CIMIS Footprint Analysis

Project PI: Kosana Suvočarev

Co-PIs: Kyaw Tha Paw U, Cayle Little, Ricardo Trezza

Students: Chitra Chopra, Olmo Guerrero Medina, Yanxin Xie and Rashmi Rajput

Funding source: DWR

Duration: September 1, 2022 until December 31st, 2023

Project goals: 1) evaluate CIMIS weather station footprint using eddy covariance; 2) test surface renewal as a backup method for ET measurements; 3) analyze the data collected between two weather stations, one over the CIMIS irrigated grass and a nearby dry soil measurements.
Project description: We are studying the CIMIS station footprint in order to develop recommendations for DWR when new potential sites are identified for additional CIMIS stations. The project results will also help us gain insights into data quality collected at current stations. Additional methods will be tested as an alternative to the current measurements setup. For non-ideal irrigation conditions we installed the same weather station setup over bare ground in the vicinity of existing well-irrigated CIMIS stations to compare the differences in ETo measured by the two stations over the two extreme management conditions
Project goals: 1) evaluate CIMIS weather station footprint using eddy covariance; 2) test surface renewal as a backup method for ET measurements; 3) analyze the data collected between two weather stations, one over the CIMIS irrigated grass and a nearby dry soil measurements.
Measurements:: 1 EC towers ; CSAT3, FW3 (two heights), CNR4, 2 G flux packages, T/RH (two heights), low cost sensors for T, RH and CO2 (two heights), multiple T/RH sensors for measuring the scalar in array and enhance footprint analysis