The DOI matches its Crossref record; 28 of the 29 references it cites were found in a registry or an index.
Assessment of solar radiation models and temporal averaging schemes in predicting radiation and cotton production in the southern United States
Open accessAbstract
sun distance, latitude, solar elevation angle, and solar declination angle (Meza & Varas 2000).Empirical algorithms have been proposed relating R g or the R g /R a ratio to weather parameters (Meza & Varas 2000), most commonly the daily or monthly mean maximum (T max ) and minimum (T min ) air temperatures and temperature range (T max -T min ) (Liu & Jordan
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The combination of minimum and maximum air temperatures, rainfall, and wind speed performed best for simulation of solar irradiance and fiber yield at all locations.
“Although the radiation models estimated solar irradiance and fiber yield well, the combination of minimum and maximum air temperatures, rainfall, and wind speed performed best for simulation of solar irradiance and fiber yield at all locations.”
From Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions (2014) · cites this paper as Richardson and Reddy (2004)
In GOSSYM simulations using estimated solar irradiance, cotton fiber yield estimation accuracy depended on solar irradiance estimation accuracy, and location and management practice (irrigated versus rainfed) also impacted the simulation results.
“Cotton fiber yield estimation accuracy depended on solar irradiance estimation accuracy, but location and management practice (irrigated versus rainfed) also impacted the simulation results.”
From Development and Application of Process-based Simulation Models for Cotton Production: A Review of Past, Present, and Future Directions (2014) · cites this paper as Richardson and Reddy (2004)
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Thorp, K. R., Ale, S., Bange, M. P., Barnes, E. M., Hoogenboom, G., Lascano, R. J., McCarthy, A. C., Nair, S., Paz, J. O., Rajan, N., et al. (2014) · Journal of Cotton Science · doi:10.56454/oovc6073 · Cited by 96
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Metadata
- Authors
- Richardson, A., & Reddy, K.
- Affiliations
- Mississippi State University (US)
- Venue
- Climate Research
- Publisher
- Inter-Research Science Center
- Published
- 2004
- Volume
- 27
- Pages
- 85-103
- ISSN
- 0936-577X (ISSN-L)
- 1616-1572
- OpenAlex
- W2016663792
- Cited by
- 9
- References
- 29
- Citations by year
- 2022: 2 · 2021: 1 · 2020: 1 · 2019: 1 · 2014: 2 · 2013: 1 · 2012: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Climate Research (publishedVersion)
- Funders
- Mississippi State University
- Topics
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Solar Radiation and Photovoltaics
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Climate change impacts on agriculture
- Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
- Keywords
- solar radiation models, cotton production, radiation modeling, solar altitude, solar declination angle, air temperature, Southern United States
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