Water Balance Irrigation Scheduling with Minimum Input of Weather Data

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dc.creatorStegman, E.C.
dc.creator.authorStegman, E.C.
dc.date.accessioned2010-03-17T20:11:05Z
dc.date.available2010-03-17T20:11:05Z
dc.date.issued1986
dc.descriptionA 12 year period of measured solar radiation data (each period - May - Sept) was utilized to develop calibration constants (monthly and seasonal) for an empirical relationship that estimates solar radiation from inputs of maximum and minimum air temperatures. Regression testing indicated that a seasonal calibration constant could be utilized in this relationship to achieve coefficient of determination of .76 for solar radiation estimates over weekly time periods with standard error of estimate of about 37 Langleys per day. Comparison tests of measures vs estimated ET rates were made for 3 seasons not utilized in the calibration period. Checkbook=-like tables were developed to illustrate the use of this temperature based method for estimating daily solar radiation amounts and the subsequent estimation of daily ET data.
dc.identifier.urihttps://hdl.handle.net/10365/8089
dc.publisherNorth Dakota State University
dc.relation.ispartofFarm Research; 44:3; Nov/Dec 1986
dc.rightsNorth Dakota State Universityen_US
dc.sourceFarm Research; 44:3; Nov/Dec 1986
dc.subject.lcshIrrigationen_US
dc.subject.lcshComputersen_US
dc.titleWater Balance Irrigation Scheduling with Minimum Input of Weather Dataen_US
dc.typeArticleen_US

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Farm Research; 44:3; Nov/Dec 1986