SEASONAL AND INTERANNUAL PATTERN OF METEOROLOGICAL VARIABLES IN CUIABÁ, MATO GROSSO STATE, BRAZIL

ABSTRACT. Cuiab´a is located on the border of the Pantanal and Cerrado, in Mato Grosso State, which is recognized as one of the biggest agricultural producers of Brazil. The use of natural resources in a sustainable manner requires knowledge of the regional meteorological variables. Thus, the objective of this study was to characterize the seasonal and interannual pattern of meteorological variables in Cuiab´a. The meteorological data from 1961 to 2011 were provided by the Instituto Nacional de Meteorologia (INMET – National Institute of Meteorology). The results have shown interannual and seasonal variations of precipitation, solar radiation, air temperature and relative humidity, and wind speed and direction, establishing two main distinct seasons (rainy and dry). On average, 89% of the rainfall occurred in the wet season. The annual average values of daily global radiation, mean, minimum and maximum temperature and relative humidity were 15.6 MJ m–2 y–1, 27.9◦C, 23.0◦C, 30.0◦C and 71.6%, respectively. Themaximum temperature and the wind speed had no seasonal pattern. The wind speed average decreased in the NWdirectionand increased in the S direction.Keywords: meteorological variables, climatology, ENSO. RESUMO. Cuiabá está localizado na fronteira do Pantanal com o Cerrado, no Mato Grosso, que é reconhecido como um dos maiores produtores agrícolas do Brasil. A utilização dos recursos naturais de forma sustentável requer o conhecimento das variáveis meteorológicas em escala regional. Assim, o objetivo deste estudo foi caracterizar o padrão sazonal e interanual das variáveis meteorológicas em Cuiabá. Os dados meteorológicos de 1961 a 2011 foram fornecidos pelo Instituto Nacional de Meteorologia (INMET). Os resultados mostraram variações interanuais e sazonais de precipitação, radiação solar, temperatura e umidade relativa do ar e velocidade e direção do vento, estabelecendo duas principais estações distintas (chuvosa e seca). Em média, 89% da precipitação ocorreu na estação chuvosa. Os valores médios anuais de radiação diária global, temperatura do ar média, mínima e máxima e umidade relativa do ar foram 15,6 MJ m–2 y–1, 27,9◦C, 23,0◦C, 30,0◦C e 71,6%, respectivamente. A temperatura máxima e a velocidade do vento não tiveram padrão sazonal. A velocidade média do vento diminuiu na direção NW e aumentou na direção S.Palavras-chave: variáveis meteorológicas, climatologia, ENOS.

Download Full-text

Comparative Study of Evapotranspiration Variation and its Relationship with other Climatic Parameters in Asaba and Uyo

FUOYE Journal of Engineering and Technology ◽

10.46792/fuoyejet.v3i2.221 ◽

2018 ◽

Vol 3 (2) ◽

Author(s):

Okwunna M Umego ◽

Temitayo A Ewemoje ◽

Oluwaseun A Ilesanmi

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Solar Radiation ◽

Reference Evapotranspiration ◽

Meteorological Data ◽

Small Variation ◽

Climatic Variables ◽

Maximum Temperature ◽

Climatic Parameters ◽

Sunshine Hours

This study was carried out to assess the variations of Reference Evapotranspiration (ETO also denoted with RET) calculated using FAO-56 Penman Monteith model of two locations Asaba and Uyo and evaluate its relationships with the variations of other climatic parameters. Meteorological data of forty one years (1975-2015) and thirty five years (1981-2015) period for Asaba and Uyo, respectively gotten from Nigeria Meteorological Agency, Abuja were used. It was observed that the variations of Evapotranspiration (ET) in both locations were in line with two seasons (rainy and dry) normally experienced in Nigeria having its highest value in March (4.8 mm/day) for Asaba and for Uyo in February (4.5 mm/day); and its lowest value in August (3.1 mm/day) for Asaba and in July (2.9 mm/day) for Uyo. ET variation when compared with other climatic variables in both locations was observed to have the same trend with maximum temperature, solar radiation and sunshine hours. It also has the same variation with minimum temperature though with slight deviation. It was observed that ET variation is inversely proportional to the variation relative humidity. Wind speed displayed relatively small variation in its trend over the study period and is not in line with the variations of ET.Keywords— Evapotranspiration, Climatic Variables, FAO Penman-Monteith Model, Variations

Download Full-text

Evaluation of FAO-56 Procedures for Estimating Reference Evapotranspiration Using Missing Climatic Data for a Brazilian Tropical Savanna

Water ◽

10.3390/w13131763 ◽

2021 ◽

Vol 13 (13) ◽

pp. 1763

Author(s):

Luiz Claudio Galvão do Valle Júnior ◽

George L. Vourlitis ◽

Leone Francisco Amorim Curado ◽

Rafael da Silva Palácios ◽

José de S. Nogueira ◽

...

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Water Resource Management ◽

Reference Evapotranspiration ◽

Meteorological Data ◽

Climatic Conditions ◽

Climatic Variables ◽

Climatic Data ◽

Wet Season ◽

Radiation Data

The Brazilian savanna (Cerrado) has been heavily impacted by agricultural activities over the last four to five decades, and reliable estimates of reference evapotranspiration (ETo) are needed for water resource management and irrigation agriculture. The Penman–Monteith (PM) is one of the most accepted models for ETo estimation, but it requires many inputs that are not commonly available. Therefore, assessing the FAO guidelines to compute ETo when meteorological data are missing could lead to a better understanding of which variables are critically important for reliable estimates of ETo and how climatic variables are related to water requirements and atmospheric demands. In this study, ETo was computed for a grass-dominated part of the Cerrado from April 2010 to August 2019. We tested 12 different scenarios considering radiation, relative humidity, and/or wind speed as missing climatic data using guidelines given by the FAO. Our results presented that wind speed and actual vapor pressure do not affect ETo estimates as much as the other climatic variables; therefore, in the Cerrado’s conditions, wind speed and relative humidity measurements are less required than temperature and radiation data. When radiation data were missing, the computed ETo was overestimated compared to the benchmark. FAO procedures to estimate the net radiation presented good results during the wet season; however, during the dry season, their results were overestimated because the method could not estimate negative Rn. Our results indicate that radiation data have the highest impact on ETo for our study area and presumably for regions with similar climatic conditions. In addition, those FAO procedures for estimating radiation are not suitable when radiation data are missing.

Download Full-text

Evaluation of FAO-56 procedures for estimating reference evapotranspiration using missing climatic data for a Brazilian tropical savanna

10.22541/au.162074314.47282029/v1 ◽

2021 ◽

Author(s):

Luiz Claudio Valle Junior ◽

George Vourlitis ◽

Leone Francisco Curado ◽

Rafael Palacios ◽

José Nogueira ◽

...

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Reference Evapotranspiration ◽

Meteorological Data ◽

Climatic Data ◽

Wet Season ◽

Resources Management ◽

Radiation Data ◽

D Values ◽

Irrigation Agriculture

Since the Brazilian Cerrado has been heavily impacted by agricultural activities over the last four to five decades, reference evapotranspiration (ETo) plays a pivotal role in water resources management for irrigation agriculture. The Penman-Monteith (PM) is one of the most accepted models for ETo estimation, but it requires many inputs that are not commonly available. Therefore, assessing the FAO guidelines to compute ETo when meteorological data are missing could lead to a better understanding of how climatic variables are related to water requirements and atmospheric demands for a grass-mixed savanna region and which variable impacts the estimates the most. In this study, ETo was computed from April 2010 to August 2019. We tested twelve different scenarios considering radiation, relative humidity, and/or wind speed as missing climatic data using guidelines given by FAO. When wind speed and/or relative humidity data were the only missing data, the PM method showed the lowest errors in the ETo estimates and correlation coefficient (r) and Willmott’s index of agreement (d) values close to 1.0. When radiation data were missing, computed ETo was overestimated compared to the benchmark. FAO procedures to estimate the net radiation presented good results during the wet season; however, during the dry season, their results were overestimated, especially because the method could not estimate negative Rn. Therefore, we can infer that radiation data have the highest impact on ETo for our study area and also regions with similar conditions and FAO guidelines are not suitable when radiation data are missing.

Download Full-text

Potential influence of meteorological variables on forest fire risk in Serbia during the period 2000-2017

Open Geosciences ◽

10.1515/geo-2019-0033 ◽

2019 ◽

Vol 11 (1) ◽

pp. 414-425 ◽

Cited By ~ 3

Author(s):

I. Tošić ◽

D. Mladjan ◽

M. B. Gavrilov ◽

S. Živanović ◽

M. G. Radaković ◽

...

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Forest Fires ◽

Fire Risk ◽

Weather Conditions ◽

Meteorological Variables ◽

Maximum Temperature ◽

Air Temperatures ◽

Input Variables ◽

Forest Fire Risk

Abstract To examine potential relationships between meteorological variables and forest fires in Serbia, daily temperature, precipitation, relative humidity and wind speed data for 15 meteorological stations across Serbia were used to construct fire indices. The daily values of the Ångström and Nesterov indices were calculated for the period 2000–2017. A high number of forest fires occurred in 2007 and 2012 in Serbia, during a period of extremely high air temperatures in 2007, followed by the longest heat wave and the worst drought in 2012. In order to identify the ideal weather conditions for fire break outs, different combinations of input variables, e.g., meteorological variables (mean temperature, precipitation, relative humidity, maximum temperature, minimum temperature and wind speed), fire danger indices or a combination of both, for the Belgrade area during the period 1986–2017, were tested. It was found that using relative humidity or precipitation as a predictor only generates a satisfactory model for forecasting of number of forest fires.

Download Full-text

Evaluation of FAO-56 Procedures for Estimating Reference Evapotranspiration Using Missing Climatic Data for a Brazilian Tropical Savanna

10.21203/rs.3.rs-160543/v1 ◽

2021 ◽

Author(s):

Luiz Cláudio Galvão Valle Júnior ◽

George Louis Vourlitis ◽

Leone Francisco Amorim Curado ◽

Rafael da Silva Palácios ◽

José de Souza Nogueira ◽

...

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Reference Evapotranspiration ◽

Meteorological Data ◽

Climatic Data ◽

Wet Season ◽

Resources Management ◽

Radiation Data ◽

D Values ◽

Irrigation Agriculture

Abstract Since the Brazilian Cerrado has been heavily impacted by agricultural activities over the last four to five decades, reference evapotranspiration (ETo) plays a big role in water resources management for irrigation agriculture. The Penman-Monteith (PM) is one of the most accepted models for ETo estimation, but it requires many inputs that are not commonly available. Therefore, assessing the FAO guidelines to compute ETo when meteorological data are missing could lead to a better understanding of how climatic variables are related to water requirements and atmospheric demands for a grass-mixed savanna region and which variable impacts the estimates the most. ETo was computed from April 2010 to August 2019. We tested twelve different scenarios considering radiation, relative humidity, and/or wind speed as missing climatic data using guidelines given by FAO. When wind speed and/or relative humidity data were the only missing data, the PM method showed the lowest errors in the ETo estimates and correlation coefficient (r) and Willmott’s index of agreement (d) values close to 1.0. When radiation data were missing, computed ETo was overestimated compared to the benchmark. FAO procedures to estimate net radiation presented good results during the wet season; however, during the dry season, their results were overestimated, especially because the method could not estimate negative Rn. Therefore, we can infer that radiation data have the largest impact on ETo for our study area and regions with similar conditions and FAO guidelines are not suitable when radiation data are missing.

Download Full-text

Trends in Crop Reference Evapotranspiration and Climatological Variables Across Ceará State – Brazil

Revista Brasileira de Meteorologia ◽

10.1590/0102-7786334017 ◽

2019 ◽

Vol 34 (1) ◽

pp. 79-88

Author(s):

Virginia Ellen do Nascimento Paulino ◽

Ticiana Marinho de Carvalho Studart ◽

José Nilson B. Campos ◽

Carlos J. Pestana ◽

Renata Mendes Luna ◽

...

Keyword(s):

Wind Speed ◽

Relative Humidity ◽

Air Temperature ◽

Water Demand ◽

Reference Evapotranspiration ◽

Statistical Tests ◽

Meteorological Variables ◽

Maximum Temperature ◽

Positive Trend ◽

Minimum Air Temperature

Abstract Irrigation has a substantial share in total world water demand. At the global level, the withdrawal ratio for agriculture is 69 percent. Irrigation is necessary to compensate evapotranspiration (ET) deficit due to insufficient precipitation. Knowing the impacts of climatic changes on meteorological variables that directly affect the ET is important for successful climate adaptation. This paper analyzes annual trends in measured meteorological variables and in the crop reference evapotranspiration (ET0), at eight climatological stations in Ceará State, Brazil. Two statistical tests for trend analysis were used - Mann-Kendall and linear regression. The results indicate positive trend, statistically significant, in the maximum air temperature in five of eight stations. Minimum air temperature showed positive trend in three stations. Wind speed, sunshine hours and relative humidity presented positive and negative trends. These irregular patterns directly impacted ET0 in three stations. It seems that the increasing trend in ET0 was probably due to a significant increase detected in maximum temperature and minimum air temperature, not fully offset by the decrease in wind speed and relative humidity. The warning from these results is that water demand for irrigation is expected to significantly increase over the next decades on in Jaguaribe River Basin.

Download Full-text

Statistical Analysis of Weather Effects on PM2.5

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.610-613.1033 ◽

2012 ◽

Vol 610-613 ◽

pp. 1033-1040

Author(s):

Wei Dai ◽

Jia Qi Gao ◽

Bo Wang ◽

Feng Ouyang

Keyword(s):

Statistical Analysis ◽

Wind Speed ◽

Relative Humidity ◽

Statistical Methods ◽

Predictive Analytics ◽

Hypothesis Test ◽

Meteorological Data ◽

Weather Conditions ◽

Statistical Distribution ◽

Weather Effects

Effects of weather conditions including temperature, relative humidity, wind speed, wind and direction on PM2.5 were studied using statistical methods. PM2.5 samples were collected during the summer and the winter in a suburb of Shenzhen. Then, correlations, hypothesis test and statistical distribution of PM2.5 and meteorological data were analyzed with IBM SPSS predictive analytics software. Seasonal and daily variations of PM2.5 have been found and these mainly resulted from the weather effects.

Download Full-text

Concentração de Material Particulado (PM10) na Região de Tangará da Serra-MT, Sul da Amazônia Legal (Particulate Matter Concentration in Tangará da Serra Region, Southern Legal...)

Revista Brasileira de Geografia Física ◽

10.26848/rbgf.v7.6.p1145-1152 ◽

2015 ◽

Vol 7 (6) ◽

pp. 1145

Author(s):

Patricia Simone Palhana Moreira ◽

Rivanildo Dallacort ◽

Idilaine De Fatima Lima ◽

Rafael Cesar Tieppo ◽

Cristiano Santos

Keyword(s):

Particulate Matter ◽

Air Quality ◽

Meteorological Data ◽

Average Concentration ◽

Atmospheric Particulate Matter ◽

Meteorological Variables ◽

State University ◽

Mato Grosso ◽

Short Period ◽

Matter Concentration

O objetivo do presente trabalho foi analisar as concentrações de material particulado presente na atmosfera de Tangará da Serra-MT, e correlacioná-los com as variáveis meteorológicas, informações de saúde e com o número de focos de queimada no Estado de Mato Grosso. Os dados de material particulado foram amostrados diariamente a cada 5 minutos, com auxilio do coletor DataRam4, no período de agosto de 2008 a julho de 2009. Os dados meteorológicos foram disponibilizados pelo Instituto Nacional de Meteorologia - INMET, o qual possui uma estação meteorológica instalada na Universidade do Estado de Mato Grosso – UNEMAT. A média de concentração do período foi de 30,1 ug.m-3. Os meses de agosto, setembro e outubro apresentaram concentrações mais altas de material particulado, nestes meses também ocorreram os maiores números de queimadas no Estado. Nos meses em que foram registrados os picos de concentração, houve dias em que os padrões de qualidade do ar foram ultrapassados. No mês de outubro, que foi o de maior concentração, as médias diárias ultrapassaram 150 ug.m-3 em três dias. As concentrações de material particulado (PM10) foram altas apenas em um período relativamente curto, de apenas três meses, nos demais meses as concentrações foram baixas, não ultrapassando os limites de qualidade do ar. A B S T R A C T The aim of this work was to analyze the atmospheric particulate matter concentrations in Tangara da Serra MT, and correlate them with meteorological variables, health information and the number of fire spots in Mato Grosso State. The particulate matter data were sampled every five minutes daily with a DataRam4 collector, from August 2008 to July 2009. Meteorological data were acquired from the National Institute of Meteorology - INMET, which has a weather station at the Mato Grosso State University - UNEMAT. The average concentration for the period was 30.1 ug.m-3. The months of August, September and October showed higher concentrations of particulate matter, in these months also occurred the highest number of fire spots in the State. In the months that had the concentrations peak, there were days when the air quality standards were exceeded. In October, which had the highest concentration, the daily average exceeded 150 ug.m-3 in three days. The concentrations of particulate matter (PM10) were high, but only in a relatively short period of three months, in the remaining months the concentrations were low, not exceeding the limits of air quality. Keywords: Meteorological Variables, Fire Spots, Meteorology.

Download Full-text

Meteorological Variables Associated with Stroke

International Scholarly Research Notices ◽

10.1155/2014/597106 ◽

2014 ◽

Vol 2014 ◽

pp. 1-8 ◽

Cited By ~ 4

Author(s):

Romy Nocera ◽

Philip Petrucelli ◽

Johnathan Park ◽

Eric Stander

Keyword(s):

Atmospheric Pressure ◽

Stroke Risk ◽

Meteorological Data ◽

Medical Data ◽

Meteorological Variables ◽

Maximum Temperature ◽

Stroke Incidence ◽

Physiological Conditions ◽

Patient Demographics ◽

Average Temperature

To elucidate relationships between meteorological variables and incidence of stroke, we studied patients diagnosed with stroke after presenting to the emergency department (May 1, 2010–August 8, 2011). Patient demographics and medical data were reviewed retrospectively with regional meteorological data. Across 467 days, 134 stroke events were recorded on 114 days. On stroke days, maximum temperature (max T) and atmospheric pressure (AP) combined were a significant predictor of stroke (max T odds ratio (OR) = 1.014, 95% confidence interval (CI) = 1.003–1.026, and P=0.04; AP: OR = 1.033, 95% CI = 0.997–1.071, and P=0.02). When the patient could identify the hour of the stroke, average temperature (avg T) was significantly higher than nonstroke hours (18.2°C versus 16.16°C, P=0.04). Daily fluctuations in AP and avg T also had significant effects on stroke incidence (AP: OR = 0.629, 95% CI = 0.512–0.773, and P=0.0001; avg T OR = 1.1399, 95% CI = 1.218–606, and P=0.0001). Patient age, stroke history, body mass index, ethnicity, and sex were further contributors to stroke risk. Temperature, atmospheric pressure, and certain physiological conditions likely play roles in weather-related stroke susceptibility. The mechanisms driving these associations are not fully understood.

Download Full-text

Variation in the estimations of ET<sub>o</sub> and crop water use due to the sensor accuracy of the meteorological variables

Natural Hazards and Earth System Science ◽

10.5194/nhess-13-1401-2013 ◽

2013 ◽

Vol 13 (6) ◽

pp. 1401-1410 ◽

Cited By ~ 2

Author(s):

R. Moratiel ◽

A. Martínez-Cob ◽

B. Latorre

Keyword(s):

Water Management ◽

Wind Speed ◽

Relative Humidity ◽

Irrigation Water ◽

Meteorological Variables ◽

Crop Water ◽

Water Requirements ◽

Crop Water Use ◽

Irrigation Districts ◽

Annual Scale

Abstract. In agricultural ecosystems the use of evapotranspiration (ET) to improve irrigation water management is generally widespread. Commonly, the crop ET (ETc) is estimated by multiplying the reference crop evapotranspiration (ETo) by a crop coefficient (Kc). Accurate estimation of ETo is critical because it is the main factor affecting the calculation of crop water use and water management. The ETo is generally estimated from recorded meteorological variables at reference weather stations. The main objective of this paper was assessing the effect of the uncertainty due to random noise in the sensors used for measurement of meteorological variables on the estimation of ETo, crop ET and net irrigation requirements of grain corn and alfalfa in three irrigation districts of the middle Ebro River basin. Five scenarios were simulated, four of them individually considering each recorded meteorological variable (temperature, relative humidity, solar radiation and wind speed) and a fifth scenario combining together the uncertainty of all sensors. The uncertainty in relative humidity for irrigation districts Riegos del Alto Aragón (RAA) and Bardenas (BAR), and temperature for irrigation district Canal de Aragón y Cataluña (CAC), were the two most important factors affecting the estimation of ETo, corn ET (ETc_corn), alfalfa ET (ETc_alf), net corn irrigation water requirements (IRncorn) and net alfalfa irrigation water requirements (IRnalf). Nevertheless, this effect was never greater than ±0.5% over annual scale time. The wind speed variable (Scenario 3) was the third variable more influential in the fluctuations (±) of evapotranspiration, followed by solar radiation. Considering the accuracy for all sensors over annual scale time, the variation was about ±1% of ETo, ETc_corn, ETc_alf, IRncorn, and IRnalf. The fluctuations of evapotranspiration were higher at shorter time scale. ETo daily fluctuation remained lower than 5 % during the growing season of corn and alfalfa. This estimation fluctuation in ETo, ETc_corn, ETc_alf , IRncorn, and IRnalf at daily time scale was within an acceptable range, and it can be considered that the sensor accuracy of the meteorological variables is not significant in the estimation of ETo.

Download Full-text