The atmospheric boundary layer behaves very differently in complex terrain, with impacts on wind energy and phenomena like mountain venting. We have recently participated in three experiments in complex terrain. The DOE-funded WFIP2 project sought to improve forecasting models in complex terrain (Shaw et al. 2019 BAMS, Wilczak et al. 2019 BAMS, and Olson et al. 2019 BAMS). One novel aspect of the WFIP2 observations was the documentation of how mountain waves affect wind energy production (Xia et al. 2021 RE, Draxl et al. 2021 WES). We have used these data to test and extend dissipation rate measurements in complex terrain (Bodini, Lundquist, Krishnamurthy et al. 2019 ACP). With collaborators, we are using these data for assessing novel methods for modeling flows in complex terrain (Arthur et al. 2022 JAMC) including statistical forecasting methods (Worsnop et al. 2018 WES) and operational models (Pichugina et al. 2022 in press WAF, Banta et al. 2021 WAF, Djalalova et al. 2020 WAF, Pichugina et al. 2020 JRSE, Bianco et al. 2019 GMD). In the international wind energy complex terrain Perdigão experiment (Portugal 2017, Fernando et al. 2017 BAMS), we deployed a tethered lifting system for unique in-situ measurements of turbulence (TLS) as well as ground-based lidars. We used lidars to characterize complex flows such as recirculation (Menke et al. 2018) and compared lidar and TLS measurements of dissipation rate (Wildmann et al. 2019). Using the TLS and lidar measurements, we evaluated mesoscale-microscale simulation approaches (Wise et al. 2022) in complex terrain. Finally, a small NREL/industry complex-terrain experiment provided new insights for testing wind turbine control strategies in complex terrain, summarized in Fleming et al. 2019 WES, Fleming et al. 2020 WES. We used this dataset (Murphy et al. 2020 WES) to demonstrate the how the atmospheric profile can dictate wind turbine power performance, in contrast to work we have done in simple terrain (Sanchez Gomez and Lundquist 2020 WES).