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= 4.1 R −0.21 mm −1 (equivalent to 41 R −0.21 cm −1 in the reference [4]), R being the rainrate in stratiform precipitation in millimeters per hour; D = raindrop diameter in mm The units of N 0 are sometimes simplified to cm −4 but this removes the information that this value is calculated per cubic meter of air.
The rainfall data can be either a user-defined time series or come from an external file. Several different popular rainfall file formats currently in use are supported, as well as a standard user-defined format. The principal input properties of rain gages include: rainfall data type (e.g., intensity, volume, or cumulative volume)
The letters in the top row stand for months: January, February, etc. The bars and numbers convey the following information: The blue bars represent the average amount of precipitation (rain, snow etc.) that falls in each month. The blue numbers are the amount of precipitation in either millimeters (liters per square meter) or inches.
Rainfall forecasts can be verified a number of ways. Rain gauge observations can be gridded into areal averages, which are then compared to the grids for the forecast models. Weather radar estimates can be used outright, or corrected for rain gauge observations. [4] Several statistical scores can be based on the observed and forecast fields.
Otherwise, the factor A can be determined from a data record of rainfall and runoff using the method explained below under non-linear reservoir. With this method the reservoir can be used as a black box model. Conversions 1 mm/day corresponds to 10 m 3 /day per ha of the watershed 1 L/s per ha corresponds to 8.64 mm/day or 86.4 m 3 /day per ha
The scale of dBZ values can be seen along the bottom of the image. dBZ is a logarithmic dimensionless technical unit used in radar. It is mostly used in weather radar, to compare the equivalent reflectivity factor (Z) of a remote object (in mm 6 per m 3) to the return of a droplet of rain with a diameter of 1 mm (1 mm 6 per m 3). [1]
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Precipitation totals in mm While temperature is typically visualized using a line, some climographs opt to visualize the data using a bar. This method's advantage allows the climograph to display the average range in temperature (average minimum and average maximum temperatures) rather than a simple monthly average.