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 62 Citations 21,435 154 World Ranking 996 National Ranking 37

Overview

What is he best known for?

The fields of study he is best known for:

  • Climate change
  • Meteorology
  • Statistics

Peter Rayner mainly focuses on Climatology, Carbon cycle, Greenhouse gas, Biosphere and Inversion. The study incorporates disciplines such as Seasonality, Tropics, Carbon dioxide and Global change in addition to Climatology. His Carbon cycle study combines topics from a wide range of disciplines, such as Carbon dioxide in Earth's atmosphere and Terrestrial ecosystem.

He has researched Greenhouse gas in several fields, including Fossil fuel, Climate change, Climate model and Data assimilation. His Climate change research includes elements of Soil carbon and Northern Hemisphere, Atmospheric sciences. His Inversion research is multidisciplinary, incorporating perspectives in Amplitude and Grid.

His most cited work include:

  • Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison (2236 citations)
  • Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems (1085 citations)
  • Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models. (921 citations)

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

His primary areas of study are Atmospheric sciences, Carbon cycle, Climatology, Data assimilation and Inversion. The concepts of his Atmospheric sciences study are interwoven with issues in Atmosphere, Meteorology, Land use, land-use change and forestry and Greenhouse gas. His studies deal with areas such as Biosphere, Biosphere model, Primary production, Climate change and Terrestrial ecosystem as well as Carbon cycle.

His research investigates the link between Climatology and topics such as Carbon dioxide that cross with problems in Sink. The various areas that Peter Rayner examines in his Data assimilation study include Probability distribution, Ecosystem, Ensemble Kalman filter, Assimilation and Fossil fuel. The Inversion study combines topics in areas such as Network planning and design, Spatial distribution, Bayesian probability and Synthetic data.

He most often published in these fields:

  • Atmospheric sciences (38.57%)
  • Carbon cycle (36.19%)
  • Climatology (27.62%)

What were the highlights of his more recent work (between 2013-2021)?

  • Atmospheric sciences (38.57%)
  • Carbon cycle (36.19%)
  • Data assimilation (25.71%)

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

Atmospheric sciences, Carbon cycle, Data assimilation, Greenhouse gas and Meteorology are his primary areas of study. His Atmospheric sciences research is multidisciplinary, incorporating elements of Biome, Biosphere, Air quality index and Aerosol. His Biosphere course of study focuses on Fossil fuel and Inversion, Spatial distribution and Carbon dioxide.

His Carbon cycle study incorporates themes from Climatology, Primary production, Biosphere model, Carbon sequestration and Terrestrial ecosystem. His research integrates issues of Land use, land-use change and forestry, Climate change, Radiative forcing, Firn and Geostationary orbit in his study of Greenhouse gas. His Meteorology research incorporates elements of Renewable energy and Sensitivity.

Between 2013 and 2021, his most popular works were:

  • Historical greenhouse gas concentrations for climate modelling (CMIP6) (136 citations)
  • Current systematic carbon-cycle observations and the need for implementing a policy-relevant carbon observing system (112 citations)
  • A multiyear, global gridded fossil fuel CO2 emission data product: Evaluation and analysis of results (93 citations)

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

  • Climate change
  • Meteorology
  • Statistics

Peter Rayner mainly investigates Atmospheric sciences, Carbon cycle, Greenhouse gas, Data assimilation and Meteorology. His Atmospheric sciences study combines topics in areas such as Biosphere model, Aerosol, Carbon dioxide in Earth's atmosphere, Ozone and Monthly average. His Carbon cycle research integrates issues from Carbon uptake, Climatology, Biosphere, Primary production and Terrestrial ecosystem.

His Climatology research is multidisciplinary, incorporating perspectives in Spatial ecology, Firn and Climate change, Climate model. The Greenhouse gas study combines topics in areas such as Inversion, Environmental resource management, Radiative forcing, Geostationary orbit and Fossil fuel. His work carried out in the field of Data assimilation brings together such families of science as Bayesian probability, Artificial intelligence, Probability distribution and Econometrics.

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

Climate–Carbon Cycle Feedback Analysis: Results from the C4MIP Model Intercomparison

Pierre Friedlingstein;P. Cox;Richard A. Betts;Laurent Bopp.
Journal of Climate (2006)

2963 Citations

Recent patterns and mechanisms of carbon exchange by terrestrial ecosystems

.
Nature (2001)

1750 Citations

Towards robust regional estimates of CO2 sources and sinks using atmospheric transport models.

K. R. Gurney;R. M. Law;A. S. Denning;P. J. Rayner.
Nature (2002)

1196 Citations

The Orbiting Carbon Observatory (OCO) mission

D Crisp;RM Atlas;FM Breon;LR Brown.
Advances in Space Research (2004)

671 Citations

The utility of remotely sensed CO2 concentration data in surface source inversions

P. J. Rayner;D. M. O'Brien.
Geophysical Research Letters (2001)

540 Citations

Reconstructing the recent carbon cycle from atmospheric CO2, δ13C and O2/N2 observations*

P. J. Rayner;I. G. Enting;R. J. Francey;R. Langenfelds.
Tellus B (1999)

540 Citations

TransCom 3 inversion intercomparison: Impact of transport model errors on the interannual variability of regional CO2 fluxes, 1988–2003

D. F. Baker;D. F. Baker;Rachel M. Law;Kevin R. Gurney;Kevin R. Gurney;Peter Rayner.
Global Biogeochemical Cycles (2006)

461 Citations

How positive is the feedback between climate change and the carbon cycle

P. Friedlingstein;J. L. Dufresne;P. M. Cox;P. Rayner.
Tellus B (2003)

435 Citations

Precision requirements for space-based XCO2 data

C. E. Miller;D. Crisp;P. L. DeCola;S. C. Olsen.
Journal of Geophysical Research (2007)

405 Citations

Two decades of terrestrial carbon fluxes from a carbon cycle data assimilation system (CCDAS)

Peter J. Rayner;Marko Scholze;Marko Scholze;Wolfgang Knorr;Wolfgang Knorr;Thomas Kaminski.
Global Biogeochemical Cycles (2005)

349 Citations

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