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NCAR-NEON system
Input data, evaluation data, and results from integrating National Ecological Observatory Network (NEON) measurements into single point simulations using the Community... -
Ecosystem simulations at Fernow Experimental Forest using the soil biogeochem...
Results from single point simulations using the soil biogeochemical testbed, which consists of the CASA-CNP vegetation model and the MIMICS-CN and CASA-CN soil models. Single... -
Proceedings of the 6th International Workshop on Climate Informatics: CI 2016
Climate informatics is an emerging research area that combines the fields of climate science and data science (specifically machine learning, data mining and statistics) to... -
The Community Land Model's Dynamic Global Vegetation Model (CLM-DGVM): Techni...
This article does not have an abstract or article summary. -
A User's Guide to the VEMAP Phase 1 Database
The Vegetation/Ecosystem Modeling and Analysis Project (VEMAP) is an ongoing multi-institutional, international effort addressing the response of biogeography and... -
Simulations with ArcVeg: DCA Weighted Data [Calef]
This dataset contains N,X,S of the DCA data using the Weighted by rare species option. All data comes from the simulations with ArcVeg. For more information, see the readme file. -
Simulations with ArcVeg: Broad Growth Form Data [Calef]
This dataset contains CCA results with eigen- and p-values using Broad Growth Form. All data comes from the simulations with ArcVeg. For more information, see the readme file. -
Simulations with ArcVeg: Broad Growth Form Stats [Calef]
This dataset contains N,X,S of the CCA data using the Broad Growth Form. All data comes from the simulations with ArcVeg. For more information, see the readme file. -
TEM Model Panarctic Simulations [McGuire, A. D.]
This dataset contains the model output data of Terrestrial Ecosystem Model (TEM) simulations from 1920 to 2100 for both moist tundra and polar desert/alpine tundra for the... -
Simulations with ArcVeg: Narrow Growth Form Stats [Calef]
This dataset contains N,X,S of the CCA data using the Narrow Growth Form. All data comes from the simulations with ArcVeg. For more information, see the readme file. -
Simulations with ArcVeg: DCA Default Data [Calef]
This dataset contains N,X,S of the DCA data using the Default option. All data comes from the simulations with ArcVeg. For more information, see the readme file. -
GEM and TEM Model Simulations for Toolik Lake [McGuire, A. D.]
This dataset contains the model output data of GEM and TEM simulations from 1920 to 2100 for Toolik Lake, Alaska. This dataset is available offline as a CD. -
Incorporation of a Permafrost Model into a Large Scale Ecosystem Model [Zhuan...
This dataset contains the model output data from the soil thermal model coupled to the Terrestrial Ecosystem Model (STM-TEM) simulations across the range of black spruce... -
Simulations with ArcVeg: DCA Relativized Data [Calef]
This dataset contains N,X,S of the DCA data using the Relativized option. All data comes from the simulations with ArcVeg. For more information, see the readme file. -
Modeling the Effect of Snowpack on Respiration - Century Model [McGuire, A. D.]
This data set contains the model output data of Century simulations for the terrestrial biosphere of the globe. Please see the Readme for a description of the model. -
Modeling the Effect of Snowpack on Respiration - TEM Model [McGuire, A. D.]
This data set contains the model output data of Terrestrial Ecosystem Model (TEM) simulations for the terrestrial biosphere of the globe. Please see the Readme for a description... -
Simulations with ArcVeg: Narrow Growth Form Data [Calef]
This dataset contains CCA results with eigen- and p-values using Narrow Growth Form. All data comes from the simulations with ArcVeg. For more information, see the readme file. -
Modeling the Effect of Snowpack on Respiration - CASA Model [McGuire, A. D.]
This data set contains the model output data of Carnegie Ames Stanford Approach (CASA) simulations for the terrestrial biosphere of the globe. Please see the Readme for a...
