Representing Low-Intensity Fire Sensible Heat Output in a Mesoscale Atmospheric Model with a Canopy Submodel: A Case Study with ARPS-CANOPY (version 5.2.12) [Data set]
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is the companion dataset to the Geoscientific Model Development manuscript 'Representing Low-Intensity Fire Sensible Heat Output in a Mesoscale Atmospheric Model with a Canopy Submodel: A Case Study with ARPS-CANOPY (version 5.2.12)'.  Mesoscale models are a class of atmospheric numerical model designed to simulate atmospheric phenomena with horizontal scales of about 2-200 km, although they are also applied to microscale phenomena, with horizontal scales less than about 2 km.  Mesoscale models are capable of simulating wildland fire impacts on atmospheric flows tens of meters to hundreds of kilometers away from the fire, if combustion by-products (e.g., heat, smoke) are properly represented in the model.  One of the primary challenges encountered in applying a' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["mesoscale model, prescribed fire, atmospheric turbulence, forest overstory, fire sensible heat source"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This is the companion dataset to the Geoscientific Model Development manuscript 'Representing Low-Intensity Fire Sensible Heat Output in a Mesoscale Atmospheric Model with a Canopy Submodel: A Case Study with ARPS-CANOPY (version 5.2.12)'.  Mesoscale models are a class of atmospheric numerical model designed to simulate atmospheric phenomena with horizontal scales of about 2-200 km, although they are also applied to microscale phenomena, with horizontal scales less than about 2 km.  Mesoscale models are capable of simulating wildland fire impacts on atmospheric flows tens of meters to hundreds of kilometers away from the fire, if combustion by-products (e.g., heat, smoke) are properly represented in the model.  One of the primary challenges encountered in applying a' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This is the companion dataset to the Geoscientific Model Development manuscript 'Representing Low-Intensity Fire Sensible Heat Output in a Mesoscale Atmospheric Model with a Canopy Submodel: A Case Study with ARPS-CANOPY (version 5.2.12)'.  Mesoscale models are a class of atmospheric numerical model designed to simulate atmospheric phenomena with horizontal scales of about 2-200 km, although they are also applied to microscale phenomena, with horizontal scales less than about 2 km.  Mesoscale models are capable of simulating wildland fire impacts on atmospheric flows tens of meters to hundreds of kilometers away from the fire, if combustion by-products (e.g., heat, smoke) are properly represented in the model.  One of the primary challenges encountered in applying a
mesoscale model, prescribed fire, atmospheric turbulence, forest overstory, fire sensible heat source