-logarithmic vertical profiles of the normalized mean vertical fluxes (\(\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}\)) and logarithmic vertical profile of the normalized mean longitudinal integral length scales (\({L}_{U}^{X}/H\)) above flat terrain. Reference lines of \(\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}\) represent the limits of a 10% range centred on the mean from the lowest 5 cm a.g.l. and those of \({L}_{U}^{X}/H\) represent functional relationships with reference values of \({z}_{0}\) (Counihan 1975)

Spectral distributions of the longitudinal (\(f{S}_{U}/{\sigma }_{U}^{2}\)), lateral (\(f{S}_{V}/{\sigma }_{U}^{2}\)), and vertical (\(f{S}_{W}/{\sigma }_{U}^{2}\)) turbulent energy of the undisturbed flow at \(z/H\) = 0.15 are displayed in Fig. 4. All components show good agreement with the reference data from the experiments of Kaimal et al. (1972) and Simiu and Scanlan (1986). The peak of the longitudinal component (\(f{S}_{U}/{\sigma }_{U}^{2}\) ≈ 0.2) is ≈ 18% larger than that of Kaimal et al. (1972) and ≈ 5% smaller than obtained by Simiu and Scanlan (1986). The corresponding reduced frequency (\(fz/U\) ≈ 0.08) is ≈ 60% larger than found by Kaimal et al. (1972) and ≈ 50% smaller than Simiu and Scanlan (1986). Peaks of the lateral (\(f{S}_{V}/{\sigma }_{U}^{2}\) ≈ 0.2) and vertical (\(f{S}_{W}/{\sigma }_{U}^{2}\) ≈ 0.3) spectra are ≈ 18% and ≈ 25% (respectively) larger than observed by Kaimal et al. (1972). These also occur at larger frequencies than those of Kaimal et al. (1972), with increases of ≈ 54% and ≈ 7% found for the frequencies of lateral (\(fz/U\) ≈ 0.28) and vertical (\(fz/U\) ≈ 0.3) components, respectively. Within the inertial subranges of the respective distributions, the data exhibit an approximate − 2/3 slope that is consistent with Kolmogorov theory.

Fig. 4
figure 4

Spectral distributions of the normalized longitudinal (\(f{S}_{U}/{\sigma }_{U}^{2}\)), lateral (\(f{S}_{V}/{\sigma }_{U}^{2}\)), and vertical (\(f{S}_{W}/{\sigma }_{U}^{2}\)) turbulent energy as functions of reduced frequency (\(fz/U\)) at \(z/H\) = 0.15 above flat terrain. Reference curves represent the data from Kaimal et al. (1972) and Simiu and Scanlan (1986) and reference lines the − 2/3 slopes of the inertial subranges according to Kolmogorov theory

3.2 Flows Above Valleys

3.2.1 Crest 1

Flows above the crests of the first ridges display slope-dependent increases of longitudinal velocity component (\(U/{U}_{0}\)) over the undisturbed flow data, with the largest gains predictably occurring nearest to the surface. A maximum increase of ≈ 45% over the undisturbed flow is found for the 30° geometry (\(U/{U}_{0}\) ≈ 0.8 at \(z/H\) = 0.15) and is followed by those of the 10° and 75° geometries with increases of ≈ 40% and ≈ 25%, respectively. The lateral velocity component (\(V/{U}_{0}\)) is expectedly less affected by the presence of the first ridges, which is verified by the closest agreement with the undisturbed flow data of all velocity components; the value of \(V/{U}_{0}\) is not equal to zero due to the lateral inhomogeneities mentioned in Sect. 2.1. The vertical velocity component (\(W/{U}_{0}\)) exhibits increases relative to the undisturbed flow of over an order of magnitude for all geometries at \(z/H\) < 1; values of \(W/{U}_{0}\) predictably present inverse slope trends to \(U/{U}_{0}\), with the maximum value of \(W/{U}_{0}\) (≈ 0.5 at \(z/H\) = 0.15) found atop the 75° slope, being ≈ 50% and ≈ 75% larger than the 30° and 10° counterparts, respectively.

Longitudinal velocity fluctuations (\({\sigma }_{U}/{U}_{0}\)), displayed in Fig. 5, show close agreement with the undisturbed flow data for all valley geometries at \(z/H\) ≥ 0.63. Nearer to the surface, the 75° geometry generates the largest observed increases of \({\sigma }_{U}/{U}_{0}\) above crest 1. The maximum observed magnitude of \({\sigma }_{U}/{U}_{0}\) (≈ 0.12 at \(z/H\) = 0.15) corresponds to an increase of ≈ 20% over the undisturbed flow. Inversely, the value of \({\sigma }_{U}/{U}_{0}\) unexpectedly decreases by ≈ 15% with regard to the undisturbed flow at \(z/H\) = 0.15 atop the 10° windward slope. Lateral components of the velocity fluctuations present the largest near-surface magnitudes of the fluctuations above crest 1. The maximum observed magnitude (\({\sigma }_{V}/{U}_{0}\) ≈ 0.2 at \(z/H\) = 0.15) is found at atop the 75° windward slope and is about twice that of the undisturbed flow and the 10° geometry (and ≈ 54% larger than the maximum of the 30° geometry). The maximum magnitude of the vertical velocity fluctuations (\({\sigma }_{W}/{U}_{0}\) ≈ 0.1 at \(z/H\) = 0.15) is found atop the 75° slope and is approximately twice that of the undisturbed flow and the 10° geometry (and ≈ 43% larger than the 30° geometry). Ratios of longitudinal to lateral and longitudinal to vertical turbulence at \(z/H\) = 0.15 are \({\sigma }_{U}:{\sigma }_{V}:{\sigma }_{W}\) ≈ 1: 1.7: 0.9, ≈ 1: 1.4: 0.8, and ≈ 1: 1.1: 0.6 for the 75°, 30°, and 10° geometries, respectively.

Fig. 5
figure 5

Vertical profiles of the normalized mean longitudinal (\({\sigma }_{U}/{U}_{0}\)), lateral (\({\sigma }_{V}/{U}_{0}\)), and vertical (\({\sigma }_{W}/{U}_{0}\)) velocity fluctuation components above crest 1

The constant shear properties that characterize ASL flows above flat terrain are lost due to the presence of the first ridges of each of the valleys. This is ascertained from the height-dependent variations of the vertical fluxes (\(\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}\)), which are displayed in Fig. 6. These exceed a ± 5% range centred on the average of the corresponding near-surface values (from \(z/H\) ≤ 0.63) for all valley geometries. The largest deviations of \(\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}\) relative to the undisturbed flow occur atop the 75° windward slope, the maximum observed magnitude (\(\left|\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}\right|\) ≈ 0.006 at \(z/H\) = 0.25) corresponding to an approximate threefold increase over the maxima of the other geometries and the undisturbed flow data. Horizontal fluxes (\(\overline {u^{\prime}v^{\prime}}/{U}_{0}^{2}\)) and integral length scales (\({L}_{U}^{X}/H\)), also presented in Fig. 6, are the least affected of the time-averaged turbulence parameters above crest 1. Both properties exhibit the closest observed agreement with the data from the flow over flat terrain at all heights of the respective vertical profiles. The negligible scatter between data from the different slopes, which is verified by the data contained within the corresponding ranges of uncertainty in the plots, indicates that both of these properties do not depend on the slopes.

Fig. 6
figure 6

Semi-logarithmic vertical profiles of the normalized mean vertical fluxes (\(\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}\)), horizontal fluxes (\(\overline {u^{\prime}v^{\prime}}/{U}_{0}^{2}\)), and logarithmic vertical profiles of the normalized mean longitudinal integral length scales (\({L}_{U}^{X}/H\)) above crest 1

The peak energy of the horizontal components of the spectra, \(f{S}_{U}/{\sigma }_{U}^{2}\) and \(f{S}_{V}/{\sigma }_{U}^{2}\), at \(z/H\) = 0.15 (displayed in Fig. 7) is predictably larger than the undisturbed flow for all valley geometries. Maximum increases of ≈ 10% relative to the peaks of the undisturbed flow are observed for both components atop the 30° and 75° windward slopes (\(f{S}_{U}/{\sigma }_{U}^{2}\) ≈ 0.22 and \(f{S}_{V}/{\sigma }_{U}^{2}\) ≈ 0.23). Distributions of \(f{S}_{W}/{\sigma }_{U}^{2}\) act inversely, with decreases of peak energy compared to the flat terrain being found for the 30° and 75° slopes. The largest of the observed decreases, of ≈ 30%, is found atop the 30° slope (where \(f{S}_{W}/{\sigma }_{U}^{2}\) ≈ 0.21). Peaks of \(f{S}_{U}/{\sigma }_{U}^{2}\) and \(f{S}_{W}/{\sigma }_{U}^{2}\) occur at higher frequencies than those of the undisturbed flow. Maximum increases of roughly fourfold and twofold are found atop the 30° slope for \(f{S}_{U}/{\sigma }_{U}^{2}\) (\(fz/U\) ≈ 0.3) and \(f{S}_{W}/{\sigma }_{U}^{2}\) (\(fz/U\) ≈ 1.2), respectively. Peaks of \(f{S}_{V}/{\sigma }_{U}^{2}\) occur at lower frequencies than the undisturbed flow, the largest decrease of ≈ 60% being found for the peak of the 75° slope (\(fz/U\) ≈ 0.08). With the exception of \(f{S}_{W}/{\sigma }_{U}^{2}\), the shifts of frequency relative to the undisturbed flow are independent of slope inclinations. The peak of \(f{S}_{W}/{\sigma }_{U}^{2}\) of the 10° geometry occurs at a frequency (\(fz/U\) ≈ 2.9) that is ≈ 70% larger than the other valleys. At the lower frequencies of the respective inertial subranges, \(f{S}_{U}/{\sigma }_{U}^{2}\) and \(f{S}_{V}/{\sigma }_{U}^{2}\) exhibit shallower slopes than proposed by Kolmogorov theory.

Fig. 7
figure 7

Spectral distributions of the normalized longitudinal (\(f{S}_{U}/{\sigma }_{U}^{2}\)), lateral (\(f{S}_{V}/{\sigma }_{U}^{2}\)), and vertical (\(f{S}_{W}/{\sigma }_{U}^{2}\)) turbulent energy as function of reduced frequency (\(fz/U\)) at \(z/H\) = 0.15 above crest 1. Reference curves represent the data from Kaimal et al. (1972) and Simiu and Scanlan (1986) and reference lines the − 2/3 slopes of the inertial subranges according to Kolmogorov theory

3.2.2 Mid-valley

Flow separation originates at crest 1 and generates steady recirculation zones inside the valleys, as highlighted by the longitudinal flow reversal (\(U/{U}_{0}\) < 0) at \(z/H\) < 1 above the mid-valley (in Fig. 8). The recirculation zones extend to roughly half of the valley for all geometries. The largest observed magnitude of reversed flow (\(U/{U}_{0}\) ≈ − 0.16 at \(z/H\) = 0.15) is found for the 30° geometry and is ≈ 71% smaller (in magnitude) than the undisturbed flow data at the same height. This is ≈ 60% larger than \(U/{U}_{0}\) of the 75° geometry, which indicates that the leeside slopes also affect flows downwind from the first ridges. The lateral component (\(V/{U}_{0}\)) increases over the undisturbed flow at \(z/H\) < 1 for all valley geometries, which indicates the occurrence of lateral flow acceleration in the channels between ridges. Maximum magnitudes of \(V/{U}_{0}\) (≈ 0.06) are found for 75° (at \(z/H\) = 0.15) and 30° geometries (\(z/H\) = 0.38) and are ≈ 50% larger than that of the 10° geometry (found at \(z/H\) = 0.15). Downward flows (\(W/{U}_{0}\) < 0) extending to \(z/H\) > 2.5 characterize the aforementioned vertical plane recirculation zones. The maximum magnitude of downward flow (\(W/{U}_{0}\) ≈ − 0.06) is found at \(z/H\) = 0.94 above the 10° geometry and is roughly twice the maxima of \(\left|W/{U}_{0}\right|\) of 75° and 30° geometries (both at \(z/H\) = 1.25).

Fig. 8
figure 8

Vertical profiles of the normalized mean longitudinal (\(U/{U}_{0}\)), lateral (\(V/{U}_{0}\)), and vertical (\(W/{U}_{0}\)) velocity components above the mid-valley

Maximum magnitudes of all components of the velocity fluctuations above the mid-valley (presented in Fig. 9) are found near ridge height (\(z/H\) ≈ 1) for the 75° geometry. The maximum of the longitudinal components (\({\sigma }_{U}/{U}_{0}\) ≈ 0.26 at \(z/H\) = 1.25) is over twice that of the undisturbed flow. Moreover, this constitutes increases of ≈ 8% and ≈ 30% over the maxima of the 30° (observed at \(z/H\) = 1.25) and 10° (at \(z/H\) = 0.94) geometries, respectively. For all geometries, the maximum magnitudes of \({\sigma }_{V}/{U}_{0}\) and \({\sigma }_{W}/{U}_{0}\) are found at equivalent heights to the maxima of \({\sigma }_{U}/{U}_{0}\). The largest magnitude of the lateral fluctuations (\({\sigma }_{V}/{U}_{0}\) ≈ 0.26) is found at \(z/H\) = 1.25 above the 75° geometry and is ≈ 14% and ≈ 26% larger than the maxima of the 30° (at \(z/H\) = 1.25) and 10° (at \(z/H\) = 0.94) geometries, respectively. The maximum magnitude of the vertical components (\({\sigma }_{W}/{U}_{0}\) ≈ 0.2 at \(z/H\) = 1.25) is observed for the 75° geometry and is ≈ 11% and ≈ 54% larger than the maxima of the 30° (at \(z/H\) = 1.25) and 10° (at \(z/H\) = 0.94) geometries, respectively. Nearer to the surfaces (at \(z/H\) < 0.63), \({\sigma }_{V}/{U}_{0}\) exceeds \({\sigma }_{U}/{U}_{0}\) for all geometries. This is highlighted by the ratios of longitudinal to lateral and longitudinal to vertical turbulence at \(z/H\) = 0.15, with \({\sigma }_{U}:{\sigma }_{V}:{\sigma }_{W}\) ≈ 1: 1.3: 0.7, ≈ 1: 1.2: 0.9, and ≈ 1: 1.1: 0.9 for the 75°, 30°, and 10° geometries, respectively.

Fig. 9
figure 9

Vertical profiles of the normalized mean longitudinal (\({\sigma }_{U}/{U}_{0}\)), lateral (\({\sigma }_{V}/{U}_{0}\)), and vertical (\({\sigma }_{W}/{U}_{0}\)) velocity fluctuation components above the mid-valley

The largest intensities of \({\overline{u^{\prime}w^{\prime}}}/{U}_{0}^{2}\), presented in Fig. 10, coincide with the heights of maximum \({\sigma }_{U}/{U}_{0}\) and \({\sigma }_{W}/{U}_{0}\) values for all geometries (\(z/H\) ≈ 1). The maximum \(\left|\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}\right|\) (≈ 0.03) is found for the 75° geometry at \(z/H\) = 1.25 and is over an order of magnitude larger than that of the undisturbed flow. This also constitutes increases of ≈ 24% and ≈ 63% relative to the maxima of 30° (found at \(z/H\) = 1.25) and 10° (at \(z/H\) = 0.94) geometries, respectively. Effects of the valleys on \(\overline {u^{\prime}v^{\prime}}/{U}_{0}^{2}\) are the least conspicuous of all mean turbulence properties above the mid-valley and the largest magnitudes are found at different heights to those of \({\sigma }_{U}/{U}_{0}\) and \({\sigma }_{V}/{U}_{0}\). The maximum observed magnitude (\(\left|\overline {u^{\prime}v^{\prime}}/{U}_{0}^{2}\right|\) ≈ 0.002) is found at \(z/H\) = 0.94 for the 75° valley and is ≈ 14% and ≈ 32% larger than the maxima of 30° (at \(z/H\) = 0.63) and 10° (at \(z/H\) = 0.38) geometries, respectively. At \(z/H\) < 1, values of \({L}_{U}^{X}/H\) decrease by at least an order of magnitude with regard to the flow over flat terrain. The largest observed decrease of roughly two orders of magnitude from the undisturbed flow data is found for the 75° geometry (\({L}_{U}^{X}/H\) ≈ 0.04 at \(z/H\) = 0.63). The smallest energy-intensive eddies of the 10° (\(z/H\) = 0.25) and 30° (\(z/H\) = 0.63) geometries correspond to twofold and fivefold increases over that of the 75° valley. At \(z/H\) > 1, the flows are driven by larger eddies that tend to converge with the eddy sizes of the undisturbed flow with increasing altitudes.

Fig. 10
figure 10

Semi-logarithmic vertical profiles of the normalized mean vertical shear (\(\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}\)), horizontal fluxes (\(\overline {u^{\prime}v^{\prime}}/{U}_{0}^{2}\)), and logarithmic vertical profiles of the normalized mean longitudinal integral length scales (\({L}_{U}^{X}/H\)) above the mid-valley

Distributions of all components of the spectra are presented in Fig. 11. The maximum longitudinal peak energy, \(f{S}_{U}/{\sigma }_{U}^{2}\) ≈ 0.4, is found for the 10° geometry and is ≈ 9%, ≈ 21%, and ≈ 50% larger than the peaks of the 75°, 30°, and flat terrain cases, respectively. Peaks of \(f{S}_{U}/{\sigma }_{U}^{2}\) occur at larger frequencies than the undisturbed flow, the largest of which corresponds to an increase of ≈ 63% for the 10° geometry (\(fz/U\) ≈ 0.13). The maximum peak of \(f{S}_{V}/{\sigma }_{U}^{2}\) (≈ 0.4) is found for the 75° valley and corresponds to increases of ≈ 16% and ≈ 37% over those of the 30° and 10° geometries (respectively) and twice that of the undisturbed flow. These occur at lower frequencies than that of the undisturbed flow. Those of the 30° (\(fz/U\) ≈ 0.019) and 75° (\(fz/U\) ≈ 0.016) geometries constitute decreases of about an order of magnitude relative to the flat terrain case. Furthermore, the inertial subranges of \(f{S}_{V}/{\sigma }_{U}^{2}\) have shallower slopes than predicted by Kolmogorov theory. As indicated by the similar distributions to the undisturbed flow, vertical components are the least affected of the spectra. The maximum peak (\(f{S}_{W}/{\sigma }_{U}^{2}\) ≈ 0.3) is observed for the 10° geometry and is comparable to that of the undisturbed flow and larger than the peaks of the 75° (≈ 7%) and 30° (≈ 16%) geometries. The peak of the 10° valley occurs at a frequency (\(fz/U\) ≈ 1.2) over twice that of the undisturbed flow, whereas those of the 75° and 30° geometries constitute decreases of ≈ 70% and ≈ 76%, respectively.

Fig. 11
figure 11

Spectral distributions of the normalized longitudinal (\(f{S}_{U}/{\sigma }_{U}^{2}\)), lateral (\(f{S}_{V}/{\sigma }_{U}^{2}\)), and vertical (\(f{S}_{W}/{\sigma }_{U}^{2}\)) turbulent energy as function of reduced frequency (\(fz/U\)) at \(z/H\) = 0.15 above the mid-valley. Reference curves represent the data from Kaimal et al. (1972) and Simiu and Scanlan (1986) and reference lines the − 2/3 slopes of the inertial subranges according to Kolmogorov theory

3.2.3 Crest 2

Near-surface increases of \(U/{U}_{0}\) (displayed in Fig. 12) relative to the undisturbed flow only occur above crest 2 of the 10° valley. The largest observed increase (≈ 25%) is found at \(z/H\) = 0.15, where \(U/{U}_{0}\) ≈ 0.7. The other geometries decrease relative to the flow over flat terrain, the largest of which for the 30° geometry (≈ 25% decrease at \(z/H\) = 0.63). The lateral component (\(V/{U}_{0}\)) is only influenced by the valleys at \(z/H\) ≤ 0.63 and is in agreement with the undisturbed flow at higher altitudes. The largest observed magnitude (\(V/{U}_{0}\) ≈ 0.11) is found at \(z/H\) = 0.15 for the 30° valley and is about four times larger than the data from the other valleys. Similar to the findings made above crest 1, the vertical component (\(W/{U}_{0}\)) has an inverse slope trend to \(U/{U}_{0}\) above crest 2. The maximum magnitude of \(W/{U}_{0}\) is found for the 10° geometry (\(W/{U}_{0}\) ≈ 0.3 at \(z/H\) = 0.15) and is over two and five times larger than the maxima of the 30° and 75° geometries (respectively), which are found at the same height. The 10° geometry has the steepest windward slope of the second ridge (75°), thus \(W/{U}_{0}\) is the most affected of the velocity components due to the inclinations of the windward slopes of the second ridges.

Fig. 12
figure 12

Vertical profiles of the normalized mean longitudinal (\(U/{U}_{0}\)), lateral (\(V/{U}_{0}\)), and vertical (\(W/{U}_{0}\)) velocity components above crest 2

The maximal magnitudes of \({\sigma }_{U}/{U}_{0}\) above crest 2 (presented in Fig. 13) are found at \(z/H\) ≈ 1, the largest of which is observed for the 30° geometry (\({\sigma }_{U}/{U}_{0}\) ≈ 0.22 at \(z/H\) = 1.25) and is approximately twice the maximum of the undisturbed flow (found at \(z/H\) = 0.15). This corresponds to increases of ≈ 10% and ≈ 38% over the maxima of the 75° (at \(z/H\) = 1.25) and 10° (at \(z/H\) = 0.94) geometries, respectively. At \(z/H\) ≤ 0.38, the largest magnitudes of \({\sigma }_{U}/{U}_{0}\) are those of the 75° geometry, with the maximum found at \(z/H\) = 0.38 (\({\sigma }_{U}/{U}_{0}\) ≈ 0.19). The maximum observed magnitudes of the lateral components (\({\sigma }_{V}/{U}_{0}\)) of all valley geometries are found at \(z/H\) = 0.15 and constitute increases of at least threefold over the maximum of the undisturbed flow. The largest magnitude (\({\sigma }_{V}/{U}_{0}\) ≈ 0.27) is found for the 30° geometry and is ≈ 5% and ≈ 13% larger than the maxima of the 10° and 75° valleys, respectively. The maximum magnitude of the vertical fluctuations is also observed for the 30° geometry (\({\sigma }_{W}/{U}_{0}\) ≈ 0.2 at \(z/H\) = 0.63) and is four times larger than the maximum of the undisturbed flow (\(z/H\) = 0.15), which corresponds to increases of ≈ 5% and ≈ 18% over the maxima of the 10° (found at \(z/H\) = 0. 38) and 75° (at \(z/H\) = 0.63) valleys, respectively. Ratios of longitudinal to lateral and longitudinal to vertical turbulence at \(z/H\) = 0.15 are \({\sigma }_{U}:{\sigma }_{V}:{\sigma }_{W}\) ≈ 1: 1.3: 0.7, ≈ 1: 1.6: 1, and ≈ 1: 1.7: 0.9 for the 75°, 30°, and 10° geometries, respectively.

Fig. 13
figure 13

Vertical profiles of the normalized mean longitudinal (\({\sigma }_{U}/{U}_{0}\)), lateral (\({\sigma }_{V}/{U}_{0}\)), and vertical (\({\sigma }_{W}/{U}_{0}\)) velocity fluctuation components above crest 2

Following the same slope trends observed for the velocity fluctuations, the maximum absolute value of \(\overline{u^{\prime}w^{\prime}}/{U}_{0}^{2}\) above crest 2 (displayed in Fig. 14) is found above the 30° valley (\(|\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}|\) ≈ 0.02 at \(z/H\) = 0.94) and is about an order of magnitude larger than the maximum of the flow over flat terrain. This also corresponds to increases of ≈ 12% and ≈ 36% over the maxima of the 10° (which is found at \(z/H\) = 0.25) and 75° (at \(z/H\) = 0.94) valley geometries, respectively. These slope dependencies are also replicated by the horizontal fluxes above crest 2, the maximum observed magnitude of \(\overline {u^{\prime}v^{\prime}}/{U}_{0}^{2}\) being found for the 30° geometry (\(\left|\overline {u^{\prime}v^{\prime}}/{U}_{0}^{2}\right|\) ≈ 0.004 at \(z/H\) = 0.25). The maxima of \(\overline {u^{\prime}v^{\prime}}/{U}_{0}^{2}\) of the 10° and 75° geometries, which are observed at the same altitude, are approximately half the magnitude of the maximum of the 30° geometry. Profiles of \({L}_{U}^{X}/H\) are the least affected of the time-averaged turbulence properties above crest 2. This is demonstrated by the closest observed agreement with the vertical profile of the undisturbed flow, with data from all geometries generally contained within the respective ranges of data uncertainty. This indicates that the most energy-intensive longitudinal eddies of the flows above crest 2 of each of the valley geometries have equivalent average lengths to those of the flow above flat terrain.

Fig. 14
figure 14

Semi-logarithmic vertical profiles of the normalized mean vertical shear (\(\overline {u^{\prime}w^{\prime}}/{U}_{0}^{2}\)), horizontal fluxes (\(\overline {u^{\prime}v^{\prime}}/{U}_{0}^{2}\)), and logarithmic vertical profiles of the normalized mean longitudinal integral length scales (\({L}_{U}^{X}/H\)) above crest 2

The maximum peak of longitudinal spectra (in Fig. 15) is observed for the 75° geometry (\(f{S}_{U}/{\sigma }_{U}^{2}\) ≈ 0.32) and is ≈ 60% larger than that of the undisturbed flow. Peaks of the 30° and 10° geometries are ≈ 6% and ≈ 28% smaller, respectively. Frequencies of peak \(f{S}_{U}/{\sigma }_{U}^{2}\) for 75° and 30° geometries (\(fz/U\) ≈ 0.16) are twice that of the undisturbed flow, whereas that of the 10° valley occurs at an equivalent frequency. The largest peak of the lateral components (\(f{S}_{V}/{\sigma }_{U}^{2}\) ≈ 0.33) is found for the 30° geometry and constitutes an increase of ≈ 65% over the undisturbed flow. Peaks of the 10° and 75° geometries are ≈ 3% and ≈ 12% smaller, respectively. Peaks of \(f{S}_{V}/{\sigma }_{U}^{2}\) occur at lower frequencies than that of the undisturbed flow for all geometries. The largest decrease, ≈ 61%, is found for the 10° valley (\(fz/U\) ≈ 0.11) followed by the 30° (≈ 54%) and 75° (≈ 46%) geometries. At the lower frequencies of the inertial subranges (\(fz/U\) < 0.5), distributions of \(f{S}_{V}/{\sigma }_{U}^{2}\) exhibit steeper slopes than proposed by Kolmogorov theory. The largest peak of \(f{S}_{W}/{\sigma }_{U}^{2}\) (≈ 0.29) is found for the 10° valley and is ≈ 3% smaller than the flat terrain case, those of the 30° and 75° geometries correspond to decreases of ≈ 10% and ≈ 17%, respectively. Frequencies of peak \(f{S}_{W}/{\sigma }_{U}^{2}\) are ≈ 61% and ≈ 71% smaller than that of the undisturbed flow for 30° (\(fz/U\) ≈ 0.19) and 10° (\(fz/U\) ≈ 0.14) geometries, respectively. Inversely, the frequency of the peak of the 75° valley (\(fz/U\) ≈ 0.82) is ≈ 61% larger than the flat terrain.

Fig. 15
figure 15

Spectral distributions of the normalized longitudinal (\(f{S}_{U}/{\sigma }_{U}^{2}\)), lateral (\(f{S}_{V}/{\sigma }_{U}^{2}\)), and vertical (\(f{S}_{W}/{\sigma }_{U}^{2}\)) turbulent energy as function of reduced frequency (\(fz/U\)) at \(z/H\) = 0.15 above crest 2. Reference curves represent the data from Kaimal et al. (1972) and Simiu and Scanlan (1986) and reference lines the − 2/3 slopes of the inertial subranges according to Kolmogorov theory

4 Discussion

Above the crests of the first ridges (crest 1), increases in the longitudinal velocity component relative to the undisturbed flow mirror speed-up characteristics previously reported for flows above single hills with comparable windward slopes (e.g., Ayotte and Hughes 2004; Cao and Tamura 2007; Lubitz and White 2007). Maximum speed-ups are found for the smaller inclinations (the maximum atop the 30° slope) and tend to decrease with increases of slope steepness. Turbulence characteristics are the least pronounced above crest 1 and generally exhibit inverse slope dependencies to the velocities. This is exemplified by the near-surface longitudinal velocity fluctuations, which exhibit decreasing magnitudes with decreasing slopes. In particular, these unexpectedly present smaller magnitudes than the undisturbed flow atop the 10° slope. This may be attributed to dampening of longitudinal turbulence due to the gentle slope and its extended length rather than flow laminarization due to rapid flow distortion, as proposed by Cao and Tamura (2007). Results also indicate that near-surface transfers of turbulent energy from longitudinal to lateral and vertical directions take place above crest 1 and tend to increase with increasing slope steepness.

As highlighted by the longitudinal flow reversal observed above the mid-valley locations, vertical-plane recirculation zones originate above the first ridges of all geometries. This includes the 10° geometry, for which flow separation was not reported in past studies of flows over symmetric hills of similar slopes (e.g., Cao et al. 2012). The non-symmetric 10° geometry has a steep leeside slope (75°) of the first ridge, which shows that vertical-plane flow separation is also driven by the leeside slopes. The lengths of recirculation zones are independent of the slopes and extend to roughly half the valley width, showing agreement with the average length observed at Perdigão (Menke et al. 2019). Flow dynamics within the recirculation zones are dominated by lateral turbulence that overpowers the longitudinal counterparts at the lowest measurement heights. This results from horizontal-plane flow separation around the side slopes of the first ridges and consequent lateral flow channelling in the spaces between ridges. The largest differences to the undisturbed flow data above the mid-valley are generally observed for the 75° geometry, which indicates the dominance of the windward slopes of the first ridges. Based on these findings, increases in steepness of the windward slopes of the first ridges lead to increases of the three-dimensional turbulence characteristics above the inner valley regions.

Downstream from the vertical-plane recirculation zones the more turbulent nature of the near-surface flows is translated by the largest global magnitudes of turbulence intensity (at \(z/H\) ≤ 0.38), found above the crests of the second ridges (crest 2). Lateral turbulence continues to overpower the longitudinal and vertical components nearest to the surface, as exemplified by the corresponding turbulence ratios above crest 2. This may be attributed to the effects of lateral flow channelling caused by the horizontal-plane flow separation around the first ridges and observed nearest to the surface of the inner valley regions. Results show that terrain effects on the near-surface turbulence of the flows above crest 2 are governed by the inflow characteristics of the second ridges and by their windward slopes. Inflows of the second ridges are mainly affected by the windward slopes of the first ridges, thus most affected by the 75° geometry. However, the gentle inclination of the windward slope of the second ridge of this geometry tends to dampen the turbulence upstream from crest 2. Inversely, the smaller effects on the inflow for the 10° geometry are amplified by the steepest windward slope of its second ridge. While not exhibiting the strongest influence on the inflow or the largest effects of the windward slopes, the combined effects of each generally result in maximal magnitudes of turbulence intensity above crest 2 being found for the 30° geometry.

For the present experiments, the observed slope dependencies above each of the analysis positions are generally consistent amongst all studied turbulence properties. This is verified for the time-averaged flow properties and the peaks of energy of the spectral distributions at the lowest measurement height above each position (\(z/H\) = 0.15). However, the cause of the observed shifts of the frequencies of the spectral peaks relative to the undisturbed flow and reference data remains an open question. We can exclude the tilt of the coordinate system or the measurement set-ups as sources for these observations. The former was verified through flow coordinate transformations based on the average point-specific flow directions and the latter remained unchanged throughout the experiments, having yielded good agreement with the reference distributions for the undisturbed flow scenario.

5 Conclusions

Flows over three-dimensional symmetric isolated valleys of varying slope and with constant depth and width were characterized in a large boundary-layer wind tunnel. In order to ascertain the effects of the slopes on near-surface turbulence, flows above three distinct symmetric valley geometries were compared with undisturbed flows above flat terrain. For a model scale of 1:1000, the undisturbed flow data are in good agreement with neutrally stratified and moderately rough classed ABL flows at full scale.

Results show that the isolated valleys affect near-surface turbulence above the crests of both ridges and above the midpoint between the crests, with maximum impacts found downstream from the first ridges. Effects on the flows are generally dependent on the inclinations of the slopes of the ridges from which the valleys were built. Steeper slopes are found to generate the largest increases of turbulence compared with the undisturbed flow. Moreover, the inclinations of the windward slopes of both ridges are more influential on the flow perturbations than the respective leeside slopes. For all valleys, horizontal- and vertical-plane flow separation, driven by the presence of the first ridges, result in highly turbulent recirculation zones within the inner valleys. The lengths of the vertical-plane recirculation zones, roughly half the valley width for all geometries, are found to be independent of the slopes. Lateral turbulence dominated the near-surface flow characteristics within the recirculation zones, with maximum magnitudes found for steeper slopes of the first ridges. This is due to the three-dimensional geometries that allow the flow to transit around the sides of the ridges.

When comparable, the present results are consistent with previous findings reported in the literature. In particular, the data obtained above the crests of the first ridges show good agreement with trends extensively reported for flows over single hills or ridges. This demonstrates the reliability of the current experimental set-up and its ability to provide high-quality turbulence statistics above downstream locations that have been less studied in the past. Thus, our data can be valuable in providing validation for numerical models and in improving the understanding of the effects of valleys on near-surface ABL flows.