The NASA Working Group on River and Wetland Hydrologic Processes

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The NASA Working Group on River and Wetland
Hydrologic Processes
D. Alsdorf, G.D. Emmitt, D. Lettenmaier, L.
Smith, C. Vörösmarty
Funded by the Terrestrial Hydrology Program at
NASA Jared Entin, Program Manager
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Working Group Participants
Charon Birkett, David Bjerklie, Bob Brakenridge,
John Costa, Melba Crawford, Cassiano D'Almeida,
Lawrence Dingman, Jay Famiglietti, Balazs Fekete,
Randall Friedly, Steve Hamilton, Dave Harding,
Laura Hess, William Heaps, Paul Houser, David
Imel, Mike Jasinski, Yunjin Kim, William Kirby,
Victor Koren, Pascal Kosuth, Venkataraman
Lakshmi, Soren Madsen, Mahta Moghaddam, Delwyn
Moller, Pierre Morel, Dan O'Connell, Keith Raney,
Ernesto Rodriguez, Ali Safaeinili, Gary Spiers,
Eric Wood, Thomas Yorke
You are invited to join us!
My apologies if I have forgotten you, please let
me know!
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Outline
Amazon Floodplain (L. Hess photo)

• A Brief History of the Working Group
• The Lack of Discharge and Water Storage Change
  Measurements
• Resulting Science Questions
• Why Satellite Based Observations Are Required to
  Answer These Questions
• Potential Spaceborne Solutions
• Your Participation is Welcomed

www.swa.com/hydrawg/
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History of the Working Group

• Outgrowth of the NASA ESE post-2002 Mission
  Planning process from our White Paper see
  our www.
• One of three THP working groups (Soil Moisture,
  Tom Jackson and Cold Land Processes, Don Cline)
• Four working group meetings (Aug 2000 May 2001
  Dec 2001 Nov 2002) and the fifth will be in
  Spring 2003.
• Funding for two more years from NASA Terrestrial
  Hydrology Program based on renewal proposal
  see our www.
• Are now planning for Field Program

www.swa.com/hydrawg/
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Lack of Q?
Keep these measuring approaches in mind
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Lack of Q and ?S Measurements An example from
Inundated Amazon Floodplain
Singular gauges are incapable of measuring the
flow conditions and related storage changes in
these photos whereas complete gauge networks are
cost prohibitive. The ideal solution is a
spatial measurement of water heights from a
remote platform.
100 Inundated!
How does water flow through these environments?
(L. Mertes, L. Hess photos)
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Example Braided Rivers
It is impossible to measure discharge along these
Arctic braided rivers with a single gauging
station. Like the Amazon floodplain, a network
of gauges located throughout a braided river
reach is impractical. Instead, a spatial
measurement of flow from a remote platform is
preferred.
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Globally Declining Gauge Network

• Many of the countries whose hydrological
  networks are in the worst condition are those
  with the most pressing water needs. A 1991 United
  Nations survey of hydrological monitoring
  networks showed "serious shortcomings" in
  sub-Saharan Africa, says Rodda. "Many stations
  are still there on paper," says Arthur Askew,
  director of hydrology and water resources at the
  World Meteorological Organization (WMO) in
  Geneva, "but in reality they don't exist." Even
  when they do, countries lack resources for
  maintenance. Zimbabwe has two vehicles for
  maintaining hydrological stations throughout the
  entire country, and Zambia just has one, says
  Rodda.
• Operational river discharge monitoring is
  declining in both North America and Eurasia.
  This problem is especially severe in the Far East
  of Siberia and the province of Ontario, where 73
  and 67 of river gauges were closed between 1986
  and 1999, respectively. These reductions will
  greatly affect our ability to study variations in
  and alterations to the pan-Arctic hydrological
  cycle.

Stokstad, E., Scarcity of Rain, Stream Gages
Threatens Forecasts, Science, 285, 1199,
1999. Shiklomanov, A.I., R.B. Lammers, and C.J.
Vörösmarty, Widespread decline in hydrological
monitoring threatens Pan-Arctic research, EOS
Transactions of AGU, 83, 13-16, 2002.
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Resulting Science Questions

• How does this lack of measurements limit our
  ability to predict the land surface branch of the
  global hydrologic cycle?
• Stream flow is the spatial and temporal
  integrator of hydrological processes thus is used
  to verify GCM predicted surface water balances.
• Unfortunately, model runoff predictions are not
  in agreement with observed stream flow.

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Model Predicted Discharge vs. Observed
Terrestrial-Biosphere Model, IBIS forced with
daily climate inputs from NCEP or with observed
Precipitation.

• Central U.S., both timing and magnitude errors
  (typical of many locations).
• Within basin errors exceed 100 thus gauge at
  mouth approach will not suffice.
• Annual predictions may be reasonable, but
  seasonal are not.
• Similar results found in global basins.

Lenters, J.D., M.T. Coe, and J.A. Foley, Surface
water balance of the continental United States,
1963-1995 Regional evaluation of a terrestrial
biosphere model and the NCEP/NCAR reanalysis, J.
Geophysical Research, 105, 22393-22425,
2000. Coe, M.T., Modeling terrestrial
hydrological systems at the continental scale
Testing the accuracy of an atmospheric GCM, J. of
Climate, 13, 686-704, 2000.
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Resulting Science Questions
For 2025, Relative to 1985

• What are the implications for global water
  management and assessment?
• Ability to globally forecast freshwater
  availability is critical for population
  sustainability.
• Water use changes due to population are more
  significant than climate change impacts.
• Predictions also demonstrate the complications to
  simple runoff predictions that ignore human water
  usage (e.g., irrigation).

Vörösmarty, C.J., P. Green, J. Salisbury, and
R.B. Lammers, Global water resources
Vulnerability from climate change and population
growth, Science, 289, 284-288, 2000.
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Resulting Science Questions

• What is the role of wetland, lake, and river
  water storage as a regulator of biogeochemical
  cycles, such as carbon and nutrients?
• Rivers outgas as well as transport C. Ignoring
  water borne C fluxes, favoring land-atmosphere
  only, yields overestimates of terrestrial C
  accumulation
• Water Area x CO2 Evasion Basin Wide CO2 Evasion

(L. Hess photos)
Richey, J.E., J.M. Melack, A.K. Aufdenkampe, V.M.
Ballester, and L.L. Hess, Outgassing from
Amazonian rivers and wetlands as a large tropical
source of atmospheric CO2, Nature, 416, 617-620,
2002.
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CO2 Evasion in the Amazon

• Over 300,000 km2 inundated area, 1800 samples of
  CO2 partial pressures, 10 year time series, and
  an evasion flux model
• Results 470 Tg C/yr all Basin 13 x more C by
  outgassing than by discharge
• But what are seasonal and global variations? If
  extrapolate Amazon case to global wetlands, 0.9
  Gt C/yr, 3x larger than previous global
  estimates Tropics are in balance, not a C Sink?

Richey, J.E., J.M. Melack, A.K. Aufdenkampe, V.M.
Ballester, and L.L. Hess, Outgassing from
Amazonian rivers and wetlands as a large tropical
source of atmospheric CO2, Nature, 416, 617-620,
2002.
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Why Use Satellite Based Observations Instead of
More Stream Gauges?

• Wetlands and floodplains have non-channelized
  flow, are geomorphically diverse at a point
  cross-sectional gauge methods will not provide
  necessary Q and ?S.
• Wetlands are globally distributed (cover 4
  Earths land 1gauge/1000 km2 X 40,000 230M)
• Declining gauge numbers makes the problem only
  worse. Political and Economic problems are real.
• Need a global dataset of Q and ?S concomitant
  with other NASA hydrologic missions (e.g., soil
  moisture, precipitation). Q ?S verify global
  hydrologic models.

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Solutions from Radar Altimetry
Topex/POSEIDON tracks crossing the Amazon Basin.
Circles indicate locations of water level changes
measured by T/P radar altimetry over rivers and
wetlands. Presently, altimeters are configured
for oceanographic applications, thus lacking the
spatial resolution that may be possible for
rivers and wetlands.
Water surface heights, relative to a common
datum, derived from Topex/POSEIDON radar
altimetry. Accuracy of each height is about the
size of the symbol.
Birkett, C.M., Contribution of the TOPEX NASA
radar altimeter to the global monitoring of large
rivers and wetlands, Water Resources
Res.,1223-1239, 1998. Birkett, C.M., L.A.K.
Mertes, T. Dunne, M.H. Costa, and M.J. Jasinski,
Surface water dynamics in the Amazon Basin
Application of satellite radar altimetry,
accepted to Journal of Geophysical Research, 2002.
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Solutions from Interferometric SAR for Water
Level Changes
These water level changes, 12 /- 2 cm, agree
with T/P, 21 /- 10 cm.
JERS-1 Interferogram spanning February 14 March
30, 1997. A marks locations of T/P altimetry
profile. Water level changes across an entire
lake have been measured (i.e., the yellow marks
the lake surface, blue indicates land). BUT,
method requires inundated vegetation for
double-bounce travel path of radar pulse.
Alsdorf, D.E., J. M. Melack, T. Dunne, L.A.K.
Mertes, L.L. Hess, and L.C. Smith,
Interferometric radar measurements of water level
changes on the Amazon floodplain, Nature, 404,
174-177, 2000. Alsdorf, D., C. Birkett, T. Dunne,
J. Melack, and L. Hess, Water level changes in a
large Amazon lake measured with spaceborne radar
interferometry and altimetry, Geophysical
Research Letters, 28, 2671-2674, 2001.
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Conclusions

• Lack of Q and ?S measurements cannot be
  alleviated with more gauges (e.g., wetlands
  diffusive flow).
• This lack leads to poorly constrained global
  hydrologic models.
• Ideal solution is a satellite mission with
  temporal and spatial resolutions compatible with
  planned missions and modeling efforts.

www.swa.com/hydrawg/