Data Infrastructure for Wide-Area Hydrologic Modeling

Data Infrastructure for Wide-Area Hydrologic Modeling

Greg Husak and Guleid Artan

Potential Evapo-Transpiration (PET) Computed daily from Global Data Assimulation System

(GDAS) data (generated every 6hrs) Penman Monteith Equation solved to obtain PET values Spatial domain: Global Spatial Resolution: 100 km grids (1o) Data Availability:

ftp://edcftp.cr.usgs.gov/pub/edcuser/fewsips

Global PET for 2004

ftp://edcftp.cr.usgs.gov/pub/edcuser/fewsips/

Cuyama (88): 2004 ETo Comparison GDAS vs Station (moving 8-day average)

Elevation (m): GDAS/Station, 567/698

012345678

10

35

60

85

110

135

160

185

210

235

260

285

310

335

360

Julian days, 2004

Daily E

To

(m

m) GDAS

Station

Annual Difference GDAS - Station = -72 mm (-5%)

r = 0.99

Riverside (44): 2004 ETo Comparison GDAS vs Station (moving 8-day average) Elevation (m): GDAS/Station, 1160/311

012345678

10

35

60

85

110

135

160

185

210

235

260

285

310

335

360

Julian days, 2004

Daily

ET

o (

mm

) GDAS

Station

Annual Difference GDAS - Station = 36 mm (2.4%)

r = 0.99

Daily NOAA RFE Data Windows

ftp://edcftp.cr.usgs.gov/pub/edcuser/fewsips/

Air Force Weather Agency Data Windows (AFWA / NCAR / PSU MM5 Model )

ftp://edcftp.cr.usgs.gov/pub/edcuser/fewsips/

HYDRO1K Elevation Derivative Dataset

http://edc.usgs.gov/products/elevation/gtopo30/hydro/index.html

USGS Global Land Cover

Characterization Dataset

http://edcsns17.cr.usgs.gov/glcc/

GeoSFM Database ComponentsStatic Geographic

Database

FAO Soil Data

Land Use/ Land Cover

Elevation Data

• Subbasins are the modeling units for water balance and routing

• Uniform naming convention used to identify rain and PET grids

• Dams and gauges identified by unique id as well as subbasin id

Vector Datasuch as rivers, basins,gauges…

Dynamic Geographic Database

GriddedRainfall

PET Fields

GriddedQPF

Relational Database of Time

Series

1D time series of rainfall, PET, soil water, runoff and flow

Continental Flood Risk Monitoring

Improved Model Precipitation

• Integrating available station data with satellite model could yield improved rainfall estimates at daily or sub-daily timesteps

• Preliminary work suggests good improvements at monthly and dekadal timesteps

• Improved precipitation inputs could lead to improved flood models

Improved Rainfall at Watershed Level

0

100

200

300

400

500

600

May

-01

Jun-

01

Jul-0

1

Aug

-01

Sep

-01

Oct

-01

Nov

-01

Dec

-01

Jan-

02

Feb

-02

Mar

-02

Apr

-02

May

-02

Jun-

02

Jul-0

2

Aug

-02

Sep

-02

Oct

-02

Nov

-02

Dec

-02

Jan-

03

Feb

-03

Mar

-03

Apr

-03

May

-03

Jun-

03

Jul-0

3

Aug

-03

Sep

-03

Oct

-03

Nov

-03

Dec

-03

RFE Average

IRE Average

Station Average