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Why Study Climate? Hydrology as we know it is driven by the climate, primarily precipitation, Why Study Climate? Hydrology as we know it is driven by the climate, primarily precipitation,

Why Study Climate? Hydrology as we know it is driven by the climate, primarily precipitation, - PowerPoint Presentation

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Why Study Climate? Hydrology as we know it is driven by the climate, primarily precipitation, - PPT Presentation

Climate prediction is coming of age El Nino Southern Oscillation ENSO Man induced climate change Impacts on Water Resources may be significant Changed Climate Advanced Warning Goal A basic quantitative understanding of how the global climate system works to allow informed assessment ID: 1022728

wang simon climate water simon wang water climate model dingman 1994 energy cell slide upper balance gov reclamation amp

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1. Why Study Climate?Hydrology as we know it is driven by the climate, primarily precipitation, but also temperature and radiation. To understand the variability in hydrology we need to understand climate.

2. Climate prediction is coming of age?El Nino+ Southern Oscillation= ENSOMan induced climate changeImpacts on Water Resources may be significantChanged ClimateAdvanced Warning

3. Goal?A basic quantitative understanding of how the global climate system works, to allow informed assessment of climate based forecasts and their role in hydrology and water resources systems.

4. Learning ObjectivesYou should be able to quantify the energy balance of the earth and the greenhouse effectYou should be able to quantify the latitudinal distribution of energy fluxes at the earth surfaceYou should be able to describe the general circulation of the atmosphere and how this relates to the hydrologic cycle and the distribution of hydrologic processes on the earthYou should be able to describe El Nino Southern Oscillation (ENSO) and how it relates to hydrologyYou should be able to quantify the broad hydro climatological water balance at a location of interestYou should be able to apply holistic energy and mass balance analysis to examine the sensitivity of climate and hydrologic processes to changes in inputs

5. OverviewSolar RadiationAtmospheric effect on radiation (Greenhouse effect)Latitude and SeasonsGlobal Circulation patternsWeather and ClimateTeleconnections (ENSO)The distribution of hydrologic variables

6. Incoming and Outgoing Energy SpectraFrom Dingman, 2002log-scalelinear-scale

7. W/m2Year ADTotal Solar Irradiance (W/m2) reconstructed dataSlide from Simon WangSource: Delaygue and Bard (2010)

8. Global Energy BalanceSlide from Simon Wang

9. World Water BalanceFrom Brutsaert, 2005

10. Two layer atmosphere energy balance WRefer to Box 3-2 for definitions of quantities and numerical estimates of parameters

11. From Dingman, 1994

12. AtmosphereEnergy flux(transport)Energy flux(transport)Slide from Simon Wang

13. Slide from Simon Wang

14. From Dingman, 1994

15. From Dingman, 1994

16. From Dingman, 1994

17. A rotating Earth would introduce [ what ] force?Single-Cell Model Slide from Simon Wang

18. Coriolis Effecthttp://www.youtube.com/watch?v=_36MiCUS1ro&feature=related

19. Single-Cell Model:Explains why there are tropical easterlies (trade winds) “Ideal Hadley Cell (Model)”Slide from Simon Wang

20. Upper-level windsSingle-Cell Model:But there is a problem…“Ideal Hadley Cell (Model)”Slide from Simon Wang

21. Single-Cell Model:The problem is… Speed of sound: ~ 330 m/secSlide from Simon Wang

22. Single-Cell Model  Three-Cell Model Upper-level winds~100 km/hr(or 60 mph)Taking Coriolisforce into accountSlide from Simon Wang

23. Single-Cell Model  Three-Cell Model Continent-Ocean(topographical) influencesSlide from Simon Wang

24. Three-Cell Model Slide from Simon Wang

25. Three-Cell Model: Scientific evolutionThermally directcirculation forcingair towards equatorEarth’s rotation andthe conservation oflinear momentumcause the Trade WindsHadleyCoriolis force deflectswinds toward the eastand pulls air from south+ Conservation ofangular momentumFerrel170 years!Halley Slide from Simon Wang

26. From Dingman, 1994

27. From Dingman, 1994

28. From Dingman, 1994

29. Streamflow datahttp://waterwatch.usgs.gov/http://waterdata.usgs.gov/nwis

30. Precipitation Datahttp://www.climate.gov/maps-datahttp://gis.ncdc.noaa.gov/map/viewer/#app=clim&cfg=cdo&theme=hourly&layers=001&node=gis

31. PRISM Precipitation datahttp://www.prism.oregonstate.edu/

32. Water Balance Equation ∆S=P-Q-EPEQ∆SP=Q+EQ=P-E

33. From Dingman, 1994

34. PP=Q+EEE=PE=EpEQ

35. PP=Q+EEE=PE=EpEQW=Q/P 0W=Q/P 1

36. HumidAridEnergy LimitedWater LimitedEp/PRearranged with Aridity Index axesE/PEvaporative FractionDryness (Available Energy /Precip)1E=Ep Energy limited upper boundE=P Water limited upper boundQ/PBudyko, 1974

37. E/P=(R/P) Budyko, 1974E/PEvaporative FractionDryness (Available Energy/Precip)R/P1  2

38. Some examples from UtahIDWatershed1302West Canyon Creek near Cedar Fort 1402White River Below Tabbyune Creek2102Yellowstone River near Altonah2104Duchesne River near Tabiona

39. What else controls the water balance partition function (Budyko curve)? Evapotranspiration fractionDryness (available energy /precip)1humidaridenergy limitedwater limitedR/PE/PE = R : energy limited upper boundlargesmallSoil Storage/ Retention or Residence timemediumE = P : water limited upper boundTheoretical functional formf(R/P, S/(P))

40. Explains 88% of geographic varianceRemaining 12% difference is consistent with uncertainty in model input and observed runoffUncalibrated Runoff RatioLowHighMilly, P. C. D., (1994), "Climate, Soil Water Storage, and the Average Annual Water Balance," Water Resources Research, 30(7): 2143-2156.

41. Milly/Budyko Model – Framework for predictions hypothesis testingMilly, P.C.D. and K.A. Dunne, 2002, Macroscale water fluxes 2: water and energysupply control of their interannual variability, Water Resour. Res., 38(10).Increasing Retention or Soil capacityQ/PIncreasing variability in P – both seasonally and with storm eventsIncreasing variability in soil capacity or areas of imperviousness

42. From Dingman, 1994

43. El Niñowhat used to be a local feature has turned into a global phenomenon Slide from Simon WangTeleconnections

44. Ekman spiralCostal upwellingSea surface temperaturewarmsurface chlorophyll content high productivityNimbus 7 satelliteSlide from Simon Wang

45.  affects air pressureSlide from Simon Wang

46. El Niño: local phenomenon  regional  global !!  “coupled” modeSlide from Simon Wang

47. From Dingman, 1994

48. 2-D structureENSO ModelSlide from Simon Wang

49. 3-D structureENSO ModelSlide from Simon Wang

50. Coupled System: NormalA thermocline is a thin layer in the ocean in which temperature changes more rapidly with depth than above or below. The thermocline appears to be an invisible blanket which separates the upper mixed layer from the calm deep water below.Slide from Simon Wang

51. Coupled System: El NiñoSlide from Simon Wang

52. Coupled System: La NiñaSlide from Simon Wang

53. Index:(Sea)(Air)ENSO MonitoringSlide from Simon Wang

54. From Dingman, 1994

55. From Mitchell, Reviews of Geophysics, 1989

56. From Mitchell, Reviews of Geophysics, 1989++= ?

57. SSTASlide from Simon Wang

58.

59.

60.

61. From: United States Bureau of Reclamation, (2011), "SECURE Water Act Section 9503(c) – Reclamation Climate Change and Water, Report to Congress," U.S. Department of the Interior, Bureau of Reclamation, Denver, Colorado, http://www.usbr.gov/climate/SECURE/docs/SECUREWaterReport.pdf.

62. From: United States Bureau of Reclamation, (2011), "SECURE Water Act Section 9503(c) – Reclamation Climate Change and Water, Report to Congress," U.S. Department of the Interior, Bureau of Reclamation, Denver, Colorado, http://www.usbr.gov/climate/SECURE/docs/SECUREWaterReport.pdf.

63. From Dingman, 2002

64. Rodriguez-Iturbe, I. and A. Porporato, (2004), Ecohydrology of Water-Controlled Ecosystems, Cambridge University Press, 442 p.Eagleson, P. S., (2002), Ecohydrology, Darwinian Expression of Vegetation Form and Function, Cambridge University Press, 443 p.