NAME HYDROMETEOROLOGICAL WORKING GROUP

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NAMEHYDROMETEOROLOGICALWORKINGGROUP

• Coordinated Modeling Activities

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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
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Hydroclimatic Linkages in NAME
( Shuttleworth, Gochis and Nijssen )
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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 º resolution (The ocean
domain is chosen according to the Bin Yu and J.M.
Wallaces 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.
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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 )
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Introducing SST PCs benefits long-time lead
predictability (of June soil moisture), but no
significant benefits for less than 6-month lead
time predictability.
Soil Moisture Predictions SST Persistence vs.
Persistence Only
( Lettenmaier, Cavazos and Zhu )
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Hydrological Operations in NAME
( CNA, NWS )
Implementation of River Forecast Systems
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Hydrological Operations in NAME
( CNA, NWS )
Flood Inundation Mapping
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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

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Hydroclimatic Observing Network
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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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THE END . Thank You!