Mapping of climatic data in Northeast Thailand: Temperature and solar radiation

Mathematical models have been very useful in reducing challenges encountered by researchers due to the inability of having solar radiation data or lack of instrumental sites at every point on the Earth. This work aimed at investigating the prediction performance of Hargreaves-Samani’s model in estimating global solar radiation (GSR) out of the many other empirical models so far formulated for this purpose. This model basically uses maximum and minimum temperature data and basically used in mid-latitudes. The paper attempts to assess the predictive performance of Hargreaves-Samani’s model in the Savanna region using Yola as a case study. Estimated values of GSR from one month data adopted from the Meteorological station of the Department of Geography, Federal University of Technology, Yola, Nigeria was used for this purpose. Using this model shows a 95% index of agreement (IA) with the observed values; which suggests a good model performance and can also be used in estimating global solar radiation in the Savanna region particularly in areas with little or no such climatic data.

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Ventilated Double Window for the Preheating of the Ventilation Air Comparison of Its Performance in a Northern and a Southern European Climate

Journal of Renewable Energy ◽

10.1155/2013/290865 ◽

2013 ◽

Vol 2013 ◽

pp. 1-11 ◽

Cited By ~ 4

Author(s):

Jorge S. Carlos ◽

Helena Corvacho

Keyword(s):

Sensitivity Analysis ◽

Solar Radiation ◽

Indoor Air ◽

Climatic Data ◽

Relevant Factor ◽

Outdoor Air ◽

Cold Winter ◽

Passive System ◽

Reference Levels ◽

European Climate

Keeping the indoor air quality within the reference levels requires that the polluted indoor air be replaced by fresh air coming from the outside. This paper presents a sensitivity analysis and a series of simulations where the performance of this passive system is studied. The influence of each relevant factor, like the wind, the solar radiation, and the outdoor air temperature, is assessed. Two different local sets of climatic data were chosen, a mild and a cold winter.

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Techno-Economic Study of Installing 10 MW PV Power Plant in Sudan

Volume 6B: Energy ◽

10.1115/imece2016-66996 ◽

2016 ◽

Author(s):

Ahmed Abuelyamen ◽

Mohand H. Mohamed

Keyword(s):

Power Plant ◽

Solar Radiation ◽

Financial Analysis ◽

Tracking System ◽

Electric Energy ◽

High Ratio ◽

Climatic Data ◽

Solar Pv ◽

Ghg Reduction ◽

Fixed System

This work investigates the installation of a 10 MW solar PV power plant in a sustainable city in Sudan. Initially, the climatic data such as relative humidity, temperature and horizontal solar radiation over 30 cities in Sudan were collected from NASA web page, then the behavior of all climatic data was analyzed. Annual daily solar radiation on a tilted surface was also calculated over the 30 locations around the country. It was found that the maximum value of tilted average solar radiation is 6.61 KWh/day at Dungola from fixed mode and 8.93 kWh/m2/day from tracking mode. Consequently, the location was selected as an optimum spot for building the solar PV power plant. Additionally, the available solar PV panels on the market were judged according to the maximum module efficiency and high ratio value of module capacity to frame area. The project lifetime is considered as 25 years. RETScreen v.4 software was used to simulate the feasibility analysis of the project based on electric power generated from fixed and tracking modes of operation, financial analysis and greenhouse gas emissions. The study showed that, technically, the proposed plant can generate up to 16.209 GWh of electric energy annually from the fixed system and 21.828 GWh from the tracking system. Environmentally, the annual net GHG reduction is 16,000 and 21,600 tons of CO2 from fixed and tracking systems respectively. From a financial standpoint, the cost-effective indicators were calculated and it was found that the IRR and payback period for the fixed system plant were 0.6% and 23.6 years, respectively. While for tracking system plant, figures were 2.66% and 19.4 years, respectively.

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The criterion of the presumption of biophysiological temperature and the cooling guide for the determination of human comfort in the City of Rutba

ALUSTATH JOURNAL FOR HUMAN AND SOCIAL SCIENCES ◽

10.36473/ujhss.v227i2.720 ◽

2018 ◽

Vol 227 (2) ◽

pp. 307-316

Author(s):

Lect. Intisar Sukkar Khioun

Keyword(s):

Relative Humidity ◽

Solar Radiation ◽

Climatic Data ◽

Human Comfort ◽

Air Movement ◽

The Impact ◽

The Relationship ◽

The City ◽

Climate Studies

The relationship between man and climate is of great importance in climate studies, as climate is the most natural climatic element in the sense of comfort or distress of man, and humans can live comfortably if the degree of heat between (17-31 m) and the human feeling of heat and cold and then rest or discomfort not only caused by the air temperature but depends on many elements including solar radiation, air movement, relative humidity, the level of human activity and the type of clothing worn, and the presumption has used Biophysiological temperature and Cooling guide in this study to demonstrate the impact of climate on human comfort in the city of Rutba and relying on the climatic data for thirty years.

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Rare freshwater sponges of Australasia: new record of Umborotula bogorensis (Porifera: Spongillida: Spongillidae) from the Sakaerat Biosphere Reserve in Northeast Thailand

European Journal of Taxonomy ◽

10.5852/ejt.2017.260 ◽

2017 ◽

Cited By ~ 1

Author(s):

Nisit Ruengsawang ◽

Narumon Sangpradub ◽

Taksin Artchawakom ◽

Roberto Pronzato ◽

Renata Manconi

Keyword(s):

New Record ◽

Biosphere Reserve ◽

Taxonomic Status ◽

Botanical Garden ◽

Geographic Range ◽

New Order ◽

Climatic Data ◽

Northeast Thailand ◽

Freshwater Sponges ◽

The Rich

Umborotula bogorensis (Weber, 1890) is a freshwater sponge species that is recorded occasionally, mainly on islands and peninsulas of Australasia. Less than 10 records with morphological descriptions and illustrations have been published so far, and the most recent record is dated 1978. A list of the few voucher specimens from museum collections is provided here together with the rich unpublished Sasaki collection from Japan, Korea, and Taiwan, recently deposited in a Japanese museum. The present new record from Northeast Thailand enlarges the geographic range of U. bogorensis to the Indochina mainland. A comparison of historical data vs present Thai records is performed by morpho-analysis (SEM) as well as biogeographic, ecological and climatic data. Results show low variability in shape and size of the diagnostic morphotraits in populations scattered over the wide geographic range. Here we also formally accept the new taxonomic status (rank elevation) of the previous suborder Spongillina as a new order Spongillida. The presence of this potentially threatened species in the Sakaerat Biosphere Reserve, together with its possible long-term persistence in the Bogor Botanical Garden, may support its conservation. Only a census of the known, extremely scattered populations will define the status of this species.

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Optical Performance of Vertical Single-Axis Tracked Solar Panels with Seasonal Adjustment of Tilt-Angles

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.271-273.45 ◽

2011 ◽

Vol 271-273 ◽

pp. 45-51

Author(s):

Run Sheng Tang ◽

Tian Ming Zhang ◽

Hao Zhong

Keyword(s):

Solar Radiation ◽

Tilt Angle ◽

Seasonal Adjustment ◽

Climatic Data ◽

The Sun ◽

Optical Performance ◽

Solar Panels ◽

Empirical Correlations ◽

Mathematical Procedure ◽

Calculation Results

To investigate the optical performance of vertical single-axis tracked solar panels with the tilt-angle of solar panels being seasonally adjusted (4T-V-A tracked solar panels, in short) as compared with fixed and full 2-axis tracked solar panels, a mathematical procedure to estimate the daily collectible radiation on fixed and tracked panels is suggested based on the monthly horizontal radiation. Calculation results showed that the optimal date on which tilt-angle adjustments were seasonally made was about 23 days from the equinoxes, the seasonal optimal tilt-angles of a 4T-V-A tracked solar panel for maximizing seasonal energy collection strongly depended on site latitudes, and the corresponding maximum annual collectible radiation on such tracked panel was about 97% of solar radiation annually collected by a dual-axis tracked panel, slightly higher than that on those tracking the sun about south-north axis inclined at a yearly fixed tilt-angle from the horizon. Empirical correlations for a quick estimation of seasonal optimal tilt-angle of vertical single-axis tracked solar panels were also proposed based on climatic data of 32 sites in China.

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Agroclimatic atlas - prototype

10.5194/ems2021-475 ◽

2021 ◽

Author(s):

Karel Jedlička ◽

Pavel Hájek ◽

Tomáš Andrš ◽

Otakar Čerba ◽

Jiří Valeš ◽

...

Keyword(s):

Solar Radiation ◽

Climatic Factors ◽

Total Solar Radiation ◽

Climatic Data ◽

Comprehensive Overview ◽

Design Concepts ◽

Web Map ◽

Area Of Interest ◽

Precipitation Total ◽

Frost Free Period

Our contribution presents a prototype of Agroclimatic atlas - a web map application, presenting agroclimatic factors: Frost-free period, Water balance, Total precipitation, Total solar radiation, Last date with soil temperature above 10 &#176;C for nitrogen application, Number of days with growing temperatures for a crop, Number of days with optimal growing temperatures for a crop HSU - Heat stress units for a crop, The factors are calculated based on algorithms described in&#160;Calculation of Agro-Climatic Factors from Global Climatic Data&#160;(Jedli&#269;ka et al. 2021, doi:&#160;&#160;10.3390/app11031245).The agroclimatic atlas application aims to provide a comprehensive overview of agriculture-related climatic characteristics of an area of interest in a time retrospective.&#160; The application can be used by both an individual farmer or a precision farming expert exploring a wider area.The principal source of climatic variables (such as temperature, rainfall, evaporation, runoff, and solar radiation) used in the atlas is the&#160;ERA5-Land dataset&#160;(available as the&#160;Copernicus Climate Change Service (C3S) at its Climate Date Store).&#160;The contemporary version of the Agroclimatic Atlas application is accessible from here https://www.mdpi.com/2076-3417/11/3/1245#. This version is in Czech only and portrays data from Czechia 10 years backward. However, the application is under ongoing development driven by the H2020 projects&#160;Stargate,&#160;Sieusoil, and&#160;Smartagrihubs. Therefore a newer version will be presented at the conference. The first design concepts can be seen in the figure below.<img src="https://contentmanager.copernicus.org/fileStorageProxy.php?f=gnp.475eafd0808065334309161/sdaolpUECMynit/1202SME&app=m&a=0&c=31dbfa2ddfd3719b82491d259ccc4117&ct=x&pn=gnp.elif&d=1" alt="">Figure 1. - Mockup of Agroclimatic atlas application, accessible from https://xd.adobe.com/view/65199b72-db2f-420a-aee2-bc90dc83aaea-304a/

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Historical and Future Typical Meteorological Years for 33 locations in Greece: a handy tool for various applications

10.5194/ems2021-337 ◽

2021 ◽

Author(s):

Basil Psiloglou ◽

Harry D. Kambezidis ◽

Konstantinos V. Varotsos ◽

Dimitris G. Kaskaoutis ◽

Dimiitris Karagiannis ◽

...

Keyword(s):

Solar Radiation ◽

Design Tool ◽

Weather Data ◽

Climate Simulation ◽

Total Solar Radiation ◽

Climatic Data ◽

Data Set ◽

Specific Location ◽

Daily Data

It is generally accepted that a climatic data set of meteorological measurements with true sequences and real interdependencies between meteorological variables is needed for a representative climate simulation. In the late 1970s the Typical Meteorological Year (TMY) concept was introduced in USA as a design tool for approximating expected climate conditions at specific locations, at a time when computers were much slower and had less memory than today.&#160;A TMY is a collation of selected weather data for a specific location, listing usually hourly values of meteorological and solar radiation elements for one-year period. The values are generated from a data bank much longer than a year in duration, at least 10 years. It is specially selected so that it presents the range of weather phenomena for the location in question, while still giving annual averages that are consistent with the long-term averages for the specific location. Each TMY data file consists of 12 months chosen as most &#8220;typical&#8220; among the years present in the long-term data set. Although TMYs do not provide information about extreme events and do not necessarily represent actual conditions at any given time, they still reflect all the climatic information of the location.&#160;TMY sets remain in popular use until today providing a relatively concise data set from which system performance estimates can be developed, without the need of incorporating large amounts of data into simulation models.&#160;TMY sets for 33 locations in Greece distributed all over the country were developed, covering for the first time all climatic zones, for both historical and future periods. Historical TMY sets generation was based on meteorological data collected from the Hellenic National Meteorological Service (HNMS) network in Greece in the period 1985-2014, while the corresponding total solar radiation values have been derived through the Meteorological Radiation Model (MRM).Moreover, the generation of future TMY sets for Greece was also performed, for all 33 locations. To this aim, bias adjusted daily data for the closest grid point to the HNMS station&#8217;s location were employed from the RCA4 Regional Climate Model of the Swedish Meteorological and Hydrological Institute (SMHI) driven by the Earth system model of the Max Planck Institute for Meteorology (MPI-M). Simulations were carried out in the framework of the EURO-CORDEX modeling experiment, with a horizontal RCA4 model resolution of 0.11o (~12 x 12 km). We used daily data for four periods: the 1985-2014 used as reference period and the 2021-2050, 2046-2070 and 2071-2100 future periods under RCP4.5 and RCP8.5 scenarios.&#160;This work was carried out in the framework of the &#8220;Development of synergistic and integrated methods and tools for monitoring, management and forecasting of environmental parameters and pressures&#8221; (KRIPIS-THESPIA-II) Greek national funded project.

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High-resolution global grids of revised Priestley–Taylor and Hargreaves–Samani coefficients for assessing ASCE-standardized reference crop evapotranspiration and solar radiation

Earth System Science Data ◽

10.5194/essd-9-615-2017 ◽

2017 ◽

Vol 9 (2) ◽

pp. 615-638 ◽

Cited By ~ 14

Author(s):

Vassilis G. Aschonitis ◽

Dimitris Papamichail ◽

Kleoniki Demertzi ◽

Nicolo Colombani ◽

Micol Mastrocicco ◽

...

Keyword(s):

Solar Radiation ◽

Climatic Data ◽

Climatic Zones ◽

Reference Crop Evapotranspiration ◽

Weighted Averages ◽

The Usa ◽

Validation Procedure ◽

The Mean ◽

American Society ◽

Reference Crop

Abstract. The objective of the study is to provide global grids (0.5°) of revised annual coefficients for the Priestley–Taylor (P-T) and Hargreaves–Samani (H-S) evapotranspiration methods after calibration based on the ASCE (American Society of Civil Engineers)-standardized Penman–Monteith method (the ASCE method includes two reference crops: short-clipped grass and tall alfalfa). The analysis also includes the development of a global grid of revised annual coefficients for solar radiation (Rs) estimations using the respective Rs formula of H-S. The analysis was based on global gridded climatic data of the period 1950–2000. The method for deriving annual coefficients of the P-T and H-S methods was based on partial weighted averages (PWAs) of their mean monthly values. This method estimates the annual values considering the amplitude of the parameter under investigation (ETo and Rs) giving more weight to the monthly coefficients of the months with higher ETo values (or Rs values for the case of the H-S radiation formula). The method also eliminates the effect of unreasonably high or low monthly coefficients that may occur during periods where ETo and Rs fall below a specific threshold. The new coefficients were validated based on data from 140 stations located in various climatic zones of the USA and Australia with expanded observations up to 2016. The validation procedure for ETo estimations of the short reference crop showed that the P-T and H-S methods with the new revised coefficients outperformed the standard methods reducing the estimated root mean square error (RMSE) in ETo values by 40 and 25 %, respectively. The estimations of Rs using the H-S formula with revised coefficients reduced the RMSE by 28 % in comparison to the standard H-S formula. Finally, a raster database was built consisting of (a) global maps for the mean monthly ETo values estimated by ASCE-standardized method for both reference crops, (b) global maps for the revised annual coefficients of the P-T and H-S evapotranspiration methods for both reference crops and a global map for the revised annual coefficient of the H-S radiation formula and (c) global maps that indicate the optimum locations for using the standard P-T and H-S methods and their possible annual errors based on reference values. The database can support estimations of ETo and solar radiation for locations where climatic data are limited and it can support studies which require such estimations on larger scales (e.g. country, continent, world). The datasets produced in this study are archived in the PANGAEA database (https://doi.org/10.1594/PANGAEA.868808) and in the ESRN database (http://www.esrn-database.org or http://esrn-database.weebly.com).

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Estimating hourly incoming solar radiation from limited meteorological data

Weed Science ◽

10.1614/ws-05-098r.1 ◽

2006 ◽

Vol 54 (1) ◽

pp. 182-189 ◽

Cited By ~ 50

Author(s):

Kurt Spokas ◽

Frank Forcella

Keyword(s):

Solar Radiation ◽

Growth Models ◽

Meteorological Data ◽

Pearson Correlation ◽

Absolute Error ◽

Incident Radiation ◽

Climatic Data ◽

Agricultural Field ◽

Radiation Beam ◽

Soil System

Two major properties that determine weed seed germination are soil temperature and moisture content. Incident radiation is the primary variable controlling energy input to the soil system and thereby influences both moisture and temperature profiles. However, many agricultural field sites lack proper instrumentation to measure solar radiation directly. To overcome this shortcoming, an empirical model was developed to estimate total incident solar radiation (beam and diffuse) with hourly time steps. Input parameters for the model are latitude, longitude, and elevation of the field site, along with daily precipitation with daily minimum and maximum air temperatures. Field validation of this model was conducted at a total of 18 sites, where sufficient meteorological data were available for validation, allowing a total of 42 individual yearly comparisons. The model performed well, with an average Pearson correlation of 0.92, modeling index of 0.95, modeling efficiency of 0.80, root mean square error of 111 W m−2, and a mean absolute error of 56 W m−2. These results compare favorably to other developed empirical solar radiation models but with the advantage of predicting hourly solar radiation for the entire year based on limited climatic data and no site-specific calibration requirement. This solar radiation prediction tool can be integrated into dormancy, germination, and growth models to improve microclimate-based simulation of development of weeds and other plants.

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