IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.6081

Raju Kalita, Dipangkar Kalita, Atul K. Saxena

{"title":"Future projections of precipitation and temperature extremes at Sohra (Cherrapunji) using Statistical Downscaling Model","authors":"Raju Kalita, Dipangkar Kalita, Atul K. Saxena","doi":"10.54302/mausam.v75i1.6081","DOIUrl":"https://doi.org/10.54302/mausam.v75i1.6081","url":null,"abstract":"The Statistical Downscaling Model (SDSM 4.2) is used to project the future precipitation and maximum and minimum temperatures at Sohra, one of the extreme places on earth, using the predictors of the Second-Generation Canadian Earth System Model (CanESM2). The SDSM was calibrated with daily precipitation and temperature data from 1979 to 2005 and validated from 2006 to 2020. Future scenarios generated under the three Representative Concentration Pathways (RCP) 2.6, 4.5 and 8.5 are divided into three future periods, Near Future (2021-2040), Mid Future (2041-2071), and Far Future (2071-2100). It is found that the precipitation and maximum/minimum temperature at Sohra are influenced mainly by the major global predictors; specific humidity at 850 hPa height (s850) and mean temperature at 2 m (temp)/near surface specific humidity (shum), respectively. The downscaled result reveals an increase in Monsoon precipitation in the range of 266-1543 mm under various RCPs compared with the base periods 1985-2005 during the Near Future and 1979-2008 during the Mid and Far Future. Also, annual maximum and minimum temperature increases in the range of 1-2.8 °C and 1.2-3.6 °C for all RCPs in the future.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"117 12","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139133102","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

Exploring extreme flood events of a western state of India during monsoon season of 2019 from space 从太空探索 2019 年季风季节印度西部一个邦的极端洪水事件

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.3568

ANOOP KUMAR MISHRA, Mohammad Suhail Meera, V. Nagaraju

{"title":"Exploring extreme flood events of a western state of India during monsoon season of 2019 from space","authors":"ANOOP KUMAR MISHRA, Mohammad Suhail Meera, V. Nagaraju","doi":"10.54302/mausam.v75i1.3568","DOIUrl":"https://doi.org/10.54302/mausam.v75i1.3568","url":null,"abstract":"Maharashtra experienced a series of calamitous flood events during July and September months of monsoon season of 2019 affecting millions of people. Mumbai, Palghar, Thane, Raigad, Satara, Sangli, Pune and Kolhapaur were most affected districts of Maharashtra. Near real time satellite observations from space have been used in this study to monitor these events. Availability of accurate precipitation information at very fine resolution of 5 km (half hourly) from a rainfall model that integrates observations from multi-spectral satellite sensors offers an excellent opportunity to monitor flood events effectively. Utility of this model was tested by investigating flood events of Kedarnath in 2013, Jammu and Kashmir in 2014 and Tamil Nadu in 2015. This model was also used to explore recent flood events of Kerala and Assam in 2019. Mumbai, Palghar, Thane, Raigad, Satara, Sangli, Pune and Kolhapaur districts received very heavy rainfall from multiple rain episodes during first, third and last week of July, and second and last week of September that resulted in heavy flooding over these districts. Results reveal that few of these districts received cumulative rainfall in excess of 2000 mm from multiple heavy rainy events during July to September. Mumbai, Palghar, Thane and Raigad received a cumulative rainfall in excess of 1700 mm during July and September. Sangali district received an excess of about 200% rainfall than average monthly rain during July 2019. Heavy cumulative rainfall from multiple rain spells resulted in heavy flooding over various districts of Maharashtra. Results reported in this study highlight the importance of mitigation and adaptation strategies against flood disasters.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"119 2","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139133308","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

RECENT ADVANCES IN SOCIAL WEATHER, COMMON ALERT PROTOCOL AND DISSEMINATION SERVICES THROUGH APIS IN INDIA METEOROLOGICAL DEPARTMENT 印度气象部门在社会气象、共同警报协议和通过应用程序提供传播服务方面的最新进展

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.6146

S. Chug, S. Nath

引用次数: 0

An analysis of fog events in respect of winter season 2021-2022 using model reanalysis & INSAT-3D/3DR satellite data 利用再分析模型和 INSAT-3D/3DR 卫星数据分析 2021-2022 年冬季的大雾事件

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.5916

Nishtha Sehgal, Tanvi Malhan, R. K. Giri, Ramashray Yadav, Yogesh Kumar, Laxmi Pathak, आवद्कता हस।

{"title":"An analysis of fog events in respect of winter season 2021-2022 using model reanalysis & INSAT-3D/3DR satellite data","authors":"Nishtha Sehgal, Tanvi Malhan, R. K. Giri, Ramashray Yadav, Yogesh Kumar, Laxmi Pathak, आवद्कता हस।","doi":"10.54302/mausam.v75i1.5916","DOIUrl":"https://doi.org/10.54302/mausam.v75i1.5916","url":null,"abstract":"The objective of the study was twofold (i) Review of INSAT-3D/3DR night time fog detection channel differencing (MIR- TIR1) scheme developed by Space Application Centre (SAC) Indian Space Research Centre (ISRO) thresholds which were not uniform for winter season radiation fog and vary geographically over Indian domain & (ii) An analysis of Fog events of 2021-2022 winter season analysis using the anomalies (temperature, wind, moisture, inversion, geo-potential height etc) from NCEP reanalysis and ERA-5 data sets. This study is a way forward to look into the importance of recently introduced model reanalysis data sets to monitor and understand the recent changes of fog events behaviour. It is seen that the fog events winter season (2021-2022) was reduced appreciably and this change is really a concern but 2021-22 winter fog occurrences were very well captured in both models as well as INSAT-3D/3DR data analysis. The results brought out from the model as well as satellite data analysis were found to be very useful for forecasters and end users especially in monitoring and prediction of fog events. However, to quantify the night time fog thresholds based on INSAT data for different regions of India and appreciable reduction of fog events in the recent past needs long term data sets study.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"112 19","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139133217","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

Momentum budget analysis of maintenance of Arabian Sea tropical cyclone Ockhi 阿拉伯海热带气旋 "奥基 "的维持动量预算分析

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.5374

J. P S

{"title":"Momentum budget analysis of maintenance of Arabian Sea tropical cyclone Ockhi","authors":"J. P S","doi":"10.54302/mausam.v75i1.5374","DOIUrl":"https://doi.org/10.54302/mausam.v75i1.5374","url":null,"abstract":"In this study an effort is done to explain the maintenance of the Very Severe Cyclonic Storm(VSCS) Ockhi using the angular momentum(AM) budget technique . The AM budget equation for a region bounded by , to and to in (x,y,p,t) co-ordinate system is used from an earlier study. The different terms are explained with relative importance. This technique is used to the diagnosis of different small, medium and large weather systems by several authors. The Very Severe Cyclonic Storm(VSCS) Ockhi –a rare situation in Arabian Sea – is studied with a reanalyzed dataset in a fine mesh width. The values of different terms in the AM budget equation are calculated for pressure levels-1000,800,500,200,100hpa’s and for four day periods viz. 30 Nov ,01 Dec ,02 Dec and 03 Dec 2017 .The AM budget was prepared for the eight observation time periods of 00, 03,06,09,12,15,18,21 UTC for each day. The area selected is 5.04N - 19.2N, 60E- 77E where VSCS TC Ockhi formed.The sink and source terms are compared and the results are correlated with the help of charts . The NCMRWF IMDAA data set is used and the results are depicted in charts and results are compared with the observed synoptic behavior of the system . Keywords: - Angular Momentum Budget, Equation, Source/Sink terms, VSCS Ockhi-Diagnosis","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":"112 36","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139134452","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

A satellite bioclimatology of Baluchistan in Southwestern Asia 西南亚俾路支斯坦的卫星生物气候学

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.3573

Peyman Mahmoudi, S. A. Shirazi, Seyed Mahdi Amir Jahanshahi, F. Firoozi, N. Mazhar

{"title":"A satellite bioclimatology of Baluchistan in Southwestern Asia","authors":"Peyman Mahmoudi, S. A. Shirazi, Seyed Mahdi Amir Jahanshahi, F. Firoozi, N. Mazhar","doi":"10.54302/mausam.v75i1.3573","DOIUrl":"https://doi.org/10.54302/mausam.v75i1.3573","url":null,"abstract":".The present study aimed at investigating the relationship between two variables of temperature and precipitation with vegetation dynamics in one of the arid and semi-arid regions of the world, i.e. Baluchistan in Southwestern Asia, which is shared by the three countries of Iran, Pakistan and Afghanistan. In order to achieve the objectives, two different databases were used: 1. MODIS NDVI 16-day composite products (MOD13A3) of Terra satellite, with 1*1 km spatial resolution, which was obtained for a 17-year period (2000-2016) from the Earth Observing System (EOS) Data Gateway of the National Aeronautics and Space Administration (NASA); 2. Gridded monthly temperature and precipitation data was obtained for the same 17-year period from the Climate Research Unit (CRU) of the University of East Anglia. The Pearson product-moment correlation coefficient was also used to examine the relationship between vegetation dynamics and two climate variables of temperature and precipitation simultaneously as well as in three time lags i.e.; one month, two months and three months. The results of the analysis of a correlation between the mean temperature and monthly NDVI in different time lags indicated that in the humid and semi-humid regions in the northern half of Baluchistan, NDVI simultaneously reacted to temperature variations, while in the arid and semi-arid regions in the southern half of Baluchistan, NDVI had a one-month time lag with temperature. However, the results of the analysis of a correlation between precipitation and monthly NDVI in different time lags indicated that NDVI simultaneously reacted to precipitation variations, that is precipitation of each month had the greatest effect on the NDVI of the same month.","PeriodicalId":18363,"journal":{"name":"MAUSAM","volume":" 714","pages":""},"PeriodicalIF":0.6,"publicationDate":"2023-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139136503","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

MAPPING OF DROUGHT RISK AREAS IN AGRICULTURAL LANDS IN THE CHICHAOUA BASIN - MOROCCO NORTH AFRICA-USING TEMPERATURE INDEX (TCI) 利用温度指数（TCI）绘制摩洛哥北非 Chichaoua 盆地农田干旱风险区域图

IF 0.6 4区地球科学

MAUSAM Pub Date : 2023-12-31 DOI: 10.54302/mausam.v75i1.5595

Fathallah Fatima Ezzahra, Algouti Ahmed, A. Abdellah

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

Seasonal characterization of aerosols over high altitude location of southern India, Ooty, Tamilnadu 印度南部泰米尔纳德邦奥蒂高空气溶胶的季节特征

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

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

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