1 Climate and Climate Patterns
Learn how weather differs from climate and how normals, anomalies, records, and visual summaries describe long-term climate patterns and variability.
and
describes atmospheric conditions at a specific time and place. Temperature, precipitation, humidity, air pressure, and wind are among the variables used to describe it. Conditions can change over minutes, hours, or days.
describes long-term statistical patterns of in a place or region. It includes what conditions are typical, how much they vary, and how often unusual conditions occur. A cold day alone does not show that a place has a cold , just as a hot day alone does not establish a long-term warming trend.
normals and averages
scientists use many years of observations to describe typical conditions. A is a standard reference calculated for a period of years. Normals can describe daily, monthly, seasonal, or annual conditions, such as the average January low temperature or usual annual precipitation at a station.
A normal provides a baseline for comparing a particular day, season, or year with what is typical for that location and time of year. Averages are useful, but they do not describe every day or year. Two places can have the same average annual temperature while having different seasonal ranges, and an average can hide unusually wet or dry periods.
descriptions may therefore include more than a single mean. They can report minimums, maximums, ranges, variability, and how frequently certain conditions occur.
Anomalies, records, and variability
An shows how far an observation differs from a chosen reference average. For example, if a city's usual high temperature for a particular date is , a high of is above its normal for that date. The alone does not explain why the difference occurred or establish a long-term trend.
A is a measured value—such as the highest temperature, greatest daily rainfall, or longest dry spell—compared with observations in a defined record. Records help show the range of conditions experienced, but they depend on the location, the length and quality of observations, and the variable measured. A record from one station or one year should not be treated as a description of an entire region's usual .
varies naturally from day to day and year to year. A single unusual event can set a record while the long-term average changes little. Conversely, long-term averages may shift without a new record being set every year. Comparing observations with normals and longer records gives a fuller picture.
Ways to represent patterns
Different summaries reveal different aspects of patterns:
Monthly or seasonal averages show how temperature or precipitation typically changes through the year.
Annual averages and totals summarize a year, such as mean temperature or total rainfall.
Anomalies show how much a value differs from a selected baseline.
Ranges and extremes describe variability, including record highs and lows or unusually wet and dry periods.
Graphs and maps make patterns easier to compare. A commonly plots average monthly temperature and precipitation for a location, revealing seasonal changes at a glance.
Interpreting descriptions
A clear description identifies where and when the observations apply, which variables are being described, and, when relevant, the reference period. statistics summarize what has been observed: they describe typical conditions and variation, not the exact on a future day.
Using averages, anomalies, ranges, and records together gives a more complete picture than relying on a single average or event.