Updates on data details & running a hydrologic model on tree - - PowerPoint PPT Presentation

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Updates on data details & running a hydrologic model on tree - - PowerPoint PPT Presentation

Steph McAfee University of Nevada, Reno Nevada State Climate Office Updates on data details & running a hydrologic model on tree rings Data details The number and location of stations changed over time. 1900 1920 1940


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Updates on data details & running a hydrologic model on tree rings

Steph McAfee University of Nevada, Reno Nevada State Climate Office

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Data details

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The number and location of stations changed over time.

1900 1920 1940

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Especially since the late 1970s

1970 1980 1960

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Average station elevation* has increased.

* And a host of other things.

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Lapse rates decrease over time.

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Minimum temperatures cool as station elevation increases.

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So what does this mean?

  • We might be underestimating high-elevation warming.
  • This might mean we’re overestimating the influence of

temperature on flow.

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 Running a hydrological model on tree rings

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Theory: plug reconstructions into model

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Reality: resolution mismatch

Monthly grids of data Seasonal basin-wide data

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Resolution: K- nearest neighbor resampling

50 100 150 200 250 300 350 1560 1660 1760 1860 1960 October - April UCRB precipitation (mm)

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K- nearest neighbor resampling

Reconstructed October – April precipitation 

PRISM October : September precipitation

Reconstructed May – July temperature 

PRISM October : September temperature

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Theory: one-to-one relationship

50 100 150 200 250 300 350 50 100 150 200 250 300 350 Reconstructed Observed

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Reality: reconstructions miss extremes

50 100 150 200 250 300 350 1950 1960 1970 1980 1990 2000 October - April UCRB precipitation (mm) Observed Reconstructed

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Resolution: KNN on percentiles

1.

Translate reconstructed amount to percentile.

2.

Weighted KNN to select a close percentile.

3.

Calculate an adjustment factor.

4.

Find the precipitation amount closes to that percentile.

5.

Pull all months from that water year.

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Apply the adjustment to all of them

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How’s it look? Precipitation

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How’s it look? Temperature

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How’s it look? Temperature

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In summary

  • Translating the reconstructed temperature and precipitation into

data that the Water Balance Model could use required a number

  • f steps, but
  • the process seems to be working!