mapping science to measurement requirements for geo-cape presented by annmarie eldering jet...
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Mapping Science to Measurement Mapping Science to Measurement Requirements for GEO-CAPERequirements for GEO-CAPE
Presented by Annmarie Eldering
Jet Propulsion LaboratoryCalifornia Institute of Technology
TES Science Team MeetingFebruary 24, 2009, Boulder, CO
Contributors: Kevin Bowman, Meemong Lee, Zheng Qu, Mathew Yeates, Paul Hamer, Changsub Shim, John Worden
JPL Clearance: N/A
Last Modified: 2/24/2009
National Aeronautics and Space AdministrationNational Aeronautics and Space Administration
www.nasa.govwww.nasa.gov Jet Propulsion LaboratoryJet Propulsion Laboratory11 California California
Institute of TechnologyInstitute of Technology Pasadena, CAPasadena, CA
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Introduction to GEO-CAPEIntroduction to GEO-CAPE
From the decadal survey, GEO-CAPE science objectives -
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GEO-CAPE Science ObjectivesGEO-CAPE Science Objectives
Atmospheric Science
Air quality assessments several times daily and forecasting to support air program management and public health
Measure emission of ozone and aerosol precursors including human versus natural sources
Monitor pollutant transport into, across, and out of North, Central, and South America
Detect, track, and predict the location of extreme pollution events such as large puff releases from environmental disasters, and plumes from wildfires
Ocean Science
Quantify response of marine ecosystems to short-term physical events, such as passage of storms and tidal mixing
Assess importance of variability in coupled biological-physical coastal ecosystem models
Monitor biotic and abiotic material in transient surface features, such as river plumes and tidal fronts
Detect, track, and predict the location of hazardous materials, such as oil spills, ocean waste disposal, and harmful algal blooms
Detect floods from various sources including river overflows
Geostationary orbit enables continuous continental & regional observations
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Practically designing a missionPractically designing a mission
Take broad science objectives and …..
Develop specific measurement requirements (species, precision, accuracy, vertical resolution, temporal resolution)
Develop instrument designs that can meet the measurement requirements
Identify strategy for using instrument to meet science goals (observation scenario and mission design)
OSSE: The ozone case 4
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Why GEO-CAPE needs advances:Why GEO-CAPE needs advances: GEO-CAPE science questions with societal impacts push us
towards a new way of measuring ozone
– Improve air quality forecast skill
– Quantify impacts of pollution transport on regional to continental scales
– Monitor pollution emissions
CMAQ Using TES Boundary Conditions
CMAQ Prior to use of TES Current measurements fall short
for these science goals
– Limited sensitivity to the lower layers of the atmosphere
– Observations at best twice per day
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Key Questions for GEO-CAPEKey Questions for GEO-CAPE
Vertical resolution and boundary layer sensitivity, especially with regard to ozone – do we need it, can we do it?
Is rule of thumb of hourly resolution driven by science?
Toolsets:
– Simulated retrievals and sensitivity tests
– OSSEs that marry retrievals and assimilation to see impact of measurements
– adjoints to quantify relationships of measurement variables and science variables
OSSE: The ozone case 6
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Suggestions in the literatureSuggestions in the literature
Simulations based on existing instrument configurations (TES+OMI) show that combination of UV/vis and IR should have better sensitivity to the boundary layer (Worden et al, 2007; Landgraf & Hasenkamp, 2007). We have extended this
to test in wide range of atmospheric conditions, range of mission designs, and in end-use science applications
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Assimilation System
Referencemodelfields
Spatio-temporalsampling
Propagationto instrument
Instrumentmodel Observations
Geophysicalparameter estimation
Sampledgeophysical
fields
Estimated fieldsor parameters
-
Comparesciencemetrics
Model prediction
Estimate modelfields or parameters
Update model
-
Observationoperator
Exploiting OSSEs in the Mission Design Process
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Our experimentsOur experiments
First phase focused on getting the right instrument sensitivity
In second phase, will study mission design in more detail
How we compare instrument & mission ideas:
Averaging kernels - are they sensitive in the region of interest?
Bias statistics - does the bias meet the requirements?
Maps of characteristics - will the spatial characteristics meet science goals?
Assimilate into model - assess ability to capture features of interest
Air quality forecast - test ideas against forecast skill
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Instrument designs evaluatedInstrument designs evaluated
Using instrument designs in the realm of EOS capabilities.
First plots focus on 6 combinations
IR: 970-1080 cm-1
UV/vis: 312-344 nm
better
OMI
AIRS
TES
IR instrumentsUV instruments
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SimulationSimulationSamplingSampling
Use GEOS-CHEM and regional model fields and geostationary viewing
Assimilate into GEOS-CHEM
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Metrics in our AnalysisMetrics in our Analysis
Pdf of truth – retrieved
-Used to derive bias (mean value of pdf)
- And rms (rms of distribution)
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Can we design an instrument to measure O3 to 5ppb Can we design an instrument to measure O3 to 5ppb at 825 hPa??at 825 hPa??
UV only
IR only
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CombinationsCombinations
Combo - high noise, low res
Combo - low noise, high res
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Looking over the range of casesLooking over the range of cases
Lower spectral resolution IR instrument (used alone or in combination with UV/vis) have large bias and rms
Combined high-spectral resolution IR and uv/vis have low bias and rms
bia
sR
ms
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Next StepsNext Steps
Complete analysis of cross-over region (3.2 and 3.6 micron) for ozone
Extends to other molecules – how important is SO2 to the science of GEO-CAPE, can a joint retrieval improve sensitivity??
Concept extends beyond GEO-CAPE to many molecules
– CO – explored by MOPITT
– CO2 and CH4 – we may see some interesting information from GO-SAT
OSSE: The ozone case 16
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Assimilation of Simulated DataAssimilation of Simulated Data
Current OSSE includes assimilation into GEOS-CHEM (2 by 2.5 degrees).
We can look at impact of simulated measurements on ozone at various levels of the atmosphere – will the measurements help us answer our science questions?
What is the impact of only a GEO measurement versus GEO plus a LEO??
Assimilation opportunities – multiple species (ozone and precursors) and regional models
OSSE: The ozone case 17
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Sensitivity between states or Sensitivity between states or parametersparameters
The sensitivity between states can be calculated this way
or that way
00 y
y
yy
N
N ∂∂
∂∂
=∂∂ ψψ
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Sensitivity Analysis: August 1st, 2006, sensitivity Sensitivity Analysis: August 1st, 2006, sensitivity of NY ozone at 2:30 pm to its precursors of NY ozone at 2:30 pm to its precursors
target regionregion of maximum sensitivity of boundary layer ozone in New York to free tropospheric NOx
The sensitivity of ozone in NY to free tropospheric NOx on 7/29/06 over Chicago is roughly half of the sensitivity to local NOx on 08/01/06
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How sensitive is ozone to local NOHow sensitive is ozone to local NOxx??
Boundary layer ozone is sensitiveto local NOx up to 3 days before
Strong diurnal variation
Highest sensitivity to morning NOx
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The maximum sensitivity of ozone in NY to free troposphericozone is roughly .2 two days before.
Does knowing free tropospheric ozone improve Does knowing free tropospheric ozone improve boundary layer ozone prediction?boundary layer ozone prediction?
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Does knowing ozone today improveDoes knowing ozone today improveozone predictability for the following day?ozone predictability for the following day?
The sensitivity of ozone to ozone on 07/31/08 is about half of ozone on 08/01/08
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ConclusionsConclusions
It is critical to tie the science questions to measurement requirements and then instrument requirements for GEO-CAPE
We have toolset for quickly making a relative comparison of nadir viewing instruments designs for atmospheric composition with simulated retrievals, assimilation, and adjoints
Analysis suggests that boundary level ozone can be measured with UV/vis paired with high spectral resolution (0.06) IR with good noise characteristics
Mission design (footprint size, frequency of measurements) to be evaluated in geostationary framework
More analysis by atmospheric sciences community important to develop consensus and move GEO-CAPE forward
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BACKUPBACKUP
OSSE: The ozone case 24
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Outline:Outline:
• Motivation: Measuring tropospheric pollution and air quality from space for GEO-CAPE
• Approach: Evaluation of possible approaches for ozone – focused on 825 hPa
• Conclusion• There are instrument designs that can measure boundary
layer ozone
• Use of uv/vis and high spectral resolution IR wavelengths together are needed to have low bias and low rms in 825 hPa ozone
• GEOS-CHEM adjoint being used to quantify spatial and temporal relationships
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Comparing statistics: varying width of IR windowComparing statistics: varying width of IR window
UV only
OSSE: The ozone case 26
IR only UV + IR
Narrow window
1043-1075
wider window
970-1080
Bias: 1.46 rms: 14.6 Bias: -4.42 rms: 16.9 Bias: 0.87 rms: 6.03
Bias: -2.44 rms: 15.4 Bias: -0.02 rms: 6.51
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Preparing to include 3.6 micronsPreparing to include 3.6 microns
Need to perform radiative transfer calculations with both solar terms and thermal emission
OSSE: The ozone case 27
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Verifying RT calculations in LIDORTVerifying RT calculations in LIDORT
OSSE: The ozone case 28
Wavenumber (2778 cm-1 = 3.6 microns)
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Next StepsNext Steps
Complete characterizations of 3.6 micron window
combine with UV/vis and IR
break down UV/vis into more specific bands (as Kelly Chance has outlined)
OSSE: The ozone case 29
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Sampling the field + retrievalsSampling the field + retrievals
Can select orbit parameters and footprints, profiles then selected from field.
Generate radiance, apply instrument function, and use linearized optimal estimation to generate simulated retrievals and error characterization (as well as averaging kernels).
Orbiter-2D
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Comparing requirements Comparing requirements to simulated performanceto simulated performance
Focus on the ozone requirements from the NRC white paper - JANZ
All figures for 825 hPa
Yellow box marks requirement
Mean bias @ 825hPa for all simulated instruments
For one simulation, histogram of error
For one simulation, distribution of error
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Where do we go from here?Where do we go from here? Important science questions with societal impacts push us
towards a new way of measuring ozone (GEO-CAPE)
– Improve air quality forecast skill
– Quantify impacts of pollution transport on regional to continental scales
– Monitor pollution emissions
CMAQ Using TES Boundary Conditions
CMAQ Prior to use of TES Current measurements fall short
for these science goals
– Limited sensitivity to the lower layers of the atmosphere
– Observations at best twice per day
National Aeronautics and Space Administration
Jet Propulsion Laboratory - California Institute of Technology OSSE: The ozone case 33
Suggestions in the literatureSuggestions in the literature
Simulations based on existing instrument configurations (TES+OMI) show that combination of UV/vis and IR should have better sensitivity to the boundary layer.
We have extended this to test in wide range of atmospheric conditions, range of mission designs, and in end-use science applications
National Aeronautics and Space Administration
Jet Propulsion Laboratory - California Institute of Technology OSSE: The ozone case 34
Using OSSEs to more fully evaluate possible Using OSSEs to more fully evaluate possible approaches (getting to the right design for the approaches (getting to the right design for the INSTRUMENT and the MISSION):INSTRUMENT and the MISSION):
Science question used to define measurement requirements
Instrument designed to meet measurement requirements (sensitivity)
Mission designed to meet measurement requirements (frequency of samples)
Thoroughly test in simulated science analysis
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Jet Propulsion Laboratory - California Institute of Technology OSSE: The ozone case 35
Measuring ozone from SpaceMeasuring ozone from Space
We have a long history of space based measurements
Many nadir viewing approaches, key for tropospheric measurements
– Total column ozone from SBUV, TOMS, and OMI based on uv/vis
– GOME, SCIAMACHY, GOME-2
– Infrared sounder measurements
» AIRS total column
» TES - profiles with ability to differentiate the upper and lower troposphere
» IASI - total columns and some thick layer vertical information