1 / 8

Overall Design

Combining Ecological and Atmospheric Observations to Understand Carbon Budgets Using Models with MODIS, LANDSAT, and GOSAT data Scott Denning, Ian Baker, Kathy Corbin Haynes, Nick Parazoo , David Baker, Taka Ito, James Collatz, Randall Kawa , Becky McKeown , and Tomohiro Oda.

jasia
Download Presentation

Overall Design

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. Combining Ecological and Atmospheric Observations to Understand Carbon Budgets Using Models with MODIS, LANDSAT, and GOSAT dataScott Denning, Ian Baker, Kathy Corbin Haynes, Nick Parazoo, David Baker, Taka Ito, James Collatz, Randall Kawa, Becky McKeown, and Tomohiro Oda

  2. Overall Design

  3. Terrestrial Ecosystem Module(Extension of SiB) • Prognostic phenology w/MODIS data assimilation for fPAR/LAI • Crop physiology, phenology, and mapping • Time-scale separation of GPP & Resp • Allocation, storage, disturbance • Initialization using LandSat-based NAFD • Optimization of state variables

  4. Heterogeneity

  5. Crops

  6. Maximum Likelihood Ensemble Filter Prior b=0.0; sbland=0.2; sbocean= 0.1 Nens= 100; Assimilation Window = 2 weeks Covariance Propagation using persistence Covariance smoothing for “cold start” only

  7. 1 Day Observation Operator • Pressure-weighted atmospheric column sampling on 1 PM EQT polar orbit • NCEP cloud mask • 1, 2, and 3 ppm random error in grid cells w/ < 30% cloud 14 days 1 Month 1 Year

  8. Result: Annual Terrestrial NEE Retrieval SciFi Truth Difference Retrieval error = 3 ppm

More Related