Sentence examples for intense variability from inspiring English sources

Areas with irregular but intense variability, like New York or Chicago, where the temperature can vary by 20 degrees or more in a few days, fare worse than places like Phoenix or Miami, where the weather is warmer but more constant.

Giant black holes never seemed to show this kind of intense variability in their emissions, but no one had watched the same hole for very long.

The most intense variability of the geospace originates from the Sun, but through studies in CAWSES-II, it is now understood that similarly important influences come from the lower atmosphere through wave dynamics.

In this borehole, falling head slug tests above the cave revealed a permeability varying over three orders of magnitude from 2 ×10−8 to 5 ×10−6 m/s, due to intense variability of the more or less porous limestone (Fig. 2).

Where considerations differ by study context, it is noted, thus highlighting the intense variability and consideration that must be taken into account, including the intent and scope of the study, the research context, and the expectations that the local IRB and research participants themselves might have.

The west coast of Southern Baja California is subject to intense seasonal variability, presenting lowest temperatures from February to April partly due to the upwelling season but also to cold water advection associated to the California Current.

Moreover, intense intra-annual variability of the snow fraction occurs from October to March, during which time there is abundant snow cover.

Phytodetrital accumulation at the shelf floor also exhibited intense inter-annual variability, with no visible phytodetritus from essentially December 1999 to November 2000, followed by pulsed accumulation of 1 2 cm of phytodetritus over a ∼30,000 km2 shelf area by March 2001.

Nepal has been identified as one of four global hotspots for climate change risk which is a result of complex and extreme topography, quick responding catchments with intense seasonal and climatic variability (MoSTE 2014).

Based on the conceptual model, we propose an assembled extreme value statistical model (AEVSM) for obtaining the extreme distribution of spring discharge depletion under effects of extreme climate variability and intense groundwater development.

Type 1 brittle asthma is a disease with wide peak flow variability, despite intense medication.