Creator |
-
Schaefer, Kevin
-
Schwalm, Christopher R.
-
Williams, Chris
-
Arain, M. Altaf
-
Barr, Alan
-
Chen, Jing M.
-
Davis, Kenneth J.
-
Dimitrov, Dimitre
-
Hilton, Timothy W.
-
Hollinger, David Y.
-
Humphreys, Elyn
-
Poulter, Benjamin
-
Raczka, Brett M.
-
Richardson, Andrew D.
-
Sahoo, Alok
-
Thornton, Peter
-
Vargas, Rodrigo
-
Verbeeck, Hans
-
Anderson, Ryan
-
Baker, Ian
-
Black, T. Andrew
-
Bolstad, Paul
-
Chen, Jiquan
-
Curtis, Peter S.
-
Desai, Ankur R.
-
Dietze, Michael
-
Dragoni, Danilo
-
Gough, Christopher
-
Grant, Robert F.
-
Gu, Lianhong
-
Jain, Atul
-
Kucharik, Chris
-
Law, Beverly
-
Liu, Shuguang
-
Lokipitiya, Erandathie
-
Margolis, Hank A.
-
Matamala, Roser
-
McCaughey, J. Harry
-
Monson, Russ
-
Munger, J. William
-
Oechel, Walter
-
Peng, Changhui
-
Price, David T.
-
Ricciuto, Dan
-
Riley, William J.
-
Roulet, Nigel
-
Tian, Hanqin
-
Tonitto, Christina
-
Torn, Margaret
-
Weng, Ensheng
-
Zhou, Xiaolu
|
Abstract |
- Accurately simulating gross primary productivity (GPP) in terrestrial ecosystem models is critical because errors in simulated GPP propagate through the model to introduce additional errors in simulated biomass and other fluxes. We evaluated simulated, daily average GPP from 26 models against estimated GPP at 39 eddy covariance flux tower sites across the United States and Canada. None of the models in this study match estimated GPP within observed uncertainty. On average, models overestimate GPP in winter, spring, and fall, and underestimate GPP in summer. Models overpredicted GPP under dry conditions and for temperatures below 0°C. Improvements in simulated soil moisture and ecosystem response to drought or humidity stress will improve simulated GPP under dry conditions. Adding a low-temperature response to shut down GPP for temperatures below 0°C will reduce the positive bias in winter, spring, and fall and improve simulated phenology. The negative bias in summer and poor overall performance resulted from mismatches between simulated and observed light use efficiency (LUE). Improving simulated GPP requires better leaf-to-canopy scaling and better values of model parameters that control the maximum potential GPP, such as ε[subscript max] (LUE), V[subscript cmax] (unstressed Rubisco catalytic capacity) or J[subscript max] (the maximum electron transport rate).
|
Resource Type |
|
DOI |
|
Date Available |
|
Date Issued |
|
Citation |
- Schaefer, K., et al. (2012), A model-data comparison of gross primary productivity: Results from the North American Carbon Program site synthesis, Journal of Geophysical Research, 117, G03010, doi:10.1029/2012JG001960.
|
Journal Title |
|
Journal Volume |
|
Journal Issue/Number |
|
Academic Affiliation |
|
Rights Statement |
|
Funding Statement (additional comments about funding) |
- This
research was partly funded by NOAA Award NA07OAR4310115 and
U.S. National Science Foundation grant ATM-0910766; funding was also
provided by the U.S. Department of Energy’s Office of Science for AmeriFlux Science Team research to develop measurement and data submission
protocols and conduct quality assurance of measurements for AmeriFlux investigators (Grant DE-FG02-04ER63911).
|
Publisher |
|
Peer Reviewed |
|
Language |
|
Replaces |
|
Additional Information |
- description.provenance : Approved for entry into archive by Deanne Bruner(deanne.bruner@oregonstate.edu) on 2012-08-27T21:00:22Z (GMT) No. of bitstreams: 1
LawBeverlyForestryModelDataComparison.pdf: 600461 bytes, checksum: 3f68057b2b09dfebb6b21ae190eb3349 (MD5)
- description.provenance : Made available in DSpace on 2012-08-27T21:00:22Z (GMT). No. of bitstreams: 1
LawBeverlyForestryModelDataComparison.pdf: 600461 bytes, checksum: 3f68057b2b09dfebb6b21ae190eb3349 (MD5)
Previous issue date: 2012-07-19
- description.provenance : Submitted by Deanne Bruner (deanne.bruner@oregonstate.edu) on 2012-08-24T23:35:13Z
No. of bitstreams: 1
LawBeverlyForestryModelDataComparison.pdf: 600461 bytes, checksum: 3f68057b2b09dfebb6b21ae190eb3349 (MD5)
|