D-Index & Metrics Best Publications

D-Index & Metrics 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.

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 41 Citations 6,942 208 World Ranking 3810 National Ranking 14

Overview

What is he best known for?

The fields of study he is best known for:

  • Meteorology
  • Thermodynamics
  • Climate change

His primary areas of study are Meteorology, Atmospheric sciences, Aerosol, Plume and Precipitation. His study in Vegetation extends to Meteorology with its themes. His study of Weather Research and Forecasting Model is a part of Atmospheric sciences.

His Aerosol research integrates issues from Trace gas and Regional Atmospheric Modeling System. His research investigates the connection between Plume and topics such as Convection that intersect with problems in Smoke and Climatology. The Precipitation study combines topics in areas such as Lightning, Weather and climate and Cloud condensation nuclei.

His most cited work include:

  • A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling (424 citations)
  • Drought sensitivity of Amazonian carbon balance revealed by atmospheric measurements (280 citations)
  • Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models (224 citations)

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

Saulo R. Freitas focuses on Atmospheric sciences, Meteorology, Aerosol, Climatology and Amazon rainforest. Saulo R. Freitas combines subjects such as Atmosphere, Smoke, Precipitation, Plume and Particulates with his study of Atmospheric sciences. His studies in Regional Atmospheric Modeling System, Convection, Weather Research and Forecasting Model, Atmospheric chemistry and Atmospheric model are all subfields of Meteorology research.

The various areas that he examines in his Regional Atmospheric Modeling System study include Vegetation and Data assimilation. Within one scientific family, he focuses on topics pertaining to Trace gas under Aerosol, and may sometimes address concerns connected to Biomass. His study explores the link between Amazon rainforest and topics such as Sink that cross with problems in Radiation flux.

He most often published in these fields:

  • Atmospheric sciences (47.39%)
  • Meteorology (39.81%)
  • Aerosol (30.33%)

What were the highlights of his more recent work (between 2016-2021)?

  • Meteorology (39.81%)
  • Atmospheric sciences (47.39%)
  • Convection (14.22%)

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

His primary areas of investigation include Meteorology, Atmospheric sciences, Convection, Aerosol and Smoke. The Numerical weather prediction, Weather Research and Forecasting Model, Air quality index and Weather forecasting research Saulo R. Freitas does as part of his general Meteorology study is frequently linked to other disciplines of science, such as Scale, therefore creating a link between diverse domains of science. His research in Atmospheric sciences focuses on subjects like Deep convection, which are connected to Entrainment and Convective transport.

Saulo R. Freitas works mostly in the field of Convection, limiting it down to topics relating to Diurnal cycle and, in certain cases, Mass flux and Precipitation, as a part of the same area of interest. His studies deal with areas such as Dry season, Atmosphere, Trace gas and Amazon rainforest as well as Aerosol. His study on Smoke also encompasses disciplines like

  • Rapid Refresh together with Visibility, Remote sensing and Atmospheric model,
  • Global change which intersects with area such as Power,
  • Conus together with Real time forecasting.

Between 2016 and 2021, his most popular works were:

  • Seasonal and Interannual Assessment of Cloud Cover and Atmospheric Constituents Across the Amazon (2000 - 2015): Insights for Remote Sensing and Climate Analysis (26 citations)
  • WRF-Chem version 3.8.1 user's guide (26 citations)
  • Efficient In‐Cloud Removal of Aerosols by Deep Convection (19 citations)

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

A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling

G. A. Grell;S. R. Freitas.
Atmospheric Chemistry and Physics (2014)

720 Citations

Drought sensitivity of Amazonian carbon balance revealed by atmospheric measurements

L. V. Gatti;M. Gloor;J. B. Miller;C. E. Doughty.
Nature (2014)

457 Citations

Monitoring the transport of biomass burning emissions in South America

Saulo R. Freitas;Karla M. Longo;Maria A. F. Silva Dias;Pedro L. Silva Dias.
Environmental Fluid Mechanics (2005)

379 Citations

Including the sub-grid scale plume rise of vegetation fires in low resolution atmospheric transport models

S. R. Freitas;K. M. Longo;R. Chatfield;D. Latham.
Atmospheric Chemistry and Physics (2006)

327 Citations

The Coupled Aerosol and Tracer Transport model to the Brazilian developments on the Regional Atmospheric Modeling System (CATT-BRAMS) – Part 1: Model description and evaluation

S. R. Freitas;K. M. Longo;M. A. F. Silva Dias;M. A. F. Silva Dias;R. Chatfield.
Atmospheric Chemistry and Physics (2009)

327 Citations

Transport of Biomass Burning Smoke to the Upper Troposphere by Deep Convection in the Equatorial Region.

M. O. Andreae;P. Artaxo;H. Fischer;S. R. Freitas.
Geophysical Research Letters (2001)

318 Citations

Inclusion of biomass burning in WRF-Chem: impact of wildfires on weather forecasts

G. Grell;S. R. Freitas;M. Stuefer;J. Fast.
Atmospheric Chemistry and Physics (2011)

220 Citations

PREP-CHEM-SRC – 1.0: a preprocessor of trace gas and aerosol emission fields for regional and global atmospheric chemistry models

S. R. Freitas;K. M. Longo;M. F. Alonso;M. Pirre.
Geoscientific Model Development (2011)

177 Citations

Coupled weather research and forecasting-stochastic time-inverted lagrangian transport (WRF-STILT) model

Thomas Nehrkorn;Janusz Eluszkiewicz;Steven Charles Wofsy;John C. Lin.
Meteorology and Atmospheric Physics (2010)

177 Citations

Química atmosférica na Amazônia: a floresta e as emissões de queimadas controlando a composição da atmosfera amazônica

Paulo Artaxo;Luciana V. Gatti;Ana M. Córdova Leal;Karla M. Longo.
Acta Amazonica (2005)

174 Citations

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