Jordi Francis Clar

Position title: Research Associate

Email: francisclar@wisc.edu

Phone: (608) 692-0646

Address:
Wisconsin Energy Institute, 2nd Floor, Cube 2-1D
1552 University avenue
Madison, Wisconsin 53726

Headshot of Jordi Francis Clar

Program Affiliations

Biological Systems Engineering

Education and Certificates

  • 2021 Ph.D. – Biological Systems Engineering: University of Wisconsin-Madison
  • 2016 M.S. – Biological Systems Engineering: University of Wisconsin-Madison
  • 2012 BS + MS Agricultural & Rural Engineer: Polytechnical University of Valencia

Fields of Interest

  • Proximal Sensing
  • Techno-economic analysis
  • Internet of Things

Publications

  • Francis Clar, J., & Anex, R. P (2022).Assessing nitrous oxide (N2O) isotopic analyzer performance for in-field use. Agricultural and Forest Meteorology
  • Francis Clar, J., & Anex, R. P. (2020) Flux Intensity and Diurnal Variability of Soil N2O Emissions in a Highly Fertilized Cropping System. Soil Science Society of America Journal. Featured in Journal Cover (November-December 2020)
  • Francis Clar, J., & Anex, R. P. (July 2020). Calibration and Validation of a Novel N2O Isotopic Analyzer for Field Research. Crop and Soil Sensing. ASABE 2020 Annual International Meeting (Virtual & On Demand).
  • Francis Clar, J., & Anex, R. P. (July 2020). An Automated System for Simultaneous Measurements of N2O by Soil Flux and its Isotopic Composition at High Temporal Resolution. Crop and Soil Sensing. ASABE 2020 Annual International Meeting (Virtual & On Demand)

Awards and Honors

Premios San Isidro 2013 – Best MS thesis of the College of Agricultural Engineers of the Spanish Mediterranean (COIAL)

Expertise Summary

Jordi’s work focuses in the design and implementation of new sensing technologies in biological systems. For example, Jordi developed an automated soil emission monitoring system based on a Laser Absorption Spectrometer that allow precise estimation of annual N2O cumulative emissions.
Recently Jordi has been working in the development of geo-bio-physical models for proximal and on-contact advanced sensing technologies.