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Water Vapor Profiles: Evaluating COSMIC Capabilities and Limitations Related to Climate Needs

Water Vapor Profiles: Evaluating COSMIC Capabilities and Limitations Related to Climate Needs. Marty Ralph 1 , Dian Seidel 2 , Gary Wick 1 1 NOAA/OAR/Earth System Research Laboratory 2 NOAA/OAR/Air Resources Laboratory 22 January 2008, New Orleans.

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Water Vapor Profiles: Evaluating COSMIC Capabilities and Limitations Related to Climate Needs

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  1. Water Vapor Profiles:Evaluating COSMIC Capabilities and Limitations Related to Climate Needs Marty Ralph1, Dian Seidel2, Gary Wick1 1NOAA/OAR/Earth System Research Laboratory 2NOAA/OAR/Air Resources Laboratory 22 January 2008, New Orleans

  2. Water Vapor: A critical variable for Climate • Role as a potent greenhouse gas • Trend detection • Reference atmospheric profiling • Role and trends in global water cycle • Extreme events (floods and droughts) • Mean annual precipitation • Part of forcing for hydrology • Water supply • Ecosystems • Role in earth’s albedo via clouds and aerosols • Impacts on global temperature

  3. Climate issues that COSMIC might address (not an exhaustive list) Reference Atmospheric Profile Observations: need for highly accurate, long-term upper-air temperature and humidity (separable from each other) profiles, from the surface through the lower stratosphere (or even higher) GCOS reference upper-air network (GRUAN) has noted the promising potential of GPS/RO methods to make an important (but still not fully demonstrated???) contribution UTLS (upper troposphere/lower stratosphere) Water Vapor: radiative effects of UTLS WV cloud microphysical processes WV feedback processes  Tropopause Structure and Variability: Strat/trop coupling and exchange Multiple tropopause structures Tropopause as a climate change indicator

  4. Selected technical assessments are needed • Much of existing work explores ability of COSMIC to help with correction for inter-satellite biases • Need to assess the precision and stability of COSMIC water vapor and temperature profiles in the lowest few kilometers • (Still seems to be concerns about the accuracy of COSMIC at the lowest levels – can COSMIC consistently provide the required accuracy over time?) • Confirm there is not a significant dependence on model profiles used to initialize the retrieval • Provides motivation for a comparison of COSMIC soundings and dropsondes • With necessary precision, it would be possible (in future) to evaluate small changes in the distribution of water vapor in the atmosphere

  5. Water Vapor: A critical variable for Climate • Trends detected in vertically integrated water vapor • Tropical broadening • Water vapor transport and atmospheric rivers • Reducing uncertainty in climate change projections • Downscaling to watershed scales

  6. An exampleRegarding the Water CycleExtreme events and the role of Atmospheric rivers

  7. Climate Change projections for extreme rainfall IPCC model runs show evidence of increased extreme rainfall in west coast of North America at mid latitudes (Hegerl et al. 2004, J. Clim.)Change in wettest day of the year by time of CO2 doubling in two models. Color scale shows %change over present-day value. Values are plotted only if statistically significant.

  8. ECMWF Model diagnostic study by Zhu & Newell 1998 (MWR) river is 95% of total flux 35S 35N river <10% of zonal circumference

  9. Enhanced vapor flux in Atmos. river 400 km • Observational studies by Ralph et al. (2004, 2005, 2006) extend model results: • Long, narrow plumes of IWV >2 cm measured by SSM/I satellites considered proxies for ARs. • These plumes are typically situated near the leading edge of polar cold fronts. • P-3 aircraft documented strong water vapor flux in a narrow (400 km-wide) AR (along AA’). • Airborne data also showed 75% of the vapor flux was below 2.5 km MSL. • Moist-neutral stratification <2.8 km MSL, conducive to orographic precip. boost & floods.

  10. Rain >10 mm/h: >12.5 m/s; >2 cm

  11. SSM/I satellite image shows • atmospheric river • Stream gauge data show • regional extent of high stream flow • (roughly 500 km of coast) Ralph et al. (2006), Geophys. Res. Lett.

  12. Four winters of data recorded at CZD (NW of San Francisco) between 2001 – 2006. • 9548 points of hourly data, with 1853 hours of rainfall totaling 4217 mm. • IWV plumes >2 cm tagged by SSM/I satellites. • GPS IWV >2 cm at BBY for at least 8 consecutive hours. • Wind speed >13 m s-1 (~25 kts) at controlling layer (850-1150 m MSL) at BBY. • 31 Atmospheric rivers produced 44% of the observed rainfall. 4217 mm 1859mm (44% of 4-winter rainfall)

  13. Key Question Addressed Recently • How well does COSMIC occultation data represent water vapor profile information? • Recent studies in the Pacific indicate COSMIC adds information over the model first guesses used in the retrievals (see Neiman et al. presentation this Wed AM in IOAS conference)

  14. COSMIC-Derived Cross Section of an Atmospheric River Tropopause Reverse thermal gradient - LLJ Tradewind inversion Polar cold front Atmospheric river • 12 COSMIC soundings used to construct X-section along NW-SE axis through the AR • The COSMIC soundings yield cross-sectional thermodynamic structures comparable in character and detail to previous aircraft-based dropsonde surveys. From Neiman et al., Diagnosis of an Intense Atmospheric River Impacting the Pacific Northwest: Storm Summary and Offshore Vertical Structure Observed with COSMIC Satellite Retrievals, submitted to MWR, 2008.

  15. 75% of vapor flux below 2.5 km in ARs COSMIC Data Impact on Soundings of an Atmospheric River • 12 soundings transecting an atmospheric river were composited • Differences between COSMIC soundings initialized with GFS and ECMWF models were compared with initial model differences • In lowest 2.5 km MSL (i.e., where ¾ of vapor flux occurs in ARs), the COSMIC solutions converge relative to their model counterparts... especially the moisture • Results show that COSMIC-based water vapor profiles are an improved representation of the true water vapor profile in this atmospheric river environment where these distributions are critical. From Neiman et al., Diagnosis of an Intense Atmospheric River Impacting the Pacific Northwest: Storm Summary and Offshore Vertical Structure Observed with COSMIC Satellite Retrievals, submitted to MWR, 2008.

  16. Major Gaps Associated with the Global Water Cycle • Vertical profiles of water vapor with global spatial coverage, and good temporal resolution • The boundary layer contains the most water vapor, but satellite sounders typically perform poorly at low-altitudes • Water vapor transport is not monitored well (and not at all in remote areas), and yet will likely change in a changing climate; water vapor profiles are a key to this • Downscaling of climate projections involving the water cycle will require accurate reanalysis data with documented uncertainties

  17. Rich structure in IWV! • But, what is the vertical structure?

  18. PW estimated from COSMIC GPS RO data

  19. Punch Line • Water vapor profile information is needed for a variety of questions, especially regarding the water cycle • COSMIC is showing some promise on this, and should be explored

  20. Comparison of PW data from COSMIC and global analyses PW derived from NCEP or ECMWF analyses PW retrieved from COSMIC GPS RO data using NCEP or ECMWF analysis as first guess From: Wee and Kuo (2008)

  21. Comparison of SSM/I and COSMIC Retrievals of Integrated Water Vapor • COSMIC and SSM/I retrievals of IWV collocated for 2 months in the Eastern Pacific • COSMIC data exhibits strong overall agreement with 4 different SSM/I IWV retrieval algorithms • Results suggest COSMIC-derived IWV retrievals are a valuable new validation source for SSM/I IWV products From Wick et al., Intercomparison of Integrated Water Vapor Retrievals from SSM/I and COSMIC, submitted to GRL, 2007.

  22. Dependences of SSM/I and COSMIC IWV Differences Latitude Cloud Liquid Water • Differences found to depend on position, cloud liquid water content, precipitation, and resolution • Results suggest new methodology for quantifying uncertainty in IWV retrievals based on coincident environmental parameters From Wick et al., Intercomparison of Integrated Water Vapor Retrievals from SSM/I and COSMIC, submitted to GRL, 2007.

  23. 24 Mar 05 South Fork & Astoria, OR HAWAII NOAA P-3 campaign: Mar-Apr 2005 *A composite of descending (p.m.) SSMI satellite overpasses on three consecutive days. *NOAA P-3 observations were made through a developing atmos. river on two consecutive days just prior to flooding rains hit the drought-stricken Pacific NW *NOAA/ETL wind profiler at Astoria, OR recorded 70-kt LLJ within the atmos. river on 26 March *Nearby rain gage recorded 7.5 inches of rain during the atmos. river event NW SE 25 Mar 05 26 Mar 05 Flooding rains mitigate drought Integrated water vapor (cm)

  24. Strong southerly component to the flow in area of large water vapor content indicates entrainment of tropical water vapor into Atmos River IWV and horizontal water Vapor transport are well correlated

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