Simulating International Drought Experiment Field Observations Using - - PowerPoint PPT Presentation

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Simulating International Drought Experiment Field Observations Using - - PowerPoint PPT Presentation

Simulating International Drought Experiment Field Observations Using The Community Land Model Timothy W. Hilton Elliott Campbell Michael Loik UC Santa Cruz 21 May 2019 1 Question: How will ecosystems respond to more frequent and intense


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Timothy W. Hilton Elliott Campbell Michael Loik UC Santa Cruz 21 May 2019

Simulating International Drought Experiment Field Observations Using The Community Land Model

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Question: How will ecosystems respond to more frequent and intense drought?

photo: Cal. Dept. of Water Resources, Castaic Lake, Los Angeles County, 13 April 2016

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International Drought Experiment (IDE)

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simulates the 1-in-100-years drought in the field

https://drought-net.colostate.edu/international-drought-experiment

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International Drought Experiment (IDE)

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IDE precipitation diversion structure Younger Lagoon (Santa Cruz, California)

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Simulated drought - CLM

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  • Hilton et al., Agricultural and Forest Meteorology, 2019
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Simulated drought - CLM

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  • Hilton et al., Agricultural and Forest Meteorology, 2019

Eastern USA sites (for context) Northern California Southern California

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Simulated drought - CLM

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  • Fig. 3. Long-term mean annual precipitation (pcp) (Qian et al., 2006) versus the empirically fit transition point in the modeled GPP–pcp relationship. At colored

points AIC (Akaike, 1976) preferred the two-regime straight-line fit (black lines) over a linear fit. At uncolored points GPP–pcp did not show a significant slope

  • transition. Points in magenta show a ratio between 0.8 and 1.0, indicating that the long-term mean pcp is slightly wetter than the GPP-pcp inflection point. This

suggests that a small decrease in pcp at these locations could produce a larger decline in GPP than previous behavior might indicate. (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

  • Hilton et al., Agricultural and Forest Meteorology, 2019
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Simulated drought - CLM

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  • Fig. 4. Mean annual cycle (solid and dashed lines) and 95% confidence intervals (gray envelopes) in CLM GPP at selected U.S. analysis sites (site locations in Fig. 1b

and Table 1). The means are calculated over the 15-year simulations (see Section 2).

  • Hilton et al., Agricultural and Forest Meteorology, 2019
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Hilton et al., Agricultural and Forest Meteorology, 2019

Simulated drought - CLM

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  • Fig. 5. Mean annual cycle (solid and dashed lines) and 95% confidence intervals (gray envelopes) in CLM transpiration beta factor (βt) parameter at selected U.S.

analysis sites (site locations in Fig. 1b and Table 1). Within CLM (βt) varies between 0.0 and 1.0 to attenuate photosynthesis (Oleson et al., 2010) in response to soil water shortage.

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photo: Scott Catron, 2003

Notable changes to magnitude (and seasonality) of photosynthesis. Notable differences from Northern California to Southern California.

photo: Cal. Dept. of Water Resources, Castaic Lake, Los Angeles County, 13 April 2016

Question: How will ecosystems respond to more frequent and intense drought?

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photo: Scott Catron, 2003 photo: Cal. Dept. of Water Resources, Castaic Lake, Los Angeles County, 13 April 2016

https://drought-net.colostate.edu Hilton, T. W., M. E. Loik, and J. E. Campbell (2019), Simulating International Drought Experiment field

  • bservations using the Community

Land Model, Agricultural and Forest Meteorology, 266-267, 173–183, doi:https://doi.org/10.1016/j.agrformet. 2018.12.016. Thanks to:

Question: How will ecosystems respond to more frequent and intense drought?

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Extra slides

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13 Hilton et al., Agricultural and Forest Meteorology, 2019

  • Fig. 6. Absolute decline in mean annual maximum CLM GPP, CLM control runs to CLM drought runs (drought minus control). Grey land areas denote areas masked to

water on the CLM 0.47 by 0.63 degree grid. (For interpretation of colors in this figure legend, the reader is referred to the web version of this article.)

T.W. Hilton et al.

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14 Hilton et al., Agricultural and Forest Meteorology, 2019

  • Fig. 7. Percent decline in mean annual maximum CLM GPP, CLM control runs to CLM drought runs. Grey land areas denote areas masked to water on the CLM 0.47

by 0.63 degree grid. (For interpretation of colors in this figure legend, the reader is referred to the web version of this article.)

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15 Hilton et al., Agricultural and Forest Meteorology, 2019

  • Fig. 8. Shift in day of year of mean annual maximum CLM GPP, CLM control runs to CLM drought runs. (For interpretation of colors in this figure legend, the reader is

referred to the web version of this article.)

T.W. Hilton et al.