Observed spatiotemporal changes in air temperature, dew point temperature and relative humidity over Myanmar during 2001–2019

2021 ◽  
Vol 134 (1) ◽  
Author(s):  
Zin Mie Mie Sein ◽  
Irfan Ullah ◽  
Vedaste Iyakaremye ◽  
Kamran Azam ◽  
Xieyao Ma ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Dew Point ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Spatiotemporal Changes

scholarly journals Estimate of The Dynamical Change of Air TemperAture, Relative Humidity and Dew Point TemperaTure for Some Selected Station in Iraq

2021 ◽  
Vol 910 (1) ◽  
pp. 012010
Author(s):  
Wedyan G. Nassif ◽  
Sundus H. Jaber ◽  
Salwa S. Naif ◽  
Osama T. Al-Taai
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Meteorological Factors ◽  
Geographical Area ◽  
Dew Point ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Relative Value ◽  
Low Humidity ◽  
Dynamical Change

Abstract Relative humidity can be inferred from the dew point values. When the air temperature and dew point temperatures are very close, the air has high relative humidity. The converse is true when there is a large difference between the air temperature and the dew point temperature, indicating the presence of low humidity air. To understand the expected changes in the climatic elements in the atmosphere, changes in temperature behavior, dew point, and relative humidity have been studied This study used data obtained from the European Center (ECMWF), which includes monthly and annual mean temperatures, dew, and relative humidity during the period (1988-2018) for selected stations in Iraq. The highest values of temperature and dew were recorded in July and August, and they were accompanied by a decrease in relative humidity. The highest value of relative humidity was recorded in December and January, accompanied by a decrease in temperature and dew, as we note through the results that there is an inverse relationship between relative humidity, temperature, and dew point Relative humidity changes when the temperature rises or falls, and the relative humidity may be higher in the morning when the temperature drops. The lowest amount of relative humidity during the day is when the temperature rises, the highest temperature value was recorded on 21July 2017 (12:00 PM) for Basra Station, while the highest relative value is humidity in Basra Governorate. Mosul station on January 21, 2014 (12:00 AM), and the reason is due to meteorological factors and the nature of the geographical area.

scholarly journals Kernel Extreme Learning Machine: An Efficient Model for Estimating Daily Dew Point Temperature Using Weather Data

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2600
Author(s):  
Meysam Alizamir ◽  
Sungwon Kim ◽  
Mohammad Zounemat-Kermani ◽  
Salim Heddam ◽  
Nam Won Kim ◽  
...  
Keyword(s):  
Neural Network ◽  
Relative Humidity ◽  
Extreme Learning Machine ◽  
Air Temperature ◽  
Dew Point ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Input Parameters ◽  
Kernel Extreme Learning Machine ◽  
Learning Machine

Accurate estimation of dew point temperature (Tdew) has a crucial role in sustainable water resource management. This study investigates kernel extreme learning machine (KELM), boosted regression tree (BRT), radial basis function neural network (RBFNN), multilayer perceptron neural network (MLPNN), and multivariate adaptive regression spline (MARS) models for daily dew point temperature estimation at Durham and UC Riverside stations in the United States. Daily time scale measured hydrometeorological data, including wind speed (WS), maximum air temperature (TMAX), minimum air temperature (TMIN), maximum relative humidity (RHMAX), minimum relative humidity (RHMIN), vapor pressure (VP), soil temperature (ST), solar radiation (SR), and dew point temperature (Tdew) were utilized to investigate the applied predictive models. Results of the KELM model were compared with other models using eight different input combinations with respect to root mean square error (RMSE), coefficient of determination (R2), and Nash–Sutcliffe efficiency (NSE) statistical indices. Results showed that the KELM models, using three input parameters, VP, TMAX, and RHMIN, with RMSE = 0.419 °C, NSE = 0.995, and R2 = 0.995 at Durham station, and seven input parameters, VP, ST, RHMAX, TMIN, RHMIN, TMAX, and WS, with RMSE = 0.485 °C, NSE = 0.994, and R2 = 0.994 at UC Riverside station, exhibited better performance in the modeling of daily Tdew. Finally, it was concluded from a comparison of the results that out of the five models applied, the KELM model was found to be the most robust by improving the performance of BRT, RBFNN, MLPNN, and MARS models in the testing phase at both stations.

Observed changes in relative humidity and dew point temperature in coastal regions of Iran

2012 ◽  
Vol 110 (3) ◽  
pp. 385-393 ◽  
Author(s):  
P. Hosseinzadeh Talaee ◽  
A. A. Sabziparvar ◽  
Hossein Tabari
Keyword(s):  
Relative Humidity ◽  
Dew Point ◽  
Coastal Regions ◽  
Point Temperature ◽  
Dew Point Temperature

scholarly journals Relationship between Relative Humidity and the Dew Point Temperature in Abuja, Nigeria

OALib ◽  
2021 ◽  
Vol 08 (12) ◽  
pp. 1-13
Author(s):  
Enoch O. Elemo ◽  
Efua A. Ogobor ◽  
Benjamin G. Ayantunji ◽  
Otonye E. Mangete ◽  
George A. Alagbe ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Dew Point ◽  
Point Temperature ◽  
Dew Point Temperature

scholarly journals DRYING KINETICS OF PEELED COFFEE SUBMITTED TO DIFFERENT TEMPERATURES AND RELATIVE HUMIDITY OF THE AIR OF DRYING AFTER PARTIAL DRYING

2020 ◽  
Vol 28 ◽  
pp. 460-476
Author(s):  
Rodrigo Victor Moreira ◽  
Jefferson Luiz Gomes Correa ◽  
Ednilton Tavares de Andrade ◽  
Roney Alves da Rocha
Keyword(s):  
Relative Humidity ◽  
Effective Diffusivity ◽  
Drying Kinetics ◽  
Dew Point ◽  
Diffusivity Coefficient ◽  
Point Temperature ◽  
Dew Point Temperature ◽  
Different Temperatures ◽  
Kinetics Of

The mathematical modelling is fundamental for the understanding of the related processes the drying, that influences the quality of the coffee drink. The objective of this study was to evaluate the influence of different relative humidity of the drying air after partial drying on drying kinetics of peeled coffees. Coffee fruits were harvested in the cherry stage and processed by wet, resulting in the portion of peeled coffee. Eleven treatments of drying were accomplished, being nine results of the combination of three dry bulb temperatures and three dew point temperatures, more two treatments without the control of the dew point temperatures. The control of the relative humidity by the dew point temperature was made after the grains reached the partial drying. Among the studied models, those of Diffusion Approximation and Modified Midilli were the most adequate for describing the drying process of the first and second part of drying respectively. The effective diffusivity coefficient of water in coffee grains ranged from 0.81 x 10-11 to 1.84 x 10-11 m² .s-1 during the first part of the drying and ranged from 1.49 x 10-11 to 3.29 x 10-11 m² .s-1 during the second part of the drying, increasing significantly with the reduction of the dew point temperature and increase of the dry bulb temperature.

Chart of Air-Vapor Mixture Properties at Different Pressures

1941 ◽  
Vol 8 (1) ◽  
pp. A14-A16
Author(s):  
R. C. Binder
Keyword(s):  
Water Vapor ◽  
Relative Humidity ◽  
Total Pressure ◽  
Limited Range ◽  
Dew Point ◽  
Specific Humidity ◽  
Vapor Mixture ◽  
Close Approximation ◽  
Point Temperature ◽  
Dew Point Temperature

Abstract A discussion is given of the use of a total pressure-temperature diagram provided with reversible adiabatic and specific-humidity lines for mixtures of air and water vapor. The graphical relation between dew-point temperature, dry-bulb temperature, and specific humidity is given directly for any total pressure on this chart. From this relation the vapor pressure and relative humidity can be easily calculated. Certain chart lines give a close approximation to the wet-bulb temperature for a limited range. This pressure-temperature chart should be convenient and useful for a wide variety of problems which involve these fundamental thermodynamic properties.

DEW-POINT HYGROMETER FOR USE AT LOW TEMPERATURES

1939 ◽  
Vol 17d (2) ◽  
pp. 35-38 ◽  
Author(s):  
C. A. Winkler
Keyword(s):  
Relative Humidity ◽  
Moisture Content ◽  
Low Temperatures ◽  
Dew Point ◽  
Slow Cooling ◽  
Point Temperature ◽  
Dew Point Temperature

An apparatus is described in which provision for slow cooling of a metal mirror by circulating over it liquid from a vessel in a thermoregulated bath, and the use of multiple thermocouple elements contained in the mirror, enable the dew-point temperature to be gradually approached and accurately determined. Precise measurements of relative humidity at low temperatures, where the moisture content of the air is small, are therefore possible. A precision of ± 0.5% relative humidity was readily attained at temperatures down to − 15 °C.

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