DataTypeCV Values

    

Used to populate the DataType field of the Variables table

TermDefinition
AverageThe values represent the average over a time interval, such as daily mean discharge or daily mean temperature.
Best Easy Systematic EstimatorBest Easy Systematic Estimator BES = (Q1 +2Q2 +Q3)/4. Q1, Q2, and Q3 are first, second, and third quartiles. See Woodcock, F. and Engel, C., 2005: Operational Consensus Forecasts.Weather and Forecasting, 20, 101-111. (http://www.bom.gov.au/nmoc/bulletins/60/article_by_Woodcock_in_Weather_and_Forecasting.pdf) and Wonnacott, T. H., and R. J. Wonnacott, 1972: Introductory Statistics. Wiley, 510 pp.
CategoricalThe values are categorical rather than continuous valued quantities. Mapping from Value values to categories is through the CategoryDefinitions table.
Constant Over IntervalThe values are quantities that can be interpreted as constant for all time, or over the time interval to a subsequent measurement of the same variable at the same site.
ContinuousA quantity specified at a particular instant in time measured with sufficient frequency (small spacing) to be interpreted as a continuous record of the phenomenon.
CumulativeThe values represent the cumulative value of a variable measured or calculated up to a given instant of time, such as cumulative volume of flow or cumulative precipitation.
IncrementalThe values represent the incremental value of a variable over a time interval, such as the incremental volume of flow or incremental precipitation.
MaximumThe values are the maximum values occurring at some time during a time interval, such as annual maximum discharge or a daily maximum air temperature.
MedianThe values represent the median over a time interval, such as daily median discharge or daily median temperature.
MinimumThe values are the minimum values occurring at some time during a time interval, such as 7-day low flow for a year or the daily minimum temperature.
ModeThe values are the most frequent values occurring at some time during a time interval, such as annual most frequent wind direction.
Regular SamplingScheduled sampling at regular time increments with a frequency that is too coarse for interpreting records as continuous but with a resolution that is representative of the time scale of fluctuation of the phenomenon.
SporadicThe phenomenon is sampled at a particular instant in time but with a frequency that is too coarse for interpreting the record as continuous. This would be the case when the spacing is significantly larger than the support and the time scale of fluctuation of the phenomenon, such as for example infrequent water quality samples.
StandardDeviationThe values represent the standard deviation of a set of observations made over a time interval. Standard deviation computed using the unbiased formula SQRT(SUM((Xi-mean)^2)/(n-1)) are preferred. The specific formula used to compute variance can be noted in the methods description.
UnknownThe data type is unknown
VarianceThe values represent the variance of a set of observations made over a time interval. Variance computed using the unbiased formula SUM((Xi-mean)^2)/(n-1) are preferred. The specific formula used to compute variance can be noted in the methods description.

© 2008 CUAHSI-HIS
This material is based upon work supported by the National Science Foundation (NSF) under Grant Nos. 04-12975, 041-3265, and 06-22374.
Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.