Title: Modeling Goals and Objectives Future Directions
1Modeling Goals and Objectives / Future Directions
Break-out Group 1
2Carbon Cycle and Ecosystems Focus Area
- The Legacy Roadmap for
- Carbon Cycle Ecosystems
3Carbon Cycle and Ecosystems
Knowledge of the interactions of global
biogeochemical cycles and terrestrial and marine
ecosystems with global environmental change and
their implications for the Earths climate,
productivity, and natural resources is needed to
understand and protect our home planet.
- Important Concerns
- Potential greenhouse warming (CO2, CH4) and
ecosystem interactions with climate - Carbon management (e.g., capacity of plants,
soils, and the ocean to sequester carbon) - Productivity of ecosystems (food, fiber, fuel)
- Ecosystem health and the sustainability of
ecosystem goods and services - Biodiversity and invasive species
NASA provides the global perspective and unique
combination of interdisciplinary science,
state-of-the-art Earth system modeling, and
diverse synoptic observations needed to document,
understand, and project carbon cycle dynamics and
changes in terrestrial and marine ecosystems and
land cover.
4Integrated global analyses
Carbon Cycle and Ecosystems Roadmap
Human-Ecosystems-Climate Interactions (Model-Data
Fusion, Assimilation) Global Air-Sea Flux
Sub-regional sources/sinks
T
Funded
High-Resolution Atmospheric CO2
Unfunded
Process controls errors in sink reduced
Southern Ocean Carbon Program, Air-Sea
CO2 Flux
Partnership
Models w/improved ecosystem functions
T Technology development
Physiology Functional Types
T
Reduced flux uncertainties coastal carbon
dynamics
Coastal Carbon
Field Campaign
Reduced flux uncertainties global carbon
dynamics
Global Ocean Carbon / Particle Abundance
Goals Global productivity and land cover change
at fine resolution biomass and carbon fluxes
quantified useful ecological forecasts and
improved climate change projections
Vegetation 3-D Structure, Biomass, Disturbance
T
Terrestrial carbon stocks species habitat
characterized
CH4 sources characterized and quantified
Global CH4 Wetlands, Flooding Permafrost
Knowledge Base
Global Atmospheric CO2 (OCO)
Regional carbon sources/sinks quantified for
planet
N. American Carbon Program
N. Americas carbon budget quantified
Effects of tropical deforestation quantified
uncertainties in tropical carbon source reduced
Land Use Change in Amazonia
2002 Global productivity and land cover
resolution coarse Large uncertainties in
biomass, fluxes, disturbance, and coastal events
Models Computing Capacity
Process Understanding
Case Studies
Improvements
P
Land Cover (Landsat)
LDCM
Land Cover (OLI)
Systematic Observations
Ocean Color (SeaWiFS, MODIS)
Ocean/Land (VIIRS/NPP)
Ocean/Land (VIIRS/NPOESS)
Vegetation (AVHRR, MODIS)
Vegetation, Fire (AVHRR, MODIS)
IPCC
IPCC
2010
2012
2014
2015
2008
2002
2004
2006
Global C Cycle
Global C Cycle
NA Carbon
NA Carbon
5Integrated global analyses
Carbon Cycle and Ecosystems Roadmap
Human-Ecosystems-Climate Interactions (Model-Data
Fusion, Assimilation) Global Air-Sea Flux
Sub-regional sources/sinks
T
Funded
High-Resolution Atmospheric CO2
Unfunded
Process controls errors in sink reduced
Southern Ocean Carbon Program, Air-Sea
CO2 Flux
Partnership
Models w/improved ecosystem functions
T Technology development
Physiology Functional Types
T
Reduced flux uncertainties coastal carbon
dynamics
Coastal Carbon
Field Campaign
Reduced flux uncertainties global carbon
dynamics
Global Ocean Carbon / Particle Abundance
Goals Global productivity and land cover change
at fine resolution biomass and carbon fluxes
quantified useful ecological forecasts and
improved climate change projections
Vegetation 3-D Structure, Biomass, Disturbance
T
Terrestrial carbon stocks species habitat
characterized
CH4 sources characterized and quantified
Global CH4 Wetlands, Flooding Permafrost
Knowledge Base
Global Atmospheric CO2 (OCO)
Regional carbon sources/sinks quantified for
planet
N. American Carbon Program
N. Americas carbon budget quantified
Effects of tropical deforestation quantified
uncertainties in tropical carbon source reduced
Land Use Change in Amazonia
2002 Global productivity and land cover
resolution coarse Large uncertainties in
biomass, fluxes, disturbance, and coastal events
Models Computing Capacity
Process Understanding
Case Studies
Improvements
P
Land Cover (Landsat)
LDCM
Land Cover (OLI)
Systematic Observations
Ocean Color (SeaWiFS, MODIS)
Ocean/Land (VIIRS/NPP)
Ocean/Land (VIIRS/NPOESS)
Vegetation (AVHRR, MODIS)
Vegetation, Fire (AVHRR, MODIS)
IPCC
IPCC
2010
2012
2014
2015
2008
2002
2004
2006
Global C Cycle
Global C Cycle
NA Carbon
NA Carbon
6Predicting Carbon Cycling
Anticipated Outcomes and Uses of Results
Result / Capability
Products / Uses for Decision Support
Quantitative global monitoring evaluation
tools to assess the efficacy of carbon
management (e.g. sequestration in biomass) to
assess agricultural, forest, and fisheries
productivity for use in verifying emissions
and/or sequestration reporting by nations/sectors.
Global primary productivity and land cover change
time series variability and trends quantified at
moderate to fine spatial resolution. Carbon
sources and sinks identified and quantified.
Quantification of carbon and nutrient storage and
fluxes, disturbance and recovery processes, and
ecosystem health. Quantification of controlling
processes and their interactions.
Maps, data products and information on
relationships among them as input for decision
support systems. Simulation models that enable
If , then scenarios to be explored.
Models that - achieve carbon balance -
reliably characterize interannual variability
and sub-regional processes -
quantitatively portray multiple, interacting
controlling processes - are able to correctly
simulate past land cover, ecosystem
dynamics and biogeochemical cycling
Ecological Forecasts Projections of changes in
carbon sources and sinks, land cover, and
ecosystem dynamics due to combinations of
real-world forcings of global environmental
change with sub-regional specificity and good
reliability for 6 mos. to 2 years into the
future (e.g., harmful algal blooms, invasive
species). ---------------------------------------
----- Inputs for Climate Projections Credible,
useful projections of future climate change
(including improved ecosystem feedbacks and
projections of CO2 and CH4 concentrations) for
50-100 years into the future for a variety of
policy-relevant if , then scenarios.
7Carbon Cycle Ecosystems Science Questions
- How are global ecosystems changing?
- What trends in atmospheric constituents and
solar radiation are driving global climate? - What changes are occurring in global land cover
and land use, and what are their causes? - How do ecosystems, land cover and biogeochemical
cycles respond to and affect global environmental
change? - What are the consequences of land cover and land
use change for human societies and the
sustainability of ecosystems? - What are the consequences of climate change and
increased human activities for coastal regions?
- How will carbon cycle dynamics and terrestrial
and marine ecosystems change in the future? - Question shared with other Focus
Areas
8Why Carbon Cycle?
- Atmospheric concentrations of CO2 CH4, both
greenhouse gases, have increased dramatically in
the past 200 years due to fossil fuel burning and
land cover/use change - There is potential to mitigate climate change
effects by enhancing biospheric carbon uptake and
storage (i.e., carbon sequestration) - Better predictions of future atmospheric CO2
CH4 and ecosystem carbon dynamics are needed to
improve climate projections and scenarios used
for decision making
9Research Challenges Carbon Cycle
- Closing the global carbon budget ( quantifying
components) - quantifying North Americas carbon sources and
sinks, understanding their interannual
variability, and explaining causes - locating and explaining the Northern Hemisphere
terrestrial sink - determining the size, function, and controls on
oceanic sinks - clarifying carbon source/sink dynamics and trends
in the tropics - Projecting future concentrations of CO2 and CH4
and changes in terrestrial and aquatic carbon
cycling dynamics - developing capable carbon cycle, ecosystem, and
carbon data assimilation models - quantifying errors and characterizing
uncertainties associated with model inputs and
outputs - collaborating with modelers in other Focus Areas
to develop fully coupled, integrated Earth system
models that incorporate projections of future
carbon cycle dynamics
10Why Ecosystems?
- Ecosystems sustain us, providing food, fiber,
energy, shelter, clean air water, biodiversity,
recycling of elements, wildlife habitat, and
cultural spiritual returns (i.e., ecosystem
goods services) - Ecosystems are changing and we are causing many
of the changes - thresholds regime shifts
- alterations in resource availability
- loss of biodiversity
- economic an societal impacts
- Feedbacks to the Earth system
- climate, energy water cycle
- atmospheric chemistry biogeochemical cycles
11Research Challenges Ecosystems
- Understanding the effects of global climate
change on terrestrial and aquatic ecosystems - evaluating the combined effects of multiple,
interacting influences and stresses on ecosystem
structure and function - characterizing and quantifying disturbances
- understanding threshold effects and regime shifts
- developing the capability to effectively model
ecosystem dynamics and changes - Characterizing and quantifying feedbacks to the
climate system (physical and chemical) - Learning how to manage ecosystems for multiple
end uses - Documenting the range and distribution of
organisms of importance (species with vital
functions, invasive species, pathogens, etc.) and
modeling to predict future distributions - Understanding relationships between biodiversity
and ecosystem functioning (e.g., productivity,
biogeochemical cycling, biological services,
resilience adaptability)
12Why Land Cover and Land Use Change?
- Changes in land cover/use are an independent
forcing of global environmental change - These changes are under strong human influence
and can be managed to serve human needs - Past land use practices affect present future
ecosystem function (i.e., land use legacies) - Land cover/use changes interact with climate
variability change to effect global change - They cause direct feedbacks to the climate system
- They affect ecosystem goods services and carbon
dynamics
13Research Challenges Land Cover and Land Use
Change
- Documenting the spatial and temporal dynamics of
land cover and land use change - Developing understanding of the combined human
and natural causes of land cover and land use
changes and how they interact at regional and
global scales - Characterizing and quantifying the role of
fragmentation and degradation, the role of
multiple drivers of change, the role of
institutions, and the interactions among drivers
and types of land use change - Projecting land use and land cover 5-50 years
into the future
14Applications of National Priority
Public Health
15Research Challenges Carbon Cycle Ecosystems
Research ? Applications
- Advancing the remote sensing, spatial analysis,
information management, and decision support
tools needed to evaluate management and
mitigation options for responding to - climate change
- management of carbon in the environment
- threats to sustainable resource use and the
productivity of agricultural systems and coastal
fisheries - changes in or loss of habitat and reductions in
biodiversity - non-indigenous species invasions
16CCE Missions / Mission Studies
- Vegetation 3-D Structure, Biomass, and
Disturbance. Vegetation height profiles over the
Earths land surface are needed to estimate
biomass and carbon stocks and to quantify biomass
recovery following disturbance. - - Candidate technological approaches are lidar
profiling, P-band SAR, and interferometric SAR
(InSAR). The combination of a profiling lidar and
a P-band (or L-band?) SAR represents the most
promising approach to meeting the requirements
for accuracy and global coverage. - - Relevant Decadal Survey White Papers Biomass
Monitoring Mission (BioMM), also Multiplatform
Interferometric SAR for Forest Structure, Biomass
Monitoring Mission Lidar (BioMM-L), InSAR
Applications for Exploration of the Earth, and,
possibly, Structure and Inventory of Vegetated
Ecosystems (STRIVE) - Physiology and Functional Types. Global
observations of plant functional types and
physiological function are required. Spectral
coverage and sampling, spatial resolution, and
temporal sampling must be optimized for
terrestrial and aquatic ecosystems and to match
their physical-ecological scales of variability. - - A polar orbiter for land with an imaging
spectrometer and a polar orbiter for the ocean
carrying an advanced spectrometer paired with
multiple active lidars seem most feasible, but a
single mission may be possible. - - Relevant Decadal Survey White Papers Flora
Mission for Ecosystem Composition, Disturbance,
and Productivity also PHYTOSAT A Space Mission
to Observe Phytoplankton and Assess its Role in
the Oceanic Carbon Cycle
17CCE Missions / Mission Studies
- Global Ocean Carbon Ecosystems and Coastal
Processes. New space-based global observations
are needed over an expanded spectral range and
with finer resolution to allow for the accurate
separation of in-water constituents (e.g.,
colored dissolved organic material, particle
abundance, functional groups) and support the
evolution of advanced ocean color algorithms. - - A new baseline mission to characterize ocean
constituents and make supporting aerosol
observations to effectively utilize the new
spectral ocean color information. This mission
provides global coverage of continental shelves
and near-shore environments and key polar
regions. - - Relevant Decadal Survey White Papers OCEaNS
(Ocean Carbon, Ecosystems, and Near-shore) - Profiles of Atmospheric CO2. Measure high
resolution columns and profiles of CO2 and other
biogeochemically produced greenhouses gases in
order to locate and quantify surface sources and
sinks. This missions measurements of carbon
sources and sinks will be used to develop and
explain annual global carbon budgets, evaluate
international reporting of greenhouse gas
emissions and carbon sequestration, and as inputs
to decision support for carbon accounting and
management. - - Determine distribution of CO2 abundance with
improved sensitivity in the lowermost 5 km of the
troposphere with measurement precision of 1-2 ppm
CO2 on a grid no coarser than 100km x 100km and
an ability to screen for clouds. - - Relevant Decadal Survey White Papers
18Modeling Break-out Questions
- 1. Modeling goals objectives/future
directionsChairs George Hurtt, Dennis Ojima
Room 1109/1111 - What are the most important modeling needs and
challenges for NASA to address in the next few
years? - How could the current program "portfolio" be
improved? - What should the role of Terrestrial Ecology and
related programs be in the advancement toward
integrated Earth system models? - What results from this area feed into NASA's
Ecological Forecasting program? How can this
transition be improved/strengthened? How do we
know/decide when a modeling capability has
matured to the stage it can be used in decision
support?