Multiscale Interactions Contributing to Enhanced Orographic Precipitation in Landfalling Frontal Systems over the Olympic Peninsula

Brenda Dolan aDepartment of Atmospheric Science, Colorado State University, Fort Collins, Colorado

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Steven A. Rutledge aDepartment of Atmospheric Science, Colorado State University, Fort Collins, Colorado

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Kristen L. Rasmussen aDepartment of Atmospheric Science, Colorado State University, Fort Collins, Colorado

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Abstract

Orographic precipitation results from complex interactions between terrain, large-scale flow, turbulent motions, and microphysical processes. This study appeals to polarimetric radar data in conjunction with surface-based disdrometer observations, airborne particle probes, and reanalysis data to study these processes and their interactions as observed during the Olympic Mountain Experiment (OLYMPEX). Radar and disdrometer observations from OLYMPEX, which was conducted over the Olympic Peninsula in the winter of 2015, revealed 3 times as much rain fell over elevated sites compared to those along the ocean and coast. Several events were marked by significant water vapor transport and strong onshore flow. Detailed analysis of four cases demonstrated that the warm sector, which previous authors noted to be a period of strong orographic enhancement over the terrain, is associated not only with deeper warm cloud regions, but also deeper cold cloud regions, with the latter supporting the growth of dendritic ice crystals between 4 and 6 km. This dendritic growth promotes enhanced aggregation just above the melting layer, which then seeds the warm cloud layer below, allowing additional drop growth via coalescence. Periods of subsynoptic variability associated with mesoscale boundaries and low-level jets are shown to locally modify both the ice microphysics as well as surface drop-size distributions. This study explores the spatial and temporal variability of precipitation, cloud microphysics, and their relationship over the complex terrain of the Olympic Peninsula.

Significance Statement

This study appeals to polarimetric radar, aircraft particle probes, disdrometer data, and reanalysis to investigate the complex interactions between large frontal systems, terrain, and microphysical processes contributing to precipitation characteristics at the surface over the Olympic Peninsula. The study finds that the precipitation is a complex function of the synoptic regime, distance inland, and terrain height. Ice microphysical processes aloft act to modulate the surface rain drop size distributions, and are more important in contributing to higher rain accumulations inland during the later phases of the warm sector, particularly over the middle terrain heights (100–500 m).

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

This article is included in the The Olympic Mountains Experiment (OLYMPEX) Special Collection.

Corresponding author: Brenda Dolan, bdolan@colostate.edu

Abstract

Orographic precipitation results from complex interactions between terrain, large-scale flow, turbulent motions, and microphysical processes. This study appeals to polarimetric radar data in conjunction with surface-based disdrometer observations, airborne particle probes, and reanalysis data to study these processes and their interactions as observed during the Olympic Mountain Experiment (OLYMPEX). Radar and disdrometer observations from OLYMPEX, which was conducted over the Olympic Peninsula in the winter of 2015, revealed 3 times as much rain fell over elevated sites compared to those along the ocean and coast. Several events were marked by significant water vapor transport and strong onshore flow. Detailed analysis of four cases demonstrated that the warm sector, which previous authors noted to be a period of strong orographic enhancement over the terrain, is associated not only with deeper warm cloud regions, but also deeper cold cloud regions, with the latter supporting the growth of dendritic ice crystals between 4 and 6 km. This dendritic growth promotes enhanced aggregation just above the melting layer, which then seeds the warm cloud layer below, allowing additional drop growth via coalescence. Periods of subsynoptic variability associated with mesoscale boundaries and low-level jets are shown to locally modify both the ice microphysics as well as surface drop-size distributions. This study explores the spatial and temporal variability of precipitation, cloud microphysics, and their relationship over the complex terrain of the Olympic Peninsula.

Significance Statement

This study appeals to polarimetric radar, aircraft particle probes, disdrometer data, and reanalysis to investigate the complex interactions between large frontal systems, terrain, and microphysical processes contributing to precipitation characteristics at the surface over the Olympic Peninsula. The study finds that the precipitation is a complex function of the synoptic regime, distance inland, and terrain height. Ice microphysical processes aloft act to modulate the surface rain drop size distributions, and are more important in contributing to higher rain accumulations inland during the later phases of the warm sector, particularly over the middle terrain heights (100–500 m).

© 2022 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

This article is included in the The Olympic Mountains Experiment (OLYMPEX) Special Collection.

Corresponding author: Brenda Dolan, bdolan@colostate.edu

Supplementary Materials

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  • Barnes, H. C., J. P. Zagrodnik, L. A. McMurdie, A. K. Rowe, and R. A. Houze Jr., 2018: Kelvin–Helmholtz waves in precipitating midlatitude cyclones. J. Atmos. Sci., 75, 27632785, https://doi.org/10.1175/JAS-D-17-0365.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brandes, E. A., G. Zhang, and J. Vivekanandan, 2002: Experiments in rainfall estimation with a polarimetric radar in a subtropical environment. J. Appl. Meteor., 41, 674685, https://doi.org/10.1175/1520-0450(2002)041<0674:EIREWA>2.0.CO;2; Corrigendum, 44, 186, https://doi.org/10.1175/1520-0450(2005)44<186:C>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Chen, H., V. Chandrasekar, and R. Bechini, 2017: An improved dual-polarization radar rainfall algorithm (DROPS2.0): Application in NASA IFloodS field campaign. J. Hydrometeor., 18, 917937, https://doi.org/10.1175/JHM-D-16-0124.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Cifelli, R., V. Chandrasekar, S. Lim, P. C. Kennedy, Y. Wang, and S. A. Rutledge, 2011: A new dual-polarization radar rainfall algorithm: Application in Colorado precipitation events. J. Atmos. Oceanic Technol., 28, 352364, https://doi.org/10.1175/2010JTECHA1488.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Conrick, R., and C. F. Mass, 2019: An evaluation of simulated precipitation characteristics during OLYMPEX. J. Hydrometeor., 20, 11471164, https://doi.org/10.1175/JHM-D-18-0144.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • DeLaFrance, A., L. McMurdie, and A. Rowe, 2021: Orographically modified ice-phase precipitation processes during the Olympic Mountains Experiment (OLYMPEX). J. Atmos. Sci., 78, 38153833, https://doi.org/10.1175/JAS-D-21-0091.1.

    • Search Google Scholar
    • Export Citation
  • Delene, D., 2017: GPM ground validation UND citation navigation data OLYMPEX V1. NASA EOSDIS Global Hydrology Resource Center Distributed Active Archive Center, accessed 30 March 2021, https://doi.org/10.5067/GPMGV/OLYMPEX/NAV/DATA101.

    • Search Google Scholar
    • Export Citation
  • Doviak, R. J., and D. S. Zrnić, 2006: Doppler Radar and Weather Observations. 2nd ed. Dover Publications, 592 pp.

  • Friedrich, K., S. Higgins, F. J. Masters, and C. R. Lopez, 2013: Articulating and stationary PARSIVEL disdrometer measurements in conditions with strong winds and heavy rainfall. J. Atmos. Oceanic Technol., 30, 20632080, https://doi.org/10.1175/JTECH-D-12-00254.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Gao, Y., J. Lu, L. R. Leung, Q. Yang, S. Hagos, and Y. Qian, 2015: Dynamical and thermodynamical modulations on future changes of landfalling atmospheric rivers over western North America. Geophys. Res. Lett., 42, 71797186, https://doi.org/10.1002/2015GL065435.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Giangrande, S. E., J. M. Krause, and A. V. Ryzhkov, 2008: Automatic designation of the melting layer with a polarimetric prototype of the WSR-88D radar. J. Appl. Meteor. Climatol., 47, 13541364, https://doi.org/10.1175/2007JAMC1634.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Heymsfield, A., A. Bansemer, and M. Poellot, 2017: GPM ground validation NCAR particle probes OLYMPEX V1. NASA EOSDIS Global Hydrology Resource Center Distributed Active Archive Center, accessed 31 March 2021, https://doi.org/10.5067/GPMGV/OLYMPEX/PROBES/DATA201.

    • Search Google Scholar
    • Export Citation
  • Houze, R. A., Jr., and S. Medina, 2005: Turbulence as a mechanism for orographic precipitation enhancement. J. Atmos. Sci., 62, 35993623, https://doi.org/10.1175/JAS3555.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Houze, R. A., Jr., and Coauthors, 2017: The Olympic Mountains Experiment (OLYMPEX). Bull. Amer. Meteor. Soc., 98, 21672188, https://doi.org/10.1175/BAMS-D-16-0182.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Jackson, R., and Coauthors, 2021: The applicability of specific attenuation based rainfall rate retrievals in the tropics. Atmos. Meas. Tech., 14, 5369, https://doi.org/10.5194/amt-14-53-2021.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kennedy, P. C., and S. A. Rutledge, 2011: S-band dual-polarization radar observations of winter storms. J. Appl. Meteor. Climatol., 50, 844858, https://doi.org/10.1175/2010JAMC2558.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kumjian, M. R., and O. Prat, 2014: The impact of raindrop collisional processes on the polarimetric radar variables. J. Atmos. Sci., 71, 30523067, https://doi.org/10.1175/JAS-D-13-0357.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lang, T. J., S. W. Nesbitt, and L. D. Carey, 2009: On the correction of partial beam blockage in polarimetric radar data. J. Atmos. Oceanic Technol., 26, 943957, https://doi.org/10.1175/2008JTECHA1133.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Mass, C. F., and G. K. Ferber, 1990: Surface pressure perturbations produced by an isolated mesoscale topographic barrier. Part I: General characteristics and dynamics. Mon. Wea. Rev., 118, 25792596, https://doi.org/10.1175/1520-0493(1990)118<2579:SPPPBA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • McMurdie, L. A., A. K. Rowe, R. A. Houze Jr., S. R. Brodzik, J. P. Zagrodnik, and T. M. Schuldt, 2018: Terrain‐enhanced precipitation processes above the melting layer: Results from OLYMPEX. J. Geophys. Res. Atmos., 123, 12194, https://doi.org/10.1029/2018JD029161.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Minder, J. R., and D. E. Kingsmill, 2013: Mesoscale variations of the atmospheric snow line over the northern Sierra Nevada: Multiyear statistics, case study, and mechanisms. J. Atmos. Sci., 70, 916938, https://doi.org/10.1175/JAS-D-12-0194.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Naeger, A. R., B. A. Colle, N. Zhou, and A. Molthan, 2020: Evaluating warm and cold rain processes in cloud microphysical schemes using OLYMPEX field measurements. Mon. Wea. Rev., 148, 21632190, https://doi.org/10.1175/MWR-D-19-0092.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Parsons, D. B., and P. V. Hobbs, 1983: The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones. XI: Comparisons between observational and theoretical aspects of rainbands. J. Atmos. Sci., 40, 23772398, https://doi.org/10.1175/1520-0469(1983)040<2377:TMAMSA>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Petersen, W. A., A. Tokay, P. N Gatlin, and M. T. Wingo, 2017: GPM Ground Validation Autonomous Parsivel Unit (APU) OLYMPEX V1. NASA Global Hydrometeorology Resource Center DAAC, accessed 13 June 2016, https://doi.org/10.5067/GPMGV/OLYMPEX/APU/DATA301.

    • Search Google Scholar
    • Export Citation
  • Poellot, M. R., A. Heymsfield, and A. Bansemer, 2017: GPM ground validation UND citation cloud microphysics OLYMPEX V1. NASA EOSDIS Global Hydrology Resource Center Distributed Active Archive Center, accessed 5 March 2021, https://doi.org/10.5067/GPMGV/OLYMPEX/MULTIPLE/DATA201.

    • Search Google Scholar
    • Export Citation
  • Porcacchia, L., P. E. Kirstetter, J. J. Gourley, V. Maggioni, B. L. Cheong, and M. N. Anagnostou, 2017: Toward a polarimetric radar classification scheme for coalescence-dominant precipitation: Application to complex terrain. J. Hydrometeor., 18, 31993215, https://doi.org/10.1175/JHM-D-17-0016.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Pruppacher, H. R., and J. D. Klett, 1997: Microphysics of Clouds and Precipitation. 2nd ed. Kluwer Academic Publishers, 954 pp.

  • Purnell, D. J., and D. J. Kirshbaum, 2018: Synoptic control over orographic precipitation distributions during the Olympics Mountains Experiment (OLYMPEX). Mon. Wea. Rev., 146, 10231044, https://doi.org/10.1175/MWR-D-17-0267.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rutledge, S. A., V. Chandrasekar, B. Fuchs, J. George, F. Junyent, B. Dolan, P. C. Kennedy, and K. Drushka, 2019: SEA-POL goes to sea. Bull. Amer. Meteor. Soc., 100, 22852301, https://doi.org/10.1175/BAMS-D-18-0233.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Siler, N., G. Roe, and D. Durran, 2013: On the dynamical causes of variability in the rain-shadow effect: A case study of the Washington Cascades. J. Hydrometeor., 14, 122139, https://doi.org/10.1175/JHM-D-12-045.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Thériault, J. M., R. E. Stewart, J. A. Milbrandt, and M. K. Yau, 2006: On the simulation of winter precipitation types. J. Geophys. Res., 111, D18202, https://doi.org/10.1029/2005JD006665.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Thériault, J. M., J. A. Milbrandt, J. Doyle, J. R. Minder, G. Thompson, N. Sarkadi, and I. Geresdi, 2015: Impact of melting snow on the valley flow field and precipitation phase transition. Atmos. Res., 156, 111124, https://doi.org/10.1016/j.atmosres.2014.12.006.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Thompson, E. J., S. A. Rutledge, B. Dolan, V. Chandrasekar, and B. L. Cheong, 2014: Development of a polarimetric radar hydrometeor classification algorithm for winter precipitation. J. Atmos. Oceanic Technol., 31, 14571481, https://doi.org/10.1175/JTECH-D-13-00119.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ulbrich, C. W., 1983: Natural variations in the analytical form of the raindrop size distribution. J. Climate Appl. Meteor., 22, 17641775, https://doi.org/10.1175/1520-0450(1983)022<1764:NVITAF>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Willis, P. T., 1984: Functional fits to some observed drop size distributions and parameterization of rain. J. Atmos. Sci., 41, 16481661, https://doi.org/10.1175/1520-0469(1984)041<1648:FFTSOD>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wolff, D., D. Marks, W. A. Petersen, and J. Pippitt, 2017: GPM ground validation NASA S-band dual polarimetric (NPOL) Doppler radar OLYMPEX V2. NASA EOSDIS Global Hydrology Resource Center Distributed Active Archive Center, accessed 8 November 2016, https://doi.org/10.5067/GPMGV/OLYMPEX/NPOL/DATA301.

    • Search Google Scholar
    • Export Citation
  • Zagrodnik, J. P., L. A. McMurdie, and R. A. Houze Jr., 2018: Stratiform precipitation processes in cyclones passing over a coastal mountain range. J. Atmos. Sci., 75, 9831004, https://doi.org/10.1175/JAS-D-17-0168.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zagrodnik, J. P., L. McMuride, and R. Conrick, 2021: Microphysical enhancement processes within stratiform precipitation on the barrier and sub-barrier scale of the Olympic Mountains. Mon. Wea. Rev., 149, 503520, https://doi.org/10.1175/MWR-D-20-0164.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
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