Multivariate adaptive regression splines (MARS) applied to daily reference evapotranspiration modeling with limited weather data
Open accessAbstract
Estimation of reference evapotranspiration (ETo) is very relevant for water resource management. The Penman-Monteith (PM) equation was proposed by the Food and Agriculture Organization (FAO) as the standard method for estimation of ETo. However, this method requires various weather data, such as air temperature, wind speed, solar radiation and relative humidity, which are often unavailable. Thus, the objective of this study was to compare the performance of multivariate adaptive regression splines (MARS) and alternative equations, in their original and calibrated forms, to estimate daily ETo with limited weather data. Daily data from 2002 to 2016 from 8 Brazilian weather stations were used. ETo was estimated using empirical equations, PM equation with missing data and MARS. Four data availability scenarios were evaluated as follows: temperature only, temperature and solar radiation, temperature and relative humidity, and temperature and wind speed. The MARS models demonstrated superior performance in all scenarios. The models that used solar radiation showed the best performance, followed by those that used relative humidity and, finally, wind speed. The models based only on air temperature had the worst performance.
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ML models and techniques have been applied to hydro-meteorological forecasting and leak detection.
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- Authors
- Ferreira, L. B., Duarte, A. B., Cunha, F. F. D., & Fernandes Filho, E. I.
- Affiliations
- Universidade Federal de Viçosa (BR)
- Venue
- Acta Scientiarum Agronomy
- Publisher
- Universidade Estadual de Maringa
- Published
- 2019-03-13
- Volume
- 41
- Issue
- 1
- Pages
- 39880
- ISSN
- 1679-9275 (ISSN-L)
- 1807-8621
- OpenAlex
- W2921871175
- Cited by
- 21
- References
- 31
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 4 · 2022: 6 · 2021: 4 · 2020: 4 · 2019: 1
- FWCI
- 1.93
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Acta Scientiarum Agronomy (publishedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, cc-by)
- Americanae (AECID Library) (submittedVersion, cc-by)
- Americanae (AECID Library) (submittedVersion, other-oa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Redalyc (Universidad Autónoma del Estado de México) (submittedVersion)
- Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Hydrology and Drought Analysis
- Physical Sciences › Environmental Science › Environmental Engineering › Hydrological Forecasting Using AI
- Physical Sciences › Environmental Science › Water Science and Technology › Hydrology and Watershed Management Studies
- Keywords
- reference evapotranspiration, multivariate adaptive regression splines, Penman-Monteith equation, missing meteorological data, solar radiation, relative humidity, wind speed, air temperature, model calibration
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