TY - JOUR
T1 - Determining stationary periods across multiple sensors
T2 - An application to observed canopy turbulence response to atmospheric stability
AU - Pan, Ying
AU - Patton, Edward G.
N1 - Funding Information:
Acknowledgments. This material is based upon work supported by the National Center for Atmospheric Research (NCAR), which is a major facility sponsored by the National Science Foundation under Cooperative Agreement 1852977. We would like to acknowledge the operational, technical, and scientific support provided by NCAR’s Earth Observing Laboratory (particularly, Steven Oncley for providing access to the raw data). We also thank the Cilker family for allowing CHATS to be conducted in their orchard. EGP specifically acknowledges support from NCAR’s Geophysical Turbulence Program. We thank the three anonymous reviewers for constructive comments that have helped us improve the manuscript.
Funding Information:
This material is based upon work supported by the National Center for Atmospheric Research (NCAR), which is a major facility sponsored by the National Science Foundation under Cooperative Agreement 1852977. We would like to acknowledge the operational, technical, and scientific support provided by NCAR?s Earth Observing Laboratory (particularly, Steven Oncley for providing access to the raw data). We also thank the Cilker family for allowing CHATS to be conducted in their orchard. EGP specifically acknowledges support from NCAR?s Geophysical Turbulence Program. We thank the three anonymous reviewers for constructive comments that have helped us improve the manuscript.
Publisher Copyright:
© 2020 American Meteorological Society.
PY - 2020/4
Y1 - 2020/4
N2 - A recently proposed multisensor stationarity analysis technique (MSATv1) is improved to eliminate the initial interrogation of time-averaged wind directions, a redundant and potentially biasing procedure for a technique capable of detecting changes in mean wind directions. The new technique, MSATv2, satisfies two basic expectations that are not guaranteed in MSATv1: 1) a nonstationary event should not belong to any stationary interval identified with a given stringency, and 2) nonstationary events identified with an arbitrary stringency should continue to be identified as nonstationary with increasing stringency. These expectations are confirmed by applying MSATv2 to two long periods, during the defoliated phase of the Canopy Horizontal Array Turbulence Study (CHATS), whose durations are determined solely by data availability. MSATv2 successfully determines visually trivial and nontrivial nonstationary transitions, uncovering details of the time evolution of dynamic processes. MSATv2 yields ensemble-average estimates of mean wind speeds and directions with well-controlled and quantifiable uncertainties for atmospheric stability conditions ranging from near neutral to free convection. These results enable interrogation of the observed canopy turbulence response to atmospheric stability in isolation from contamination by spatial variation with position relative to canopy elements. MSATv2 results also reveal the connection between the presence of organized convective structures and variability in mean shear, showing the role of organized convective structures in the observed relationship between the bulk drag coefficient and atmospheric instability.
AB - A recently proposed multisensor stationarity analysis technique (MSATv1) is improved to eliminate the initial interrogation of time-averaged wind directions, a redundant and potentially biasing procedure for a technique capable of detecting changes in mean wind directions. The new technique, MSATv2, satisfies two basic expectations that are not guaranteed in MSATv1: 1) a nonstationary event should not belong to any stationary interval identified with a given stringency, and 2) nonstationary events identified with an arbitrary stringency should continue to be identified as nonstationary with increasing stringency. These expectations are confirmed by applying MSATv2 to two long periods, during the defoliated phase of the Canopy Horizontal Array Turbulence Study (CHATS), whose durations are determined solely by data availability. MSATv2 successfully determines visually trivial and nontrivial nonstationary transitions, uncovering details of the time evolution of dynamic processes. MSATv2 yields ensemble-average estimates of mean wind speeds and directions with well-controlled and quantifiable uncertainties for atmospheric stability conditions ranging from near neutral to free convection. These results enable interrogation of the observed canopy turbulence response to atmospheric stability in isolation from contamination by spatial variation with position relative to canopy elements. MSATv2 results also reveal the connection between the presence of organized convective structures and variability in mean shear, showing the role of organized convective structures in the observed relationship between the bulk drag coefficient and atmospheric instability.
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U2 - 10.1175/JTECH-D-19-0135.1
DO - 10.1175/JTECH-D-19-0135.1
M3 - Article
AN - SCOPUS:85084929361
SN - 0739-0572
VL - 37
SP - 665
EP - 685
JO - Journal of Atmospheric and Oceanic Technology
JF - Journal of Atmospheric and Oceanic Technology
IS - 4
ER -