Joseph C. Coughlan
Joseph C. Coughlan
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Cited by
A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes
SW Running, JC Coughlan
Ecological modelling 42 (2), 125-154, 1988
Forest ecosystem processes at the watershed scale: basis for distributed simulation
LE Band, DL Peterson, SW Running, J Coughlan, R Lammers, J Dungan, ...
Ecological Modelling 56, 171-196, 1991
MTCLIM: A mountain microclimate simulation model
RD Hungerford
US Department of Agriculture, Forest Service, Intermountain Research Station, 1989
Asymmetric warming over coastal California and its impact on the premium wine industry
RR Nemani, MA White, DR Cayan, GV Jones, SW Running, JC Coughlan, ...
Climate research 19 (1), 25-34, 2001
NASA World Wind: Opensource GIS for mission operations
DG Bell, F Kuehnel, C Maxwell, R Kim, K Kasraie, T Gaskins, P Hogan, ...
2007 IEEE Aerospace Conference, 1-9, 2007
Regional ecosystem simulation: A general model for simulating snow accumulation and melt in mountainous terrain
JC Coughlan, SW Running
Landscape Ecology 12, 119-136, 1997
Modeling seasonal and interannual variability in ecosystem carbon cycling for the Brazilian Amazon region
C Potter, S Klooster, CR de Carvalho, VB Genovese, A Torregrosa, ...
Journal of Geophysical Research: Atmospheres 106 (D10), 10423-10446, 2001
Ecohydrological changes in the Murray-Darling Basin. III. A simulation of regional hydrological changes
LL Pierce, J Walker, TI Dowling, TR McVicar, TJ Hatton, SW Running, ...
Journal of applied ecology, 283-294, 1993
Asymmetric climatic warming improves California vintages
RR Nemani, MA White, DR Cayan, GV Jones, SW Running, JC Coughlan
Climate Research 19 (1), 25-34, 2001
Modeling biogenic emissions of isoprene: exploration of model drivers, climate control algorithms, and use of global satellite observations
CS Potter, SE Alexander, JC Coughlan, SA Klooster
Atmospheric Environment 35 (35), 6151-6165, 2001
Testing a distributed snowpack simulation model against spatial observations
FGR Watson, WB Newman, JC Coughlan, RA Garrott
Journal of Hydrology 328 (3-4), 453-466, 2006
MTCLIM: A mountain microclimate simulation model, Research paper INT-414
RD Hungerford, RR Nemani, SW Running, JC Coughlan
US Department of Agriculture, Forest Service, Intermountain Research Station …, 1989
Simulating vegetational and hydrologic responses to natural climatic variation and GCM-predicted climate change in a semi-arid ecosystem in Washington, USA
RG Kremer, RE Hunt Jr, SW Running, JC Coughlan
Journal of Arid Environments 33 (1), 23-38, 1996
Vegetation/ecosystem modeling and analysis project: Comparing biogeography and biogeochemistry models in a continental-scale study of terrestrial ecosystem responses to climate …
V Participants
Global Biogeochemical Cycles 9 (4), 407, 1995
Biospheric monitoring and ecological forecasting
RR Nemani, MA White, LL Pierce, P Votava, JC Coughlan, SW Running
Earth Observation Magazine 12 (2), 6, 2003
Terrestrial observation and prediction system: Integration of satellite and surface weather observations with ecosystem models
R Nemani, P Votava, J Roads, M White, S Running, J Coughlan
IEEE International Geoscience and Remote Sensing Symposium 4, 2394-2396, 2002
An expert system to aggregate biophysical attributes of a forested landscape within a geographic information system.
JC Coughlan, SW Running
Investigations of BOREAS spatial data in support of regional ecosystem modeling
CS Potter, JC Coughlan, V Brooks
Journal of Geophysical Research: Atmospheres 104 (D22), 27771-27788, 1999
Terrestrial Observation and Prediction System (TOPS): Developing ecological nowcasts and forecasts by integrating surface, satellite and climate data with simulation models
R Nemani, P Votava, A Michaelis, M White, F Melton, J Coughlan, ...
Research and Economic Applications of Remote Sensing Data Products, 2007
Combining remote sensing and forest ecosystem modeling: an example using the Regional HydroEcological Simulation System (RHESSys)
JC Coughlan, JL Dungan
The use of remote sensing in the modeling of forest productivity, 135-158, 1997
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