Title: Peter Schultz, Ph'D'
1CLIVAR and the U.S.Climate Change Science
Program U.S. CLIVAR SummitKeystone,
ColoradoAugust 15, 2005
- Peter Schultz, Ph.D.
- Associate Director for Science Integration
- Climate Change Science Program Office
2CLIVAR - CCSP LINKAGE
- CCSP is counting on U.S. CLIVAR!
- Agencies that fund U.S. CLIVAR are accountable to
CCSP Milestones, Products, and Payoffs. - Agency priorities are linked to CCSP priorities.
- CCSP provides a vital framework for CLIVAR
3CCSP Background
- U.S. Global Change Research Program (USGCRP)
1990 - Climate Change Research Initiative (CCRI) 2001
- Climate Change Science Program (CCSP) 2002
- CCSP encompasses CCRI and USGCRP
- Coordinates integrates climate research
- Composed of 13 Departments / Agencies
- 2B/year
4CCSP Strategic Plan
Released July 2003
Vision A nation and the global community
empowered with the science-based knowledge to
manage the risks and opportunities of change in
the climate and related environmental
systems. www.climatescience.gov
5CCSP Internal Structure
CCSP Interagency Committee Director Asst. Sec.
of Commerce for Oceans
Atmosphere
CCSP Office
Atm. Comp.
Climate Var. Change
Carbon Cycle
Interagency Working Groups
Communications
HD / HCR
Ecosystems
Water Cycle
LULCC
International
Observations
6CCSP Goals
- CCSP GOALS
- 1. Improve Knowledge of Climate and Environment
- 2. Improve Quantification of Forces Driving
Changes to Climate - 3. Reduce Uncertainty in Projections of Future
Climate Changes - 4. Understand Sensitivity Adaptability of
Natural Manmade Ecosystems - 5. Explore Uses and Limits of Managing Risks and
Opportunities
RELEVANCE TO CLIVAR HIGH Phenom., Obs.,
Synth. Panel Process Studies Model Improve.
Panel MOD.HIGH HIGH Process Studies
Model Improve. Panel Predictabil., Predict.,
Applicat. Panel LOW MOD.-HIGH Predictabil.,
Predict., Applicat. Panel
7RELEVANT CCSP ELEMENTS
- CLIMATE VARIABILITY AND CHANGE
- Q 4.1. To what extent can uncertainties in model
projections due to climate system feedbacks be
reduced? - Milestones, Products, and Payoffs include
- - Refined estimates of feedback processes (and
climate sensitivity) and their representation in
models, leading to a narrowing of climate model
projections (2-4 yrs) - - Improved climate data products, including,
e.g., assimilation and reanalysis of Earth system
data from satellites and in situ for model
development and testing high-res. regional data
2-4 yrs - - Increased understanding of the causes of
climate var. change 2-4 yrs - - Targeted paleoclimate time series 2-4 yrs
- - Improved effectiveness of observing systems
based in part on model guidance 2-4 yrs
8RELEVANT CCSP ELEMENTS
- CLIMATE VARIABILITY AND CHANGE (cont.)
- Q 4.2. How can predictions and projections of
climate be improved, and what are limits of
predictability? - Milestones, Products, and Payoffs include
- - Improved probability forecasts of regional
manifestations of seasonal climate anomalies lt2
yrs and beyond - - Improved high-res, 3-D ocean circulation
models 2-4 yrs - - Improvements in the representation of major
modes of climate variability in climate
predictions and projections gt4 yrs - - An assessment of potential predictability
beyond ENSO (e.g., assoc. with PDV, NAO, annular
modes, tropical Atl. and Indian Oc. gt4 yrs - - Estimates of limits of predictability of
variability change forced by human activities
gt4 yrs
9RELEVANT CCSP ELEMENTS
- CLIMATE VARIABILITY AND CHANGE (cont.)
- Q 4.3. What is the likelihood of abrupt changes
in the climate system? - Milestones, Products, and Payoffs include
- Improved understanding of thresholds and
nonlinearities in the climate system, especially
for coupled atm-oc, thermocline and deepwater,
hydrology, gt4 yrs - Databases of drought/megadrought in N. America
2-4 yrs - Online database of annual-to-decadal resolution
time series and maps of Arctic climate
variability over the past 2,000 years 2-4 yrs - Probabilistic estimates of future risks of abrupt
global and regional climate-induced changes,
including the collapse of the THC, persistent
ENSO conditions, and abrupt sea level rise 2-4
yrs
10RELEVANT CCSP ELEMENTS
- CLIMATE VARIABILITY AND CHANGE (cont.)
- Q 4.4. How are extreme events related to climate
variability and change? - Milestones, Products, and Payoffs include
- - Improved obs and model databases to detect and
analyze trends in extreme events 2-4 yrs - - Analysis of the relationships between extreme
events and natural climate variations and modes
2-4 yrs - - Assessment of potential predictability and
forecasts of probabilities of extreme events
2-4 yrs - - Probabilistic estimates of possible future
changes in frequencies, intensities, and geog.
distributions of extreme events 2-4 yrs
11RELEVANT CCSP ELEMENTS
- CLIMATE VARIABILITY AND CHANGE (cont.)
- Q 4.5. How can information on climate var.
change be most efficiently developed and
integrated with non-climatic knowledge, and
communicated to serve society? - Milestones, Products, and Payoffs include
- - Establishment of research teams involving
climate and social scientists and stakeholders to
create focused, user-responsive partnerships lt2
yrs and beyond - - Assessment of the adequacy of existing
operational climate monitoring networks to
provide regional decision support 2-4 yrs - - Development of high-resolution climate
products based on obs, paleo data, and climate
forecasts 2-4 yrs - - Documented regional impacts of climate var.,
and development of reports on the potential
implications of projected changes gt 4yrs
12RELEVANT CCSP ELEMENTS
- WATER CYCLE
- Q 5.1. What are the mechanisms and processes
responsible for the maintenance and variability
of the water cycle? Trends? Causes of trends? - Q 5.2. How do feedback processes control
interactions between the global water cycle and
other parts of the climate system? - Q 5.3. What are the key uncertainties in S-I
predictions and long-term projections of water
cycle variables, and what model improvements are
needed?
13RELEVANT CCSP ELEMENTS
- WATER CYCLE (cont.)
- Q 5.4. What are the consequences of water cycle
variability and change to societies and
ecosystems? - Q 5.5. How can global water cycle information be
used to inform decision processes in the context
of changing water resource conditions and
policies? - ATMOSPHERIC COMPOSITION
- Q 3.5 What are the couplings and feedback
mechanisms among climate change, air pollution,
and ozone layer depletion?
14RELEVANT CCSP ELEMENTS
- MODELING
- Goal 1. Improve the scientific basis of climate
and impacts models. - Goal 2. Provide the infrastructure and capacity
necessary to support a scientifically rigorous
and responsive U.S. climate modeling activity. - Goal 3. Coordinate and accelerate climate
modeling activities and provide relevant decision
support information on a timely basis.
15RELEVANT CCSP ELEMENTS
- OBSERVATIONS
- Goal 1. Design, develop, deploy, integrate, and
sustain observation components into a
comprehensive system. - Goal 2. Accelerate the development and deployment
of observing and monitoring elements needed for
decision support. - Goal 3. Provide stewardship of the observing
system. - Goal 4. Integrate modeling activities with the
observing system. - Goal 5. Foster international cooperation to
develop a complete global observing system. - Manage the observing system with an effective
interagency structure.
16RELEVANT CCSP ELEMENTS
- OTHER KEY CCSP RESEARCH ELEMENT LINKAGES
- - CARBON CYCLE
- - LAND USE / LAND COVER CHANGE
- - ECOSYSTEMS
- - HUMAN CONTRIBUTIONS AND RESPONSES
17Synthesis Assessment Products
- 21 CCSP SYNTHESIS AND ASSESSMENT PRODUCTS
- Current evaluations of the science foundation
that can be used for informing public debate,
policy, and operational decisions, and for
setting future direction and priorities of the
program - CLIVAR-Relevant SA Products
- 1.1 Temperature trends
- 1.2 Past Arctic climate variability and change
- 1.3 Re-analyses of historical climate data.
Implications for attribution - 3.1 Climate models and their uses and
limitations - 3.2 Climate projections
- 3.3 Climate extremes
- 3.4 Risks of abrupt climate change
- 5.1 Uses and limitations of climate information
in decision support - 5.2 Characterizing scientific uncertainty to
inform decisionmaking - 5.3 Decision support using S-I forecasts and
observational data
18Synthesis Assessment Products
- CONCLUSIONS
- It is in U.S. CLIVARs self-interest to account
for relevant CCSP research elements in its
planning. - CCSP encourages movement toward providing
capabilities, products, and information to inform
stakeholders and decision-makers. - Think carefully about demonstrating progress
(via metrics) toward CCSP objectives. - Strong scientific leadership by CLIVAR
(scientists and agencies) is required. - A robust partnership between CCSP and CLIVAR
may yield benefits for both.
19Synthesis Assessment Products
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23CCSP Workshop
- Location Marriott Crystal Gateway, Arlington,
VA - Purpose To facilitate exchange of ideas among
the government, academic, international, NGO, and
stakeholder groups participating in the CCSP
process. - Topics Discussions will include the scientific
basis and the use of the CCSP Synthesis and
Assessment Products in addressing CCSPs three
decision support goals - Prepare scientific syntheses and assessments
(national and international) - Develop and illustrate adaptive management and
planning capabilities. - Develop and evaluate methods to support climate
change policy inquiries - Registration http//www.climatescience.gov/works
hop2005/
24Synthesis Assessment Products
U.S. CLIVAR reorganization aligns well with CCSP
Phenomenology, Observations, and Synthesis
Panel (POS) Goal 1 Process Studies and Model
Improvement Panel (PSMI) Goals 1
3 Predictability, Prediction, Applications
Interface Panel (PPAI) Goals 3 5