scholarly journals New high-resolution gridded dataset of daily mean, minimum, and maximum temperature and relative humidity for Central Europe (HYRAS)

2020 ◽  
Vol 142 (3-4) ◽  
pp. 1531-1553
Author(s):  
Christène Razafimaharo ◽  
Stefan Krähenmann ◽  
Simona Höpp ◽  
Monika Rauthe ◽  
Thomas Deutschländer
Keyword(s):  
High Resolution ◽  
Relative Humidity ◽  
Heat Waves ◽  
Background Field ◽  
Dew Point ◽  
Maximum Temperature ◽  
Topographic Effects ◽  
Station Grid ◽  
Catchment Areas

Abstract This study presents daily high-resolution (5 km × 5 km) grids of mean, minimum, and maximum temperature and relative humidity for Germany and its catchment areas, from 1951 to 2015. These observational datasets (HYRAS) are based upon measurements gathered for Germany and its neighbouring countries, in total more than 1300 stations, gridded in two steps: first, the generation of a background field, using non-linear vertical temperature profiles, and then an inverse distance weighting scheme to interpolate the residuals, subsequently added onto the background field. The modified Euclidian distances used integrate elevation, distance to the coast, and urban heat island (UHI) effect. A direct station-grid comparison and cross-validation yield low errors for the temperature grids over most of the domain and greater deviations in more complex terrain. The interpolation of relative humidity is more uncertain due to its inherent spatial inhomogeneity and indirect derivation using dew point temperature. Compared with other gridded observational datasets, HYRAS benefits from its high resolution and captures complex topographic effects. HYRAS improves upon its predecessor by providing datasets for additional variables (minimum and maximum temperature), integrating temperature inversions, maritime influence and UHI effect, and representing a larger area. With a long-term observational dataset of multiple meteorological variables also including precipitation, various climatological analyses are possible. We present long-term historical climate trends and relevant indices of climate extremes, pointing towards a significantly warming climate over Germany, with no significant change in total precipitation. We also evaluate extreme events, specifically the summer heat waves of 2003 and 2015.

scholarly journals A Typical Meteorological Year Generation Based on NASA Satellite Imagery (GEOS-I) for Sokoto, Nigeria

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Olayinka S. Ohunakin ◽  
Muyiwa S. Adaramola ◽  
Olanrewaju M. Oyewola ◽  
Richard L. Fagbenle ◽  
Fidelis I. Abam
Keyword(s):  
Energy Systems ◽  
Building Energy ◽  
Global Solar Radiation ◽  
Dew Point ◽  
Weather Data ◽  
Maximum Temperature ◽  
Building Energy Simulation ◽  
Dew Point Temperature ◽  
Northwest Region

Computer simulation of buildings and solar energy systems are being used increasingly in energy assessments and design. This paper evaluates the typical meteorological year (TMY) for Sokoto, northwest region, Nigeria, using 23-year hourly weather data including global solar radiation, dew point temperature, mean temperature, maximum temperature, minimum temperature, relative humidity, and wind speed. Filkenstein-Schafer statistical method was utilized for the creation of a TMY for the site. The persistence of mean dry bulb temperature and daily global horizontal radiation on the five candidate months were evaluated. TMY predictions were compared with the 23-year long-term average values and are found to have close agreement and can be used in building energy simulation for comparative energy efficiency study.

scholarly journals Long term monthly and inter-seasonal weather variability analysis for the lower Shivalik foothills of Punjab

MAUSAM ◽  
2022 ◽  
Vol 73 (1) ◽  
pp. 173-180
Author(s):  
NAVNEET KAUR ◽  
M.J. SINGH ◽  
SUKHJEET KAUR
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Minimum Temperature ◽  
Maximum Temperature ◽  
Linear Regression Method ◽  
Post Monsoon ◽  
Sunshine Hours ◽  
Annual Minimum Temperature ◽  
Weather Parameters

This paper aims to study the long-term trends in different weather parameters, i.e., temperature, rainfall, rainy days, sunshine hours, evaporation, relative humidity and temperature over Lower Shivalik foothills of Punjab. The daily weather data of about 35 years from agrometeorological observatory of Regional Research Station Ballowal Saunkhri representing Lower Shivalik foothills had been used for trend analysis for kharif (May - October), rabi (November - April), winter (January - February), pre-monsoon (March - May), monsoon (June - September) and post monsoon (October - December) season. The linear regression method has been used to estimate the magnitude of change per year and its coefficient of determination, whose statistical significance was checked by the F test. The annual maximum temperature, morning and evening relative humidity has increased whereas rainfall, evaporation sunshine hours and wind speed has decreased significantly at this region. No significant change in annual minimum temperature and diurnal range has been observed. Monthly maximum temperature revealed significant increase except January, June and December, whereas, monthly minimum temperature increased significantly for February, March and October and decreased for June. Among different seasons, maximum temperature increased significantly for all seasons except winter season, whereas, minimum temperature increased significantly for kharif and post monsoon season only. The evaporation, sunshine hours and wind speed have also decreased and relative humidity decreased significantly at this region. Significant reduction in kharif, monsoon and post monsoon rainfall has been observed at Lower Shivalik foothills. As the region lacks assured irrigation facilities so decreasing rainfall and change in the other weather parameters will have profound effects on the agriculture in this region so there is need to develop climate resilient agricultural technologies.

scholarly journals A Consistent Methodology to Evaluate Temperature and Heat Wave Future Projections for Cities: A Case Study for Lisbon

2020 ◽  
Vol 10 (3) ◽  
pp. 1149 ◽  
Author(s):  
Alfredo Rocha ◽  
Susana C. Pereira ◽  
Carolina Viceto ◽  
Rui Silva ◽  
Jorge Neto ◽  
...  
Keyword(s):  
Climate Change ◽  
Heat Wave ◽  
Heat Waves ◽  
Maximum Temperature ◽  
Present Climate ◽  
Average Maximum ◽  
Recent Climate ◽  
Average Maximum Temperature ◽  
Accumulated Temperature

Heat waves are large-scale atmospheric phenomena that may cause heat stress in ecosystems and socio-economic activities. In cities, morbidity and mortality may increase during a heat wave, overloading health and emergency services. In the face of climate change and associated warming, cities need to adapt and mitigate the effects of heat waves. This study suggests a new method to evaluate heat waves’ impacts on cities by considering some aspects of heat waves that are not usually considered in other similar studies. The method devises heat wave quantities that are easy to calculate; it is relevant to assessing their impacts and permits the development of adaptation measures. This study applies the suggested method to quantify various aspects of heat waves in Lisbon for future climate projections considering future mid-term (2046–2065) and long-term (2081–2100) climates under the RCP8.5 greenhouse emission scenario. This is achieved through the analysis of various regional climate simulations performed with the WRF model and an ensemble of EURO-CORDEX models. This allows an estimation of uncertainty and confidence of the projections. To evaluate the climate change properties of heat waves, statistics for future climates are compared to those for a reference recent climate. Simulated temperatures are first bias corrected to minimize the model systematic errors relative to observations. The temperature for mid and long-term futures is expected to increase relative to the present by 1.6 °C and 3.6 °C, respectively, with late summer months registering the highest increases. The number of heat wave days per year will increase on average from 10, in the present climate, to 38 and 63 in mid and long-term climates, respectively. Heat wave duration, intensity, average maximum temperature, and accumulated temperature during a heat wave will also increase. Heat waves account for an annual average of accumulated temperature of 358 °C·day in the present climate, while in the mid and long-term, future climates account for 1270 °C·day and 2078 °C·day, respectively. The largest increases are expected to occur from July to October. Extreme intensity and long-duration heat waves with an average maximum temperature of more than 40 °C are expected to occur in the future climates.

scholarly journals Investigation of Low-Cost and Optical Particulate Matter Sensors for Ambient Monitoring

Atmosphere ◽  
2020 ◽  
Vol 11 (10) ◽  
pp. 1040
Author(s):  
Mariusz Rogulski ◽  
Artur Badyda
Keyword(s):  
Particulate Matter ◽  
Relative Humidity ◽  
Low Cost ◽  
Reference Station ◽  
Correction Function ◽  
Maximum Temperature ◽  
Large Set ◽  
Campaign Evaluation ◽  
The Impact

This article presents a long-term evaluation of low-cost particulate matter (PM) sensors in a field measurements campaign. Evaluation was performed in two phases. During the first five months of the campaign, two PM sensors were simultaneously compared with the results from the reference air quality monitoring station in various atmospheric conditions—from the days with freezing cold (minimum temperature below −10 °C) and high relative humidity (up to 95%) to the days with the maximum temperature above 30 °C and low relative humidity (at the level of 25%). Based on the PM10 measurements, the correlation coefficients for both devices in relation to the reference station were determined (r = 0.91 and r = 0.94, respectively), as well as the impact of temperature and relative humidity on measurements from the low-cost sensors in relation to the reference values. The correction function was formulated based on this large set of low-cost PM10 measurements and referential values. The effectiveness of the corrective function was verified during the second measurement campaign carried out in the city of Nowy Sącz (located in southern Poland) for the same five months in the following year. The absolute values of the long-term percentage errors obtained after adjustment were reduced to a maximum of about 20%, and the average percentage errors were usually around 10%.

scholarly journals Impact of Genetic Improvements of Rice on Its Water Use and Effects of Climate Variability in Egypt

Agriculture ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 865
Author(s):  
Mohamed Mehana ◽  
Mohamed Abdelrahman ◽  
Yasmin Emadeldin ◽  
Jai S. Rohila ◽  
Raghupathy Karthikeyan
Keyword(s):  
Relative Humidity ◽  
Climate Variability ◽  
Negative Impact ◽  
Rice Production ◽  
Maximum Temperature ◽  
Rice Cultivars ◽  
Rice Productivity ◽  
Unit Productivity ◽  
The Impact

Developing and disseminating resilient rice cultivars with increased productivity is a key solution to the problem of limited natural resources such as land and water. We investigated trends in rice cultivation areas and the overall production in Egypt between 2000 and 2018. This study identified rice cultivars that showed potential for high productivity when cultivated under limited irrigation. The results indicated that there were significant annual reductions in both the rice-cultivated area (−1.7% per year) and the production (−1.9% per year) during the study period. Among the commonly cultivated varieties, Sakha101 showed the highest land unit productivity, while Sakha102 showed the highest water unit productivity. The impact of deploying new cultivars was analyzed by substitution scenarios. The results showed that substituting cultivars Giza179 and Sakha107 has the potential to increase land productivity by 15.8% and 22.6%, respectively. This could result in 0.8 million m3 in water savings compared to 2018 water consumption. Long-term impacts of climate variability on the minimum and maximum temperature, relative humidity, and average precipitation during on- and off-season for rice productivity were also analyzed using an autoregressive distributed lag (ARDL) model. The results indicated that climate variability has an overall negative impact on rice productivity. Specifically, minimum temperature and on- and off-season precipitation had major long-term impacts, while higher relative humidity had a pronounced short-term impact on rice yields. The study revealed that short-duration cultivars with higher yields provided greater net savings in irrigation resources. These analyses are critical to guide the development of strategic management plans to mitigate short- and long-term climate effects on overall rice production and for developing and deploying improved rice varieties for sustainable rice production.

scholarly journals Trend Analysis of Temperature and Humidity in Kwara State, Nigeria

2020 ◽  
Vol 13 (3-4) ◽  
pp. 44-50
Author(s):  
Adeniyi Adedapo
Keyword(s):  
Climate Change ◽  
Relative Humidity ◽  
Human Health ◽  
Trend Analysis ◽  
Maximum Temperature ◽  
Temperature Minimum ◽  
Significant Difference ◽  
Temperature And Humidity ◽  
Anomaly Index

Abstract This paper examines the trend analysis of temperature and relative humidity in Kwara State. Climatic data on annual mean temperature (minimum and maximum) and relative humidity for 40 years (1978-2017) were collected from Nigerian Meteorological Agency (NIMET) Ilorin. Semi-Average method, Mann- Kendull statistics and regression method were used to analyse the trend in temperature and relative humidity. The Standardized Anomaly Index (SAI) was also used to examine the changes in temperature and humidity over the period of 1978-2017. The result of the analysis indicates that temperature (minimum and maximum) and relative humidity exhibit an upward trend. This implies that temperature and relative humidity increase over the period of 1978-2017. The Mann-Kendull statistics values show that there is no significant difference in the values of temperature (minimum and maximum) and relative humidity. The result of the Standardized Anomaly Index (SAI) also revealed that the values of temperature and humidity fluctuated around the long –term mean. About 50% of the annual average relative humidity falls above the long term average while 40% of the annual mean maximum temperature falls above the long term average. It can therefore, be deduced that there is the possibility of increment in the values of temperature and relative humidity which could cause a serious challenge to human health and climate change. The study therefore, suggests that increase and fluctuations in temperature and relative humidity should be a critical factor in designing strategies to mitigate the effect of climate change on the environment and human health.

scholarly journals Two millennia of climate variability in the Central Mediterranean

2008 ◽  
Vol 4 (5) ◽  
pp. 1089-1113 ◽  
Author(s):  
C. Taricco ◽  
M. Ghil ◽  
G. Vivaldo
Keyword(s):  
High Resolution ◽  
Climate Variability ◽  
Ice Age ◽  
Maximum Temperature ◽  
Last Millennium ◽  
Central Mediterranean ◽  
Temperature Proxy ◽  
Climatic Time Series ◽  
The Last Two Millennia

Abstract. This experimental work addresses the need for high-resolution, long and homogeneous climatic time series that facilitate the study of climate variability over time scales of decades to millennia. We present a high-resolution record of foraminiferal δ18O from a Central Mediterranean sediment core that covers the last two millennia. The record was analyzed using advanced spectral methods and shows highly significant oscillatory components with periods of roughly 600, 350, 200, 125 and 11 years. Comparison with the spectra of composite temperature-proxy series over the last millennium reveals that the δ18O trend and 200-y components are well correlated with the long-term Northern Hemisphere temperature variations over the last millennium, showing a maximum at the Medieval Optimum and a shallower local minimum at the Little Ice Age. In the preceding millennium the same δ18O components also reveal a deep maximum (temperature minimum) at about 0 AD.

scholarly journals Effect of a simulated heat wave in thermal and aerial environment broiler-rearing environment

2016 ◽  
Vol 36 (2) ◽  
pp. 271-280 ◽  
Author(s):  
Marcos M. do Vale ◽  
Daniella J. de Moura ◽  
Irenilza de A. Nääs ◽  
Thayla M. R. C. Curi ◽  
Karla A. O. Lima
Keyword(s):  
Carbon Monoxide ◽  
Relative Humidity ◽  
Heat Wave ◽  
Heat Waves ◽  
Extreme Heat ◽  
Mitigation Measures ◽  
Maximum Temperature ◽  
Data Sampling ◽  
Climatic Chamber ◽  
Rearing Environment

ABSTRACT Global warming increases the occurrence of events such as extreme heat waves. Research on thermal and air conditions affecting broiler-rearing environment are important to evaluate the animal welfare under extreme heat aiming mitigation measures. This study aimed at evaluating the effect of a simulated heat wave, in a climatic chamber, on the thermal and air environment of 42-day-old broilers. One hundred and sixty broilers were housed and reared for 42 days in a climatic chamber; the animals were divided into eight pens. Heat wave simulation was performed on the 42nd day, the period of great impact and data sampling. The analyzed variables were room and litter temperatures, relative humidity, concentrations of oxygen, carbon monoxide and ammonia at each pen. These variables were assessed each two hours, starting at 8 am, simulating a day heating up to 4 pm, when it is reached the maximum temperature. By the results, we concluded that increasing room temperatures promoted a proportional raise in litter temperatures, contributing to ammonia volatilization. In addition, oxygen concentrations decreased with increasing temperatures; and the carbon monoxide was only observed at temperatures above 27.0 °C, relative humidity higher than 88.4% and litter temperatures superior to 30.3 °C.

PSIV-5 Definition of environmental variables and critical periods to evaluate heat tolerance in maternal-line pigs based on single-step genomic reaction norms

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 297-298
Author(s):  
Pedro Henrique F Freitas ◽  
Jay S Johnson ◽  
Shi-Yi Chen ◽  
Sirlene F Lázaro ◽  
Yijian Huang ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Heat Tolerance ◽  
Critical Period ◽  
Dew Point ◽  
Maximum Temperature ◽  
Environment Interaction ◽  
Weather Station ◽  
Critical Periods ◽  
Genetic Progress ◽  
Maternal Line

Abstract Heat stress (HS) is a major welfare and economic issue in the swine industry. However, it is not a trivial task to appropriately quantify the environmental HS. Therefore, this study aimed to 1) define the critical periods and environmental descriptors (based on public weather station information) to evaluate heat tolerance (HT); and 2) estimate genetic parameters for HT in Large White pigs. The traits included in this study were: weaning weight (WW; kg), off-test weight (OTW; kg), total number of piglets born (TNB), number of piglets born alive (NBA), and number of piglets weaned (WN). The number of phenotypic records ranged from 6,059 (WN) to 172,984 (TNB), and genotypes were available for 8,686 animals. Seven climatic variables (maximum, minimum and average temperatures, average relative humidity, dew point, discomfort index and temperature-humidity index) based on public weather station records were compared based on three criteria [GxE estimate as measured by the slope term; theoretical accuracy of the genomic estimated breeding values (GEBV); deviation of GEBV per environmental value]. Relative humidity (for WN and WW) and maximum temperature (for OTW, TNB, and NBA) are the recommended environmental gradients for the studied traits. The acute HS (average of 30 days before measurement date) was the critical period recommended for OTW. For WN and WW, a period of 34 days prior to farrowing up to weaning is recommended. For TNB and NBA, the critical period of 20 days prior breeding to 30 days into gestation is recommended. In general, WN and WW were largely affected by the environment, while the remaining traits showed moderate correlations (OTW, TNB, and NBA). Heritabilities estimated for HT ranged from 0.08 (WW) to 0.25 (OTW). In summary, these results suggest that there is genotype-by-environment interaction for all traits analyzed, and genetic progress can be achieved through genetic selection.

scholarly journals Aphid incidence and its correlation with different environmental factors

1970 ◽  
Vol 7 (1) ◽  
pp. 15-18 ◽  
Author(s):  
MR Hasan ◽  
M Ahmad ◽  
MH Rahman ◽  
MA Haque
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Environmental Factors ◽  
Minimum Temperature ◽  
Dew Point ◽  
Aphid Population ◽  
Maximum Temperature ◽  
Mustard Aphid ◽  
Mustard Plant ◽  
Rain Fall

The aphid incidence and its correlation with environmental factors were studied. Mustard variety "Sampad" was used as test crop. Aphid incidence varied significantly at various parts of mustard plant and time of the day. The highest number of aphid was observed in the vegetative parts of the mustard plant in the morning. High cloudiness, relative humidity and dew point favoured the aphid population and slight rain fall quickly declined the aphid population. Among the different environmental factors maximum temperature, dew point and sun shine hours were positively correlated with aphid population and minimum temperature, relative humidity and wind speed were negatively correlated with aphid population. Keywords: Mustard aphid; Incidence; Environmental factors DOI: 10.3329/jbau.v7i1.4791 J. Bangladesh Agril. Univ. 7(1): 15-18, 2009

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