EARS Satellite data for Climate Water and Food Meteosat Flow Forecasting and Drought Monitoring Mark de Weerd, MSc. EARS Earth Environment Monitoring BV.
Post on 27-Dec-2015
215 Views
Preview:
Transcript
EARS Satellite data for Climate Water and Food
Meteosat Flow Forecasting andDrought Monitoring
Mark de Weerd, MSc.
EARS Earth Environment Monitoring BVDelft, The Netherlands
EARS Satellite data for Climate Water and Food
• Remote sensing company since 1977• Delft, the Netherlands
• Energy & Water Balance Monitoring• Climate, Water and Food applications:
EARS Earth Environment Monitoring BV
River flow forecasting
Drought monitoring
Crop yield forecasting
Crop insurance
EARS Satellite data for Climate Water and Food
Meteosat
MSG
FY2c
METEOSAT IOC
MTSat
EARS Satellite data for Climate Water and Food
Energy en Water Balance
Radiation
Heat Evaporation Precipitation
Flow
EARS Satellite data for Climate Water and Food
Energy and Water Balance Monitoring System (EWBMS)
Rainfall
processingClouds
Temperature
Albedo
Energy balance
processing
WMO stations
Precipitation
Radiation
Evaporation
Crop growthmodel
Hydrologicalmodel
River flow forecasting
Crop yieldforecasting
Droughtprocessing
Droughtmonitoring
Meteosat
FengYun-2
VIS & TIR
EARS Satellite data for Climate Water and Food
66
Rainfall processing
•Meteosat TIR
•Cloud top temperature
•Cloud level
•Cloud level durations (CDi)
•GTS rain gauge data (R) •Regression:
R = a0+a1CD1+a2CD2+ ….
•Calculate rainfall field
0
2
4
6
8
10
12
160 180 200 220 240 260 280
Temperature (K)
Heig
ht (k
m)
cold
high
medium high
medium low
EARS Satellite data for Climate Water and Food
Rainfall product
EARS Satellite data for Climate Water and Food
Evapotranspiration processing
Hourly TIR
TIR VIS
Cloud?
To,Ta, Ao, t
Ac , tc
In = (1-Ao) Ig – Lu
In = (1-Ao) tc Ig
H = (To-Ta) LE = In - H
LEp= 0.8 In
RE=LE/LEp
LE = 0.8*RE*In
Atm.corr.
Hourly VIS
Radiation
Sensible heat flux
Potential evaporation
Actual evaporation
Rel. evaporation
constant “Bowen ratio”
EARS Satellite data for Climate Water and Food
Actual evapotranspiration product
EARS Satellite data for Climate Water and Food
Time series (daily, 10-daily)
EARS Satellite data for Climate Water and Food
Complete river basins
EARS Satellite data for Climate Water and Food
U pper Yellow R iverW ei R iver
2
1
3
45
6
7
8
Wei River
Upper
Yellow River
Second largest river basin of China
Example project: Yellow River basin (2006-2009)
EARS Satellite data for Climate Water and Food
GMS / FY2 precipitation data 1st quarter 2000 2nd quarter 2000
3rd quarter 2000 4th quarter 2000
EARS Satellite data for Climate Water and Food
GMS / FY2 evapotranspiration data
1st quarter 2000 2nd quarter 2000
3rd quarter 2000 4th quarter 2000
EARS Satellite data for Climate Water and Food
Water balance validation
-4
-2
0
2
4
6
8
10
12
Jul-0
5
Sep-
05
Nov
-05
Jan-
06
Mar
-06
May
-06
Jul-0
6
Sep-
06
Nov
-06
Jan-
07
Mar
-07
May
-07
Jul-0
7
Sep-
07
Nov
-07
Jan-
08
Mar
-08
May
-08
Jul-0
8
Net
Pre
cipi
tatio
n (m
m)
-2
-1
0
1
2
3
4
5
6
Riv
er D
isch
arge
(mm
)
Net precipitation 5 days-floating average
River discharge at Tangnaihai
0200400
600800
10001200
140016001800
Jul-0
5
Sep
-05
Nov
-05
Jan-
06
Mar
-06
May
-06
Jul-0
6
Sep
-06
Nov
-06
Jan-
07
Mar
-07
May
-07
Jul-0
7
Sep
-07
Nov
-07
Jan-
08
Mar
-08
May
-08
Jul-0
8
Wat
er (m
m)
Cum. evapotranspiration
Cum. net precipitation
Cum. precipitation
Cum. river discharge
Upper Yellow River
EARS Satellite data for Climate Water and Food
Land component:2-dimensional diffusion processSurface & sub-surface flow
Large Scale Hydrological Model (LSHM)
Q(t)
Ql(t)Ql(t)
River flow component:Muskingum-Cunge routing
Q(t)
EWBMS Precipitation &
Evapotranspiration
Hydrological Model by UNESCO IHE
EARS Satellite data for Climate Water and Food
Wei River flow simulation
R2 = 0.75 Vol. error = 4%
R2 = 0.80Vol. error = 11%
EARS Satellite data for Climate Water and Food
Wei River 24 hr forecast
RMSE = 110 m3/s RRMSE = 0.37
COE = 0.75 R2 = 0.79
EARS Satellite data for Climate Water and Food
22
High level interest at the2nd International Yellow River ForumZhengzhou, October 2005
EARS Satellite data for Climate Water and Food
• By a Chinese high-level scientific commission
• Classification: “World Leading Level”
• 2nd Prize China Ministry of Water Resources
Yellow River project evaluation
EARS Satellite data for Climate Water and Food
• Niger Basin Authority (NBA), Niamey, Niger• Operational implementation• Drought monitoring • River flow forecasting
Niger Basin project (2014-2017)
EARS Satellite data for Climate Water and Food
• Meteosat receiver• PC network• Software
– Pre-processing– EWBMS– LSHM– Utility GIS
• Calibration & Validation• Training
Implementation project components
EARS Satellite data for Climate Water and Food
Meteosat antenna
26
EARS Satellite data for Climate Water and Food
Receiving and processing office
27
EARS Satellite data for Climate Water and Food
Training
28
EARS Satellite data for Climate Water and Food
India
Meteosat Indian Ocean Data Coverage (IODC)
EARS Satellite data for Climate Water and Food
India
EARS Satellite data for Climate Water and Food
• Operational water monitoring and flow forecasting system• Distributed precipitation and evapotranspiration data
Data:• Has at least a daily temporal resolution and a 5 km spatial
resolution.
• Is transboundary, uniform, objective and cost effective
Conclusions
EARS Satellite data for Climate Water and Food
Thank you for your attention
mark@ears.nlwww.ears.nl
top related