JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN

Scope & Guideline

Fostering Collaboration in Environmental Science

Introduction

Explore the comprehensive scope of JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN in depth and align your research initiatives with current academic trends.
LanguageMulti-Language
ISSN0026-1165
PublisherMETEOROLOGICAL SOC JAPAN
Support Open AccessYes
CountryJapan
TypeJournal
Convergefrom 1905 to 1907, from 1910 to 1918, from 1920 to 1922, from 1966 to 1967, 1974, from 1976 to 1978, from 1980 to 1981, 1983, from 1986 to 2024
AbbreviationJ METEOROL SOC JPN / J. Meteorol. Soc. Jpn.
Frequency6 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressC/O JAPAN METEOROLOGICAL AGENCY 1-3-4 OTE-MACHI, CHIYODA-KU, TOKYO 100-0004, JAPAN

Aims and Scopes

The JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN focuses on advancing the understanding of meteorological phenomena through innovative research methodologies and comprehensive data analysis. The journal aims to publish high-quality research that contributes to the field of meteorology, particularly with respect to its application in Japan and the surrounding regions.
  1. Tropical Cyclone Research:
    The journal frequently publishes studies on tropical cyclones, including their intensity, forecast methodologies, and interactions with atmospheric conditions. This area represents a significant focus due to the impact of typhoons on Japan.
  2. Data Assimilation Techniques:
    Research involving innovative data assimilation techniques, such as ensemble Kalman filters and machine learning methods, is prevalent. These studies aim to improve numerical weather predictions and climate models.
  3. Regional Climate Modeling:
    The journal emphasizes regional climate studies, particularly those concerning East Asia and the Western North Pacific. This includes investigations into precipitation patterns, monsoon dynamics, and the effects of climate change.
  4. Remote Sensing and Observation Methodologies:
    A significant number of papers utilize remote sensing technologies and observational data to analyze meteorological phenomena, including precipitation measurement and atmospheric profiling.
  5. Impact of Climate Change on Weather Patterns:
    There is a consistent focus on understanding how climate change is influencing extreme weather events, precipitation variability, and temperature trends in Japan and surrounding regions.
The journal has exhibited a dynamic evolution in its research themes, with certain areas gaining prominence in recent publications. These trending topics reflect current challenges and advancements in meteorological science.
  1. Machine Learning Applications in Meteorology:
    There is a growing trend of applying machine learning techniques to improve weather forecasting, data assimilation, and climate modeling, indicating a shift towards integrating advanced computational methods in meteorological research.
  2. Extreme Weather Events Analysis:
    Recent publications have increasingly focused on analyzing extreme weather events, such as heavy rainfall and typhoons, particularly in the context of climate change, highlighting their societal impacts and forecasting challenges.
  3. Interdisciplinary Approaches:
    Emerging research is showing an interdisciplinary approach, combining meteorology with environmental science, urban planning, and public health to address complex issues such as heat stress and disaster preparedness.
  4. High-Resolution Climate Modeling:
    There is a trend towards using high-resolution climate models to capture local weather phenomena and their impacts more accurately, reflecting advancements in computational capabilities and data availability.
  5. Impact of Aerosols and Pollution on Weather:
    Research exploring the influence of aerosols and urban pollution on weather patterns is becoming more prominent, reflecting a growing awareness of anthropogenic effects on meteorological systems.

Declining or Waning

While the journal maintains a robust focus on various meteorological themes, certain areas have shown signs of declining interest or publication frequency. This may reflect shifts in research priorities or advancements in methodologies that have rendered previous topics less relevant.
  1. Traditional Statistical Forecasting:
    There has been a noticeable decline in papers focusing solely on traditional statistical forecasting methods, as more researchers are gravitating towards advanced computational techniques and machine learning approaches.
  2. Global Climate Models without Regional Focus:
    Research that applies global climate models without a specific regional focus has decreased, likely due to the growing emphasis on localized studies that address specific climatic impacts in East Asia.
  3. Basic Atmospheric Physics Studies:
    There appears to be a waning interest in basic studies of atmospheric physics that do not directly contribute to practical applications, as research has shifted towards more applied meteorological investigations.

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