D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 33 Citations 3,731 88 World Ranking 5257 National Ranking 2154

Overview

What is he best known for?

The fields of study he is best known for:

  • Meteorology
  • Precipitation
  • Tropical cyclone

His scientific interests lie mostly in Aerosol, Atmospheric sciences, Climatology, Meteorology and Precipitation. His work focuses on many connections between Aerosol and other disciplines, such as Cloud cover, that overlap with his field of interest in Daytime. His Atmospheric sciences study combines topics from a wide range of disciplines, such as Liquid water path and Cloud fraction.

He has researched Climatology in several fields, including Atmosphere and Climate model. His study in the field of Weather Research and Forecasting Model, Microphysics and Atmospheric models also crosses realms of Amazonian. The Precipitation study combines topics in areas such as Earth's energy budget and Cloud height.

His most cited work include:

  • Role of atmospheric aerosol concentration on deep convective precipitation: Cloud‐resolving model simulations (226 citations)
  • Role of atmospheric aerosol concentration on deep convective precipitation: Cloud‐resolving model simulations (226 citations)
  • Effects of biomass-burning-derived aerosols on precipitation and clouds in the Amazon Basin: a satellite-based empirical study (172 citations)

What are the main themes of his work throughout his whole career to date?

His primary scientific interests are in Meteorology, Climatology, Microphysics, Atmospheric sciences and Precipitation. The concepts of his Meteorology study are interwoven with issues in Lidar, Remote sensing and Cloud physics. His work on Mesoscale meteorology and Monsoon as part of general Climatology research is frequently linked to Water cycle, bridging the gap between disciplines.

Toshihisa Matsui combines subjects such as Snow, Graupel and Atmospheric models with his study of Microphysics. His Atmospheric sciences study combines topics in areas such as Mineral dust, Aerosol and Cloud cover. His biological study spans a wide range of topics, including Atmosphere and Diurnal temperature variation.

He most often published in these fields:

  • Meteorology (77.67%)
  • Climatology (62.14%)
  • Microphysics (62.14%)

What were the highlights of his more recent work (between 2018-2020)?

  • Meteorology (77.67%)
  • Convection (24.27%)
  • Climatology (62.14%)

In recent papers he was focusing on the following fields of study:

Meteorology, Convection, Climatology, Mesoscale meteorology and Population are his primary areas of study. His study in Weather Research and Forecasting Model and Diurnal cycle is carried out as part of his studies in Meteorology. He studied Weather Research and Forecasting Model and Weather forecasting that intersect with Forcing, Parametrization, Graupel, Weather and climate and Microphysics.

He has included themes like Wind speed, Thunderstorm, Weather radar and Radar imaging in his Convection study. His Climatology research is multidisciplinary, incorporating perspectives in Tropical rainfall and Backscatter. In his papers, Toshihisa Matsui integrates diverse fields, such as Scale model and Precipitation.

Between 2018 and 2020, his most popular works were:

  • Investigation of observational error sources in multi-Doppler-radar three-dimensional variational vertical air motion retrievals (10 citations)
  • Evaluating the Impact of Assimilating Aerosol Optical Depth Observations on Dust Forecasts Over North Africa and the East Atlantic Using Different Data Assimilation Methods. (5 citations)
  • Use of polarimetric radar measurements to constrain simulated convective cell evolution: A pilot study with Lagrangian tracking (4 citations)

In his most recent research, the most cited papers focused on:

  • Meteorology
  • Tropical cyclone
  • Precipitation

Toshihisa Matsui spends much of his time researching Meteorology, Convection, Deep blue, Data assimilation and Climatology. He interconnects Weather radar and Radar imaging in the investigation of issues within Meteorology. His Convection research includes themes of Doppler radar, Diurnal cycle and Mesoscale meteorology.

North africa, Backscatter, Moderate-resolution imaging spectroradiometer and North african are fields of study that intersect with his Deep blue research.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Role of atmospheric aerosol concentration on deep convective precipitation: Cloud‐resolving model simulations

Wei-Kuo Tao;Xiaowen Li;Xiaowen Li;Alexander Khain;Toshihisa Matsui;Toshihisa Matsui.
Journal of Geophysical Research (2007)

297 Citations

Effects of biomass-burning-derived aerosols on precipitation and clouds in the Amazon Basin: a satellite-based empirical study

J. C. Lin;J. C. Lin;T. Matsui;R. A. Pielke;C. Kummerow.
Journal of Geophysical Research (2006)

246 Citations

Direct observations of the effects of aerosol loading on net ecosystem CO2 exchanges over different landscapes

Dev Niyogi;Hsin I. Chang;V. K. Saxena;Teddy Holt;Teddy Holt.
Geophysical Research Letters (2004)

214 Citations

A new paradigm for assessing the role of agriculture in the climate system and in climate change

Roger A. Pielke;Jimmy O. Adegoke;Thomas N. Chase;Curtis H. Marshall.
Agricultural and Forest Meteorology (2007)

155 Citations

Satellite-based assessment of marine low cloud variability associated with aerosol, atmospheric stability, and the diurnal cycle

Toshihisa Matsui;Hirohiko Masunaga;Sonia M. Kreidenweis;Roger A. Pielke.
Journal of Geophysical Research (2006)

120 Citations

Satellite Data Simulator Unit: A Multisensor, Multispectral Satellite Simulator Package

Hirohiko Masunaga;Toshihisa Matsui;Wei-kuo Tao;Arthur Y. Hou.
Bulletin of the American Meteorological Society (2010)

99 Citations

Evaluation of Long-Term Cloud-Resolving Model Simulations Using Satellite Radiance Observations and Multifrequency Satellite Simulators

Toshihisa Matsui;Xiping Zeng;Wei-Kuo Tao;Hirohiko Masunaga.
Journal of Atmospheric and Oceanic Technology (2009)

91 Citations

WRF Simulations of the 20-22 January 2007 Snow Events over Eastern Canada: Comparison with In-Situ and Satellite Observations

J. J. Shi;J. J. Shi;W.-K. Tao;T. Matsui;T. Matsui;R. Cifelli.
Journal of Applied Meteorology and Climatology (2010)

90 Citations

Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scales

Christa D. Peters-Lidard;Eric M. Kemp;Toshihisa Matsui;Joseph A. Santanello.
Environmental Modelling and Software (2015)

87 Citations

Evaluating cloud microphysics from NICAM against CloudSat and CALIPSO

Tempei Hashino;Masaki Satoh;Yuichiro Hagihara;Takuji Kubota.
Journal of Geophysical Research (2013)

79 Citations

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