Reading Earth science data

Objective: Explain measurement unit and time series, distinguish their meanings, and apply them to a described case.

Measurement unit: A unit specifies the quantity scale needed to interpret a measurement. Time series: A time series orders measurements by observation time. A graph needs a defined variable, units, location, and time interval. An anomaly is meaningful only relative to its stated baseline. Compare datasets collected with compatible methods, or account for changes in instruments and sampling. Repeated observations help distinguish patterns from isolated events, but a correlation still needs a plausible mechanism and additional evidence before it supports a causal explanation. Application: Rainfall is reported in millimeters rather than degrees Celsius. This most directly illustrates measurement unit. Daily river levels are plotted for a month. This most directly illustrates time series.

Objective: Explain spatial pattern and anomaly, distinguish their meanings, and apply them to a described case.

Spatial pattern: A spatial pattern describes how a measured property varies across locations. Anomaly: An anomaly is a difference from a specified reference value or baseline. A graph needs a defined variable, units, location, and time interval. An anomaly is meaningful only relative to its stated baseline. Compare datasets collected with compatible methods, or account for changes in instruments and sampling. Repeated observations help distinguish patterns from isolated events, but a correlation still needs a plausible mechanism and additional evidence before it supports a causal explanation. Application: A map compares soil moisture across a region. This most directly illustrates spatial pattern. A temperature is compared with a stated historical average. This most directly illustrates anomaly.

Objective: Explain uncertainty and correlation, distinguish their meanings, and apply them to a described case.

Uncertainty: Uncertainty describes limits to the precision or confidence of an estimate. Correlation: Correlation describes association and does not by itself establish a causal mechanism. A graph needs a defined variable, units, location, and time interval. An anomaly is meaningful only relative to its stated baseline. Compare datasets collected with compatible methods, or account for changes in instruments and sampling. Repeated observations help distinguish patterns from isolated events, but a correlation still needs a plausible mechanism and additional evidence before it supports a causal explanation. Application: An instrument's calibration limits the reported measurement precision. This most directly illustrates uncertainty. Two plotted variables rise together without identifying the cause. This most directly illustrates correlation.