Lecture 1 : The Computational and Data Sciences

1. Lecture 1 : The Computational and Data Sciences Connecting Theory and Experiments

2. Science: Old style Theory Experiment

3. Science: New style Theory Experiment Computational Science

4. Computational Sciencea blend of disciplines

5. Data Scienceconnecting experiments back to theory Theory Experiment Computational Science

6. Data Scienceconnecting experiments back to theory Data Science Theory Experiment Computational Science

7. Data Scienceconnecting experiments back to theory Data Science Theory Experiment Computational Science

8. Data Sciencea blend of disciplines

9. Simulation movie

10. What is Science?In-class problem 1 • On a piece of paper, write down if you believe in global warming and why. • Write down something that would change your mind.

11. What is Science? • A set of facts that tells us how nature works • The product of research and analysis by professional scientists • The underlying Truth about the Universe • The collection of data an formation of a hypothesis • None of the above

12. What is Science?a) A set of facts? • We are constantly making new discoveries and collecting new data • Technology and experiments are changing • Old Theories are replaced by new Theories • Scientific ``Facts''

13. What is Science?b) The product of research and analysis by professional scientists? • What is a scientist? • Do you need a PhD? • Amateur Scientists play an important role in discovery • Being scientific DOES NOT required a Union Card

14. What is Science?c) The underlying Truth about the Universe? Truth or no truth. There is no universe

15. What is Science?c) The collection of data an formation of a hypothesis • Getting closer

16. What is Science? • the state of knowing : knowledge as distinguished from ignorance or misunderstanding • a: a department of systematized knowledge as an object of study <the science of theology> b: something (as a sport or technique) that may be studied or learned like systematized knowledge <have it down to a science> • 3 a: knowledge or a system of knowledge covering general truths or the operation of general laws especially as obtained and tested through scientific method b: such knowledge or such a system of knowledge concerned with the physical world and its phenomena :natural science • 4: a system or method reconciling practical ends with scientific laws <cooking is both a science and an art> http://www.merriam-webster.com/dictionary/science

17. What is Science?the basics • Science - A study that uses the Scientific Method • Natural Science – “A rational approach to the study of the universe‘” - Wikipedia

18. The Scientific Methoda definition • Scientific method is a body of techniques for investigating phenomena, acquiring new knowledge, or correcting and integrating previous knowledge. It is based on gathering observable, empirical and measurable evidence subject to specific principles of reasoning. A scientific method consists of the collection of data through observation and experimentation, and the formulation and testing of hypotheses. http://en.wikipedia.org/wiki/Scientific_method

19. The Scientific Methodthe process • characterization of existing data • formulation of a hypothesis • deduction - formulation of a predictive test • experimental testing • error elimination and characterization • validate or revise hypothesis

20. The Scientific MethodIn-class problem 2 • Based on the collective memory of the students in this class, we will try to reconstruct the process of the scientific method involving the issue of whether Earth orbits the Sun. Take a few minutes to write down everything you remember about this. Then think about how the elements you remember relates to the elements of the scientific process that were mentioned on the slides. • After 5-minutes, we will discuss your answers as a group.

21. Experimental Error • What time is it? • Not everyone's clock is perfectly synchronized • Error is an intrinsic part of measurement • Statistics are need to characterize error

22. The Scientific Methodclimate change – a case study • characterization of existing data • formulation of a hypothesis • deduction - formulation of a predictive test • experimental testing • error elimination and characterization • validate or revise hypothesis

23. Existing Data Qouri Kalis Glacier, Peru 1978-2002 Photo credit: Professor L. Thompson http://scrippsnews.ucsd.edu/Releases/?releaseID=703

24. Existing Data Lyell Glacier, Yosemite National Park 1903-2003 1903 taken by G.K. Gilbert 2003 taken by Hassan Basagic. http://web.pdx.edu/~basagic/snglac.html

25. Discuss the following • Glacier data are strong evidence for global warming • Glacier data are strong evidence for anthropogenic global warming • Glacier data are strong evidence for Earth being at its warmest level

26. Existing Data Temperature of Lake Superior http://www.d.umn.edu/~jaustin/ICE.html

27. Existing Data Atmospheric CO2

28. Existing Dataquestions based on study • Is the climate of Earth changing? • If the climate is changing, what are the causes?

29. Climate Changehypothesis and deduction • Hypothesis: Global Temperatures are increasing • Deduction: Historical records of temperatures will show this increase • Hypothesis: Increases in CO2 are caused by human activity • Long term data from ice cores will show rapid changes in the CO2 levels over the last few hundred years • Hypothesis: increases in CO2 caused by human activities play the dominant role in the global average temperature • Deduction: Detailed physical models of the climate will show that the increases in CO2 will cause increases in the average temperature on Earth • Natural effects may reinforce the human factors

30. Climate Changehow does the climate work? • Complex equations- • radiant heat from the Sun • energy loss to space • advection of material through winds • evaporation and changing reflectivity from clouds and ice • ocean and land differences in specific heat • weather • Way to complicated to calculate by pencil and paper!

31. Moving from Equations to Predictionscomputational science! http://celebrating200years.noaa.gov/breakthroughs/climate_model/welcome.html

32. ConclusionsIPCC Fourth Working Group “Warming of the climate system is unequivocal, as is now evident from observations of increases in global average air and ocean temperatures, widespread melting of snow and ice, and rising global average sea level...‘”

33. Conclusions IPCC Fourth Working Group ``Global atmospheric concentrations of CO2, CH4 and N2O have increased markedly as a result of human activities since 1750 and now far exceed pre-industrial values determined from ice cores spanning many thousands of years. ...Global increases in CO2 concentrations are due primarily to fossil fuel use...''

34. ConclusionsIPCC Fourth Working Group

35. Reducing and Characterizing Error • A single model usually doesn't tell you enough about the uncertainty of a model • We need to explore these assumptions of the model • Multiple runs are needed • Sometimes multiple models are needed • Changes in the outcomes show the sensitivity of the model

36. Reducing and Characterizing Error IPCC 2001, Climate Change, The Scientific Basis

37. Conclusionsclimate forcing through CO2 • ``Most of the observed increase in globally-averaged temperatures since the mid-20th century is very likely due to the observed increase in anthropogenic GHG concentrations....” • “The observed widespread warming of the atmosphere and ocean, together with ice mass loss, support the conclusion that it is extremely unlikely that global climate change of the past 50 years can be explained without external forcing, and very likely that it is not due to known natural causes alone.'' Conclusion of IPCC Fourth Working Group

38. Summary of Climate Data • Hypothesis: Global Temperatures are increasing • Hypothesis: Increases in CO2 are caused by human activity • Hypothesis: increases in CO2 caused by human activities are the dominant source in the global average temperature increases

39. Are we certain our results are correct? • All three of our hypotheses are now supported by very strong evidence • With enough evidence, a hypothesis becomes a theory • However - NO scientific conclusion is ever more than a theory, no matter how strong the evidence is! • Scientific theories can and should still be tested and refined.

40. Revised Hypothesiscomputer predictions • Existing data: Detailed computer models should that polar regions being more affected by climate change, especially in the arctic because of ocean warming • Hypothesis: Polar regions will experience rapid changes in climate • Deduction: We should be able to see changes in polar ice cover in satellite data • Experiment: Examine historical satellite data of polar ice cap data

41. The Data Sciencessatellite measurements of sea ice • Collect huge amounts of satellite images of arctic sea ice using multi-spectral scanners • Process the raw signals from the detectors into file records • Archive the records in a database • Convert the records into images • Process the images to determine the area covered by ice • Use statistics to determine any trends in the data Gigabytes or Terabytes are changed into a single plot. Data is transformed into understanding.

42. Artic Ice CapTERRA satellite [http://terra.nasa.gov/] Image from oceanmotion.org

43. Artic Ice Capdata sciences Satellite Data - 1979-2003 SSMI Composite Data See http://www.everybodysweather.com/Static_Media/Polar_Ice_Cap_Melter/index.htm

44. More Sea Ice Data

45. More Sea Ice Data http://nsidc.org/news/press/2007_seaiceminimum/20071001_pressrelease.html

46. Conclusions • ``Arctic sea ice during the 2007 melt season plummeted to the lowest levels since satellite measurements began in 1979. The average sea ice extent for the month of September was 4.28 million square kilometers (1.65 million square miles), the lowest September on record, shattering the previous record for the month, set in 2005, by 23 percent (see Figure 1). At the end of the melt season, September 2007 sea ice was 39 percent below the long-term average from 1979 to 2000. If ship and aircraft records from before the satellite era are taken into account, sea ice may have fallen by as much as 50 percent from the 1950s. The September rate of sea ice decline since 1979 is now approximately 10 percent per decade, or 72,000 square kilometers (28,000 square miles) per year.'' http://nsidc.org/news/press/2007_seaiceminimum/20071001_pressrelease.html

47. Global Warmingscientific method • Existing data • Detailed computer models should that polar regions being more affected by climate change, especially in the arctic because of ocean warming • Hypothesis: • Polar regions will experience rapid changes in climate • Deduction: • We should be able to see changes in polar ice cover in satellite data • Experiment • Examine historical satellite data of polar ice cap data • Conclusions: • Satellite data supports our hypothesis • This is additional evidence that our models are correct • The original theory of global warming is to be supported by this data

48. Climate Changeare we done now? • NO! Science is a process - NOT a set of conclusions. • The process goes on as • new experiments and new data become available • better theories and models develop • Computing is ESSENTIAL in connecting Theory to Experimental Data