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Environment Canada reports a chance of precipitation (COP) that is defined as "The chance that measurable precipitation (0.2 mm of rain or 0.2 cm of snow) will fall on any random point of the forecast region during the forecast period." [7] The values are rounded to 10% increments, but are never rounded to 50%. [8]
PERSIANN, "Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks", [1] [2] is a satellite-based precipitation retrieval algorithm that provides near real-time rainfall information. The algorithm uses infrared (IR) satellite data from global geosynchronous satellites as the primary source of precipitation ...
The quantitative precipitation forecast (abbreviated QPF) is the expected amount of melted precipitation accumulated over a specified time period over a specified area. [1] A QPF will be created when precipitation amounts reaching a minimum threshold are expected during the forecast's valid period.
Data is provided at multiple "levels" of processing, from raw satellite measurements to best-estimate global precipitation maps using combinations of all the constellation observations and other meteorological data. All data from the mission is made freely available to the public on NASA websites. [7]
The tropical zones have the highest number of storm events followed by the temperate climate. In a recent study, [13] researchers from 63 countries combined 30-minutes rainfall data in order to estimate the global rainfall erosivity (an index combining the amount, frequency and intensity of rainfall). The arid and cold climate zones have very ...
Rainfall character is decided by the total amount of rain that has fallen in a set period (usually 1 hour) by counting the number of pulses during that period. Algorithms may be applied to the data as a method of correcting the data for high-intensity rainfall. Tipping bucket rain gauge recorder Closeup of a tipping bucket rain gauge recorder chart
A caveat to this is 66% of the stations report only the daily precipitation. [1] The original idea for the application of the GHCN-M data was to provide climatic analysis for data sets that require daily monitoring. Its purpose is to create a global base-line data set that can be compiled from stations worldwide. [2]
A climograph is a graphical representation of a location's basic climate. Climographs display data for two variables: monthly average temperature; monthly average precipitation. [1] These are useful tools to quickly describe a location's climate.