|Drought and deforestation: Has land cover change influenced recent precipitation extremes in the Amazon?|
JE Bagley, AR Desai, KJ Harding, PK Snyder, JA Foley
Journal of Climate 27 (1), 345-361, 2014
|Modelling C3 photosynthesis from the chloroplast to the ecosystem|
CJ Bernacchi, JE Bagley, SP Serbin, UM RUIZ‐VERA, DM Rosenthal, ...
Plant, Cell & Environment 36 (9), 1641-1657, 2013
|Effects of land cover change on moisture availability and potential crop yield in the world’s breadbaskets|
JE Bagley, AR Desai, PA Dirmeyer, JA Foley
Environmental Research Letters 7 (1), 014009, 2012
|The influence of photosynthetic acclimation to rising CO2 and warmer temperatures on leaf and canopy photosynthesis models|
J Bagley, DM Rosenthal, UM Ruiz‐Vera, MH Siebers, P Kumar, DR Ort, ...
Global Biogeochemical Cycles 29 (2), 194-206, 2015
|Estimating methane emissions in California's urban and rural regions using multitower observations|
S Jeong, S Newman, J Zhang, AE Andrews, L Bianco, J Bagley, X Cui, ...
Journal of Geophysical Research: Atmospheres 121 (21), 13,031-13,049, 2016
|Biophysical impacts of climate‐smart agriculture in the M idwest U nited S tates|
JE Bagley, J Miller, CJ Bernacchi
Plant, cell & environment 38 (9), 1913-1930, 2015
|Land‐atmosphere coupling and climate prediction over the US Southern Great Plains|
IN Williams, Y Lu, LM Kueppers, WJ Riley, SC Biraud, JE Bagley, MS Torn
Journal of Geophysical Research: Atmospheres 121 (20), 12,125-12,144, 2016
|The influence of land cover on surface energy partitioning and evaporative fraction regimes in the US Southern Great Plains|
JE Bagley, LM Kueppers, DP Billesbach, IN Williams, SC Biraud, MS Torn
Journal of Geophysical Research: Atmospheres 122 (11), 5793-5807, 2017
|The biophysical link between climate, water, and vegetation in bioenergy agro-ecosystems|
JE Bagley, SC Davis, M Georgescu, MZ Hussain, J Miller, SW Nesbitt, ...
biomass and bioenergy 71, 187-201, 2014
|On the long-term hydroclimatic sustainability of perennial bioenergy crop expansion over the United States|
M Wang, M Wagner, G Miguez-Macho, Y Kamarianakis, A Mahalov, ...
Journal of Climate 30 (7), 2535-2557, 2017
|A simple, minimal parameter model for predicting the influence of changing land cover on the land–atmosphere system|
JE Bagley, AR Desai, PC West, JA Foley
Earth Interactions 15 (29), 1-32, 2011
|Assessment of an atmospheric transport model for annual inverse estimates of California greenhouse gas emissions|
JE Bagley, S Jeong, X Cui, S Newman, J Zhang, C Priest, ...
Journal of Geophysical Research: Atmospheres 122 (3), 1901-1918, 2017
|Impacts of second‐generation biofuel feedstock production in the central US on the hydrologic cycle and global warming mitigation potential|
KJ Harding, TE Twine, A VanLoocke, JE Bagley, J Hill
Geophysical Research Letters 43 (20), 10,773-10,781, 2016
|A realistic meteorological assessment of perennial biofuel crop deployment: a Southern Great Plains perspective|
M Wagner, M Wang, G Miguez‐Macho, J Miller, A VanLoocke, JE Bagley, ...
GCB Bioenergy 9 (6), 1024-1041, 2017
|Representing winter wheat in the Community Land Model (version 4.5)|
Y Lu, IN Williams, JE Bagley, MS Torn, LM Kueppers
Geoscientific Model Development 10 (5), 1873-1888, 2017
|Inverse estimation of an annual cycle of California's nitrous oxide emissions|
S Jeong, S Newman, J Zhang, AE Andrews, L Bianco, E Dlugokencky, ...
Journal of Geophysical Research: Atmospheres 123 (9), 4758-4771, 2018
|A multi-scale hydroclimatological assessment of perennial bioenergy cropping systems|
M Georgescu, G Miguez-Macho, M Wagner, M Wang, J Bagley, ...
EGUGA, 2497, 2017
|Investigating hydrometeorological impacts of perennial bioenergy crops under realistic scenario expansions|
M Wagner, M Wang, G Miguez-Macho, JN Miller, JE Bagley, C Bernacchi, ...
AGUFM 2016, H13B-1356, 2016
|Influence of agricultural and vegetation responses to climate variability on land-atmosphere coupling in the US Great Plains|
JE Bagley, S Biraud, LM Kueppers, Y Lu, IN Williams, MS Torn
AGUFM 2016, GC21B-1096, 2016
|Estimating methane and nitrous oxide emissions in California using multi-tower observations and hierarchical Bayesian inversion|
S Jeong, Y Hsu, S Newman, J Zhang, AE Andrews, L Bianco, J Bagley, ...
AGUFM 2015, A21G-0236, 2015