Learn About EDEN
Status Report - FY11
Period Covered: October 1, 2010 through September 30, 2011
Project: South Florida Surface Water Monitoring
Network for Support of MAP Projects
Agency: U.S. Geological Survey (USGS)
USGS Point of Contact: Pamela Telis, email@example.com, 904-232-2602
USACE Point of Contact: David Tipple, 904-232-1375,
Gretchen Ehlinger, 904-232-1682
IA#28 under MOA between USGS and USACE
This annual report for 2011
summarizes the major accomplishments, lists deliverables and reports, and
outlines the work plan for 2012 for the EDEN project. The EDEN’s primary
deliverable and product continues to be the EDENweb (http://sofia.usgs.gov/eden); the project website that provides all data, results, documentation, and
other project information for EDEN users.
I. Major Accomplishments
- Real-time, provisional, and final EDEN
surfaces are being produced and posted to EDENweb on schedule.
Surfaces currently posted on the EDENweb include:
for 1/1/2000 through 9/30/2010 (using V2 surface-water model)
for 10/1/2010 through 6/30/2011 (using V2 surface-water model)
for 7/1/2011 through current
all surfaces 1/1/2000 through 6/30/11 have been recreated using our new expanded and improved EDEN surface
water interpolation model (V2 model)
surfaces using V2 model to go online during the first quarter of FY2012.
development of the EDEN
surface-water model (V2). Revisions include:
- Model platform changes – Python and the ESRI ArcGIS9.3.1
Geoprocessing package replaces Winbatch and ESRI ArcGIS ArcMap 9.1 and creates
a more efficient model that is easier to run and update.
- Expansion of the EDEN domain – The model
domain is expanded to include the remainder of Big Cypress National Preserve
and Everglades National Park along the southwest coast of Florida.
- Development of subarea models for selected basins – Subarea models
developed for WCA1, WCA2B, WCA3B and Pennsuco Wetlands better represent the
hydrology of these basins. These surfaces are then merged to the full domain
model for the final daily water surface.
- Changes to canal files - The canal files in the V2 full domain
model are used the same way as in the V1 model. In the V2 model, several canal
files were updated, added, or deleted to better represent the hydraulic
conditions near canals.
- Updated water-level gage data – Water-level
gage data for the V2 model is updated by adding, deleting and revising gage
data based on new information about the gage network.
- Model validation -- The model was assessed with benchmark
data, surface contour and expert comments which confirmed its improved
- See figure 1.
|Figure 1. Example of daily water-level surfaces created
by V1 EDEN surface-water model and V2 EDEN surface-water model (note change
in model domain) [larger version]|
- The ADAM (Automated Data Assurance and Management) software developed in FY2011 is making data review and
processing much more efficient.
is being used for quarterly and annual data processing to find and fill
data gaps and problem data.
was used to review the historic 10-year data set (2000-2009) and to find
and fill data gaps and problem data.
will be used for real-time data processing.
|Figure 2. Example of ADAM software screen for a single
gage that is reviewed, gap filled, and stored. [larger version]|
independent EDEN database that
will supplement the USGS NWIS database for expanded EDEN capabilities.
This database was necessitated by ADAM software datasets and confidence
index computations and allows storage of ADAM estimated data.
GAPFILL equations were derived based on new period-of-record data.
a confidence index (CI) maps
for the EDEN model water-level surfaces to account for differences in
reliability of the model based on distance from gages, canals, and model
boundaries, and known cross validation errors of the model.
testing of the CI and website modifications will be completed in November
2011 when daily CI surfaces will be posted for all daily water-level
|Figure 3. Example of a daily confidence index map for a
given day; green shows areas of high confidence, yellow shows areas of
medium confidence, red shows areas
of low confidences, and grey shows areas that are dry. [larger version]|
support to several RECOVER
principal investigators and agencies representatives for EDEN data.
example, met with Snail Kite researchers to discuss their need for
water-level data that synthesizes extreme-case conditions for use in
their models. In FY2012, we hope to develop datasets that can be used by
these and other researchers.
member list for the EDEN newsletter is 124 and includes participants from
federal government agencies (such as DOI, ENP, USGS, FWS, EPA), State
agencies (such as SFWMD, FDEP), many local and other universities and
several international affiliations.
II. Support from other Programs and Funding Sources
Greater Everglades PES funds continue to support the
EDEN project by funding efforts by Paul Conrads (USGS-SC), John Jones
(USGS-Reston), Heather Henkel (USGS-St. Pete), Bryan McCloskey (USGS-St. Pete),
and Matt Petkewich (USGS-SC). Additionally, PES provides some funds for Pamela
Telis (USGS-Jacksonville) in her role as project coordinator and liaison with
funds and USGS Greater Everglades PES funds -- Hindcasting the EDEN stations in the freshwater portion of the
Everglades for the period 1990 - 1999 was completed in FY 2011.
approaches for hindcasting the stations data have been applied including
linear regression and artificial neural network models.
of period of missing record prior to 2000 have been adjusted by applying “shifts”
to the estimates. The application
of shifts is analogous to the procedure for computing continuous stage
and water-quality records.
example below (fig. 4) shows the benefit of applying the shift. The model for estimating Site 76 using
site SRS1 has an R2 of 0.84 indicating that the model captures
84 percent of the variability in the water levels of Site 76. The statistic indicates a satisfactory
model and is an indication of the model’s ability to capture the overall
trend of the data. The trend is not
an absolute prediction of the value at a particular time. In the example
below, the difference at the beginning and end of the 8-day estimation of
missing data is 0.48 and 0.49 ft, respectively. The 8-day estimate is adjusted by these
difference is generate a more accurate absolute prediction of the missing
|Figure 4. Example of the application of a “shift” to
adjust and estimate water level to a more accurate prediction of the actual
water level. [larger version]|
generation of the 252 hindcasted EDEN records back to 1990, including the
filling and shifting of the missing record of stations established in
1990 or before, has been more time consuming than anticipated.
datasets will be used to create daily water-level surfaces using the V2
EDEN surface-water model for the period 1990-1999.
fig. 5 for an example of hindcasted data for a gage based on data from a
|Figure 5. Example of hindcasted data is shown for site
W18 in Water Conservation Area 3A South.
The measured data for site W18 starts in January 2006. An empirical
model was developed to estimate the daily water level back to January
1990. Site 3A9, a site near W18 with
measured data dating back before 1990, is shown for comparison. [larger version]|
Everglades PES funds -- The EDENapps
tools continue to offer EDEN users capabilities such as data viewing,
data retrieval, and data access and manipulation. Expansion of the EDEN
datasets and increased digital requirements require that the EDENapps
tools be upgraded to 64-bit processing. To take advantage of the work
funded by other PES funds, the National Wetlands Research Center (NWRC) in
Lafayette, LA is working with EDEN to improve capabilities of the existing
tools and provide access to the new datasets, such as the confidence index
Everglades PES funds – Initiated development of a prototype Web
application for the display of current conditions and the change in
conditions for coastal water-level data described as Coastal EDEN.
III. Significant Meetings/Workshops/Conferences
Conference on Ecosystem Restoration (Baltimore, MD)
- The South Florida Information Access (SOFIA)
System and Everglades Depth Estimation Network (EDEN): Providing Support for
Everglades Restoration; Heather Henkel
National Surface Water Conference (Tampa, FL )
The EDEN Team conducted an EDEN
session to highlight the work by EDEN and relevance for other large gage
- PRESENTATION – Everglades Depth Estimation Network (EDEN): Providing Hydrologic Data for the Restoration
of the Everglades; Pamela Telis
- PRESENTATION – Everglades Depth Estimation Network (EDEN) Data Management Cycle: From Data Input to
Analysis of Confidence Index Maps; Heather Henkel and Bryan McCloskey
- PRESENTATION - Hindcasting
Water-Surface Elevations for Water Conservation Area 3A South; Paul
Conrads, Zhixiao Xie, and Bryan McCloskey
- PRESENTATION - Water-Level Record Extension of the Everglades Depth Estimation Network; Paul
A. Conrads, Bryan J. McCloskey, and Andrew M. O’Reilly
- PRESENTATION - Using Inferential Sensors for Quality Control of Water-level Data for
the Everglades Depth Estimation Network (EDEN); Matthew D. Petkewich, Paul
A. Conrads, and Ruby C. Daamen
(Advanced Data Mining International)
- POSTER -
Automation of the Estimation of Missing Water-Level Data for the Everglades
Depth Estimation Network (EDEN);
Matthew D. Petkewich, Paul A. Conrads, and Brian D. Reece
- POSTER- The
Everglades Depth Estimation Network (EDEN) for Support of Biological and
Ecological Assessment; Pamela A. Telis
- POSTER –
Rainfall and Potential
Evapotranspiration Data for Everglades Depth Estimation Network (EDEN);
- POSTER –
Hindcasting Water-Surface Elevation for
Water Conservation Area 3A South; Paul Conrads
- POSTER –
Conceptual Components for the Coastal Everglades Depth Estimation Network (Coastal EDEN); Heather Henkel
- The South Florida Information Access (SOFIA) System and Everglades Depth Estimation Network (EDEN); Heather Henkel
South Carolina Water Resources Conference (Columbia, SC)
-- Automation of the Estimation of
Missing Water-Level Data for the Everglades Depth Estimation Network (EDEN); Matthew D. Petkewich,
Paul A. Conrads, and Brian D. Reece
- Development of Inferential
Sensors for Real-Time Quality Control of Water-Level Data for the
Everglades Depth Estimation Network; Ruby Daamen
(Advanced Data Mining International)
- 2011 USGS Eastern Region (Chider) Data Conference
- Using Inferential Sensors for Quality Control of Water-level Data
for the Everglades Depth Estimation Network (EDEN); Paul Conrads,
Matt Petkewich, and Ruby Daamen
IV. Administrative (Contractual and Budgetary)
- The EDEN project was fully funded in
FY11 under the USGS IA# 28 under the MOA between USGS and USACE.
Atlantic University (FAU, Zhixiao Xie, Zhongwei Liu) was funded by the
EDEN project through a CESU agreement in FY11 for:
of the EDEN surface water interpolation program.
V. FY11 Deliverables/Reports
has been updated throughout the year to provide data, metadata, and
documentation to MAP PIs and others.
Reports have been submitted on time to the RECOVER MAP coordinators.
VI. FY12 Workplan
This plan includes work elements funded from both RECOVER
MAP and USGS GEPES:
- Data management and daily
- Create and post daily
water surfaces on schedule
- Use ADAM for data gap
filling and EDEN database for data storage
- Use V2 surface-water
model for creation of all surfaces
- Create and post daily
confidence index maps for surfaces
- Use confidence index
maps to test impacts of less dense network of gages
- Complete creation of
hindcasted water-level surfaces for the period 1990 – 1999
- Continue to work with
agencies that are monitoring water levels and develop a plan for creating
EDEN daily surfaces with fewer surface-water gages as funding cuts reduce
- Implement webpage for
EDEN oligohaline zone (Coastal EDEN)
- Document all the new work
via USGS series reports and journal articles
- Participate in GEER2012
and present recent EDEN improvements and results
- Collaborate with National
Wetlands Research Center for revisions to several of the EDENapps tools
- Provide hydrologic
analyses and results for 2012 System Status Report to Congress.
VII. Anticipated Needs and Issues
- The significant impact of
funding cuts for South Florida monitoring will be the reduction in the
gage network by all operating agencies. As the water-level gage network
becomes less dense, the confidence of the modeled water surface is
reduced. In some areas, a less dense network will have less impact than in
areas where the hydrology is more complex. Pamela Telis will work with the
operating agencies over the next few months to attempt to coordinate loss
of gages to reduce the impacts on the EDEN surfaces.
VIII. Funding Status
- As of
9/30/11, all of the FY11 funding under USGS IA #28 has been expended or
obligated. Invoices will be electronically submitted to the USACE within
the next few months.
Priority Ecosystem Science (PES) funding in FY2011 was to multiple principal investigators in support for EDEN research
efforts. This level of support is expected to be continued in FY2012 with
a potential 10% cut.