Standardized Streamflow Index time series for 369 rivers across Europe
<|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:'There are many ways to characterize the streamflow drought hazard.  Recently, the use of anomaly indices, such as the Standardized Streamflow index (SSI), a probability index-based approach adopted from the climatological community, increased in popularity. The SSI can be calculated based on various probability distributions that can be fitted using different methods. Up to now, there is no consensus on which method to use.This data set contains SSI time series of 369 rivers located across Europe derived with seven different probability distributions and two fitting methods. These data were used to investigate the sensitivity of the SSI, and drought characteristics derived from SSI time series, to the used distribution and fitting method. The dataset also contains ensembles of SSI time series derived from resampled data. These r' . 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" : ["Drought","Drought identification","Drought monitoring and early warning","Sensitivity analyses","Standardized Streamflow Index","Streamflow drought"]} <|eot_id|>
 Here is the Description of a dataset. Description:'There are many ways to characterize the streamflow drought hazard.  Recently, the use of anomaly indices, such as the Standardized Streamflow index (SSI), a probability index-based approach adopted from the climatological community, increased in popularity. The SSI can be calculated based on various probability distributions that can be fitted using different methods. Up to now, there is no consensus on which method to use.This data set contains SSI time series of 369 rivers located across Europe derived with seven different probability distributions and two fitting methods. These data were used to investigate the sensitivity of the SSI, and drought characteristics derived from SSI time series, to the used distribution and fitting method. The dataset also contains ensembles of SSI time series derived from resampled data. These r' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
There are many ways to characterize the streamflow drought hazard.  Recently, the use of anomaly indices, such as the Standardized Streamflow index (SSI), a probability index-based approach adopted from the climatological community, increased in popularity. The SSI can be calculated based on various probability distributions that can be fitted using different methods. Up to now, there is no consensus on which method to use.This data set contains SSI time series of 369 rivers located across Europe derived with seven different probability distributions and two fitting methods. These data were used to investigate the sensitivity of the SSI, and drought characteristics derived from SSI time series, to the used distribution and fitting method. The dataset also contains ensembles of SSI time series derived from resampled data. These r
Drought; Drought identification; Drought monitoring and early warning; Sensitivity analyses; Standardized Streamflow Index; Streamflow drought