Precipitation in the Olympic Peninsula of Washington State

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Precipitation in the Olympic Peninsula of Washington State Robert Houze and Socorro Medina Department

Precipitation in the Olympic Peninsula of Washington State Robert Houze and Socorro Medina Department of Atmospheric Sciences University of Washington Cold-Season Algorithm GV meeting, Fort Collins, 9 Nov 2009

The Olympic Peninsula is a natural “precipitation laboratory” • Persistent southwesterly flow during the

The Olympic Peninsula is a natural “precipitation laboratory” • Persistent southwesterly flow during the winter provides a reliable source of moisture • Extremely large precipitation accumulation produced as the moist SWly flow impinges on coastal terrain • Low 0ºC level rain at low elevations, snow at higher levels

The Olympic Peninsula is a natural “precipitation laboratory” • Persistent southwesterly flow during the

The Olympic Peninsula is a natural “precipitation laboratory” • Persistent southwesterly flow during the winter provides a reliable source of moisture NCEP long-term mean sea level pressure (mb) for winter (December to January) and topography

The Olympic Peninsula is a natural “precipitation laboratory” • Extremely large precipitation accumulation produced

The Olympic Peninsula is a natural “precipitation laboratory” • Extremely large precipitation accumulation produced as the moist SWly flow impinges on coastal terrain Maximum Annual average precipitation (PRISM)

The Olympic Peninsula is a natural “precipitation laboratory” Frequency of occurrence • Low 0ºC

The Olympic Peninsula is a natural “precipitation laboratory” Frequency of occurrence • Low 0ºC level rain at low elevations, snow at higher ones Distribution of Nov-Jan 0°C level for flow that is onshore and moist at low levels (KUIL sounding) Mean 0°C level during storms = 1. 5 km See this full range in individual storms! 0°C level Plot provided by Justin Minder

Resources and experience in the region • 1965 -2000: Cascade Project, CYCLES, COAST •

Resources and experience in the region • 1965 -2000: Cascade Project, CYCLES, COAST • 2001: IMPROVE field experiment • 2004 -2008: Detailed observing network across a southwestern Olympics ridge • 2009: NOAA Mobile Atmospheric River Monitoring System in Westport • 2012: NWS Coastal radar expected to be in place • Ongoing: Regional Environmental Prediction

Resources and experience in the region • 2001: IMPROVE field experiment (Stoelinga et al.

Resources and experience in the region • 2001: IMPROVE field experiment (Stoelinga et al. 2003) Coastline

Resources and experience in the region • 2004 -2008: Detailed observing network across a

Resources and experience in the region • 2004 -2008: Detailed observing network across a southwestern Olympics ridge (Minder et al. 2008) Detailed gauge network SNOTEL RAWS sites COOP site Anemometers Disdrometers

Resources and experience in the region • 2009: NOAA Mobile Atmospheric River Monitoring System

Resources and experience in the region • 2009: NOAA Mobile Atmospheric River Monitoring System in Westport Data from vertically-pointing S-band radar Height Signal-tonoise ratio Height Radial velocity Time

Resources and experience in the region • 2012: NWS Coastal radar expected to be

Resources and experience in the region • 2012: NWS Coastal radar expected to be in place Dark gray areas indicate regions where the 0. 5° elevation scans are blocked Current radar coverage Radar coverage with coastal radar Example of Olympic Mountain slopes views from coastal radar

Resources and experience in the region • Ongoing: Regional Environmental Prediction-WRF, hydrology, air quality,

Resources and experience in the region • Ongoing: Regional Environmental Prediction-WRF, hydrology, air quality, etc (Mass et al. 2003) Real-time mesoscale numerical simulations dx = 36 km dx = 4 km

Resources and experience in the region • Ongoing: Regional Environmental Prediction-WRF, hydrology, air quality,

Resources and experience in the region • Ongoing: Regional Environmental Prediction-WRF, hydrology, air quality, etc (Mass et al. 2003) Real-time simulations with 1. 33 km spatial resolution will be available shortly!

Resources and experience in the region • Ongoing: Regional Environmental Prediction-WRF, hydrology, air quality,

Resources and experience in the region • Ongoing: Regional Environmental Prediction-WRF, hydrology, air quality, etc (Mass et al. 2003) Long period of continuous mesoscale simulations provides model climatology e. g. , 5 -yr MM 5 Nov-Jan precipitation climatology (mm) Verified by gauges: Minder et al. 2008

Resources and experience in the region • Ongoing: Regional Environmental Prediction-WRF, hydrology, air quality,

Resources and experience in the region • Ongoing: Regional Environmental Prediction-WRF, hydrology, air quality, etc (Mass et al. 2003) Ensemble forecasting probabilistic information e. g. , probability that the precipitation accumulated in a 3 h period > 0. 1 in

Resources and experience in the region • Ongoing: Regional Environmental Prediction-WRF, hydrology, air quality,

Resources and experience in the region • Ongoing: Regional Environmental Prediction-WRF, hydrology, air quality, etc (Mass et al. 2003) Hydrological prediction: Mesoscale numerical output drives a distributed hydrological model basin streamflow forecast

Possible field experiment configuration Coastal Radar NPOL would have an unimpeded view of the

Possible field experiment configuration Coastal Radar NPOL would have an unimpeded view of the Quinault valley and the Olympic mountains

Conclusions • The Olympic Peninsula is an ideal natural precipitation laboratory given: – Persistence

Conclusions • The Olympic Peninsula is an ideal natural precipitation laboratory given: – Persistence of moist flow, complex terrain, huge precipitation amounts, and low 0°C level • The existing and planned resources and the past experience in this region provide a strong framework for a field campaign

Acknowledgment This research was supported by NASA grant NNX 07 AD 59 G and

Acknowledgment This research was supported by NASA grant NNX 07 AD 59 G and NSF grant ATM-08205586