LIS In addition to NASA satellite products, we can provide spatially modeled data generated by our p

1
Improving Water Management Decision Support Tools
Using NASA Satellite and Modeling Data
David Toll1, Kristi Arsenault2, Joe Nigro3, Ted
Engman4, JonathanTriggs2, Brian Cosgrove4,
Charles Alonge4, Doug Boyle5, Richard Allen6,
Phil Townsend7, Wenge Ni-Meister8
1-NASA/GSFC , 2-UMBC-GEST, 3-SSAI, 4-SAIC,
5-DRI, 6- U. Idaho, 7- U. Wisconsin, 8-Hunter
College Hydrological Sciences Branch (614.3),
Goddard Space Flight Center, NASA, Greenbelt, MD
20771, dave.toll_at_nasa.gov, 301-614-5801
ABSTRACT One of twelve Applications of National
priority within NASA's Applied Science Program,
the Water Management Program Element addresses
concerns and decision making related to water
availability, water forecast and water quality.
This poster presentation further describes the
Water Management Program with the objective of
informing the applications community of the
potential opportunities for using NASA science
products for problem solving. We will illustrate
some ongoing and application Water Management
projects evaluating and benchmarking NASA data
with partnering federal agencies and their
decision support tools with the Environmental
Protection Agency for water quality and the
Bureau of Reclamation for water supply, demand
and forecast.
AWARDS ET Toolbox and RiverWare Partners USBR
Warren Sharp, Steven Bowser, Chuck Hennig,
Richard Stodt, Don Frevert, Doug Clark, Steffen
Meyer University of Nevada, Reno - Doug Boyle
University of Idaho - Richard Allen USDA NRCS -
Garry Schaefer, Phil Pasteris
As part of the model development for AWARDS Kc,
an NDVI based ET estimation method is being
extended for future annual updates of AWARDS Kc.
AWARDS ET Toolbox is used by the USBR to estimate
daily riparian and crop water use based on
vegetation classifications. With the USBR, we
parameterize the LIS land surface models with
satellite-derived land cover products from the
MODIS sensor. LIS is currently being run over
the New Mexico region, focusing on the Upper and
Middle Rio Grande Basins. An example of a MODIS
land cover product is shown on the left.
(above) average Kc vs. NDVI for a variety of crop
types in Idaho (left) Landsat image and the
corresponding ET estimated from NDVI in New Mexico
(left) MODIS v-4 land cover product (UMD
classification)
--------------------------------------------------
--------------------------------------------------
--------------------------------------------------
--------------------------------------------------
------
BASINS / HSPF Partners EPA - Ed Partington,
Jim Carleton UMCES - Keith Eschleman, Jodi
Brandt Hunter College CUNY Wenge Ni-Meister,
Shi Yan Lee CBP - Gary Shenk, Katie Hopkins
NASA SSC - Nathan Sovik, U of Wisconsin Phil
Townsend
Precipitation rain gauges are not
representative of precipitation events occurring
throughout an entire basin. Since
satellite/spatial data compliments default gauge
data in BASINS-HSPF, the work shows improved flow
estimates using NASA NLDAS precipitation data.
Evapotranspiration (ET) LIS ET was found to be
very useful for extreme events. The work shows a
significant improvement in flow estimates for
BASINS-HSPF when using NASA LIS ET data.
BASINS (Better Assessment Science Integrating
point and Nonpoint Sources) is an ArcView
GIS-based DSS developed and used primarily by the
EPA to
Stage II
Integrated Systems Solutions
Architecture Water Management Program
Element Roadmap
Chesapeake Bay Watershed
--------------------------------------------------
--------------------------------------------------
- LIS - In addition to NASA satellite products,
we can provide spatially modeled data generated
by our primary modeling system, LIS. The goal of
LIS is to provide accurate land surface water
availability estimates for various application
studies. The land surface models (LSMs) used by
LIS include Advantages of LIS
include
perform watershed and water quality
assessments develop Total Maximum Daily Loads
(TMDLs) for water bodies that are not
meeting water quality standards
LIS/LDAS R 0.81 RMS 146 Default R 0.53
RMS 279
BWI
gauge vs. NLDAS data
Several hydrological and pollution prediction
models are used within BASINS, including HSPF.
HSPF uses a variety of model forcing datasets
listed below
?
(left) various precipitation sources (right) HSPF
modeled flow estimations
NE ANACOSTIA BASIN
NLDAS 1/8th
CMORPH 8km
Reagan National
Stage II / IV 4km
GPM 4km
stream flow comparison using LIS ET
Land Cover - satellite-derived measurements
(MODIS / Landsat) of disturbance, caused by gypsy
moths and logging, were found to link to
measures of stream nitrate concentration
Estimated N deposition from gypsy moth frass for
Allegany County, MD in 2000 (left) and 2001
(right) in kg/ha/yr.
gypsy moth defoliation and annual nitrate-N
export
--------------------------------------------------
--------------------------------------------------
--------------------------------------------------
--------------------------------------------------
-----
Noah 2.7.1 (left) and CLM2 LSMs (center) LSMs
snow cover fields and MODIS daily snow cover
extent (right) for the Yakima Basin on Feb 24,
2003. (purple snow, yellow clouds, beige
snow-free land.)
The Water Management Program Element leverages
appropriate activities, expertise, and assets
selected through solicitations and research
announcements to serve the program elements
objectives. For proposals selected through
solicitations funded by the Applied Sciences
Program, the Water Management Program may provide
supplemental funding. In addition, the program
element may provide funds to projects selected or
identified through other Science Mission
Directorate solicitations. The program and
project managers facilitate appropriate
partnerships between solicitation recipients and
NASA partners. The activities are carried out
through competitive grants that are peer reviewed
to insure that they are technically feasible and
address high priority Program goals.
Governmental, private and academic organizations
are encouraged to participate and compete for
NASA support to enhance their problem solving
mandates. This project was funded by the NASA HQ
Applied Sciences Program.
flexible resolution capabilities, ranging from ¼
degree to 1km finer at time steps from 1 hour to
finer temporal scales
For more information please refer to (research
opportunities) http//nspires.nasaprs.com/external
/ (general) http//www.earth.nasa.gov (ASP)
http//science.hq.nasa.gov/earth-sun/applications/
index.html