Your search found 11 records
1 Snyder, R. L.. 1992. Equation for evaporation pan to evapotranspiration conversions. Journal of Irrigation and Drainage Engineering, 118(6):977-980.
Evapotranspiration ; Evaporation
(Location: IWMI-HQ Call no: PER Record No: H011710)

2 Gallardo, M.; Jackson, L. E.; Schulbach, K.; Snyder, R. L.; Thompson, R. B.; Wyland, L. J. 1996. Production and water use in lettuces under variable water supply. Irrigation Science, 16(3):125-137.
Vegetables ; Plant growth ; Yields ; Sprinkler irrigation ; Evapotranspiration ; Water use efficiency ; Soil-water-plant relationships ; Evapotranspiration / USA / California
(Location: IWMI-HQ Call no: PER Record No: H018274)

3 Snyder, R. L.; Plas, M. A.; Grieshop, J. I. 1996. Irrigation methods used in California: Grower survey. Journal of Irrigation and Drainage Engineering, 122(4):259-262.
Irrigation practices ; Surface irrigation ; Sprinkler irrigation ; Drip irrigation ; Surveys ; Statistics / USA / California
(Location: IWMI-HQ Call no: PER Record No: H018813)
A statewide survey was conducted during 1992 to determine which methods growers used to irrigate their crops in 1991. A questionnaire was distributed to 10,000 of the estimated 80,000 growers in California. Respondents represent nearly 6% of the total 1991 irrigated crop land in California. A comparison with studies done during 1972 and 1980 showed that the amount of land irrigated by surface methods has declined, while the amount of land irrigated by sprinkler and drip methods has increased. The area planted to field crops has declined, while that planted to permanent crops such as fruit and nut trees and grapevines has increased. A rapid increase in the use of drip irrigation in vineyards is the most significant change.

4 Gallardo, M.; Snyder, R. L.; Schulbach, K.; Jackson, L. E. 1996. Crop growth and water use model for lettuce. Journal of Irrigation and Drainage Engineering, 122(6):354-359.
Plant growth ; Vegetables ; Crop production ; Evapotranspiration ; Water use ; Irrigation requirements ; Mathematical models / USA / California / Salinas Valley
(Location: IWMI-HQ Call no: PER Record No: H019624)

5 Steduto, P.; Caliandro, A.; Rubino, P.; Mechlia, N. B.; Masmoudi, M.; Martinez-Cob, A.; Faci, M. J.; Rana, G.; Mastrorilli, M.; El Mourid, M.; Karrou, M.; Kanber, R.; Kirda, C.; El-Quosy, D.; El-Askari, K.; Ali, M. A.; Zareb, D.; Snyder, R. L.. 1996. Penman-Monteith reference evapotranspiration estimates in the Mediterranean Region. In Camp, C. R.; Sadler, E. J.; Yoder, R. E. (Eds.), Evapotranspiration and irrigation scheduling: Proceedings of the International Conference, November 3-6, 1996, San Antonio Convention Center, San Antonio, Texas. St. Joseph, MI, USA: ASAE. pp.357-364.
Evapotranspiration ; Estimation ; Lysimetry ; Models / Italy / Tunisia / Spain / Turkey / Morocco / Egypt / Algeria
(Location: IWMI-HQ Call no: 631.7.1 G000 CAM Record No: H020602)

6 Grattan, S. R.; Bowers, W.; Dong, A.; Snyder, R. L.; Carroll, J. J.; George, W. 1998. Crop coefficients: The keys to improving crop yield. Irrigation Journal, 48(5):13-17.
Crop production ; Vegetables ; Evapotranspiration ; Irrigation requirements ; Measuring instruments ; Lysimetry / USA / California
(Location: IWMI-HQ Call no: PER Record No: H022833)

7 Ventura, F.; Spano, D.; Duce, P.; Snyder, R. L.. 1999. An evaluation of common evapotranspiration equations. Irrigation Science, 18(4):163-170.
Evapotranspiration ; Evaluation ; Lysimetry ; Mathematical models / USA / California
(Location: IWMI-HQ Call no: PER Record No: H026257)

8 Ventura, F.; Faber, B. A.; Bali, K. M.; Snyder, R. L.; Spano, D.; Duce, P.; Schulbach, K. F. 2001. Model for estimating evaporation and transpiration from row crops. Journal of Irrigation and Drainage Engineering, 127(6):339-345.
Models ; Evapotranspiration ; Estimation ; Irrigation scheduling ; Crop production ; Horticulture ; Vegetables ; Pollution control ; Sprinkler irrigation ; Drip irrigation ; Furrow irrigation ; Plant growth
(Location: IWMI-HQ Call no: PER Record No: H029312)

9 Snyder, R. L.; Orang, M.; Matyac, S.; Grismer, M. E. 2005. Simplified estimation of reference evapotranspiration from Pan Evaporation Data in California. Journal of Irrigation and Drainage Engineering, 131(3):249-253.
Evaporation ; Evapotranspiration ; Water use ; Hydrology ; Models ; Irrigation scheduling / USA / California
(Location: IWMI-HQ Call no: PER Record No: H037974)

10 Snyder, R. L.; O’Connell, N. V. 2007. Crop coefficients for microsprinkler-irrigated, clean-cultivated, mature citrus in an arid climate. Journal of Irrigation and Drainage Engineering, 133(1):43-52.
Evapotranspiration ; Measurement ; Crops ; Models ; Water loss ; Arid lands ; Sprinkler irrigation / USA / Spain / California / Arizona / Florida
(Location: IWMI HQ Call no: PER Record No: H040016)

11 Masia, S.; Trabucco, A.; Spano, D.; Snyder, R. L.; Susnik, J.; Marras, S. 2021. A modelling platform for climate change impact on local and regional crop water requirements. Agricultural Water Management, 255:107005. (Online first) [doi: https://doi.org/10.1016/j.agwat.2021.107005]
Climate change ; Crop water use ; Water requirements ; Modelling ; Evapotranspiration ; Water scarcity ; Soil water content ; Irrigation requirements ; Precipitation ; Energy balance ; Agricultural sector ; Crop yield / Mediterranean Countries
(Location: IWMI HQ Call no: e-copy only Record No: H050428)
https://vlibrary.iwmi.org/pdf/H050428.pdf
(8.55 MB)
The impact of climate change on agriculture is projected to be more severe over the coming years due to changing intensity, magnitude and distribution of precipitation, soil water content, atmospheric water vapor, higher temperatures, and thus larger evapotranspiration. This will have significant consequences for irrigation requirements, especially in semi-arid area of Southern Europe, which is recognised as a climate change hotspot. Since the total water use to satisfy agricultural demand is currently about 25% of total water withdrawal in Europe and up to 80% in some Mediterranean countries, improvements in water management are needed to cope with worsening climate conditions. Although several crop models (e.g. EPIC, WOFOST, CERES-Maize) and hydrological models (e.g., DREAM, SWAT, HYDRUS) have been developed, the call for developing models able to couple crop growth, soil water balance, and irrigation practices to assess agricultural water management both at local and regional scale is increasing. In this work, the Simulation of Evapotranspiration of Applied Water (SIMETAW#) model is implemented in R programming language with two new versions able to estimate crop water consumption, irrigation demand and scheduling at local (SIMETAW_R) and regional scale (SIMETAW_GIS platform) using extensive climate and environmental geospatial datasets. SIMETAW_R was validated in ten experimental sites, and SIMETAW_GIS performance in Mediterranean countries was assessed by estimating the impact of climate change on maize, wheat, and wine grape water requirements in the past (1976–2005) and future climate conditions (2036–2065), under RCP4.5 and RCP8.5 scenarios. Results show that in Mediterranean countries, maize, wheat, and grape production will require on average about 13%, 16%, and 10% more water, respectively, under future climate. This represents a considerable challenge for water resources management, especially with demand increasing in other sectors. The tool showed great potential in estimating climate change impact on crop water consumption and irrigation requirements, both at local and regional scale, and offers new analytical skills for water resources management planners for improved decision-making.

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