TY - GEN
T1 - Advances in a two-source energy balance model
T2 - Joint ASABE/IA Irrigation Symposium 2015: Emerging Technologies for Sustainable Irrigation
AU - Colaizzi, Paul D.
AU - Agam, Nurit
AU - Tolk, Judy A.
AU - Evett, Steven R.
AU - Howell, Terry A.
AU - O'Shaughness, Susan A.
AU - Gowda, Prasanna H.
AU - Kustas, William P.
AU - Anderson, Martha C.
N1 - Funding Information:
This research was supported by the USDA-ARS National Program 211, Water Availability and Watershed Management and in part by the Ogallala Aquifer Program, a consortium between USDA-Agricultural Research Service, Kansas State University, Texas AgriLife Research, Texas AgriLife Extension Service, Texas Tech University, and West Texas A&M University. We thank the numerous biological technicians and student workers for their meticulous and dedicated efforts in executing experiments and obtaining and processing data.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Accurate partitioning of the evaporation (E) and transpiration (T) components of evapotranspiration (ET) in remote sensing models is important for evaluating strategies aimed at increasing crop water productivity. A two-source energy balance (TSEB) model designed for row crops solves the energy balance of the soil-plant canopy-atmosphere continuum using surface brightness temperature. By solving the energy balance of the soil and canopy separately, the TSEB model can calculate E and T, which cannot be done with single-source models. However, few studies have tested the TSEB model where E or T measurements were available, which until recently has impeded its advance. This paper reviews recent physically-based advances of the TSEB model. The advances were tested using measurements of E, T, and ET by microlysimeters, sap flow gauges, and weighing lysimeters, respectively, at Bushland, Texas, USA for irrigated cotton having a wide range of canopy cover. Root mean square error (RMSE) and mean bias error (MBE) were 0.54 mm d-1 and - 0.19 mm d-1, respectively, between measured and calculated E. RMSE and MBE were 0.87 mm d-1 and 0.31 mm d-1, respectively, between measured and calculated T. This was deemed an improvement over previous TSEB model versions, which overestimated E and underestimate T, resulting in RMSE and MBE up to 3.8 mm d-1 and -3.5 mm d-1, respectively. Ongoing research includes testing the TSEB model using different remote sensing platforms, from ground-based to satellite scales.
AB - Accurate partitioning of the evaporation (E) and transpiration (T) components of evapotranspiration (ET) in remote sensing models is important for evaluating strategies aimed at increasing crop water productivity. A two-source energy balance (TSEB) model designed for row crops solves the energy balance of the soil-plant canopy-atmosphere continuum using surface brightness temperature. By solving the energy balance of the soil and canopy separately, the TSEB model can calculate E and T, which cannot be done with single-source models. However, few studies have tested the TSEB model where E or T measurements were available, which until recently has impeded its advance. This paper reviews recent physically-based advances of the TSEB model. The advances were tested using measurements of E, T, and ET by microlysimeters, sap flow gauges, and weighing lysimeters, respectively, at Bushland, Texas, USA for irrigated cotton having a wide range of canopy cover. Root mean square error (RMSE) and mean bias error (MBE) were 0.54 mm d-1 and - 0.19 mm d-1, respectively, between measured and calculated E. RMSE and MBE were 0.87 mm d-1 and 0.31 mm d-1, respectively, between measured and calculated T. This was deemed an improvement over previous TSEB model versions, which overestimated E and underestimate T, resulting in RMSE and MBE up to 3.8 mm d-1 and -3.5 mm d-1, respectively. Ongoing research includes testing the TSEB model using different remote sensing platforms, from ground-based to satellite scales.
KW - Cotton
KW - Evapotranspiration
KW - Irrigation
KW - Remote sensing
KW - Texas
UR - http://www.scopus.com/inward/record.url?scp=84969835799&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84969835799
T3 - Joint ASABE/IA Irrigation Symposium 2015: Emerging Technologies for Sustainable Irrigation
SP - 309
EP - 337
BT - Joint ASABE/IA Irrigation Symposium 2015
PB - American Society of Agricultural and Biological Engineers
Y2 - 10 November 2015 through 12 November 2015
ER -