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