scholarly journals Trends In Seasonal Precipitation And Temperature – A Review In Doti And Surkhet Districts Of Nepal

2013 ◽  
Vol 2 (1) ◽  
pp. 269-279
Author(s):  
Govinda Bhandari
Keyword(s):  
Meteorological Data ◽  
Growing Season ◽  
Seasonal Rainfall ◽  
Annual Rainfall ◽  
Total Rainfall ◽  
Growing Period ◽  
Mean Temperature ◽  
Increasing Trend ◽  
Annual Total ◽  
Precipitation And Temperature

Rainfall and temperature are the crucial factors for affecting the yield of cereals. The annual mean temperature in Surkhet and Doti district is 21.47°C and 22.84°C respectively. The annual total rainfall in Doti and Surkhet district is 1145 mm and 1609 mm respectively. The average seasonal rainfall in (July-November) in Doti and Surkhet is 670.7 mm and 1109 mm. The average seasonal rainfall in (November-March) in Doti and Surkhet is 168 mm and 135 mm. The average seasonal rainfall in (March-June) in Doti and Surkhet is 352 mm and 389 mm. The average seasonal mean temperature in (July-November) in Doti and Surkhet is 25.76°C and 23.7°C. The average seasonal mean temperature in (November-March) in Doti and Surkhet is 16.67°C and 15.48°C. The average seasonal mean temperature in (March-June) in Doti and Surkhet is 25.5°C and 24.69°C. The analysis of meteorological data indicated that the temperature of both districts is on a rising trend. It has been observed no any trend in total seasonal rainfall during wheat and barley growing season (November-March) in Surkhet. Also, the seasonal total rainfall during maize growing period (March-June) has not shown any trend in Doti. Besides, decreasing trend of annual rainfall has been observed in Doti whereas increasing trend of annual rainfall is observed in Surkhet. The temperature in 1985 in Doti and Surkhet has increased and the rainfall in the same year and same districts has decreased that has negatively affected the yield of all the major cereals except wheat. International Journal of Environment, Volume-2, Issue-1, Sep-Nov 2013, Pages 269-279 DOI: http://dx.doi.org/10.3126/ije.v2i1.9227

scholarly journals Analysis of Decadal Rainfall and Temperature Trend in Warri, Nigeria

2021 ◽  
Vol 2 (2) ◽  
pp. 15-18
Author(s):  
Oyeleke Oluwaseun Oyerinde
Keyword(s):  
Temperature Trend ◽  
Monthly Rainfall ◽  
Rainfall Data ◽  
Annual Rainfall ◽  
Total Rainfall ◽  
Monthly Temperature ◽  
Increasing Trend ◽  
Temperature Ranges ◽  
The Mean ◽  
Using Data

This study investigates rainfall and temperature trend in Warri, Delta State, Nigeria using data derived from Nigerian Meteorological Agency between 2005 and 2015. Data was analyzed to reveal trend in temperature and rainfall values in the years under study and to determine whether there were significant variations. Analysis of rainfall data shows that 2007 had the lowest total rainfall over the 11 year period with a total annual rainfall of 2030.58 mm while 2015 was the year with the highest annual rainfall record of 3183.6 mm. The mean monthly Rainfall indicates that January has the lowest record of rainfall with a total of 36.9 mm while July is the month with highest value of 423.2 mm. Results further indicates that June has the lowest mean monthly temperature over the 11 year period of 20 ºC while March has the highest record of 29.6 ºC. Dominant temperature ranges between 26.1 oC and 26.8 ºC closely followed by 27.7–28.4 ºC which are quite close to the mean monthly values in the area. Analysis of rainfall data confirms an increasing trend.

scholarly journals A Comparison of Trends in Extreme Rainfall Using 20-Year Data in Three Major Cities in Oman

2016 ◽  
Vol 13 (2) ◽  
pp. 137 ◽  
Author(s):  
L.N. Gunawardhan ◽  
G.A. Al-Rawas
Keyword(s):  
Daily Precipitation ◽  
Extreme Rainfall ◽  
Climate Indices ◽  
Annual Maximum ◽  
Sultanate Of Oman ◽  
Precipitation Regime ◽  
Total Rainfall ◽  
Increasing Trend ◽  
Annual Total ◽  
Precipitation Records

 Many regions in the world have recently experienced more frequent and intensive disasters such as flash floods and persistent droughts. The Sultanate of Oman is no exception to this. We analyzed twodecade long daily precipitation records in three major cities, namely, Sohar, Muscat and Salalah, mainly focusing on extremes. A set of climate indices defined in the RClimDex software package was used. Moreover, annual maximum 1-day precipitations in three study areas were analyzed using the Generalized Extreme Value (GEV) distribution function.  Results showed significant changes in the precipitation regime in recent years. The annual total precipitation in Sohar and Salalah decreased, while that in Muscat shows statistically week increasing trend. However, all indices analyzed indicate enhanced extreme precipitation toward 2010 in Muscat and Salalah. As a result, the contribution from extreme events to the annual total rainfall steadily increases in both study areas. A clear conclusion could not be made based on selected indices for Sohar due to consistent drier years occurred from 1999 to 2005. Frequency analysis indicates that the annual the maximum 1-day rainfall estimated in Sohar and Muscat for 5 and 10 year return periods are approximately same (70 mm/day and 108 mm/day, respectively) but about two-fold greater than that in Salalah (29 mm/day and 60 mm/day, respectively). 

scholarly journals Spatio -Temporal Long-Term Variability and Trend Analysis of Precipitation and Temperature Series in the Ghataprabha (K3) Sub basin of Krishna Basin

2019 ◽  
Vol 8 (11) ◽  
pp. 2547-2552
Keyword(s):  
India Meteorological Department ◽  
Well Being ◽  
Annual Rainfall ◽  
Maximum Temperature ◽  
Study Region ◽  
Changing Climate ◽  
Increasing Trend ◽  
Precipitation And Temperature ◽  
Krishna Basin

Changing Climate is one of the most significant ecological issue, with the implications for agricultural production, water resource, energy and some other aspects of human well-being. Analysis of changing climate is important to assess climate-induced changes through the analysis of variability of climatic parameters such as temperature, precipitation, runoff and groundwater to suggest feasible adaptation strategies. This paper aims the long-term variability of rainfall and temperature using gridded daily data obtained from India Meteorological Department with 0.250 resolution from 1901-2016 for precipitation and 10 resolution from 1969-2005 for temperature (re-gridded to IMD 0.250 gridded location) in Ghataprabha sub basin (K3) of Krishna basin. The analysis of variability and trend in precipitation and temperature carried out by using coefficient of variation (CV), rainfall and temperature anomaly and also Mann-Kendall (MK) test was used to detect the time series trend. Statistical analysis of variability and trend in annual, Indian Summer Monsoon (ISMR) rainfall and temperature observed that i) there is an intra and inter annual variability of precipitation in the sub basin ii) test results revealed that the annual and ISMR trend appears to be increased by 0.12 & 0.14, iii) the Mann-Kendal trend test also analysed for annual minimum, mean and maximum temperature over the K3 sub basin (1969-2005) shows increasing trend by 0.06, 0.21 and 0.40. This analysis revealed that, there is an increasing trend in annual rainfall and temperature observed over the study region.

RELATIONSHIP BETWEEN PHENOLOGY, PRODUCTIVITY, AND METEOROLOGICAL FACTORS IN RECENT 15 YEARS IN THE PASTORAL AREA OF QINGHAI, CHINA

2019 ◽  
Vol 01 (01) ◽  
pp. 1950002
Author(s):  
XIN YE ◽  
XIAO-YUAN YANG ◽  
BING-RONG ZHOU ◽  
DANG-JUN WANG ◽  
HUA-KUN ZHOU ◽  
...  
Keyword(s):  
Meteorological Factors ◽  
Global Climate ◽  
Meteorological Data ◽  
Growing Season ◽  
Forage Yield ◽  
Observation Data ◽  
Vegetation Phenology ◽  
Climate Factors ◽  
Pastoral Area ◽  
Increasing Trend

Through studying vegetation phenology and its relation to meteorological factors in a representative region, we can get the responsiveness of vegetation phenophase in different sites to climate changes and how it affects vegetation productivity by the changes of growing season. It is crucial to enhance the accuracy of carbon sequestration estimate. We use phenological observation data and corresponding meteorological data from weather stations of six counties in Qinghai province. The conclusions are (1) In the background of global climate change, the temperature of the pastoral area of Qinghai takes a significantly increasing trend. The precipitation also takes an increasing trend, but only the site of Qumalai is significant. (2) The green-up dates of forages in every site are not significant, but the withered dates of forages are significantly put off. In the sites of Gande and Haiyan, the major forages put off in withered dates are Gramineae, in the site of Henan, Cyperaceae is significantly put off. Significantly extended growing season of representative forages of Gramineae, Cyperaceae and other broad-leaved herb exist in the pastoral area of Qinghai. (3) In terms of relations between green-up date and temperature, the influence of site scale is greater than the influence of different species, and advanced green-up dates of forages in the sites of Henan and Haiyan are longer than the dates of the same forages in the site of Gande. Overall, green-up dates of forages advanced in the site of Henan (Avg3.67 days/[Formula: see text]C) are longer than the dates in the site of Gande (Avg1.31 days/[Formula: see text]C). In terms of relations between green-up date and precipitation, divergences of sites and species exist. The green-up dates of forages in the sites of both Qumalai and Tongde have significant negative correlation with precipitation. In the site of Haiyan, the green-up dates of some forages advance, and the green-up dates of some forages put off. On the whole, Gramineae is best responded, then Cyperaceae and broad-leaved herb show hardly any responsiveness. (4) The responsiveness of temperature is less than precipitation in the pastoral area of Qinghai. Forages in Tongde and Qumalai have significantly positive correlation with the accumulation precipitation from August to September. The differences are the delayed dates of the withered dates of Cyperaceae (2.97 days/10[Formula: see text]mm) which are longer than the delayed dates of the withered dates of Gramineae (2.02 days/10[Formula: see text]mm) in the site of Qumalai. Conversely, the delayed dates of the withered dates of Gramineae (3.13 days/10[Formula: see text]mm) are longer than the delayed dates of the withered dates of Cyperaceae (1.68 days/10[Formula: see text]mm) in the site of Tongde. (5) Only parts of sites in the pastoral area of Qinghai have the tendency of significant increment of forage yield. The precipitations in the sites of Gande, Qumalai and Xinghai can significantly increase the forage yield. (6) The main vegetation phenology and productivity changes are affected by the drivers of climate factors. The response patterns of vegetation phenology of different functional groups and forage yield of different regions are inconsistent with the climate factors which are related to the biologic characteristics of different kinds of vegetations and climate sensitivities.

scholarly journals Time Series Analysis of Temperature and Rainfall Data of Dhaka Division

2017 ◽  
Vol 65 (2) ◽  
pp. 119-123
Author(s):  
Khadija Khatun ◽  
MA Samad ◽  
Md Bazlur Rashid
Keyword(s):  
Climatic Factors ◽  
Statistical Significance ◽  
Rainfall Data ◽  
Maximum Temperature ◽  
Total Rainfall ◽  
Annual Average ◽  
Mean Temperature ◽  
Average Maximum ◽  
Annual Total ◽  
Level Of Significance

In this paper, thirty five years’ (1981-2015) temperature and rainfall data have been studied to detect the recent trends in temperature and rainfall over Dhaka division of Bangladesh. Data of climatic factors such as annual average maximum temperature (MAXT), minimum temperature (MINT), mean temperature (MEANT), monsoon total rainfall (MTR) and annual total rainfall (ATR) have been analyzed. Sen’s non-parametric estimator of slope has been frequently used to estimate the magnitude of trend, whose statistical significance is assessed by the Mann–Kendall test. For this purpose, data from four meteorological stations (Dhaka, Mymensingh, Tangail and Faridpur) have been used. It is observed that annual average maximum, minimum and mean temperature of the study area are increasing at the rates 0.0170C/year, 0.0090C/year and 0.0130C/year respectively and the upward trend is statistically stable with 10% level of significance. On the other hand, monsoon total rainfall and annual total rainfall are decreasing at the rates of 4.94 mm/year and 16.11mm/year respectively where the downward trend of MTR is insignificant but the trend of ATR is significant with 10% level of significance. Dhaka Univ. J. Sci. 65(2): 119-123, 2017 (July)

scholarly journals Analysis of Temperature and Precipitation Trends Observed at Some Selected Districts of Punjab, Pakistan

2020 ◽  
Vol 10 (4) ◽  
pp. 51-58
Author(s):  
Safdar Ali Shirazi ◽  
Anum Liaqut ◽  
Khadija Shakrullah
Keyword(s):  
Daily Basis ◽  
Total Rainfall ◽  
Temperature And Precipitation ◽  
Increasing Trend ◽  
Annual Total ◽  
Precipitation Indices ◽  
Weather Stations ◽  
Warm Spell ◽  
Extreme Daily Temperature ◽  
Yearly Data

Present study examines the trends of extreme daily temperature and rainfall indices in some selectedmeteorological stations/districts of the Punjab. Due to paucity of data only six weather stations were selected from thewhole Punjab, having data of 33 years for temperature and precipitation on daily basis. A set of 14 indices(recommended by climate ET) were used to calculate the trends over a period of 32 years (1985–2017) by usingRClimDex (1.0) software package. These results showed that the number of tropical nights (TR20) and warm nights(TN90p) has been increasing in selected weather stations/districts and number for cool nights (TN10p) has been falling.Other temperature related indices trends such as, summer days, warms days, warm spell duration indicator (WSDI) andcool spell duration (CSDI) shows a mix pattern. The precipitation indices like SDII, RX1day, R10mm and PRCPTOTshowed an increasing trend in some selected stations. Most of the trends were not significant at level of 0.05 % whilemaximum day temperature increase has been observed at five out of six selected stations. Similarly, an average increasein precipitation in the vicinity of 3 mm per decade has been noted. The annual total rainfall and number of heavyrainfall days has also increased by 18 mm and 8.4 mm respectively during each decade. The analysis identified andhighlighted a slight change which was not temporally and spatially rational. However, there is need to more andadequate yearly data of different weather stations across the Punjab to identify the ongoing apparent and impeccablechanges in climate of the Punjab province.

scholarly journals Temporal Analysis of Daily and 10 Minutes of Rainfall of Poprad Station in Eastern Slovakia

Hydrology ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. 32 ◽  
Author(s):  
Adam Repel ◽  
Vinayakam Jothiprakash ◽  
Martina Zeleňáková ◽  
Helena Hlavatá ◽  
Ionut Minea
Keyword(s):  
Temporal Analysis ◽  
Descriptive Statistics ◽  
Annual Rainfall ◽  
Time Step ◽  
Total Rainfall ◽  
Maximum Rainfall ◽  
Daily Data ◽  
Increasing Trend ◽  
Daily Time Step ◽  
Daily Time

The aim of this paper is the application of temporal analysis of daily and 10 min of rainfall data from Poprad station, located in Eastern Slovakia. There are two types of data used in the analysis, firstly, a daily time step data, manually collected between the years 1951 and 2018 and secondly, 10 min of data, automatically collected between the years 2000 and 2018. For proper comparability, the automatically collected data has been recalculated to the daily form. After a comparison of the sets of data, manually collected daily data has been used in further analysis. The main analysis can be divided into two sections. The first section consists of basic statistics (mean, standard deviation, etc.) and the second section of descriptive statistics, where the subjects of examination were trend, stationarity, homogeneity, periodicity and noise. The results of the basic statistics outlined trend behavior in the data meaning that the annual total rainfall for the period 1951–2018 is slightly increasing but the further investigation supported by the methods of descriptive statistics refuted this thesis. The number of rainy days is decreasing but maximum rainfall intensity is increasing year by year, indicating that total rainfall is happening in lesser and lesser days, with an increase in the number of 0 rainfall days. The results demonstrated no presence of the trend or only a weak trend in daily time step, but a significant increasing trend in annual rainfall. Tests of stationarity proved that the data are stationary and, therefore, suitable for any hydrologic analysis. The tests of homogeneity showed no breakpoints in the data. The interesting result was demonstrated by the periodicity test, which showed exactly a 365.25 days’ period, while 0.25 indicates a leap year. As a summary for the Poprad station, there is no tendency of increasing of daily average rainfall, but slight increasing trend of total annual rainfall, the summer season has the highest ratio on total precipitation per year, September and October are the months with the highest numbers of days without rain.

scholarly journals Analysis of the Recent Trends of Two Climate Parameters over Two Eco-Regions of Ethiopia

Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 161 ◽  
Author(s):  
Mohammed Gedefaw ◽  
Denghua Yan ◽  
Hao Wang ◽  
Tianling Qin ◽  
Kun Wang
Keyword(s):  
Meteorological Data ◽  
Decision Makers ◽  
Trend Detection ◽  
Bahir Dar ◽  
Temperature Changes ◽  
Temperature Trends ◽  
Increasing Trend ◽  
Recent Trends ◽  
Slope Estimator ◽  
Precipitation And Temperature

The changes in climatic variables in Ethiopia are not entirely understood. This paper investigated the recent trends of precipitation and temperature on two eco-regions of Ethiopia. This study used the observed historical meteorological data from 1980 to 2016 to analyze the trends. Trend detection was done by using the non-parametric Mann-Kendall (MK), Sen’s slope estimator test, and Innovative Trend Analysis Method (ITAM). The results showed that a significant increasing trend was observed in the Gondar, Bahir Dar, Gewane, Dembi-Dolo, and Negele stations. However, a slightly decreasing trend was observed in the Sekoru, Degahabur, and Maichew stations regarding precipitation trends. As far as the trend of temperature was concerned, an increasing trend was detected in the Gondar, Bahir Dar, Gewane, Degahabur, Negele, Dembi-Dolo, and Maichew stations. However, the temperature trend in Sekoru station showed a sharp decreasing trend. The effects of precipitation and temperature changes on water resources are significant after 1998. The consistency in the precipitation and temperature trends over the two eco-regions confirms the robustness of the changes. The findings of this study will serve as a reference for climate researchers, policy and decision makers.

scholarly journals Analysis of Temperature and Precipitation Trends Observed at Some Selected Districts of Punjab, Pakistan

2020 ◽  
Vol 10 (4) ◽  
pp. 51-58
Author(s):  
Safdar Ali Shirazi ◽  
Anum Liaqut ◽  
Khadija Shakrullah
Keyword(s):  
Daily Basis ◽  
Total Rainfall ◽  
Temperature And Precipitation ◽  
Increasing Trend ◽  
Annual Total ◽  
Precipitation Indices ◽  
Weather Stations ◽  
Warm Spell ◽  
Extreme Daily Temperature ◽  
Yearly Data

Present study examines the trends of extreme daily temperature and rainfall indices in some selectedmeteorological stations/districts of the Punjab. Due to paucity of data only six weather stations were selected from thewhole Punjab, having data of 33 years for temperature and precipitation on daily basis. A set of 14 indices(recommended by climate ET) were used to calculate the trends over a period of 32 years (1985–2017) by usingRClimDex (1.0) software package. These results showed that the number of tropical nights (TR20) and warm nights(TN90p) has been increasing in selected weather stations/districts and number for cool nights (TN10p) has been falling.Other temperature related indices trends such as, summer days, warms days, warm spell duration indicator (WSDI) andcool spell duration (CSDI) shows a mix pattern. The precipitation indices like SDII, RX1day, R10mm and PRCPTOTshowed an increasing trend in some selected stations. Most of the trends were not significant at level of 0.05 % whilemaximum day temperature increase has been observed at five out of six selected stations. Similarly, an average increasein precipitation in the vicinity of 3 mm per decade has been noted. The annual total rainfall and number of heavyrainfall days has also increased by 18 mm and 8.4 mm respectively during each decade. The analysis identified andhighlighted a slight change which was not temporally and spatially rational. However, there is need to more andadequate yearly data of different weather stations across the Punjab to identify the ongoing apparent and impeccablechanges in climate of the Punjab province.

scholarly journals Rain Erosion Maps for Wind Turbines Based on Geographical Locations: A Case Study in Ireland and Britain

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
K. Pugh ◽  
M. M. Stack
Keyword(s):  
Wind Turbine ◽  
Western Europe ◽  
Meteorological Data ◽  
Turbine Blades ◽  
Weather Conditions ◽  
Annual Rainfall ◽  
Wind Turbine Blades ◽  
Weather Patterns ◽  
The Uk

AbstractErosion rates of wind turbine blades are not constant, and they depend on many external factors including meteorological differences relating to global weather patterns. In order to track the degradation of the turbine blades, it is important to analyse the distribution and change in weather conditions across the country. This case study addresses rainfall in Western Europe using the UK and Ireland data to create a relationship between the erosion rate of wind turbine blades and rainfall for both countries. In order to match the appropriate erosion data to the meteorological data, 2 months of the annual rainfall were chosen, and the differences were analysed. The month of highest rain, January and month of least rain, May were selected for the study. The two variables were then combined with other data including hailstorm events and locations of wind turbine farms to create a general overview of erosion with relation to wind turbine blades.

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