The impact of gridded weather database on soil water availability in rice crop modeling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s00704-021-03906-4.pdf
Reference55 articles.
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2. Andrea MSC, Dallacort R, Barbieri JD, Tieppo RC (2019) Impactos de Predições Climáticas Futuras sobre o Milho de Segunda Safra em Agrossistema em Região de Transição de Bioma no Estado do Mato Grosso. Rev Bras Meteorol [online] 34:335–347. https://doi.org/10.1590/0102-77863340241
3. Angstrom A (1924) Solar and terrestrial radiation. Q J R Meteorol Soc 50:121–125. https://doi.org/10.1002/qj.49705021008
4. Battisti R, Sentelhas PC, Parker PS, Nendel C, Câmara GMS, Farias JRB, Basso CJ (2018) Assessment of crop-management strategies to improve soybean resilience to climate change in Southern Brazil Crop & Pasture. Science 69:154–162. https://doi.org/10.1071/CP17293
5. Battisti R, Bender FD, Sentelhas PC (2019a) Assessment of different gridded weather data for soybean yield simulations in Brazil. Theor Appl Climatol 135:237–247. https://doi.org/10.1007/s00704-018-2383-y
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