A probabilistic gridded product for daily precipitation extremes over the United States
<|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:'The data are packaged together into network common data form (netCDF) files. Three separate files are available, with data provided separately for each season: (1) best estimates of the generalized extreme value (GEV) distribution coefficients as well as bootstrap standard errors, (2) 10-, 20-, 50-, and 100-year return values (with bootstrap standard errors) for 1955, 1965, 1975, 1985, 1995, 2005, and 2015, and (3) smoothed bootstrap estimates (250 total) for each GEV coefficient (these are used to calculate the bootstrap standard errors in the first two files). We also provide code that can be used to calculate return values, return periods, or any function thereof for any year in 1950-2017, as well as the corresponding bootstrap sampling distribution (which can be used to quantify uncertainty via standard errors or con' . 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" : ["Gridded extreme precipitation climatology"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The data are packaged together into network common data form (netCDF) files. Three separate files are available, with data provided separately for each season: (1) best estimates of the generalized extreme value (GEV) distribution coefficients as well as bootstrap standard errors, (2) 10-, 20-, 50-, and 100-year return values (with bootstrap standard errors) for 1955, 1965, 1975, 1985, 1995, 2005, and 2015, and (3) smoothed bootstrap estimates (250 total) for each GEV coefficient (these are used to calculate the bootstrap standard errors in the first two files). We also provide code that can be used to calculate return values, return periods, or any function thereof for any year in 1950-2017, as well as the corresponding bootstrap sampling distribution (which can be used to quantify uncertainty via standard errors or con' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The data are packaged together into network common data form (netCDF) files. Three separate files are available, with data provided separately for each season: (1) best estimates of the generalized extreme value (GEV) distribution coefficients as well as bootstrap standard errors, (2) 10-, 20-, 50-, and 100-year return values (with bootstrap standard errors) for 1955, 1965, 1975, 1985, 1995, 2005, and 2015, and (3) smoothed bootstrap estimates (250 total) for each GEV coefficient (these are used to calculate the bootstrap standard errors in the first two files). We also provide code that can be used to calculate return values, return periods, or any function thereof for any year in 1950-2017, as well as the corresponding bootstrap sampling distribution (which can be used to quantify uncertainty via standard errors or con
Gridded extreme precipitation climatology