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Title: 100 years of data is not enough to establish reliable drought thresholds

Abstract

Drought research customarily uses statistics collected over a reference period to establish a threshold for declaring a region to be in a drought, or to estimate baseline return periods. Often these statistics involve quantile values from the tails of the distribution of reference period observations, such as 10th or even 1st percentile values. The length of the reference period is dictated by the available record length; often it is no longer than 50--100 years. Depending on the purpose for which the drought study is intended, the unit of time used as the averaging period for the hydrologic or meteorologic variables of interest is often as small as one month. In this circumstance, 10th percentile values are each based on at most 100 data points. We show here that the statistical uncertainty resulting from these small sample sizes for estimating the threshold value is sufficient to compromise many types of analysis. We provide formulae for calculating the statistical uncertainties caused by limited record lengths and for estimating the record length needed to achieve a specified level of accuracy in an analysis. We also summarize options for for augmenting the historical record when the existing record length is not long enough tomore » support analysis at the desired level of accuracy.« less

Authors:
ORCiD logo; ; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1602296
Alternate Identifier(s):
OSTI ID: 1687371
Report Number(s):
PNNL-SA-144280
Journal ID: ISSN 2589-9155; S2589915520300031; 100052; PII: S2589915520300031
Grant/Contract Number:  
AC05-76RL01830
Resource Type:
Published Article
Journal Name:
Journal of Hydrology X
Additional Journal Information:
Journal Name: Journal of Hydrology X Journal Volume: 7 Journal Issue: C; Journal ID: ISSN 2589-9155
Publisher:
Elsevier
Country of Publication:
Netherlands
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Statistics; Drought; Thresholds

Citation Formats

Link, Robert, Wild, Thomas B., Snyder, Abigail C., Hejazi, Mohamad I., and Vernon, Chris R. 100 years of data is not enough to establish reliable drought thresholds. Netherlands: N. p., 2020. Web. doi:10.1016/j.hydroa.2020.100052.
Link, Robert, Wild, Thomas B., Snyder, Abigail C., Hejazi, Mohamad I., & Vernon, Chris R. 100 years of data is not enough to establish reliable drought thresholds. Netherlands. https://doi.org/10.1016/j.hydroa.2020.100052
Link, Robert, Wild, Thomas B., Snyder, Abigail C., Hejazi, Mohamad I., and Vernon, Chris R. Wed . "100 years of data is not enough to establish reliable drought thresholds". Netherlands. https://doi.org/10.1016/j.hydroa.2020.100052.
@article{osti_1602296,
title = {100 years of data is not enough to establish reliable drought thresholds},
author = {Link, Robert and Wild, Thomas B. and Snyder, Abigail C. and Hejazi, Mohamad I. and Vernon, Chris R.},
abstractNote = {Drought research customarily uses statistics collected over a reference period to establish a threshold for declaring a region to be in a drought, or to estimate baseline return periods. Often these statistics involve quantile values from the tails of the distribution of reference period observations, such as 10th or even 1st percentile values. The length of the reference period is dictated by the available record length; often it is no longer than 50--100 years. Depending on the purpose for which the drought study is intended, the unit of time used as the averaging period for the hydrologic or meteorologic variables of interest is often as small as one month. In this circumstance, 10th percentile values are each based on at most 100 data points. We show here that the statistical uncertainty resulting from these small sample sizes for estimating the threshold value is sufficient to compromise many types of analysis. We provide formulae for calculating the statistical uncertainties caused by limited record lengths and for estimating the record length needed to achieve a specified level of accuracy in an analysis. We also summarize options for for augmenting the historical record when the existing record length is not long enough to support analysis at the desired level of accuracy.},
doi = {10.1016/j.hydroa.2020.100052},
journal = {Journal of Hydrology X},
number = C,
volume = 7,
place = {Netherlands},
year = {Wed Apr 01 00:00:00 EDT 2020},
month = {Wed Apr 01 00:00:00 EDT 2020}
}

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