Can artificial neural networks estimate potential evapotranspiration in Peruvian highlands?

Laqui, Wilber; Zubieta, Ricardo; Rau, Pedro; Mejía, Abel; Lavado‐Casimiro, Waldo; Ingol-Blanco, Eusebio

doi:10.1007/s40808-019-00647-2

Cited by 13 publications

(9 citation statements)

References 41 publications

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“…A recent study developed in the Peruvian Altiplano also found a significant correlation (r = 0.55-0.87, p < 0.05) between potential ET calculated with Hargreaves-Samani and Penman-Monteith methods [45]. The Hargreaves-Samani method has already been used for climatic and hydrological studies in the Andes [18,48,49]. Finally, the evapotranspiration dataset estimated using the Hargreaves Samani method and the observed precipitation were interpolated by the Kriging method (0.20 • × 0.20 • gridcell size) [50], using up to 121 climatic stations.…”

Section: Methodsmentioning

confidence: 87%

Comparative Analysis of Climate Change Impacts on Meteorological, Hydrological, and Agricultural Droughts in the Lake Titicaca Basin

Zubieta

Molina

Laqui

et al. 2021

Water

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The impact of climate change on droughts in the Lake Titicaca, Desaguadero River, and Lake Poopo basins (TDPS system) within the Altiplano region was evaluated by comparing projected 2034–2064 and observed 1984–2014 hydroclimate time series. The study used bias-corrected monthly climate projections from the fifth phase of the Coupled Model Intercomparison Project (CMIP5), under the Representative Concentration Pathway 8.5 (RCP8.5) emission scenarios. Meteorological, agricultural, and hydrological droughts were analyzed from the standardized precipitation, standardized soil moisture, and standardized runoff indices, respectively, the latter two estimated from a hydrological model. Under scenarios of mean temperature increases up to 3 °C and spatially diverse precipitation changes, our results indicate that meteorological, agricultural, and hydrological droughts will become more intense, frequent, and prolonged in most of the TDPS. A significant increase in the frequency of short-term agricultural and hydrological droughts (duration of 1–2 months) is also projected. The expected decline in annual rainfall and the larger evapotranspiration increase in the southern TDPS combine to yield larger projected rises in the frequency and intensity of agricultural and hydrological droughts in this region.

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Section: Methodsmentioning

confidence: 87%

Comparative Analysis of Climate Change Impacts on Meteorological, Hydrological, and Agricultural Droughts in the Lake Titicaca Basin

Zubieta

Molina

Laqui

et al. 2021

Water

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“…The levels and zoning of drought hazard determined by [34], suggest that in the Puno region, there are predominantly levels between very high and high, which makes this region highly exposed to the occurrence of drought events, generated by the deficit of precipitation or by the increase in evapotranspiration [35], the latter being the one that reaches higher values compared to precipitation, as indicated by [36]. Likewise, the levels and zoning of vulnerability to the occurrence of a drought suggest that the high and medium levels are those that occur in the Puno region.…”

Section: Resultsmentioning

confidence: 99%

Analysis and impact of meteorological droughts in the agriculture of Puno region, Peru

et al. 2021

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The research focuses on identifying and characterizing the occurrence of episodes of meteorological droughts in the Puno region in Perú, in order to determine the economic impact of this climatic phenomenon on agricultural activities in the region. From the use of the standardized rainfall index for 12 months (SPI-12) for the period 1981-2019, the occurrence, magnitude, persistence and spatial evolution of drought events in the area were determined, determining that the events that occurred in the years 1982/83, 1989/90 and 1991/92, escalated to levels of severe drought and extreme drought, mainly in the extreme south of the region, which corresponds to the provinces of El Collao, Yunguyo and Chucuito. For the determination of the impact of droughts on agriculture in the region, the records of losses of cultivated areas corresponding to the period 1997-2017 administered by the competent authority were used, finding the non-existence of a direct correlation between the presence of meteorological droughts and the economic losses in production, due to the fact that said information has a general character, not discriminating the different climatic phenomena that generate economic losses in the agriculture sector, therefore, they are not adequate to estimate the economic impact of droughts in the Puno region.

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“…17 developed an empirical FPM correction equation based on the Hargreaves-Samani formula 18 for the Peruvian Andean-Amazon region, while Laqui et al . 19 used artificial neural networks (ANNs) for the determination of ET o and suggested techniques based on ANNs to estimate it in the presence of few variables. Although the FPM formula was applied in these studies to determine ET o , they used different methods to estimate solar radiation indirectly, a variable that is particularly scarce in Peru.…”

Section: Background and Summarymentioning

confidence: 99%

“… 20 , who estimated coefficients at national scale for determining solar radiation, while Laqui et al . 19 determined solar radiation according to data on sunshine duration in the Department of Puno, southern Peru.…”

Section: Background and Summarymentioning

confidence: 99%

PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru

et al. 2022

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A new FAO Penman-Monteith reference evapotranspiration gridded dataset is introduced, called PISCOeo_pm. PISCOeo_pm has been developed for the 1981–2016 period at ~1 km (0.01°) spatial resolution for the entire continental Peruvian territory. The framework for the development of PISCOeo_pm is based on previously generated gridded data of meteorological subvariables such as air temperature (maximum and minimum), sunshine duration, dew point temperature, and wind speed. Different steps, i.e., (i) quality control, (ii) gap-filling, (iii) homogenization, and (iv) spatial interpolation, were applied to the subvariables. Based on the results of an independent validation, on average, PISCOeo_pm exhibits better precision than three existing gridded products (CRU_TS, TerraClimate, and ERA5-Land) because it presents a predictive capacity above the average observed using daily and monthly data and has a higher spatial resolution. Therefore, PISCOeo_pm is useful for better understanding the terrestrial water and energy balances in Peru as well as for its application in fields such as climatology, hydrology, and agronomy, among others.

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Can artificial neural networks estimate potential evapotranspiration in Peruvian highlands?

Cited by 13 publications

References 41 publications

Comparative Analysis of Climate Change Impacts on Meteorological, Hydrological, and Agricultural Droughts in the Lake Titicaca Basin

Comparative Analysis of Climate Change Impacts on Meteorological, Hydrological, and Agricultural Droughts in the Lake Titicaca Basin

Analysis and impact of meteorological droughts in the agriculture of Puno region, Peru

PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru

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