Dramatic
changes in the frequency distribution of lifetime maximum intensity (LMI) have occurred in the North Atlantic, while smaller changes are evident in the South Pacific and South Indian Oceans, and the stronger hurricanes in all of these regions have become more intense.
Not exact matches
«All these different modes react differently to the
distribution of mass, so we can extract the
changes in mode
frequencies and use it to calculate where the mass is concentrated within the channel,» Olcum says.
They point to direct effects resulting from rising temperatures and
changes in the
frequency and strength of storms, floods, droughts, and heat - waves — as well as to less direct impacts, such as
changes in crop yields, the burden and
distribution of infectious disease, and climate - induced population displacement and violent conflict.
• increases
in malnutrition and consequent disorders, with implications for child growth and development; • increased deaths, disease and injury due to heat waves, floods, storms, fires and droughts; • the increased burden of diarrheal disease; • the increased
frequency of cardio - respiratory diseases due to higher concentrations of ground - level ozone related to climate
change; and, • the altered spatial
distribution of some infectious disease vectors.
There are fast feedback
changes in some things (e.g. sea ice), and longer - continuing
changes in other things (e.g. the Antarctic cap ice; ocean circulation; plankton species
frequency and
distribution; ocean pH; terrestrial rainfall and erosion).
A high occurrence of new record - events is an indication of a
change in the «tails» of the
frequency distribution and thus that values that
in the past were considered extreme are becoming more common.
However, simple statistical reasoning indicates that substantial
changes in the
frequency of extreme events (and
in the maximum feasible extreme, e.g., the maximum possible 24 - hour rainfall at a specific location) can result from a relatively small shift of the
distribution of a weather or climate variable.
Box TS.5, Figure 1 shows a schematic of a such a PDF and illustrates the effect a small shift (corresponding to a small
change in the average or centre of the
distribution) can have on the
frequency of extremes at either end of the
distribution.
Heat, flood and drought - related mortality and morbidity may increase;
changes in the
distribution of plant species and animals are likely to contribute to
changing ranges of infectious diseases and allergic disorders; higher concentrations of ground - level ozone and particulate matter
in urban areas may increase the
frequency of cardio - respiratory and cardio - vascular diseases.
While seemingly incongruous, scientists are predicting both more droughts and flooding for the southeastern United States, noting that the region has already experienced
changes in the
frequency,
distribution, and intensity of precipitation, a trend that is expected to continue.
El Niño's center of action appears to be shifting from the eastern to the central Pacific, which
in turn is affecting the
distribution and
frequency of weather events.7 However, due to the wide natural fluctuations within circulation patterns, it is difficult to attribute recent
changes solely to human activity.
Climate
change is expected to shift
frequency statistics for weather and climate events, as illustrated
in Figure 2.10,
in ways that affect the likelihood of extreme events on the tails of the
distribution, either the high side («extremely hot» for example) or the low side («extremely cold»).
The results of Donat and Alexander (2012) lend some credibility to Tamino's comments regarding a lesser
change in temperature variance, although they find that an increase
in skewness (asymmetry) of the temperature
distribution has probably contributed to the increased
frequency of extreme heat events (Figure 5).
To assess exposure of different terrestrial ecosystems to projected
changes in climate suitability (Fig 4), we calculated the mean and
frequency distribution of
changes in suitable plant growing days (Fig 2A — 2C and 2G) for cells dominated by each of 14 land - cover types.
«This uncertainty must be reflected
in micro-scale analyses of local and regional water management issues, particularly
in «hot spots» that can now be identified by overlaying significant
changes in drought
frequencies over geographically explicit
distributions of water - sensitive sectors and population centres.»
Changes over time were determined
in the
frequency of EC provision, choice of EC agent,
frequency of EC use by age group, repeat use and geographic
distribution of EC prescription for the pre - and post-policy periods.