Abstract" This report describes the findings of a comprehensive literature review concerning
the development and application of static stability indices and related thermodynamic …

Extreme environmental events, such as floods, droughts, rainstorms, and high winds, have
severe consequences for human society. Regional frequency analysis helps to solve the …

Abadi, M., and Coauthors, 2016: Tensorflow: A system for large-scale machine learning.
Proc. 12th USENIX Symp. on Operating Systems Design and Implementation (OSDI'16) …

Recent research has pointed to a number of inherent disadvantages of unrotated principal
components and empirical orthogonal functions when these techniques are used to depict …

Time series of outgoing longwave radiation (OLR) fields and various gridded reanalysis
products are used to identify and describe periods with abundant and deficient rainfall over …

Using daily (monthly) rainfall data from 167 (254) stations across West Africa with at least
80% data availability for the 31-year period 1980–2010 and the gridded African Rainfall …

The main spatiotemporal modes of seasonal precipitation and temperature variability in the
Andes of Ecuador (1° N–4° S) and their relation to tropical Pacific and Atlantic sea surface …

The main spatiotemporal modes of interannual temperature and austral summer (DJF)
precipitation variability in the Central Andes are identified based on a two‐way principal …

This paper presents a method for regional frequency analysis and spatio-temporal pattern
characterization of rainfall-extreme regimes (ie extremes, durations and timings) in the Pearl …

We determine precipitation regions for the United States-Mexico border region based on
seasonality and variability of monthly precipitation at 309 stations for the period 1961 to …