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The NOAA Hydrology Program and its requirements for GOES-R

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The NOAA Hydrology Program and its requirements for GOES-R Pedro J. Restrepo Senior Scientist Office of Hydrologic Development NOAA s National Weather Service – PowerPoint PPT presentation

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Title: The NOAA Hydrology Program and its requirements for GOES-R


1
The NOAA Hydrology Program and its requirements
for GOES-R
  • Pedro J. Restrepo
  • Senior Scientist
  • Office of Hydrologic Development
  • NOAAs National Weather Service

2
Contents
  • NOAAs Hydrology Program
  • Program Description
  • Where is the Hydrology Program going
  • Observation Requirements

3
Hydrologic Time and Space Scales
4
NWS Hydrologic Service Delivery
National--NCEP
Forecast Points-WFO
Major River Basin-RFC
5
NWS River Forecast System
Ensemble Streamflow

Calibration System (CS)

Prediction (ESP) System
Calibration (Hydrologic and Hydraulic
Models)
Analysis window
Analysis

Hydrologic
Historical
and
Data
Hydraulic
Models
flow
time
Operational Forecast System (OFS)
Hydrologic and
Real-Time Observed and Forecast Data
Statistical
Hydraulic Models
Analysis and Data Assimilation
Analyses
short term
forecasts
Probabilistic Short term to Extended
current states
Interactive
Forecast
Interactive
Program (IFP)
Adjustments
6
Conceptual Catchment Representation
Rainfall
Evapo- transpiration
Infiltration
Fast flow
Soil moisture storage
Slow flow
Percolation
Base flow
Groundwater storage
Total flow
7
Hydrologic Applications of Satellite Data
  • Multi-sensor precipitation estimates
  • Freezing level and potential evaporation
    observations and forecasts
  • Data assimilation
  • Temperature and precipitation forecast grids for
    use with distributed models
  • Land surface input variables for atmospheric and
    hydrologic models
  • Snow cover and snow water equivalent

8
Hydrologic Modeling Approaches
Lumped
Distributed (high resolution)
  1. Rainfall and soil properties averaged over basin
  2. One rainfall/runoff model
  3. Prediction at only one point
  1. Rainfall and soil properties in each grid/polygon
  2. Rainfall/runoff model in each grid/polygon
  3. Prediction at many points
  4. New forecast information such as soil moisture
    and evaporation

9
NOAAs Hydrology Programwhere is it going?
  • High-resolution distributed hydrologic modeling
  • High resolution observations of precipitation,
    temperature, snow cover, snow water equivalent,
    soil moisture.
  • Hydraulic models
  • High resolution observations of river and
    reservoir/lake stage.
  • Community Hydrologic Modeling System
  • Mud slide models
  • High resolution observations of precipitation,
    soil moisture, land cover observations
  • Water Resources

10
(No Transcript)
11
NOAAs Water Resources
Any of the entire range of the Earths natural
waters that are of potential use to humans
Rivers Streams Reservoirs Lakes The Great
Lakes Watershed Conditions Wetlands Estuaries Coas
ts
12
NOAAs Water Resources Themes and Objectives
  • Socio-Economic Needs and Benefits
  • Multidisciplinary social science studies with
    demonstrations of product and service benefits
  • Water Resource Data Assimilation
  • Doppler radar dual polarization and satellite
    quantitative precipitation, snow, satellite
    vegetation, soil moisture, evaporation, tides,
    estuary water quality
  • Fresh Water Forecasting
  • High spatial resolution water resources
    information grids
  • Daily to seasonal probabilistic forecasts
  • Improved forecast information for extreme events
    (floods and droughts)
  • Estuary-Fresh Water Ecosystem Predictions
  • Fresh water forecast information directly
    incorporated into assessments of ecosystem stress
  • Routine predictions of coastal water conditions

13
NOAAs Hydrology Program Requirements
14
NOAAs Hydrology Program Requirements
15
NOAAs Hydrology Program Requirements
16
NOAAs Hydrology Program Requirements
17
NOAAs Hydrology Program Requirements
18
Thank You!
19
Gap-FillingRadar Mosaic
20
Precipitation Field from Hydroestimator
21
Radar Mosaic filled with Hydroestimator
22
Present Hydrologic Use of GOES Data
CNRFC rain gauge network shows gauge density is
uneven
23
CNRFC Effective Radar Coverage
24
CNRFC Dec 17, 2002
Hydroestimator
Bias Cor. Hydroestimator
25
Raingage HydroestimatorMerged
26
Bias Correction and Data Merging
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