1 / 17

Comparing Simulated and Observed Gross Primary Productivity

Comparing Simulated and Observed Gross Primary Productivity .

evelia
Download Presentation

Comparing Simulated and Observed Gross Primary Productivity

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Comparing Simulated and Observed Gross Primary Productivity Kevin Schaefer, Altaf Arain, Alan Barr, Jing Chen, Ken Davis, Dimitre Dimitrov, Ni Golaz, Timothy Hilton, David Hollinger, Elyn Humphreys, Benjamin Poulter, Brett Raczka, Andrew Richardson, Alok Sahoo, Christopher Schwalm, Peter Thornton, Rodrigo Vargas, Hans Verbeeck, Chris Williams NACP Synthesis Management Team Ameriflux and Fluxnet Canada Investigators Modeling Team Investigators

  2. Objectives • Quantify how well models simulate GPP • Identify sources of error

  3. 32 Flux Tower Sites

  4. 21 Models, 3 MODIS, 2 Model Mean

  5. Model Runs Gap-filled observed weather Steady state Observed NEE partitioned into GPP & respiration GPP Uncertainty Random U* filtering Gap-filling Partitioning

  6. Model-Data Comparison • Daily average GPP • Performance Measures • Chi-squared statistic • Root Mean Squared Error • Normalized Mean Absolute Error • Bias

  7. Overall Model Performance Daily GPP Taylor Plot Standard Deviation Ratio GPP Ratio Optimized Model C5 C5.1 MODIS Model Mean

  8. Typical GPP Observed Simulated Monthly Average GPP for CA-Ca1 GPP (mmol m-2 s-1) Date (Year)

  9. Light Use Efficiency Curves Observed Simulated Daily AverageGPP for CA-Ca1 GPP (mmol m-2 s-1) Daily Average Shortwave Radiation (W m-2)

  10. Temperature Response Curves Observed Simulated Daily Average GPP for CA-Ca1 GPP (mmol m-2 s-1) Daily Average Temperature (°C)

  11. Conclusions • Models don’t simulate GPP well • Bias in seasonal amplitude • Improve LUE • Improve Temperature Response

  12. Acknowledgments • Funding provided by NASA, NOAA, and NSF

  13. Statistics C2~ 1 model matches data within uncertainty Chi-squared Root Mean Square Error RMSE = 0 perfect fit with data Normalized Mean Absolute Error NMAE = 0 perfect fit with data Bias B > 0 model greater than data

  14. Overall Performance by Model

  15. Ratio of Annual GPP Amplitude Percent Years (%) Simulated:Observed Amplitude Ratio (-)

  16. GPP Total Uncertainty for CA-Ca1 GPP Uncertainty (mmol m-2 s-1) Date (year)

  17. GPP Uncertainty for CA-Ca1 Daily Average GPP GPP Uncertainty (mmol m-2 s-1) Date (year)

More Related