Assessing relevant climate data for agricultural applications
<|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:'Data: Data tables with results of assessment of skill of CMIP3 global climate models as well as interpolation skill of WorldClim Study: Here we performed a review of relevant aspects in relation to coupling agriculture climate predictions, and a three-step analysis of the importance of climate' . 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" : ["Africa","Africa south of sahara","Asia","Climate model","CMIP3","CMIP5","Decision and Policy Analysis - DAPA","South Asia","Uncertainty"]} <|eot_id|>
 Here is the Description of a dataset. Description:'Data: Data tables with results of assessment of skill of CMIP3 global climate models as well as interpolation skill of WorldClim Study: Here we performed a review of relevant aspects in relation to coupling agriculture climate predictions, and a three-step analysis of the importance of climate' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
Data: Data tables with results of assessment of skill of CMIP3 global climate models as well as interpolation skill of WorldClim Study: Here we performed a review of relevant aspects in relation to coupling agriculture climate predictions, and a three-step analysis of the importance of climate
Africa; Africa south of sahara; Asia; Climate model; CMIP3; CMIP5; Decision and Policy Analysis - DAPA; South Asia; Uncertainty