Evaluation of models for the dew point temperature determination

Górnicki, Krzysztof; Winiczenko, Radosław; Kaleta, Agnieszka; Choińska, Aneta

doi:10.31648/ts.5425

Cited by 14 publications

(7 citation statements)

References 30 publications

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“…As suggested by previous studies (e.g., Endo et al., 2019; He & Alapaty, 2018), the cloud base height is estimated as the lifted condensation level (LCL), which can be calculated using a barometric formula as well as surface air temperature and relative humidity, and the air temperature at LCL can also be estimated (Barnes, 1968; Górnicki et al., 2017; von Herrmann, 1906). The terminal velocity of a raindrop can be estimated from the raindrop diameter and cloud base height (Best, 1950a).…”

Section: Methodsmentioning

confidence: 99%

Changes in Below‐Cloud Evaporation Affect Precipitation Isotopes During Five Decades of Warming Across China

et al. 2021

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Based on daily meteorological records for 651 sites across China during the period 1960–2018, we estimated the changes in isotopic variations in raindrops as they descend from cloud base to ground over past decades, and tested the sensitivity of isotopic variations to climate parameters like air temperature and relative humidity. Air temperature correlates positively and relative humidity correlates negatively with below‐cloud isotopic variation. Generally, the below‐cloud evaporation effect on precipitation isotopes in the arid and semi‐arid regions of China is much greater than that in the humid and semi‐humid regions, although the impact might be reduced under cold‐arid or hot‐humid conditions. With aridity increasing with distance from the coast, the continental effect of precipitation isotopes is modified due to the below‐cloud evaporation. The seasonal pattern of the measured isotopic composition in precipitation near the ground and estimated at cloud base, is still similar in most regions, although the seasonal range is higher at the ground. During the last five decades, the below‐cloud evaporation effect has enhanced for the cold and arid regions of China especially across Qinghai‐Tibet Plateau and Inner Mongolia, due to combined effects of increasing air temperature and decreasing relative humidity. Although the below‐cloud evaporation effect is not always the dominant factor influencing the variability of stable isotopes, it needs to be considered as one of the contributing factors. This enhanced effect may impact the interpretation of past climate based on stable water isotopes, particularly in paleoclimate studies using speleothems and tree rings.

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Section: Methodsmentioning

confidence: 99%

Changes in Below‐Cloud Evaporation Affect Precipitation Isotopes During Five Decades of Warming Across China

et al. 2021

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“…It can be therefore stated that the partial vapor pressure is equal to the partial saturation vapor pressure at the dew point temperature. Dew point temperature is preferred by meteorologists over relative humidity as an indicator of human comfort [15] and also used in forecasting the rain, frost, and fog formation as well as the probability of thunderstorms [16]. Dew point greater than 60°C at lower atmosphere gives the probability of intense thunderstorms [17].…”

Section: Introductionmentioning

confidence: 99%

Solar Radiation, Air Temperature, Relative Humidity, and Dew Point Study: Damak, Jhapa, Nepal

Shrestha¹,

Thapa

Gautam

2019

International Journal of Photoenergy

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Monitoring and prediction of the climatic phenomenon are of keen interest in recent years because it has great influence in the lives of people and their environments. This paper is aimed at reporting the variation of daily and monthly solar radiation, air temperature, relative humidity (RH), and dew point over the year of 2013 based on the data obtained from the weather station situated in Damak, Nepal. The result shows that on a clear day, the variation of solar radiation and RH follows the Gaussian function in which the first one has an upward trend and the second one has a downward trend. However, the change in air temperature satisfies the sine function. The dew point temperature shows somewhat complex behavior. Monthly variation of solar radiation, air temperature, and dew point shows a similar pattern, lower at winter and higher in summer. Maximum solar radiation (331 Wm-2) was observed in May and minimum (170 Wm-2) in December. Air temperature and dew point had the highest value from June to September nearly at 29°C and 25°C, respectively. The lowest value of the relative humidity (55.4%) in April indicates the driest month of the year. Dew point was also calculated from the actual readings of air temperature and relative humidity using the online calculator, and the calculated value showed the exact linear relationship with the observed value. The diurnal and nocturnal temperature of each month showed that temperature difference was relatively lower (less than 10°C) at summer rather than in winter.

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“…The goodness of fit of the tested ANNs to the experimental data was evaluated with the correlation coefficient (R), the reduced chi-square (χ 2 ), and the root mean square error (RMSE) [45,46]. The higher the R-value, and lower the RMSE and χ 2 values confirm better goodness of fit.…”

Section: Somatotypes Modelling-artificial Neural Network (Ann)mentioning

confidence: 99%

Application of Artificial Neural Network to Somatotype Determination

2021

Self Cite

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Somatotype characteristics are important for the selection of sporting activities, as well as and the prevalence of several chronic diseases. Nowadays the most common method of somatotyping is the Heath–Carter method, which calculates the somatotype base on 10 anthropometric parameters. Another possibility for evaluation of somatotype gives commonly used bioelectrical impedance analysis), but the accuracy of the proposed formulas is questioned. Therefore, we aimed to investigate the possibility of applying an artificial neural network to achieve the formulas, which allow us to determine the endomorphy and mesomorphy using data on body height and weight and raw bioelectrical impedance analysis data in young women. The endomorphy (Endo), ectomorphy (Ecto), and mesomorphy (Meso) ratings were determined using artificial neural networks and the Heath–Carter method. To identify critical parameters and their degree of impact on the artificial neural network outputs, a sensitivity analysis was performed. The multi-layer perceptron MLP 4-4-1 (input: body mass index (BMI), reactance, resistance, and resting metabolic rate) for the Endo somatotype was proposed (root mean squared error (RMSE) = 0.66, χ2 = 0.66). The MLP 4-4-1 (input: BMI, fat-free mass, resistance, and total body water) for the Meso somatotype was proposed (RMSE = 0.76, χ2 = 0.87). All somatotypes (Endo, Meso and Ecto) can be calculated using MLP 2-4-3 (input: BMI and resistance) with accuracy RMSE = 0.67 and χ2 = 0.51. The bioelectrical impedance analysis and Heath–Carter method compliance was evaluated with the statistical algorithm proposed by Bland and Altman. The artificial neural network-based formulas allow us to determine the endomorphy and mesomorphy in young women’s ratings with high accuracy and agreement with the Heath–Carter method. The results of our study indicate the successful application of artificial neural network-based model in predicting the somatotype of young women. The artificial neural network model can be practically used in bioelectrical impedance analysis devices in the future.

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Evaluation of models for the dew point temperature determination

Cited by 14 publications

References 30 publications

Changes in Below‐Cloud Evaporation Affect Precipitation Isotopes During Five Decades of Warming Across China

Changes in Below‐Cloud Evaporation Affect Precipitation Isotopes During Five Decades of Warming Across China

Solar Radiation, Air Temperature, Relative Humidity, and Dew Point Study: Damak, Jhapa, Nepal

Application of Artificial Neural Network to Somatotype Determination

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