A PROGRAM FOR WEIGHING LYSIMETER DATA QUALITY CONTROL AND ASSURANCE

• Sponsoring Institution: Agricultural Research Service/USDA
• Project Status: ACTIVE
• Funding Source: USDA COOPERATIVE AGREEMENT
• Reporting Frequency: Annual
• Accession No.: 0435165
• Project Start Date: Sep 25, 2018
• Project End Date: Sep 24, 2020
• Program Code: [(N/A)]- (N/A)

Recipient Organization
TAMU AG RES & EXTENSION CENTER
6500 AMARILLO BLVD W
AMARILLO,TX 79106

Performing Department
AGRONOMY

Non Technical Summary
(N/A)

Animal Health Component

50%

Research Effort Categories

Basic

40%

Applied

50%

Developmental

10%

Classification

Knowledge Area (KA)	Subject of Investigation (SOI)	Field of Science (FOS)	Percent
102	0110	2010	20%
111	0210	2020	70%
405	2410	2010	10%

Knowledge Area
102 - Soil, Plant, Water, Nutrient Relationships; 111 - Conservation and Efficient Use of Water; 405 - Drainage and Irrigation Systems and Facilities;

Subject Of Investigation
0110 - Soil; 0210 - Water resources; 2410 - Cross-commodity research--multiple crops;

Field Of Science
2010 - Physics; 2020 - Engineering;

Keywords

evapotranspiration

database

weighing

lysimeter

quality

control

Goals / Objectives
ARS Bushland weighing lysimeter quality control and assurance (QA/QC) procedures will be converted from Excel spreadsheet format to a MATLAB program that will be compiled, resulting in a much faster QA/QC process.

Project Methods
In cooperation with and guided by Bushland ARS scientists, a program will be written in MATLAB to replicate the functionality of Excel spreadsheets currently used by ARS for quality assurance and control procedures. When finished, the MATLAB program will be compiled to an executable file that can be installed and run in a Windows 10 environment, resulting in a much faster QA/QC process. A skilled MATLAB programmer will be engaged by cooperator for this effort. All functionality of the ARS Excel spreadsheets will be replicated, including graphical user interface, comparative raw and adjusted data plotting on daily and yearly longitudinal scales, scatterplotting for examination of correlations and outliers. Significant improvements will be added, including ability to plot temperature, wind speed, relative humidity, solar irradiance and dew point along with lysimeter water storage for identification of environmental effects on apparent storage (lysimeter mass) due to, for example, dew fall and frost, wind gusts, clouds and temperature changes. Both program code and an executable program will be supplied to ARS.