Multi-Temporal Independent Component Analysis and Landsat 8 for Delineating Maximum Extent of the 2013 Colorado Front Range Flood

Autor: Stephen M. Chignell, Ryan S. Anderson, Paul H. Evangelista, Melinda J. Laituri, David M. Merritt

Publikováno v: Remote Sensing, Vol 7, Iss 8, Pp 9822-9843 (2015)

Maximum flood extent—a key data need for disaster response and mitigation—is rarely quantified due to storm-related cloud cover and the low temporal resolution of optical sensors. While change detection approaches can circumvent these issues thro

Externí odkaz: https://doaj.org/article/b6d74ac75ddb464c9b75c03638082d39

Carbon and energy fluxes in cropland ecosystems: a model-data comparison

Autor: S. W. Running, Atul K. Jain, P. Ciais, D.Y. Hollinger, Ian Baker, M. El Maayar, Zhengpeng Li, C. Izaurralde, Daniel M. Ricciuto, Michael Sprintsin, Christina Tonitto, A. K. Sahoo, Margaret S. Torn, Michael Dietze, Yongkang Xue, Alan G. Barr, David Price, Hans Verbeeck, Ryan S. Anderson, David R. Cook, Andrew E. Suyker, Philippe Peylin, A. S. Denning, Christopher J. Kucharik, Roser Matamala, M. A. Arain, Hanqin Tian, Erandathie Lokupitiya, Shashi B. Verma, Shuguang Liu, Robert F. Grant, Guangsheng Chen, Longhui Li, Jing M. Chen, Markus Fischer, Kevin Schaefer

Publikováno v: Biogeochemistry
Biogeochemistry, Springer Verlag, 2016, 129 (1-2), pp.53-76. ⟨10.1007/s10533-016-0219-3⟩
Biogeochemistry, vol 129, iss 1-2
Biogeochemistry, 2016, 129 (1-2), pp.53-76. ⟨10.1007/s10533-016-0219-3⟩
Lokupitiya, E; Denning, AS; Schaefer, K; Ricciuto, D; Anderson, R; Arain, MA; et al.(2016). Carbon and energy fluxes in cropland ecosystems: a model-data comparison. Biogeochemistry, 129(1-2), 53-76. doi: 10.1007/s10533-016-0219-3. UCLA: Retrieved from: http://www.escholarship.org/uc/item/6058n08v

© 2016, Springer International Publishing Switzerland. Croplands are highly productive ecosystems that contribute to land–atmosphere exchange of carbon, energy, and water during their short growing seasons. We evaluated and compared net ecosystem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4387404a628da88d29cff4d0c96f0308
https://doi.org/10.1007/s10533-016-0219-3

Development and optimization of an Agro-BGC ecosystem model for C4 perennial grasses

Autor: Norman L. Miller, Alan Di Vittorio, Ryan S. Anderson, J. D. White, Steven W. Running

Publikováno v: Ecological Modelling. 221:2038-2053

Extrapolating simulations of bioenergy crop agro-ecosystems beyond data-rich sites requires biophysically accurate ecosystem models and careful estimation of model parameters not available in the literature. To increase biophysical accuracy we added

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::344cf4a61f5427084de261320c161d3a
https://doi.org/10.1016/j.ecolmodel.2010.05.013

Evaluating the agreement between measurements and models of net ecosystem exchange at different times and timescales using wavelet coherence: an example using data from the North American Carbon Program Site-Level Interim Synthesis

Autor: Peter M. Lafleur, Shuguang Liu, Hans Verbeeck, Benjamin Poulter, T. A. Black, M. A. Arain, Kevin Schaefer, Yiqi Luo, Robert F. Grant, Beverly E. Law, Changhui Peng, A. K. Sahoo, J. W. Munger, David Price, Christopher R. Schwalm, Jingming Chen, Michael Dietze, Ensheng Weng, Roberto C. Izaurralde, Andrew D. Richardson, Ian Baker, Robert B. Cook, Christopher M. Gough, Daniel M. Ricciuto, William J. Riley, Rodrigo Vargas, Erandathie Lokupitiya, Paul C. Stoy, David Y. Hollinger, Hanqin Tian, Christopher J. Kucharik, Alan G. Barr, Ryan S. Anderson

Publikováno v: Biogeosciences
Biogeosciences, European Geosciences Union, 2013, 10 (11), pp.6893-6909. ⟨10.5194/bg-10-6893-2013⟩
Biogeosciences, 2013, 10 (11), pp.6893-6909. ⟨10.5194/bg-10-6893-2013⟩
BIOGEOSCIENCES
Biogeosciences, Vol 10, Iss 11, Pp 6893-6909 (2013)

Earth system processes exhibit complex patterns across time, as do the models that seek to replicate these processes. Model output may or may not be significantly related to observations at different times and on different frequencies. Conventional m

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5736271fc86fa7d0a6dc76e0c366b6e
https://hal.archives-ouvertes.fr/hal-03210226

Terrestrial biosphere models need better representation of vegetation phenology: results from the North American Carbon Program Site Synthesis

Autor: David Y. Hollinger, Jing M. Chen, Rodrigo Vargas, Danilo Dragoni, Philippe Ciais, Robert F. Grant, Russell K. Monson, Ankur R. Desai, Guangsheng Chen, M. Altaf Arain, Harry McCaughey, Hank A. Margolis, Hanqin Tian, Jingfeng Xiao, Gil Bohrer, Michael Dietze, Benjamin Poulter, Yongkang Xue, Andrew D. Richardson, A. K. Sahoo, Kevin Schaefer, Kenneth J. Davis, J. William Munger, Daniel M. Ricciuto, Christopher M. Gough, Alan G. Barr, Hans Verbeeck, S. R. Garrity, Brett Raczka, Ryan S. Anderson, Mirco Migliavacca

Publikováno v: Global Change Biology
Global Change Biology, 2012, 18 (2), pp.566-584. ⟨10.1111/j.1365-2486.2011.02562.x⟩
Global Change Biology, Wiley, 2012, 18 (2), pp.566-584. ⟨10.1111/j.1365-2486.2011.02562.x⟩

Phenology, by controlling the seasonal activity of vegetation on the land surface, plays a fundamental role in regulating photosynthesis and other ecosystem processes, as well as competitive interactions and feedbacks to the climate system. We conduc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::929949bf9c5fc12e77187145bc694e05
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