Literature DB >> 24378712

Surface renewal: an advanced micrometeorological method for measuring and processing field-scale energy flux density data.

Andrew J McElrone1, Thomas M Shapland, Arturo Calderon, Li Fitzmaurice, Kyaw Tha Paw U, Richard L Snyder.   

Abstract

Advanced micrometeorological methods have become increasingly important in soil, crop, and environmental sciences. For many scientists without formal training in atmospheric science, these techniques are relatively inaccessible. Surface renewal and other flux measurement methods require an understanding of boundary layer meteorology and extensive training in instrumentation and multiple data management programs. To improve accessibility of these techniques, we describe the underlying theory of surface renewal measurements, demonstrate how to set up a field station for surface renewal with eddy covariance calibration, and utilize our open-source turnkey data logger program to perform flux data acquisition and processing. The new turnkey program returns to the user a simple data table with the corrected fluxes and quality control parameters, and eliminates the need for researchers to shuttle between multiple processing programs to obtain the final flux data. An example of data generated from these measurements demonstrates how crop water use is measured with this technique. The output information is useful to growers for making irrigation decisions in a variety of agricultural ecosystems. These stations are currently deployed in numerous field experiments by researchers in our group and the California Department of Water Resources in the following crops: rice, wine and raisin grape vineyards, alfalfa, almond, walnut, peach, lemon, avocado, and corn.

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Year:  2013        PMID: 24378712      PMCID: PMC4048044          DOI: 10.3791/50666

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  1 in total

1.  THE GRAPE REMOTE SENSING ATMOSPHERIC PROFILE AND EVAPOTRANSPIRATION EXPERIMENT.

Authors:  William P Kustas; Martha C Anderson; Joseph G Alfieri; Kyle Knipper; Alfonso Torres-Rua; Christopher K Parry; Hector Nieto; Nurit Agam; William A White; Feng Gao; Lynn McKee; John H Prueger; Lawrence E Hipps; Sebastian Los; Maria Mar Alsina; Luis Sanchez; Brent Sams; Nick Dokoozlian; Mac McKee; Scott Jones; Yun Yang; Tiffany G Wilson; Fangni Lei; Andrew McElrone; Josh L Heitman; Adam M Howard; Kirk Post; Forrest Melton; Christopher Hain
Journal:  Bull Am Meteorol Soc       Date:  2018-09-01       Impact factor: 8.766

  1 in total

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