A Comparative Study between Meteorological Data from Conventional and Automatic Weather Stations in Espírito Santo, Brazil

Sales, Ramon Amaro de; Ribeiro, Wilian Rodrigues; Gonçalves, Morgana Scaramussa; Oliveira, Evandro Chaves de; Gelcer, Eduardo; Pezzopane, José Ricardo Macedo; Berilli, Sávio da Silva

doi:10.9734/jeai/2018/40647

Cited by 2 publications

(3 citation statements)

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“…When the Willmott index was greater than 0.8, it represented good agreement. These indices have been used as performance measures to compare weather stations (Arteaga‐Ramírez et al, 2017; Lucas et al, 2010; Sales et al, 2018):

d_{r} goodbreak= 1 goodbreak- (][, \frac{\sum_{i = 1}^{n} {()(, P_{i} goodbreak- O_{i})}^{2}}{()(, \sum_{i = 1}^{n} {(|P_{i} - \overset{true¯}{O}| + |O_{i} - \overset{true¯}{O}|)}^{2})}),

where

d_{r}

corresponds to the Willmott or agreement index,

P_{i}

indicates the observations of the conventional stations at time i ,

O_{i}

are the observations of the automated stations, and

\overset{O}{true}

is the mean of the automated station observations.…”

Section: Methodsmentioning

confidence: 99%

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Continuity of daily temperature time series in the transition from conventional to automated stations for the Colombian coffee network

Ramírez-Carabalí¹,

Sarmiento-Herrera²,

Imbachí³

et al. 2022

Meteorological Applications

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The transition from conventional weather stations (CWSs) to automated weather stations (AWSs) of the Colombian coffee network has required testing their performance and adjusting the temperature measurements to ensure the continuity of the historical CWS series. In this study, the mean (T mean ), minimum (T min ), and maximum temperature (T max ) measurements of CWS and AWS operating in parallel at 36 locations between 2014 and 2019 were compared, and the biases of the daily temperature differences (CWS À AWS), the agreement index (d), and the percentage of data within the allowed range (PR05) were calculated. The most consistent method for calculating T mean and T max for CWS was selected for use on the AWS data. With the standard normal homogeneity test and with the metadata, we found that the series of temperature differences between CWS and AWS was not homogeneous, instrument failures and sensor changes being the main causes of the lack of homogeneity. The statistical analyses indicated that the AWS data need to be adjusted to be continuous with the CWS series. To correct the temperature bias, two approaches were applied: quantile mapping and the additive constant. The results suggest that the quantile mapping adjustments improve the average bias at all stations but do not necessarily bring the percentage to within ±0.5 C. In T min and T mean , 12 AWSs can give continuity with the historical series of the CWS, and for the rest of the stations and variables, the series of the AWSs are independent of the CWSs.

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d_{r} goodbreak= 1 goodbreak- (][, \frac{\sum_{i = 1}^{n} {()(, P_{i} goodbreak- O_{i})}^{2}}{()(, \sum_{i = 1}^{n} {(|P_{i} - \overset{true¯}{O}| + |O_{i} - \overset{true¯}{O}|)}^{2})}),

where

d_{r}

corresponds to the Willmott or agreement index,

P_{i}

indicates the observations of the conventional stations at time i ,

O_{i}

are the observations of the automated stations, and

\overset{O}{true}

is the mean of the automated station observations.…”

Section: Methodsmentioning

confidence: 99%

“…When the Willmott index was greater than 0.8, it represented good agreement. These indices have been used as performance measures to compare weather stations (Arteaga-Ramírez et al, 2017;Lucas et al, 2010;Sales et al, 2018):…”

Section: Evaluation and Validationmentioning

confidence: 99%

Continuity of daily temperature time series in the transition from conventional to automated stations for the Colombian coffee network

Ramírez-Carabalí¹,

Sarmiento-Herrera²,

Imbachí³

et al. 2022

Meteorological Applications

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“…Farming activities are highly dependent on meteorological elements, which make them determining factor for agriculture (Sales et al, 2018a). Through these elements, it is possible to obtain knowledge of the evapotranspiration of the agro-ecosystem, whether for irrigation design and / or management, assuming fundamental importance.…”

Section: Introductionmentioning

confidence: 99%

Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus da Lapa, Ba

Costa

Santos²,

Sales³

et al. 2020

Reveng

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Among the reference evapotranspiration (ETo) equations, the FAO-56 Penman-Monteith (PM FAO-56) model is considered the most accurate, but this model requires a greater amount of meteorological data. On the other hand, there are other methods that require fewer variables and have shown good precision according to the location. The objective of this work was to evaluate the efficiency of four methods for estimation of daily ETo, comparing them with FAO-56 PM equation in Bom Jesus da Lapa, Bahia, Brazil. To do so, a dataset from 2010 to 2017, acquired at the National Institute of Meteorology (INMET), was used. The models were analyzed by means of statistical indicators: Willmott’s concordance index, root mean square error (RMSE), mean bias error (BIAS), coefficient of determination “R²”, correlation coefficient “r” and coefficient of confidence “c”, in addition to the classification of the coefficient of confidence. The results obtained show that Hargreaves and Samani equation was the only method classified as “good” and is recommended. While the models of Camargo, Priestley and Taylor and Benevides and Lopes are not recommended to calculate ETo in the municipality.

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A Comparative Study between Meteorological Data from Conventional and Automatic Weather Stations in Espírito Santo, Brazil

Cited by 2 publications

References 0 publications

Continuity of daily temperature time series in the transition from conventional to automated stations for the Colombian coffee network

Continuity of daily temperature time series in the transition from conventional to automated stations for the Colombian coffee network

Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus da Lapa, Ba

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A Comparative Study between Meteorological Data from Conventional and Automatic Weather Stations in Espírito Santo, Brazil

Cited by 2 publications

References 0 publications

Continuity of daily temperature time series in the transition from conventional to automated stations for the Colombian coffee network

Continuity of daily temperature time series in the transition from conventional to automated stations for the Colombian coffee network

Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus ​​da Lapa, Ba

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Comparison Between Estimation Methods of Reference Evapotranspiration in Bom Jesus da Lapa, Ba