| CompoundEvents-package {CompoundEvents} | R Documentation |
Statistical Modeling of Compound Events
Description
Tools for extracting occurrences, assessing potential driving factors, predicting occurrences, and quantifying impacts of compound events in hydrology and climatology.
Details
Examples of compound events in hydroclimatology include, but not limited to, compound dry-hot events and compound precipitation and surge (or sea level) events. Take the compound dry and hot event as an example. The function GetDH is used for extracting occurrences based on thresholds of dry and hot indicators. The function DriverLGR is used for assessing potential driving factors of compound events based on logistic regression model. The function PredLGR is used for predicting occurrences of compound events. The function ImpactMG is used for quantifying impacts of compound dry and hot events based on meta-Gaussian model.
Author(s)
Zengchao Hao
References
Hao, Z., et al.(2013). Changes in concurrent monthly precipitation and temperature extremes. Environ. Res. Lett. 8: 034014.
Hao, Z. et al. (2019). A monitoring and prediction system for compound dry and hot events. Environ. Res. Lett., 14:114034.
Hao, Z. et al. (2019). Statistical prediction of the severity of compound dry-hot events based on ENSO . J. Hydrol., 572: 243-250.
Feng, S. et al. (2019). Probabilistic evaluation of the impact of compound dry-hot events on global maize yields. Sci. Total. Environ., 689: 1228-1234.