Mausam

Scope & Guideline

Elevating Meteorological Research Since 1979

Introduction

Delve into the academic richness of Mausam with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN0252-9416
PublisherINDIA METEOROLOGICAL DEPT
Support Open AccessNo
CountryIndia
TypeJournal
Converge1979, 1981, 1983, 1985, from 2008 to 2024
AbbreviationMAUSAM / Mausam
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressMAUSAM BHAWAN, LODI RD, NEW DELHI 110 003, INDIA

Aims and Scopes

The journal 'Mausam' primarily focuses on meteorological and climatological research, encompassing a wide range of topics related to weather forecasting, climate variability, and their impacts on agriculture and natural disasters. Its methodologies often include statistical modeling, remote sensing, and machine learning techniques, reflecting a commitment to integrating modern technology with traditional meteorological practices.
  1. Meteorological Research and Forecasting:
    The journal emphasizes the analysis and prediction of weather patterns using various models, including numerical weather prediction and machine learning approaches.
  2. Climate Change and Variability Studies:
    Research on climate change impacts, including temperature and precipitation trends, and their effects on agriculture, ecosystems, and water resources is a core focus.
  3. Remote Sensing Applications:
    Utilization of satellite data for weather monitoring, rainfall estimation, and land surface temperature analysis is a significant methodological approach.
  4. Agricultural Meteorology:
    The journal publishes studies that assess the impact of weather and climate on crop yields, irrigation scheduling, and agro-advisory services.
  5. Natural Disaster Analysis:
    Research on the dynamics of extreme weather events such as cyclones, floods, and droughts, including their forecasting and risk assessment, is prominently featured.
  6. Statistical Methods and Modeling:
    The application of statistical techniques for analyzing weather data, including trend analysis and probability distributions, is a key area of research.
  7. Environmental and Public Health Impacts:
    Studies on air quality, pollution, and their links to meteorological conditions reflect a growing interest in the intersection of climate science and public health.
Recent publications in 'Mausam' have highlighted several emerging themes that reflect current trends in meteorological research. These themes indicate a shift towards more integrated and technology-driven approaches to understanding weather and climate phenomena.
  1. Machine Learning in Weather Prediction:
    There is a growing trend of utilizing machine learning algorithms for weather forecasting and rainfall prediction, showcasing the journal's embrace of cutting-edge technology.
  2. Impact of Climate Change on Agriculture:
    Research focusing on how climate change affects agricultural productivity is becoming increasingly prominent, reflecting the urgent need to address food security in a changing climate.
  3. Integration of Remote Sensing and GIS:
    The incorporation of remote sensing data and Geographic Information Systems (GIS) in studies related to weather and climate is on the rise, facilitating more comprehensive analyses.
  4. Extreme Weather Events and Disaster Risk Management:
    The frequency of studies addressing extreme weather events and their socio-economic impacts indicates a heightened awareness of disaster preparedness and resilience.
  5. Air Quality and Meteorological Interactions:
    Emerging studies linking air quality with meteorological factors highlight an increasing focus on environmental health and public policy implications.
  6. Hydrological Modeling and Water Resource Management:
    Research in hydrological modeling, particularly in the context of climate variability and its effects on water resources, is gaining traction, indicating a broader environmental focus.
  7. Urban Meteorology and Climate Adaptation:
    The exploration of urban meteorology, including the effects of climate change on urban areas and adaptation strategies, is an emerging theme reflecting global urbanization challenges.

Declining or Waning

While 'Mausam' continues to address a broad range of meteorological topics, some areas of research have shown signs of declining prominence in recent publications. This may reflect shifting priorities within the field or a transition towards more emergent themes.
  1. Traditional Weather Observation Techniques:
    The reliance on conventional weather observation methods seems to be diminishing as newer technologies and models gain traction, leading to fewer studies focusing solely on these methods.
  2. Historical Climate Reconstructions:
    There appears to be a waning interest in purely historical climate reconstructions, with more emphasis now placed on real-time data analysis and predictive modeling.
  3. Geographic Specificity:
    Research that is narrowly focused on specific geographic regions without broader implications or applications is becoming less frequent, as there is a trend towards studies with wider applicability.
  4. Basic Climate Modeling:
    Basic climate modeling studies, which do not incorporate advanced techniques or interdisciplinary approaches, are increasingly overshadowed by more complex analyses that integrate multiple data sources and methodologies.
  5. Case Studies of Local Weather Events:
    While case studies remain important, there is a noticeable shift towards larger-scale analyses and modeling efforts that encompass broader geographic and temporal scales.

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