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Journal articles on the topic 'Trends of the season'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

LASKAR, S. I., S. D. KOTAL, and S. K. ROY BHOWMIK. "Analysis of rainfall and temperature trends of selected stations over North East India during last century." MAUSAM 65, no. 4 (2021): 497–508. http://dx.doi.org/10.54302/mausam.v65i4.1184.

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In this study, the trends of seasonal maximum and minimum temperatures and rainfall time series were investigated for 9 selected stations in the north eastern India with the available data stretching between the years 1913-2012.During the period under study the minimum temperature has increasing trends in almost all the stations of north east India except Cherrapunji where it shows decreasing trend in all the season of the year. In case of maximum temperature Cherrapunji, Guwahati and Imphal show increasing trends during all the seasons. Agartala and Shillong show increasing trend of maximum t

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2

Minea, Ionuț, Daniel Boicu, and Oana-Elena Chelariu. "Detection of Groundwater Levels Trends Using Innovative Trend Analysis Method in Temperate Climatic Conditions." Water 12, no. 8 (2020): 2129. http://dx.doi.org/10.3390/w12082129.

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The evolution of groundwater levels is difficult to predict over medium and long term in the context of global climate change. Innovative trend analysis method (ITA) was used to identify these trends, and ITA index was calculated to measure their magnitude. The data used are sourced from 71 hydrogeological wells that were dug between 1983 and 2018 and cover an area of over 8000 km2 developed in the temperate continental climate in the north-eastern part of Romania. The results obtained by applying the ITA show a general positive trend for groundwater level over 50% of wells for winter and spri

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3

DAS, LIPON CHANDRA, and ZHIHUA ZHANG. "ANNUAL AND SEASONAL VARIATIONS IN TEMPERATURE EXTREMES AND RAINFALL IN BANGLADESH, 1989–2018." International Journal of Big Data Mining for Global Warming 03, no. 01 (2021): 2150004. http://dx.doi.org/10.1142/s2630534821500042.

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Based on temperature and rainfall recorded at 34 meteorological stations in Bangladesh during 1989–2018, the trends of yearly average maximum and minimum temperatures have been found to be increasing at the rates of 0.025∘C and 0.018∘C per year. Analysis of seasonal average maximum temperature showed increasing trend for all seasons except the late autumn season. The increasing trend was particularly significant for summer, rainy and autumn seasons. Seasonal average minimum temperature data also showed increasing trends for all seasons. The trend of yearly average rainfall has been found to be

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4

Cosby, Zoe. "Winter trends." Optician 268, no. 6929 (2023): 14–15. http://dx.doi.org/10.12968/opti.2023.268.6929.14.

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The end of autumn and the arrival of winter is always a little bittersweet. But the passing of the seasons gives order to our busy lives, provides a necessary rhythm, and, of course, it's always reassuring to know that spring is moving closer on the seasonal carousel. Winter is the season of coats, colds and Christmas. With that in mind, check out the picks that are catching my eye and softening the blustery blow of the season.

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PHUKAN, RANJAN, and D. SAHA. "Analysis of rainfall trends over Tripura." MAUSAM 73, no. 1 (2022): 27–36. http://dx.doi.org/10.54302/mausam.v73i1.5078.

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Rainfall in India has very high temporal and spatial variability. The rainfall variability affects the livelihood and food habits of people from different regions. In this study, the rainfall trends in two stations in the north-eastern state of Tripura, namely Agartala and Kailashahar have been studied for the period 1955-2017. The state experiences an annual mean of more than 2000 mm of rainfall, out of which, about 60% occurs during the monsoon season and about 30% in pre-monsoon. An attempt has been made to analyze the trends in seasonal and annual rainfall, rainy days and heavy rainfall in

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6

Kumar, Pushpendra, Surendra Kumar Chandniha, A. K. Lohani, A. K. Nema, and Gopal Krishan. "TREND ANALYSIS OF GROUNDWATER LEVEL USING NON-PARAMETRIC TESTS IN ALLUVIAL AQUIFERS OF UTTAR PRADESH, INDIA." Current World Environment 13, no. 1 (2018): 44–54. http://dx.doi.org/10.12944/cwe.13.1.05.

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In the present study, groundwater level trends have been evaluated using the non-parametric methods i.e., Modified Mann-Kendall (MMK) and Sen’s slope estimator during the period 1998 to 2012 at 13 locations in 4 districts of Lucknow division namely Hardoi, Laxmipur, Lucknow and Sitapur of Uttar Pradesh, India. The entire trend analysis has been verified at a significance level of 5 percent. The groundwater level trend analysis has shown negative values for 7 locations covering 54 percent area and positive values for 6 locations covering 46 percent area in pre-monsoon season. However, in post m

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7

Wankhede, Sachin Yadavrao, Ramkrushna Gandhiji Idapuganti, Ulhas Vyankatrao Galkate, and Yenumula Gerard Prasad. "Decadal Trend Analysis of Maximum Temperature at Nagpur District of Maharashtra, India." Journal of Scientific Research and Reports 31, no. 4 (2025): 360–78. https://doi.org/10.9734/jsrr/2025/v31i42957.

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An attempt was made for decadal trend analysis of maximum temperature for monthly, seasonal and annual time series over a period of 1985 to 2024 using the Mann-Kendall Test and Sen’s Slope Estimator method at Nagpur district of Maharashtra. The annual trend in maximum temperatures from 1985 to 2024 showed non-significant increase of 0.004°C. Significant increase of maximum temperature was observed during Northeast monsoon season at 90% confidence level, with a rise of 0.025°C. Winter and summer temperatures exhibit minor, non-significant decreases. Among the months, November showed significant

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8

Karno, Kumar Mondal, A. E. Akhter Md., and Nazrul Islam Md. "TRENDS OF TEMPERATURE AT HIGH- AND LOW-DENSELY POPULATED DIVISIONS IN BANGLADESH." TRENDS OF TEMPERATURE AT HIGH- AND LOW-DENSELY POPULATED DIVISIONS IN BANGLADESH 3, no. 1 (2018): 1–8. https://doi.org/10.5281/zenodo.4485202.

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The present study is carried out to determine the trends in changes in temperature at Dhaka and Khulna divisions in Bangladesh using non parametric Mann-Kendall test for the period 1960-2015. Temperature is considered as one of the most important climatic variables in terms of climate change. Results show increasing trends in all monsoon seasons (pre-monsoon, monsoon and post monsoon season) for both divisions. Highest increasing rate is found in post monsoon season at Dhaka division with Sen’s slope estimate 0.27 ºC/decade which is statistically significant at 99% level. Winter sea

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9

SAMUI, R. P., G. JOHN, S. P. RANSURE, and M. A. PACHANKAR. "Factors affecting the trends in evaporation during different crop growing seasons over India." MAUSAM 62, no. 3 (2021): 391–402. http://dx.doi.org/10.54302/mausam.v62i3.317.

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Evaporation, rainfall and meteorological data for the period 1971-2004 for 58 well distributed stations over India were selected for the study. Trends of evaporation and rainfall in five regions, viz., Northwest, North, Northeast, Central and Peninsular regions of India during different crop growing seasons, viz., kharif, rabi and summer and the meteorological factors contributing towards the trend were analyzed. Annual evaporation shows decreasing trend in all the regions of the country. Trends in seasonal evaporation during kharif, rabi and summer seasons also showed decreasing trends in Nor

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10

Kumar, Pushpendra, Gopal Krishan, Anupam Kumar Nema, Anil Kumar Lohani, and Aradhana Thakur. "Spatial-Temporal Distribution and Trend Analysis of Groundwater Level at Ghazipur District, Uttar Pradesh, India." Current World Environment 17, no. 2 (2022): 349–57. http://dx.doi.org/10.12944/cwe.17.2.7.

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The present study has analysed the Spatial-temporal distribution of groundwater level (GWL) in the Ghazipur district has been calculated using statistical and graphical methods for the period 1998, 2008 and 2018. In the present study, the GWL trend was analysed using the non-parametric Modified Mann-Kendall (MMK) test for the 39 locations of the Ghazipur district of UP, India. The trend analysis has been tested at a 5 % significance level. The mean, minimum and maximum GWL during the pre-monsoon season(PRM) ranged from 3.16 m to 12.71 m. However, in the post-monsoon (PTM) season, it ranges fro

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11

Hernández Ayala, José J., and Rafael Méndez-Tejeda. "Increasing frequency in off-season tropical cyclones and its relation to climate variability and change." Weather and Climate Dynamics 1, no. 2 (2020): 745–57. http://dx.doi.org/10.5194/wcd-1-745-2020.

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Abstract. This article analyzes the relationship between off-season tropical cyclone (TC) frequency and climate variability and change for the Pacific Ocean and Atlantic Ocean basins. TC track data were used to extract the off-season storms for the 1900–2019 period. TC counts were aggregated by decade, and the number of storms for the first 6 decades (presatellite era) was adjusted. Mann–Kendall nonparametric tests were used to identify trends in decadal TC counts and multiple linear regression (MLR) models were used to test if climatic variability or climate change factors explained the trend

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Chand, Mohan, Bikas Bhattarai, Prashant Baral, and Niraj Pradhananga. "Trend Analysis of Temperature Data for Narayani River Basin, Nepal." Sci 1, no. 1 (2019): 21. http://dx.doi.org/10.3390/sci1010021.

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Study of spatiotemporal dynamics of temperature is vital to assess changes in climate, especially in the Himalayan region where livelihoods of billions of people living downstream depends on water coming from the melting of snow and glacier. To this end, temperature trend analysis is carried out in Narayani river basin, a major river basin of Nepal characterized by three climatic regions: tropical, subtropical and alpine. Temperature data from six stations located within the basin are analyzed. The elevation of these stations ranges from 460 to 3800 m asl. and the time period of available temp

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13

Lokhande, J. N., M. U. Kale, and S. B. Wadatkar. "Trend of Crop Water Requirement at Akola (Maharashtra), India." Journal of Applied and Natural Science 9, no. 1 (2017): 441–44. http://dx.doi.org/10.31018/jans.v9i1.1210.

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Climate change scenario badly affects the agriculture. The present study aimed to characterize the trend in maximum temperature and crop water requirement over a last decade at Akola station (Maharashtra State), because of changing trend in meteorological parameters. Study investigated the trends in temperature and reference evapotranspiration using various statistical parameters like mean, coefficient of variation, coefficient of skewness and coefficient of kurtosis. Monthly maximum air temperature showed slightly decreasing trend over summer season while increasing trend over monsoon and win

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14

Raza, M. "ANALYSIS OF PRECIPITATION TRENDS IN GILGIT-BALTISTAN (GB), PAKISTAN." Journal of Mountain Area Research 4 (December 23, 2019): 16. http://dx.doi.org/10.53874/jmar.v4i0.74.

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This article explores seasonal as well as annual trends of precipitation in Gilgit-Baltistan (GB) Pakistan over the period between 1980 and 2012. For the analysis of precipitation trends, non-parametric Mann-Kendall and Sen’s tests were applied. The assessment of precipitation data showed an annual increasing trend of precipitation in GB although this trend is not statistically significant. Seasonal analysis revealed least amount of precipitation occurs in the autumn season which is becoming drier. Trend analysis showed an increasing trend of precipitation in the other three seasons (winter, S

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15

Kunkel, Kenneth E., Thomas R. Karl, Michael F. Squires, Xungang Yin, Steve T. Stegall, and David R. Easterling. "Precipitation Extremes: Trends and Relationships with Average Precipitation and Precipitable Water in the Contiguous United States." Journal of Applied Meteorology and Climatology 59, no. 1 (2020): 125–42. http://dx.doi.org/10.1175/jamc-d-19-0185.1.

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AbstractTrends of extreme precipitation (EP) using various combinations of average return intervals (ARIs) of 1, 2, 5, 10, and 20 years with durations of 1, 2, 5, 10, 20, and 30 days were calculated regionally across the contiguous United States. Changes in the sign of the trend of EP vary by region as well as by ARI and duration, despite the statistically significant upward trends for all combinations of EP thresholds when area averaged across the contiguous United States. Spatially, there is a pronounced east-to-west gradient in the trends of the EP with strong upward trends east of the Rock

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16

Nyitar, Titus, Emmanuel Vezua Tikyaa, Terver Sombo, and Tertsea Igbawua. "ANALYSING THE RELATIONSHIP BETWEEN DIURNAL ROAD TRAFFIC NOISE AND METEOROLOGICAL VARIABLES IN MAKURDI METROPOLIS, NIGERIA." FUDMA JOURNAL OF SCIENCES 9, no. 6 (2025): 228–40. https://doi.org/10.33003/fjs-2025-0906-3726.

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This paper explores the link between diurnal road traffic noise and meteorological variables based on an experimental study conducted in real traffic conditions in Makurdi metropolis during dry and wet seasons. Measurements of sound pressure level (LP), relative humidity, ambient temperature and wind speed were made at four locations of heavy traffic flow for forty days and the sound pressure level (LP) readings were used to compute the equivalent continuous noise level (Leq). Pearson correlation coefficient and Mann-Kendall trend tests were adopted to determine the relationship between equiva

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17

Chand, Mohan Bahadur, Bikas Chandra Bhattarai, Prashant Baral, and Niraj Shankar Pradhananga. "Trend Analysis of Temperature Data for Narayani River Basin, Nepal." Sci 1, no. 2 (2019): 38. http://dx.doi.org/10.3390/sci1020038.

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Study of spatiotemporal dynamics of temperature is vital to assess changes in climate, especially in the Himalayan region where livelihoods of billions of people living downstream depends on water coming from the melting of snow and glacier ice. To this end, temperature trend analysis is carried out in Narayani river basin, a major river basin of Nepal characterized by three climatic regions: tropical, subtropical and alpine. Temperature data from six stations located within the basin were analyzed. The elevation of these stations ranges from 460 to 3800 m a.s.l. and the time period of availab

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18

Chand, Mohan Bahadur, Bikas Chandra Bhattarai, Niraj Shankar Pradhananga, and Prashant Baral. "Trend Analysis of Temperature Data for Narayani River Basin, Nepal." Sci 1, no. 2 (2019): 49. http://dx.doi.org/10.3390/sci1020049.

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Study of spatiotemporal dynamics of temperature is vital to assess changes in climate, especially in the Himalayan region where livelihoods of billions of people living downstream depends on water coming from the melting of snow and glacier ice. To this end, temperature trend analysis is carried out in Narayani river basin, a major river basin of Nepal characterized by three climatic regions: tropical, subtropical and alpine. Temperature data from six stations located within the basin were analyzed. The elevation of these stations ranges from 460 to 3800 m a.s.l. and the time period of availab

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19

Chand, Mohan Bahadur, Bikas Chandra Bhattarai, Niraj Shankar Pradhananga, and Prashant Baral. "Trend Analysis of Temperature Data for the Narayani River Basin, Nepal." Sci 3, no. 1 (2020): 1. http://dx.doi.org/10.3390/sci3010001.

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The study of spatiotemporal variation in temperature is vital to assess changes in climate, especially in the Himalayan region, where the livelihoods of billions of people living downstream depends on water coming from the melting of snow and glacier ice. To this end, temperature trend analysis is carried out in the Narayani River basin, a major river basin of Nepal, characterized by three climatic regions: tropical, subtropical and alpine. Temperature data from six stations located within the basin were analyzed. The elevation of these stations ranges from 460 to 3800 m a.s.l. and the time pe

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20

Yeo, Myeong-Ho, Ujwalkumar D. Patil, Adriana Chang, and Romina King. "Changing Trends in Temperatures and Rainfalls in the Western Pacific: Guam." Climate 11, no. 4 (2023): 81. http://dx.doi.org/10.3390/cli11040081.

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Pacific islands have always been at the front of the great challenge of climate change. In this study, Mann–Kendall’s tau-based slope estimator was implemented to detect statistical trends in daily maximum and minimum temperatures of 2 stations and daily rainfalls at 14 stations over Guam for the period of 1953–2021, respectively, with 17 climate change detection indices. Mann–Kendall tests were implemented to the detection indices with respect to different time frames (i.e., annual, two-seasonal, and four-seasonal). The p-values from Mann–Kendall tests were used to determine the strength of t

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21

Misra, V., and J. P. Michael. "Varied Diagnosis of the Observed Surface Temperature Trends in the Southeast United States." Journal of Climate 26, no. 4 (2013): 1467–72. http://dx.doi.org/10.1175/jcli-d-12-00241.1.

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Abstract This paper diagnoses the temperature trends in maximum (Tmax) and minimum temperatures (Tmin) over a selection of 65 stations spread over the southeast United States (SEUS) from three observed datasets. They are the Cooperative Observer network program (COOP), the COOP data corrected for documented shifts in time of observation (COOP1), and the COOP data additionally corrected for documented changes in instrumentation (COOP2). These 65 stations have been isolated for having the three observed datasets for the same time period from 1948 to 2009. The authors’ comparisons suggest that CO

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Li, Meng, Ronghao Chu, Abu Reza Md Towfiqul Islam, Yuelin Jiang, and Shuanghe Shen. "Attribution Analysis of Long-Term Trends of Aridity Index in the Huai River Basin, Eastern China." Sustainability 12, no. 5 (2020): 1743. http://dx.doi.org/10.3390/su12051743.

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This paper aims to combinedly investigate the spatiotemporal trends of precipitation (Pre), reference evapotranspiration (ET0), and aridity index (AI) by employing nonparametric methods based on daily datasets from 137 meteorological stations during 1961–2014 in the Huai River Basin (HRB). The dominant factors influencing ET0 and AI trends were also explored using the detrended and differential equation methods. Results show that (1) Pre, ET0, and AI were much larger in summer than in other seasons, and AI had a nonsignificant increasing trend in annual time scale, while Pre and ET0 exhibited

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Gujree, Ishfaq, Ijaz Ahmad, Fan Zhang, and Arfan Arshad. "Innovative Trend Analysis of High-Altitude Climatology of Kashmir Valley, North-West Himalayas." Atmosphere 13, no. 5 (2022): 764. http://dx.doi.org/10.3390/atmos13050764.

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This paper investigates the annual and seasonal variations in the minimum and maximum air temperature (Tmin and Tmax) and precipitation over Kashmir valley, Northwestern Himalayas from 1980–2019 by using the innovative trend analysis (ITA), Mann-Kendall (MK), and Sen’s slope estimator methods. The results indicated that the annual and seasonal Tmin and Tmax are increasing for all the six climatic stations, whereas four of them exhibit significant increasing trends at (α = 0.05). Moreover, this increase in Tmin and Tmax was found more pronounced at higher altitude stations, i.e., Pahalgam (2650

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MOHAPATRA, M. "Recent trends in climate of Bangalore." MAUSAM 53, no. 4 (2022): 425–38. http://dx.doi.org/10.54302/mausam.v53i4.1657.

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The linear trends in the monthly, seasonal and annual mean maximum temperature, minimum temperature, average temperature, diurnal range of temperature, rainfall, relative humidities at 0830 & 1730 hr IST of Bangalore city and airport have been analysed based on the data for the period from 1960-95. The variation in surface wind over Bangalore during above period has also been studied to find out impact of urbanisation on weather parameters. It is found that Bangalore city is becoming warmer in terms of mean maximum & mean minimum temperatures. Rate of increase is significantly higher o

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25

Awala, S. K., K. Hove, M. A. Wanga, J. S. Valombola, and O. D. Mwandemele. "Rainfall trend and variability in semi-arid northern Namibia: Implications for smallholder agricultural production." Welwitschia International Journal of Agricultural Sciences 1 (December 29, 2019): 1–25. http://dx.doi.org/10.32642/wijas.v1i0.1364.

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Rainfall defines livelihood patterns among agrarian communities of the climate-change vulnerable semi-arid Sub-Saharan Africa. However, it remains inadequately studied, resulting in ineffective water management policies and weak agricultural growth in the region. Monthly rainfall data collected between 1987 and 2018 at four stations along a 1200 km climatic gradient in northern Namibia were analysed for annual, seasonal and monthly trends and variability. Descriptive measures and the Mann-Kendall test were used for rainfall characterisation and trend detection, respectively. Results showed an

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Muharomah, Riani, and Budi Indra Setiawan. "Identification of Climate Trends and Patterns in South Sumatra." Agromet 36, no. 2 (2022): 79–87. http://dx.doi.org/10.29244/j.agromet.36.2.79-87.

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South Sumatra is one of low-lying provinces in Indonesia with a vast area of peatland that is prone to peat fires and floods. Understanding climate patterns in South Sumatra is very important to anticipate the impacts of extreme weathers. This study identified the climate trends and patterns based on the daily data of temperature, rainfall and evapotranspiration obtained from 1975 to 2021 (46 years). Here, the trend and its significance were detected based on the linear regression and Mann-Kendall test approaches. Characteristics of wet/dry season (start, peak, end) were identified annually ba

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Karloski, Juliana M., and Clark Evans. "Seasonal Influences upon and Long-Term Trends in the Length of the Atlantic Hurricane Season." Journal of Climate 29, no. 1 (2015): 273–92. http://dx.doi.org/10.1175/jcli-d-15-0324.1.

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Abstract Considering a subset of the North Atlantic Ocean south of 30°N and east of 75°W, Kossin found that the Atlantic tropical cyclone (TC) season increased in length, at 80%–90% confidence, by about 2 days per year between 1980 and 2007. It is uncertain, however, whether the same is true over the entire Atlantic basin or when the analysis is extended to 2014. Separately, it is unclear whether meaningful subseasonal variability in the environmental factors necessary for TC formation exists between early- and late-starting (ending) seasons. Quantile regression is used to evaluate long-term t

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Abubakar, Hadisu Bello, Mary C. Scholes, and Francois A. Engelbrecht. "Spatiotemporal Rainfall Variability and Trends Analysis over the Enkangala Escarpment of South Africa (1972–2022)." Atmosphere 16, no. 4 (2025): 414. https://doi.org/10.3390/atmos16040414.

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This study explores rainfall variability and trends in the Enkangala Escarpment of South Africa using station data from 1972 to 2022 (51 years). The coefficient of variation (CV) is indicative of pronounced inter-annual variability in seasonal rainfall totals across the region. The trend-free pre-whitening Mann–Kendall (TFPWMK) test and innovative trend analysis (ITA) were used to determine the presence of monotonic trends in the station records, despite the pronounced inter-annual variability in the time series. Sen’s slope estimator was used to quantify the magnitude of the trends. For a giv

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Smith, Taylor, Bodo Bookhagen, and Aljoscha Rheinwalt. "Spatiotemporal patterns of High Mountain Asia's snowmelt season identified with an automated snowmelt detection algorithm, 1987–2016." Cryosphere 11, no. 5 (2017): 2329–43. http://dx.doi.org/10.5194/tc-11-2329-2017.

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Abstract. High Mountain Asia (HMA) – encompassing the Tibetan Plateau and surrounding mountain ranges – is the primary water source for much of Asia, serving more than a billion downstream users. Many catchments receive the majority of their yearly water budget in the form of snow, which is poorly monitored by sparse in situ weather networks. Both the timing and volume of snowmelt play critical roles in downstream water provision, as many applications – such as agriculture, drinking-water generation, and hydropower – rely on consistent and predictable snowmelt runoff. Here, we examine passive

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Qian, Budong, Xuebin Zhang, Kai Chen, Yang Feng, and Ted O’Brien. "Observed Long-Term Trends for Agroclimatic Conditions in Canada." Journal of Applied Meteorology and Climatology 49, no. 4 (2010): 604–18. http://dx.doi.org/10.1175/2009jamc2275.1.

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Abstract A set of agroclimatic indices representing Canadian climatic conditions for field crop production are analyzed for long-term trends during 1895–2007. The indices are categorized for three crop types: cool season, warm season, and overwintering. Results indicate a significant lengthening of the growing season due to a significantly earlier start and a significantly later end of the growing season. Significant positive trends are also observed for effective growing degree-days and crop heat units at most locations across the country. The occurrence of extremely low temperatures has beco

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Frei, Allan, Kenneth E. Kunkel, and Adao Matonse. "The Seasonal Nature of Extreme Hydrological Events in the Northeastern United States." Journal of Hydrometeorology 16, no. 5 (2015): 2065–85. http://dx.doi.org/10.1175/jhm-d-14-0237.1.

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Abstract Recent analyses of extreme hydrological events across the United States, including those summarized in the recent U.S. Third National Climate Assessment (May 2014), show that extremely large (extreme) precipitation and streamflow events are increasing over much of the country, with particularly steep trends over the northeastern United States. The authors demonstrate that the increase in extreme hydrological events over the northeastern United States is primarily a warm season phenomenon and is caused more by an increase in frequency than magnitude. The frequency of extreme warm seaso

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Knowles, Noah. "Trends in Snow Cover and Related Quantities at Weather Stations in the Conterminous United States." Journal of Climate 28, no. 19 (2015): 7518–28. http://dx.doi.org/10.1175/jcli-d-15-0051.1.

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Abstract Trend tests, linear regression, and canonical correlation analysis were used to quantify changes in National Weather Service Cooperative Observer (COOP) snow depth data and derived quantities, precipitation, snowfall, and temperature over the study period 1950–2010. Despite widespread warming, historical trends in snowfall and snow depth are generally mixed owing to competing influences of trends in precipitation. Trends toward later snow-cover onset in the western half of the conterminous United States and earlier onset in the eastern half and a widespread trend toward earlier final

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Kubik-Komar, Agnieszka, Krystyna Piotrowska-Weryszko, Izabela Kuna-Broniowska, Elżbieta Weryszko-Chmielewska, and Bogusław Michał Kaszewski. "Analysis of changes in Betula pollen season start including the cycle of pollen concentration in atmospheric air." PLOS ONE 16, no. 8 (2021): e0256466. http://dx.doi.org/10.1371/journal.pone.0256466.

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Birch belongs to the most important allergenic taxa in Europe, therefore information on the start dates of the pollen season is very important for allergists and their patients as well as for climatologists. The study examined changes in the start of the birch pollen season as well as determined the trend of these changes. Pollen monitoring was performed in Lublin (eastern Poland) in the period 2001–2019 using the volumetric method. The Makra-test was used to detect periods with significantly higher or lower average of the onset than the average for the whole dataset. Two significant falls in

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Popov, Tatjana, Slobodan Gnjato, and Goran Trbic. "Changes in precipitation over the East Herzegovina region." Glasnik Srpskog geografskog drustva 99, no. 1 (2019): 29–44. http://dx.doi.org/10.2298/gsgd1901029p.

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Changes in annual and seasonal precipitation over the East Herzegovina region in Bosnia and Herzegovina during the 1961-2016 periods were analyzed based on data sets of daily precipitation from 14 meteorological stations and rainfall gauges. The results show a downward trend in annual precipitation over the entire East Herzegovina region. Seasonal trend analysis showed that negative trends prevailed throughout the year, except in autumn season. Most prominent negative trends were registered in summer season throughout the region. In winter and spring season, precipitation displayed trends of b

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Gogoi, Kakoli, and K. Nageswara Rao. "Analysis of Rainfall Trends over Assam, North East India." Current World Environment 17, no. 2 (2022): 435–46. http://dx.doi.org/10.12944/cwe.17.2.15.

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The spatio-temporal variations of long-term rainfall over Assam in the North Eastern part of India were analyzed using data from twenty-six locations during the period 1981-2017. The annual, monthly, and seasonal rainfall trends are assessed by using Mann-Kendall and Sen slope tests over different sub regions. September, December, January, and February months recorded decreasing trends, while May, June, and August exhibited statistically substantial increasing trends. Similarly, annual, pre monsoon season and monsoon seasons exhibited increasing trends, but post monsoon and winter seasons reco

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Ampitiyawatta, A. D., R. M. S. M. Wijenayake, E. P. R. H. H. W. Nilmalgoda, Eranga M. Wimalasiri, and K. C. Kaushalya. "Temporal Rainfall Trends in the Northern and Eastern Coastal Regions of Sri Lanka: An Analysis Spanning from 1981 to 2019." Journal of Food and Agriculture 17, no. 2 (2024): 16–35. https://doi.org/10.4038/jfa.v17i2.5312.

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The annual and seasonal rainfall trends and patterns along the Northern and Eastern coastal belt of Sri Lanka were analyzed by studying the daily rainfall records from 1981 to 2019 from five locations: Jaffna, Kanukkerny Tank, Trincomalee, Batticaloa, and Pottuvil, because no such pattern has been addressed previously. The Mann-Kendall test and Sen’s slope estimator were used to detect the annual and seasonal rainfall trends and the magnitude of the trend, respectively. The findings indicate that the eastern coastal belt exhibits more consistent rainfall patterns both annually and seasonally.

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DEEPESH MACHIWAL and ARUN SHARMA. "Testing homogeneity, stationarity and trend in climatic series at Udaipur – a case study." Journal of Agrometeorology 10, no. 2 (2008): 127–35. http://dx.doi.org/10.54386/jam.v10i2.1191.

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Three seasonal climatological time series, i.e., rainfall, minimum temperature, and maximum temperature of Udaipur in three seasons, i.e. summer, rainy and winter were tested for the presence of homogeneity, stationarity, and trend components. Box plot indicated normality in the rainy season rainfall. Minimum temperature series of rainy season was more uniform and normal than summer and winter season time series. Maximum temperatures during rainy season follow normal distribution. Homogeneity of seasonal time series was tested by using von-Neumann, Cumulative Deviations and Bayesian tests, whi

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Jónsdóttir, Jóna Finndís, Cintia B. Uvo, and Robin T. Clarke. "Trend analysis in Icelandic discharge, temperature and precipitation series by parametric methods." Hydrology Research 39, no. 5-6 (2008): 425–36. http://dx.doi.org/10.2166/nh.2008.002.

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This paper presents results of analyses by parametric methods of annual means of temperature, precipitation and discharge, and of seasonal maximum precipitation at 17, 28 and 10 Icelandic stations, respectively, for the period 1961–2000. Trends in mean seasonal temperature and precipitation are in broad agreement with results found by other authors using other methods. A positive trend appears in both mean annual temperature and mean temperatures in most seasons. Annual mean precipitation trends are positive in most seasons except for negative trends in the September–November season in the sou

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JASWAL, A. K., and A. L. KOPPAR. "Recent climatology and trends in surface humidity over India for 1969-2007." MAUSAM 62, no. 2 (2021): 145–62. http://dx.doi.org/10.54302/mausam.v62i2.270.

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Annual and seasonal trends in specific humidity, relative humidity and dry bulb temperature based upon 215 stations across India are studied. The results of trend analysis show evidence of an increase in air moisture content over India during 1969-2007 with more than 90% stations showing increasing trends in specific humidity. Climatological means of specific humidity and relative humidity for the country are 14.1 g/kg and 63.9% respectively and trends are significantly increasing for all periods except for relative humidity in monsoon season. Annual trends in specific humidity, relative humid

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Adane, Girma Berhe, Birtukan Abebe Hirpa, Cholho Song, and Woo-Kyun Lee. "Rainfall Characterization and Trend Analysis of Wet Spell Length across Varied Landscapes of the Upper Awash River Basin, Ethiopia." Sustainability 12, no. 21 (2020): 9221. http://dx.doi.org/10.3390/su12219221.

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Understanding the timing and variability of rainfall is crucial for the effective management of water resources in river basins dominated by rainfed agricultural practices. Our study aimed to characterize rainfall and analyze the trends in the length of wet spells (LWS) in the Upper Awash River Basin—one of the most water-stressed river basins in Ethiopia. We applied statistical descriptors and a Mann–Kendall (MK) test to determine the onset, end, and LWS for the small (Belg) and main (Kiremt) rainy seasons across different landscapes of the basin. We observed highly stable rainfall onsets in

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Smith, I. N., L. Wilson, and R. Suppiah. "Characteristics of the Northern Australian Rainy Season." Journal of Climate 21, no. 17 (2008): 4298–311. http://dx.doi.org/10.1175/2008jcli2109.1.

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Abstract A trend of increasing rainfall over much of north and northwest Australia over recent decades has contrasted with decreases over much of the rest of the continent. The increases have occurred during the summer months when the rainy season is dominated by the Australian monsoon but is also affected by other events such as tropical cyclones, Madden–Julian oscillations, and sporadic thunderstorms. The problem of diagnosing these trends is considered in terms of changes in the timing of the rainy season. While numerous definitions for rainy/monsoon season onset exist, most are designed to

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Zhang, Along, Ruizhong Gao, Xixi Wang, Tingxi Liu, and Lijing Fang. "Historical Trends in Air Temperature, Precipitation, and Runoff of a Plateau Inland River Watershed in North China." Water 12, no. 1 (2019): 74. http://dx.doi.org/10.3390/w12010074.

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Understanding historical trends in temperature, precipitation, and runoff is important but incomplete for developing adaptive measures to climate change to sustain fragile ecosystems in cold and arid regions, including the Balagaer River watershed on the Mongolian Plateau of northeast China. The objective of this study was to detect such trends in this watershed from 1959 to 2017. The detection was accomplished using a Mann-Kendall sudden change approach at annual and seasonal time scales. The results indicated that the abrupt changes in temperature preceded that in either runoff or precipitat

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KUMAR, AMRENDER, RAKHEE SHARMA, S. ROY, et al. "Possible future climate for rice growing regions in India: Visualising 2050 and pest-related impact thereof." Indian Journal of Agricultural Sciences 88, no. 2 (2018): 197–211. http://dx.doi.org/10.56093/ijas.v88i2.79169.

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Changes in climatic variables may affect phenological phases of crops and affect plant growth and development, these changes also lead to emergence of new pests and diseases. Therefore, there is need to relate the trends of climatic parameters with rice productivity vis-á-vis the pest dynamics in the crop at different sites apart from projecting a future scenario for the crop in the country. For this long-term seasonal, monthly and weekly trends in climatic data, viz. temperature (maximum and minimum), relative humidity (morning and afternoon), rainfall and bright sunshine hours on seasonal (k

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Zalavadiya, Umangkumar B., Himanshi R. Sabhadiya, Divyesh Rameshbhai Vaghela, and Parth J. Kapupara. "Retrospective Trend Analysis of Seasonal and Annual Rainfall Data in the Middle Gujarat Agro-climatic Zone, India." Asian Journal of Advances in Agricultural Research 25, no. 5 (2025): 137–45. https://doi.org/10.9734/ajaar/2025/v25i5624.

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Aims: To analyze the trends in seasonal and annual rainfall data series in the Middle Gujarat Agro-climatic zone, India, over a 30-year period (1991–2020) to inform water resource planning and management in a rainfed agricultural region. Study Design: A retrospective trend analysis using the Mann-Kendall test and Sen’s slope estimator technique. Place and Duration of Study: Middle Gujarat Agro-climatic zone, Gujarat, India, with data analyzed for the period from 1991 to 2020. Methodology: Seasonal and annual rainfall data for the Middle Gujarat Agro-climatic zone were analyzed over a 30-year p

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Arelt, Anila, and Dr Shivakumar J. Nyamati. "Precipitation Trend Analysis of Highland, India." Indian Journal of Environment Engineering 4, no. 1 (2024): 1–7. http://dx.doi.org/10.54105/ijee.a1849.04010524.

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Highland regions often rely heavily on agriculture for livelihoods. Rainfall (including snowfall) trends can directly impact crop yields and agricultural productivity. Monitoring rainfall trends aid in assessing the impacts of climate change on biodiversity, habitat suitability, and ecosystem services. Highland regions are particularly vulnerable to climate change impacts. Analyzing long-term rainfall trends provides valuable insights into climate change patterns and helps in formulating adaptation strategies to cope with changing environmental conditions. This study is based on the long-term

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Anila, Arelt. "Precipitation Trend Analysis of Highland, India." Indian Journal of Environment Engineering (IJEE) 4, no. 1 (2024): 1–7. https://doi.org/10.54105/ijee.A1849.04010524.

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<strong>Abstract:</strong> Highland regions often rely heavily on agriculture for livelihoods. Rainfall (including snowfall) trends can directly impact crop yields and agricultural productivity. Monitoring rainfall trends aid in assessing the impacts of climate change on biodiversity, habitat suitability, and ecosystem services. Highland regions are particularly vulnerable to climate change impacts. Analyzing long-term rainfall trends provides valuable insights into climate change patterns and helps in formulating adaptation strategies to cope with changing environmental conditions. This study

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P. K. SINGH, K.K. SINGH, L. S. RATHORE, and A. K. BAXLA. "Climatic variability in Jhansi region of Uttar Pradesh." Journal of Agrometeorology 11, no. 1 (2009): 51–53. http://dx.doi.org/10.54386/jam.v11i1.1223.

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The daily rainfall and temperature data 1969-2000 of Jhansi were analyzed to know seasonal and annual variability. Three distinct crop growth seasons kharif (26-41 SMW), rabi (42-15 SMW) and summer (16-25 SMW) were characterized for seasonal trends. The stable rainfall period was worked out. The annual and kharif rainfall showed a decrease in rainfall in recent decade (1984-1993). Trend analysis on rainfall reflects a decrease of 0.89 and 1.12 mm per year in annual and kharif season during past 35 years whereas no such specific trend was observed for rabi and summer seasons. The temperature va

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RANA, RANBIRSINGH, SHARDA SINGH, NAVELL CHANDER, RUCHI SOOD, ROHIT SHARMA, and ADITYA ADITYA. "Impacts of changes in climate on mountain water resources of Himachal Pradesh." MAUSAM 65, no. 2 (2014): 153–60. http://dx.doi.org/10.54302/mausam.v65i2.956.

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The study examined the impacts of climate change on water resources, viz., surplus / deficit water balance, snowfall trends and surface water flow of major rivers of Himachal Pradesh. The analysis on surplus water balance clearly showed decreasing trends in all the agro-climatic zones during past three decades. Maximum availability of surplus water balance period showed a shift during July to August and registered a decrease of 35.7 percent. The low hill regions exhibited water surplus during kharif season and water deficit during rabi season, while, mid hill regions exhibited water deficit du

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Sridhar, S. I., and A. Raviraj. "Statistical Trend Analysis of Rainfall in Amaravathi River Basin using Mann-Kendall Test." Current World Environment 12, no. 1 (2017): 89–96. http://dx.doi.org/10.12944/cwe.12.1.11.

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The present study aims to detect the trends in annual and seasonal rainfall and its magnitude in Amaravathi basin, Tamil Nadu. In this study, the mean annual and seasonal rainfall in 10 rain gauge stations of Amaravathi basin have been analysed to determine the trend and its magnitude for the period of 1982-2014. The trend analysis is done using Mann-Kendall and Sen’s slope estimator. The trend analysis results showed wide variations during all the seasons. The increasing trend of rainfall is found to be dominant during north-east monsoon season when compared to other seasons.

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P, Supriya. "Climate Extremes Related with Rainfall Trends in Agniyar River Basin." Current World Environment 19, no. 3 (2025): 1306–13. https://doi.org/10.12944/cwe.19.3.21.

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The rainfall extremes variability due to climate change can be detected by the trend analysis. The trend analysis is implemented for the precipitation data period starting from year 1980 to 2021 (42 years) for the Agniyar river basin. The Mann-Kendall (M-K) test is employed to identify trends in precipitation, while The trend's magnitude is calculated using the Sen's slope method. The rainfall trend in Yearly Maximum Daily Rainfall (YMDR), South West Monsoon (SWM), Summer season, North East Monsoon (NEM), winter season and annual rainfall are computed. The results of twelve rain gauge stations

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