Transcript CITRISminus0306

Water Resources & IT challenges
Problem: how to modernize California’s water information
systems, from field sensors to decision support
Challenges:
– widely dispersed decision making & growing,
heterogeneous demand for information
– decades old technology in use, with only modest, limited
programs underway to upgrade systems
Opportunity: develop & deploy prototype infrastructure to
support research & decision making, with integration from
sensor technology to information systems
Benefit: enhance billions of dollars of decisions annually by
reducing uncertainty & enabling efficient water management
Partners: CA Resources Agency, CA-CEC, US DoI & DOE,
MWD, ACWA, PGE, SCE, NASA, NSF (CLEANER,
CUAHSI, NEON)
Research projects & contributions
Integration of satellite remote sensing, ground-based
embedded sensor networks, heterogeneous information
systems & next-generation hydrologic modeling
– Sierra Nevada water cycle
– Central Valley water quality
Integration of water data & information with distributed
decision-support systems
– Support current decision making tools
– Stimulate development & adoption of new systems
Measuring mountain water cycle at the
basin scale
satellite remote sensing
multiple
instrument
clusters in
a basin
flux tower
Instrument cluster
Flux tower or
meteorological station
Embedded sensor network
Sap flow array
Stream & groundwater
sensors
Data & communication hub
Roger Bales, Sierra Nevada Research Institute, UC Merced
Embedded sensor network for mountain water cycle
signal/data to/from other nodes
One node
Sensors
snow depth
air temperature
relative humidity
solar radiation
soil moisture
soil temperature
…
Pod
microcomputer
data storage
radio
battery
solar cell
signal/data
Mother pod
microcomputer
radio
battery
solar cell
data logger &
IP connection via
phone, radio or
direct
network data
& control
signal/data to/from UC Merced
Roger Bales, Sierra Nevada Research Institute, UC Merced
Pod & snow pinger
at Gin flat sensor
network
Roger Bales, Sierra Nevada Research Institute, UC Merced
Mother pod, data logger &
snow pinger at Gin flat
embedded sensor network
SNOTEL
Snowcourse
Roger Bales, Sierra Nevada Research Institute, UC Merced
Integration of satellite & ground-based
measurement systems & modeling
Some opportunities:
– snowcover extent & water equivalent
– soil moisture
– precipitation
– streamflow/runoff forecasting
Energy balance modeling scheme
data
cube
SWE
albedo SCA
incident
solar
air
longwave temp
relative wind
humidity speed
t
y
x
vegetation
energy
balance
LSM
topography
soils
basin
potential
runoff
pixel by
pixel
SWE &
SCA
SWE
Time
pixel by
pixel
runoff
potential
Time
Scaling mountain
water balance
plot/hillslope
soil moisture
basin
remote sensing
SCA
albedo
vegetation
snow distribution
melt timing
snow distribution
partitioning
infiltration
ET
runoff
micromet
recharge
ground/RS
SWE
precip
radiation
EB
topography
fluxes
Blending measurements
from multiple scales
ground
soil moisture
infiltration &
recharge
micromet
bedrock
soils
How can CITRIS help?
Embedded sensor networks
– critical need for prototype deployments
– develop communications & systems for data integration
Data & information systems
– address need for user-oriented integration of
heterogeneous data for decision support applications
– develop digital watershed tools & technologies
Each project has a threshold to initiate & sustain