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ARS Home Midwest Area Ames, Iowa National Laboratory for Agriculture and The Environment Agroecosystems Management Research Research Publications at this Location





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Title:   Author  item
                                            Malone, Robert

                                                         - *Rob*item
                                            Meek, Daviditem
                                            Ma, Liwangitem
                                            Jaynes, Danitem
                                            NOLAN, B - Us Geological Survey (USGS)item
                                            Karlen, Douglas
  Submitted to: Book Chapter
                                    Publication Type: Book / Chapter
                                    Publication Acceptance Date: 4/14/2011
                                    Publication  Date: 9/1/2011
                                    Citation: Malone, R.W., Meek, D.W., Ma, L., Jaynes, D.B., Nolan, B.T., Karlen, D.L. 2011. Quality assurance of weather data for agricultural system model input. In: Ahuja, L.R., Ma, L., editors. Methods of Introducing System Models into Agricultural Research. Madison, WI: American Society of Agronomy, Crop Science of America and Soil Science Society of America. p. 283-296.Interpretive Summary:
                                Technical Abstract: It is well known that crop production and hydrologic variation on watersheds is weather related. Rarely, however, is meteorological data quality checks reported for agricultural systems model research. We present quality assurance procedures for agricultural system model weather data input. Problems associated with weather sensors include: electronic failure; rodent damage; activity of insects, spiders, and birds; poor location, calibration, and setup; and oxidation. Weather data bias of 10% in humidity, rainfall, and solar radiation results in long-term errors of over 40% for nitrate loss in tile drains from central Iowa Root Zone Water Quality Model (RZWQM) simulations. Actual weather records show measurement errors in rain, solar radiation, and humidity of 20%, 17%, and 10%. Quality assurance procedures are capable of detecting these erroneous measurements.


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