WIRING DIAGRAM APPROACH Wiring Diagram in Broader Synthesis Context Example from CHAMP Character/Advantages of Such an Exercise Key Principles and Themes.

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Presentation transcript:

WIRING DIAGRAM APPROACH Wiring Diagram in Broader Synthesis Context Example from CHAMP Character/Advantages of Such an Exercise Key Principles and Themes to Support the Approach C. Vörösmarty ARCSS Synthesis Meeting Big Sky MT 11 August 2003

Disciplinary research has studied many individual elements of the arctic water cycle These processes are linked and inter-dependent Major shortcoming of current science is the lack of integrative, interdisciplinary synthesis Key Processes and Linkages

Arctic-CHAMP Approach to Synthesis

“Simple” questions tested ---> complex interactions uncovered Gaps identified Playing field on which disagreements can arise Links physics, biochemistry, biology > 1 question can be addressed Q: What is the impact of climate change on sea ice? Feedback and System Sensitivity Studies (a la CHAMP)

COHERENT FRAMEWORKS ESSENTIAL

Stocks, residence times Critical but Uncertain Pathway: Atmospheric Budget Closure Disparity Large -- Land….1700 km 3 y -1 --Ocean….2800 km 3 y -1 A FIRST-ORDER ATTEMPT AT WATER BUDGET CLOSURE Pareto Principle 80/20 rule Early progress expected on “fundamentals” What is good enough?

Rawlins et al. (in press). Hydrological Processes Validation at “Correct” Scale: P/WBM Simulation Point-scale (Calm Stations) By Broad PPT Classes

Validation: Focus on Integrative Measures –Geospatial Fields –Transects (McGuire et al. 2002) –Discharge (Peterson et al. 2002; Yang et al. 2002; Ye et al., in press) –Tree rings/ tree lines (Briffa et al. 1998, MacDonald et al. 2000), lake sediments (Rühland et al. 2003) –Coordinated Suites of Measurements (Serreze et al. 2000, Overpeck et al. 1997) –NWP, Atmospheric Models ---> potential bias but systematic computations

Lammers et al. 2001, JGR Atmos. Station-based, Observed Hydrography Decadal-scale Changes Recorded (1970s/80s vs 90’s) Changes Complex over Space and Time GEOGRAPHY AND TIMING OF CHANGE / VARIABILITY

INTERCOMPARISONS ARE USEFUL IN BENHCMARKING OUR UNDERSTANDING ARCTIC OCEAN SEA ICE MODEL INTERCOMPARISON Wide-ranging geography of results Most have implicit FW Differences in understanding immediately highlighted

THROTTLE POINTS: e.g. AMPLIFICATION OF PRECIPITATION UNCERTAINTY ON RUNOFF UNCERTAINTY Substantial Pan-Arctic Bias in Budget Closure PPT Effect

KEY THEMES/PRINCIPLES Pose clear questions –An appropriate wiring diagram can be used to answer > 1 question Stocks and fluxes: closure, error analysis, physical consistency 1st –Integrative frameworks essential Validation: Look for integrative measures Articulate spatial and temporal variations Seek out potential throttles / attenuators Intercomparison efforts (models, field results, and data fields)