NAMEHYDROMETEOROLOGICALWORKINGGROUP
Coordinated Modeling Activities
Hydroclimatic Linkages in NAME
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
( Shuttleworth, Gochis and Nijssen )
Hydroclimatic Linkages in NAME
( Shuttleworth, Gochis and Nijssen )
Exploratory Work on Teleconnections between SST and Soil Moisture
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 º resolution (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.
( Lettenmaier, Cavazos and Zhu )
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 )
Introducing SST PCs benefits long-time lead predictability (of June soil moisture), but no significant benefits for less than 6-month lead time predictability.
SST and Persistence
Persistence
Soil Moisture Predictions: SST & Persistence vs. Persistence Only
( Lettenmaier, Cavazos and Zhu )
Hydrological Operations in NAME( CNA, NWS )
Implementation of River Forecast Systems
Hydrological Operations in NAME( CNA, NWS )
Flood Inundation Mapping
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
Hydroclimatic Observing Network
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
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