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NAME HYDROMETEOROLOGICAL WORKING GROUP

NAME HYDROMETEOROLOGICAL WORKING GROUP. Coordinated Modeling Activities. Hydroclimatic Linkages in NAME. ( Shuttleworth, Gochis and Nijssen ). Precipitation Analyses. Streamflow Analyses. Regionalization Temporal disaggregation Merged radar products Statistically consistent

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NAME HYDROMETEOROLOGICAL WORKING GROUP

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  1. NAMEHYDROMETEOROLOGICALWORKINGGROUP Coordinated Modeling Activities

  2. Hydroclimatic Linkages in NAME ( Shuttleworth, Gochis and Nijssen ) Precipitation Analyses Streamflow Analyses • Regionalization • Temporal disaggregation • Merged radar products • Statistically consistent • downscaled climate • forecasts ( and distributed • precipitation products) • Regionalization • Assess hydrologic • response to precipitation • characteristics • Physically-based • hydrological model • development Enable downscaled seasonal hydrological forecasts

  3. Hydroclimatic Linkages in NAME ( Shuttleworth, Gochis and Nijssen )

  4. Exploratory Work on Teleconnections between SST and Soil Moisture ( Lettenmaier, Cavazos and Zhu ) Sea surface temperature:Extended Reconstruction of Global Sea Surface Temperature data set based on COADS data. (1847-1997) developed by T.M. Smith and R.W. Reynolds, NCDC. The original data resolution is 2º longitude, 2 º latitude. It was interpolated into 0.5 ºresolution (The ocean domain is chosen according to the Bin Yu and J.M. Wallace’s paper, 2000, J. Climate, 13, 2794-2800) Soil Moisture:VIC retrospective land surface dataset (1950-1997). The original data with 1/8 degree resolution is aggregated into 0.5 º resolution.

  5. Soil Moisture Predictability by Persistence and SST PCs The highest variance explained is more than 90%. For June, over 40% of the variance is explained over most of the study domain, including Mexico. ( Lettenmaier, Cavazos and Zhu )

  6. SST and Persistence Persistence Soil Moisture Predictions: SST & Persistence vs. Persistence Only Introducing SST PCs benefits long-time lead predictability (of June soil moisture), but no significant benefits for less than 6-month lead time predictability. ( Lettenmaier, Cavazos and Zhu )

  7. Hydrological Operations in NAME ( CNA, NWS ) Implementation of River Forecast Systems

  8. Hydrological Operations in NAME ( CNA, NWS ) Flood Inundation Mapping

  9. Satellite-Based Precipitation Estimation ( CNA, NWS ) • Satellite Precipitation Estimates Available From Two Sources and in Two Formats • Auto-Estimator (U.S.) • EpprepMex (Mexico) • Animated Hourly Precipitation Est. (Meteor.) • Gridded Precipitation Data (Hydrologists) • Technique Developed for Bias Correction for Mexico

  10. Hydroclimatic Observing Network

  11. Ongoing and EOP 2004 Activities ( various participants ) • Ingest and archive available streamflow data into the NAME data archive • Continue development of land-surface and hydrographic datasets • Perform additional service and download of the NAME event network during the field campaign • Project Office: Coordinate “non-standard”, gage-based precipitation analyses in core region

  12. THE END …. Thank You!

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