Use of EO Data in Hydrologic Modelling in the tztal Basin Petra Malcher IMGI

1
Use of EO Data in Hydrologic Modelling in the
Ötztal Basin Petra MalcherIMGI
2
NRT Processing Scheme
3
Meteorological Data

• ZAMG provided daily at 600 UTC via FTP
• 7-day Temperature Forecasts
• 1 AUSTRO MOS grid point (1000, 2000, 3000 m
  a.s.l.)
• daily mean
• 7-day Precipitation Forecasts
• 15 ECMWF grid points (ECMWF topography)
• 6-hourly sum
• Temperature / Precipitation Observations
• 7 online meteorological stations
• hourly values

4
Hydrological and Satellite Data

• HD provided daily via FTP at 530 UTC
• Water Level Observations
• 3 online gauges (Vent, Huben, Tumpen)
• 15 minute mean
• overhaul at Tumpen from 13 23 April 2005
• GSFC provided 24 h after acquisition
• MODIS Level 1B Calibrated, Geolocated Radiance

5
Pre-processing of Input Data
Temperature / Precipitation
Snow Covered Area
Temporal integration
Spatial interpolation
Temporal interpolation between acquisitions
Mean daily HRU values
6
Graphical Products

• Automatic processing of the following graphical
  products
• 1-7 day forecasts
• runoff
• temperature
• precipitation
• quality (measured versus forecasted)
• runoff
• temperature
• precipitation
• snow cover depletion
• snow water equivalent
• Products are daily updated and are made available
  to the public at the WWW

7
MODIS SCA Product

• 26 May 2005

SCA
clouds
water
snow free
bad input
8
Ötztal Basin

• realtime runoff stations
• realtime met stations

9
Quality of Temperature Forecasts
Mean Deviation DTmean,10.85 DTmean,20.70
DTmean,3 0.77 DTmean,40.78 DTmean,51.08
DTmean,61.50 DTmean,72.08 Correlation
Coefficient s10.98 s20.98 s30.98
s40.98 s50.95 s60.88 s70.80
10
Quality of Precipitation Forecasts
Mean Deviation DPmean,12.61 DPmean,22.57
DPmean,32.73 DPmean,42.83 DPmean,54.39
DPmean,63.71 DPmean,74.91 Correlation
Coefficient s10.70 s20.77 s30.72 s40.55
s50.38 s60.35 s70.15
11
Snow Depletion Huben
12
Runoff Forecast Huben

• 08 June 2005

13
Runoff Forecast Quality Huben
Nash-Sutcliffe Correlation R210.98 R22
0.97 R23 0.97 R24 0.95 R25 0.93 R26 0.89 R27
0.87 Volume Deviation Dv,1-1.34 Dv,20.12 D
v,31.78 Dv,43.98 Dv,55.73 Dv,66.19 Dv,75.84
14
Runoff Forecast Quality Vent
Nash-Sutcliffe Correlation R210.96 R22
0.95 R23 0.96 R24 0.93 R25 0.92 R26 0.89 R27
0.87 Volume Deviation Dv,1-2.19 Dv,2-0.48
Dv,31.78 Dv,44.93 Dv,58.01 Dv,69.93 Dv,78.98
15
Summary and Conclusions

• Real time runoff forecasts for the Ötztal basin
  are produced since 25 March 2005, including
• daily 7-day runoff forecast
• MODIS and ASAR SCA maps
• daily evaluation of forecast products (T, P,
  runoff)
• the products are accessible at the IMGI EnviSnow
  WWW site
• The evaluation of the forecasts to date shows
• very high accuracy of forecasted runoff until day
  4
• useful forecast quality up to day 7
• errors in the predicted runoff are closely
  correlated to the quality of the forecasted
  meteorological data
• so far SCA input for the runoff model was
  retrieved mainly from MODIS, that proved to be
  very useful