TY - JOUR
T1 - Application of the vineyard data assimilation (VIDA) system to vineyard root-zone soil moisture monitoring in the California Central Valley
AU - Chen, Fan
AU - Lei, Fangni
AU - Knipper, Kyle
AU - Gao, Feng
AU - McKee, Lynn
AU - del Mar Alsina, Maria
AU - Alfieri, Joseph
AU - Anderson, Martha
AU - Bambach, Nicolas
AU - Castro, Sebastian J.
AU - McElrone, Andrew J.
AU - Alstad, Karrin
AU - Dokoozlian, Nick
AU - Greifender, Felix
AU - Kustas, William
AU - Notarnicola, Claudia
AU - Agam, Nurit
AU - Prueger, John H.
AU - Hipps, Lawrence E.
AU - Crow, Wade T.
N1 - Funding Information:
We would like to thank E.J. Gallo Winery and the staff of the Winegrowing Research and Gallo Vineyards for access to vineyard sites, support for deployment of towers and sensors, and assistance in the collection of data used in this study. Financial support for this research was provided by USDA Agricultural Research Service and by grants from NASA Applied Sciences-Water Resources Program Award NNH17AE39I, PI W. Kustas, and 80NSSC19K1245 PI W. Crow). USDA is an equal opportunity provider and employer.
Funding Information:
This research is funded by NASA Applied Science Award 80NSSC19K1247 entitled: “High-Resolution Soil Moisture Monitoring for Improved Vineyard Water Resource Management” (PI: W.T. Crow).
Funding Information:
We would like to thank E.J. Gallo Winery and the staff of the Winegrowing Research and Gallo Vineyards for access to vineyard sites, support for deployment of towers and sensors, and assistance in the collection of data used in this study. Financial support for this research was provided by USDA Agricultural Research Service and by grants from NASA Applied Sciences-Water Resources Program Award NNH17AE39I, PI W. Kustas, and 80NSSC19K1245 PI W. Crow). USDA is an equal opportunity provider and employer.
Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2022/9/1
Y1 - 2022/9/1
N2 - Efforts to apply gridded root-zone soil moisture (RZSM) products for irrigation decision-support in vineyards are currently hampered by the difficulty of obtaining RZSM products that meet required accuracy, resolution, and data latency requirements. In particular, the operational application of soil water balance modeling is complicated by the difficulty of obtaining accurate irrigation inputs and representing complex sub-surface water-flow processes within vineyards. Here, we discuss prospects for addressing these shortcomings using the Vineyard Data Assimilation (VIDA) system based on the assimilation of high-resolution (30-m) soil moisture information obtained from synthetic aperture radar and thermal-infrared (TIR) remote sensing into a one-dimensional soil water balance model. The VIDA system is tested retrospectively (2017–2020) for two vineyard sites in the California Central Valley that have been instrumented as part of the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). Results demonstrate that VIDA can generally capture daily temporal variations in RZSM for vertical depths of 30–60 cm beneath the vine row, and the assimilation of remote sensing products is shown to produce modest improvement in the temporal accuracy of VIDA RZSM estimates. However, results also reveal shortcomings in the ability of VIDA to correct biases in assumed irrigation applications—particularly during well-watered portions of the growing season when TIR-based evapotranspiration observations are not moisture limited and, therefore, decoupled from RZSM. Prospects for addressing these limitations and plans for the near-real-time operational application of the VIDA system are discussed.
AB - Efforts to apply gridded root-zone soil moisture (RZSM) products for irrigation decision-support in vineyards are currently hampered by the difficulty of obtaining RZSM products that meet required accuracy, resolution, and data latency requirements. In particular, the operational application of soil water balance modeling is complicated by the difficulty of obtaining accurate irrigation inputs and representing complex sub-surface water-flow processes within vineyards. Here, we discuss prospects for addressing these shortcomings using the Vineyard Data Assimilation (VIDA) system based on the assimilation of high-resolution (30-m) soil moisture information obtained from synthetic aperture radar and thermal-infrared (TIR) remote sensing into a one-dimensional soil water balance model. The VIDA system is tested retrospectively (2017–2020) for two vineyard sites in the California Central Valley that have been instrumented as part of the Grape Remote sensing Atmospheric Profile and Evapotranspiration eXperiment (GRAPEX). Results demonstrate that VIDA can generally capture daily temporal variations in RZSM for vertical depths of 30–60 cm beneath the vine row, and the assimilation of remote sensing products is shown to produce modest improvement in the temporal accuracy of VIDA RZSM estimates. However, results also reveal shortcomings in the ability of VIDA to correct biases in assumed irrigation applications—particularly during well-watered portions of the growing season when TIR-based evapotranspiration observations are not moisture limited and, therefore, decoupled from RZSM. Prospects for addressing these limitations and plans for the near-real-time operational application of the VIDA system are discussed.
UR - http://www.scopus.com/inward/record.url?scp=85128735191&partnerID=8YFLogxK
U2 - 10.1007/s00271-022-00789-9
DO - 10.1007/s00271-022-00789-9
M3 - Article
AN - SCOPUS:85128735191
SN - 0342-7188
VL - 40
SP - 779
EP - 799
JO - Irrigation Science
JF - Irrigation Science
IS - 4-5
ER -