IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.5960

R. Jayabalakrishnan, G. Sivasankaran, M. Maheswari, R. Kumaraperumal, C. Poornachandra

{"title":"Seasonal characterization of aerosols over high altitude location of southern India, Ooty, Tamilnadu","authors":"R. Jayabalakrishnan, G. Sivasankaran, M. Maheswari, R. Kumaraperumal, C. Poornachandra","doi":"10.54302/mausam.v75i1.5960","DOIUrl":"https://doi.org/10.54302/mausam.v75i1.5960","url":null,"abstract":"Climate change has been worsened by aerosols which got a significant place in the scientific research to understand climate change dynamics. Hence, the optical properties of the aerosols play an important role in the earth’s energy radiation budget. The Aerosol Optical Depth was measured at high altitude region in Ooty from December 2020 to May 2021. The spectral, monthly and diurnal variation of AOD were assessed and showed their seasonal variability. The mean AOD value at 500 nm was higher during the Summer season (0.625±0.323) than in the Winter season (0.213±0.006). The Black Carbon (BC) was measured using an Aethalo meter from December 2020 to September 2021. The average season wise concentrations of BC were 0.680±0.206µg m-3, 1.128±0.393 µg m-3 and 0.189±0.06 µg m-3 for the Winter, Summer and Monsoon seasons, respectively. The sources of BC mass concentration were apportioned based on fossil fuel (BCff) and biomass burning (BCbb). The fossil fuel based contribution was higher than the biomass based contribution to the total BC concentration. The comparative study of BC concentration with the AOD, it was projected that the AOD had increased in line with surging BC concentration up to April, 2021. The ground-based daily AOD measurements were compared with the MODIS retrieved AOD. The MODIS retrieved AOD was positively correlated with the ground measured AOD during the Winter and Summer seasons. The HYSPLIT trajectory presented the pathways of the source from the long range regions. The Winter season trajectory was attributed to the North-easterly and easterly winds and the Summer season was attributed to the North-westerly and westerly winds that exhibited the long-range transport of aerosols from the neighbouring cities. The meteorological parameters significantly affected the loading of aerosols during all the seasons, denoting that they were supposed to the local prevailing meteorological conditions.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"125 14","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139134747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HEAT WAVE ANALYSIS FOR THE REGION OF PUDUCHERRY AND KARAIKAL IN THE U.T. OF PUDUCHERRY 普都切里大学普都切里和卡拉卡尔地区的热浪分析

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.299

Balaji Thirugnanasambandam, Kalamegam Kaliyaperumal, Sagaya Alfred Raymond

引用次数: 0

The influence variability of weather condition on predicting rain events in surrounding Jakarta 天气条件的变化对预测雅加达周边地区降雨事件的影响

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.834

Giar No, Muna War, Ervan Ferdiansyah, Fendy Arifianto, A. Pratiwi, Silvia Yulianti

{"title":"The influence variability of weather condition on predicting rain events in surrounding Jakarta","authors":"Giar No, Muna War, Ervan Ferdiansyah, Fendy Arifianto, A. Pratiwi, Silvia Yulianti","doi":"10.54302/mausam.v75i1.834","DOIUrl":"https://doi.org/10.54302/mausam.v75i1.834","url":null,"abstract":"The metropolis Jakarta is a place where floods often occur which are detrimental to both property and life. Weather forecast information released by Meteorology, Climatology, and Geophysical Agency (BMKG) has very important in anticipating this disaster. Hence, it is important to pay attention to the weather forecast accuracy. The purpose of this study was to examine the effect of variations accuracy in rain events of the Jakarta area includes Central Jakarta, East Jakarta, West Jakarta, North Jakarta, South Jakarta, Bekasi, Tangerang, Depok, and Bogor as known Jabotabek. School of Meteorology Climatology and Geophysics or STMKG Weather Care developed voluntary observations of weather conditions especially rain events. Respondents filled out the form whether there was rain in the location where they lived and would be evaluated using the dichotomous method. This study shows the accuracy of rain prediction in the Jabotabek area of 66.8%, with prediction failures generally is an overestimation. The highest number of correct predictions occurred when the location was not raining. Moreover, the best accuracy is in Bekasi City and South Jakarta and West Jakarta is the worst. The evaluation confirms that it is not easy to predict rain events in a detailed location and the prediction terms used.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"4 9","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139135536","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Importance of PAR interception and radiation use efficiency on growth and yield of Potatoes under different microclimates in the upper Brahmaputra valley zone of Assam 阿萨姆邦布拉马普特拉河流域上游地区不同小气候条件下 PAR 截获量和辐射利用效率对马铃薯生长和产量的影响

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.3892

Raktim Jyoti Saikia, P. Neog, R. L. Deka, K. Medhi

{"title":"Importance of PAR interception and radiation use efficiency on growth and yield of Potatoes under different microclimates in the upper Brahmaputra valley zone of Assam","authors":"Raktim Jyoti Saikia, P. Neog, R. L. Deka, K. Medhi","doi":"10.54302/mausam.v75i1.3892","DOIUrl":"https://doi.org/10.54302/mausam.v75i1.3892","url":null,"abstract":"A field experiment was conducted at Assam Agricultural University, Jorhat, Assam during rabi 2018-19 for assessing the PAR interception and radiation use efficiency in potato variety Kufri Jyoti under different microclimates, which was planted in split plot design with 4 dates of plantings and three mulching treatments with water hyacinth, black polythene and without mulching. The incident, reflected and transmitted PAR were measured periodically over the crop with line quantum sensor and daily incident radiation were calculated from incident PAR and bright sunshine hours. The interception of PAR (iPAR) varied considerably among different treatments, while highest iPAR was recorded under first date of planting and mulching treatment with water hyacinth. The leaf area index (LAI) and biomass production was highest in crop planted in first date planting and grown under water hyacinth mulch. The RUE for tuber yield was highest under water hyacinth (2.35 g MJ-1) followed by black polythene (2.03 g MJ-1) and non-mulched (1.67 g MJ-1) condition, while among planting dates it was highest in case of first date of planting. The LAI, biomass production and yield of potato were found to be significantly correlated with iPAR and RUE. The predictive models were developed by using stepwise regression method to predict tuber yield from iPAR and REU, which have R2 value of 0.96 and 0.99, respectively.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"78 24","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139130530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

STUDY ON STATISTICAL DISTRIBUTION OF MONTHLY RAINFALL IN PUNJAB, INDIA 印度邦贾巴邦月降雨量统计分布研究

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.6016

T. S. Bajirao, D. Madane

引用次数: 0

Climate and its variability over Tarai region of Uttarakhand 北阿坎德邦塔赖地区的气候及其变异性

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.5015

Shubhika Goel, Jaya Dhami, S. R K

引用次数: 0

Homogenizing Monthly Rainfall and Temperature Data Series in Maharashtra & Goa 马哈拉施特拉邦和果阿邦月降雨量和温度数据序列的同质化

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.5886

Nilesh Wagh, P. Guhathakurta

{"title":"Homogenizing Monthly Rainfall and Temperature Data Series in Maharashtra & Goa","authors":"Nilesh Wagh, P. Guhathakurta","doi":"10.54302/mausam.v75i1.5886","DOIUrl":"https://doi.org/10.54302/mausam.v75i1.5886","url":null,"abstract":"Annual rainfall and temperature data series of all climate stations in Maharashtra & Goa are statistically tested for data homogeneity. To inspect homogeneity of a station, a two-step approach is followed. First, four homogeneity tests Standard normal homogeneity test, Pettit’s test, Buishand’s range test and Von Neumann ration test at 5% level of significance are used to determine test hypothesis for homogeneity on testing parameters of annual rainfall and temperature. Second, results from all these four tests aggregated together into three different classes as ‘useful’, ‘doubtful’ and ‘suspect’. Here 30 rainfall, 29 maximum and minimum temperature climate stations were tested. The results showed 80% stations as ‘useful’, 7% as ‘suspect’ and 13% as ‘doubtful’ for rainfall, for maximum temperature series these results are 17% as ‘useful’, 7% as ‘suspect’ and 76% as ‘doubtful’, while for minimum temperature series these results are 21% as ‘useful’, 10% as ‘suspect’ and 69% as ‘doubtful’. Further, in this study an attempt is also made to correct the monthly rainfall and temperature data series for homogeneity. Stations categorised as ‘useful’ are used as reference series to remove inhomogeneities from ‘suspect’ and ‘doubtful’ stations. To correct rainfall series ratio’s method is used while for temperature series addition method is used. Correction results showed significant improvement in ‘suspect’ category stations. After correction of inhomogeneous series, the results shows all 100% of rainfall stations and more than 65% of temperature stations are now in ‘useful’ category. The corrected stations may be included in further climate research studies.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"120 38","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139134064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stochastic modelling and forecasting of relative humidity and wind speed for different zones of Kerala 喀拉拉邦不同地区相对湿度和风速的随机模拟与预报

4区地球科学

MAUSAM Pub Date : 2023-10-01 DOI: 10.54302/mausam.v74i4.5603

GOKUL KRISHNAN B., VISHAL MEHTA, V. N. RAI

{"title":"Stochastic modelling and forecasting of relative humidity and wind speed for different zones of Kerala","authors":"GOKUL KRISHNAN B., VISHAL MEHTA, V. N. RAI","doi":"10.54302/mausam.v74i4.5603","DOIUrl":"https://doi.org/10.54302/mausam.v74i4.5603","url":null,"abstract":"The variations in climatic conditions depend on seasonal changes throughout the year. Modelling and prediction of climatic conditions can help to determine the impacts of seasonal changes in climate over a specific period of time. Climate change can directly and indirectly affect agricultural, industrial, geographical and technological sectors in our society. Agriculture and the allied sector are seriously affected by changes in climate since it leads to complete destruction of cultivated crops. In this study, in order to model and forecast relative humidity and wind speed for northern, central and southern zones of Kerala, stochastic approach using SARIMA (Seasonal Autoregressive Integrated Moving Average) model was employed. The monthly weather data for the northern zone and the central zone of Kerala was taken from the location of RARS Pilicode and RARS Pattambi for a period of 39 years (1982-2020) whereas for southern zone, data was collected from the location of RARS, Vellayani for a period of 36 years (1985-2020) with the help of data access viewer. The model validation was done using MSE (mean square error), RMSE (root mean square error), MAE (mean absolute error) and RMAPE (relative mean absolute percentage error). The RMAPE values of relative humidity and wind speed in different zones of Kerala was less than 10 per cent which indicated that fitted model is showing accurate performance. The best selected SARIMA model is used in attaining anticipated values of relative humidity and wind speed for the next 5 years.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134934172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

New method of precipitation forecast model and validation 降水预报模型的新方法及验证

4区地球科学

MAUSAM Pub Date : 2023-10-01 DOI: 10.54302/mausam.v74i4.4359

KUMARASWAMY KANDUKURI, BHATRACHARYULU N. CH.

{"title":"New method of precipitation forecast model and validation","authors":"KUMARASWAMY KANDUKURI, BHATRACHARYULU N. CH.","doi":"10.54302/mausam.v74i4.4359","DOIUrl":"https://doi.org/10.54302/mausam.v74i4.4359","url":null,"abstract":"There is a lot of time series data in many realistic sectors with different forecast techniques over the years. However there is no unanimous conclusion on forecast techniques such as individual forecasts Autoregressive, Moving averages, Autoregressive Moving average, Autoregressive Integrated Moving average, Artificial Neural Network, Long Short Term Memory network and Auto-Regressive Conditional Heteroscedasticity / Generalized Autoregressive Conditional Heteroskedasticity and combination of forecast (simple Average of forecasts, Minimum variance method, and Regression method of the combine). The most empirical hydrological time series models do not accurately forecast the weather. This paper focuses on a comparative study of different existing individual and combination forecasts with the proposed Hybrid Stochastic Model (HSM) forecast procedure. For this we consider a hydrological time series data of the Indian subcontinent to test the proposed forecast model. As a whole in comparison to all other traditional model's contributions accuracy, the proposed model performed well, and also we examined the model's dimension reduction approach to choose an optimum number of forecast techniques to be included in the model to yield the best forecasts.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134934396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Convective weather event monitoring with multispectral image analysis of INSAT-3D/3DR over Indian domain 基于INSAT-3D/3DR多光谱图像分析的印度地区对流天气事件监测

4区地球科学

MAUSAM Pub Date : 2023-10-01 DOI: 10.54302/mausam.v74i4.6176

C. S. TOMAR, RAJIV BHATLA, V. K. SONI, R. K. GIRI

{"title":"Convective weather event monitoring with multispectral image analysis of INSAT-3D/3DR over Indian domain","authors":"C. S. TOMAR, RAJIV BHATLA, V. K. SONI, R. K. GIRI","doi":"10.54302/mausam.v74i4.6176","DOIUrl":"https://doi.org/10.54302/mausam.v74i4.6176","url":null,"abstract":"Pre-monsoon season (March to May) is very challenging as convective activities prevails almost throughout the country. Most of the Rabi crops harvesting affected and sometimes suffer great losses due to sudden rain or high winds. INSAT-3D/3DR satellite images and derived products provides continuous support to the forecasters and end users in monitoring such events and thereafter significant value addition improves the prediction. This information was found to be very useful where actual ground based or upper air observations are limited or especially over data sparse or difficult terrain regions. In this work, we have examined three weather events at different Geographical locations (i) Rainfall over Bihar-24-26 June, 2020 (ii) Delhi & NCR region on 17 June, 2022 (iii) NE region activity in 16-18 June, 2022. The Real Time Analysis of Products and Information Dissemination (RAPID) web based tool was utilized in monitoring and diagnosing the convective weather events based on the brightness temperature & derived products like Outgoing longwave radiation, upper tropospheric humidity, insolation etc & RGB imagery composite in terms of day & night time microphysics daily operational products. The time series of the wind derived products for Delhi NCR rainfall and NE rainfall products also generated through RAPID. The synoptic model analysis provides valuable inputs for these mesoscale convective weather events. The southerly wind flow (at 925 hPa) and velocity convergence (at 500 hPa) analysis of European Centre for Medium Range Weather Forecasting (ECMWF) supports the severity of NE event occurred on 16-18 June, 2022. Therefore, utilization of near real time INSAT-3D/3DR products along with appropriate synoptic model analysis can help the forecasters to understand better about such mesoscale convective events & accurate forecast with sufficient lead time can save the life and property.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134934951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

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