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Matthew Martin

Matthew Martin

D-Index & Metrics

Environmental Sciences

D-Index
46
Citations
11379
World Ranking
5972
National Ranking
466

Overview

Matthew Martin is affiliated with the Met Office in the United Kingdom, contributing extensively to Earth and Planetary Sciences and Environmental Science. Their research spans subfields such as Atmospheric Science, Oceanography, and Global and Planetary Change, with additional interests in Artificial Intelligence and aspects of Management, Monitoring, Policy, and Law.

The core topics of Matthew Martin's work include Oceanographic and Atmospheric Processes, Climate Variability and Models, Meteorological Phenomena and Simulations, Arctic and Antarctic Ice Dynamics, Climate Change and Permafrost, Cryospheric Studies and Observations, and Atmospheric and Environmental Gas Dynamics.

Frequent collaborators in Martin's research efforts include Jennifer Waters, Daniel J. Lea, Robert R. King, James While, and Craig Donlon.

Martin has published regularly in the following venues:

  • Quarterly Journal of the Royal Meteorological Society
  • Frontiers in Marine Science
  • Ocean Science
  • Remote Sensing
  • Journal of Advances in Modeling Earth Systems

Recent papers authored or co-authored by Matthew Martin include:

  • The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses (2020) in Remote Sensing
  • Improving the Met Office's Forecast Ocean Assimilation Model (FOAM) with the assimilation of satellite-derived sea-ice thickness data from CryoSat-2 and SMOS in the Arctic (2022) in Quarterly Journal of the Royal Meteorological Society
  • Assimilation of sea ice thickness derived from CryoSat-2 along-track freeboard measurements into the Met Office's Forecast Ocean Assimilation Model (FOAM) (2022) in The Cryosphere
  • The Met Office Forecast Ocean Assimilation Model (FOAM) using a 1/12-degree grid for global forecasts (2024) in Quarterly Journal of the Royal Meteorological Society
  • Improved High Resolution Ocean Reanalyses Using a Simple Smoother Algorithm (2021) in Journal of Advances in Modeling Earth Systems

Best Publications

  • EN4: Quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates

    Simon A. Good;Matthew J. Martin;Nick A. Rayner

  • The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system

    Craig J. Donlon;Matthew Martin;John Stark;Jonah Roberts-Jones

  • Skillful long‐range prediction of European and North American winters

    A. A. Scaife;A. Arribas;E. Blockley;A. Brookshaw

  • The Current Configuration of the OSTIA System for Operational Production of Foundation Sea Surface Temperature and Ice Concentration Analyses

    Simon Good;Emma Fiedler;Chongyuan Mao;Matthew J. Martin

  • OSTIA : An operational, high resolution, real time, global sea surface temperature analysis system

    J.D. Stark;C.J. Donlon;M.J. Martin;M.E. McCulloch

  • CERA-20C: A Coupled Reanalysis of the Twentieth Century

    Patrick Laloyaux;Eric de Boisseson;Magdalena Balmaseda;Jean-Raymond Bidlot

  • The Ocean Reanalyses Intercomparison Project (ORA-IP)

    M. A. Balmaseda;F. Hernandez;A. Storto;M. D. Palmer

  • From Observation to Information and Users: The Copernicus Marine Service Perspective

    Pierre Yves Le Traon;Antonio Reppucci;Enrique Alvarez Fanjul;Lotfi Aouf

  • Recent development of the Met Office operational ocean forecasting system: an overview and assessment of the new Global FOAM forecasts

    E. W. Blockley;M. J. Martin;A. J. McLaren;A. G. Ryan

  • Implementing a variational data assimilation system in an operational 1/4 degree global ocean model

    Jennifer Waters;Daniel J. Lea;Matthew J. Martin;Isabelle Mirouze

  • Data assimilation in the FOAM operational short-range ocean forecasting system: a description of the scheme and its impact

    M. J. Martin;A. Hines;M. J. Bell

  • Satellite Salinity Observing System: Recent Discoveries and the Way Forward

    Nadya Vinogradova;Tong Lee;Jacqueline Boutin;Kyla Drushka

  • An operational ocean forecast system incorporating NEMO and SST data assimilation for the tidally driven European North-West shelf

    E J O’Dea;A K Arnold;K P Edwards;R Furner

  • Group for High Resolution Sea Surface temperature (GHRSST) analysis fields inter-comparisons. Part 1: A GHRSST multi-product ensemble (GMPE)

    Matthew Martin;Prasanjit Dash;Prasanjit Dash;Alexander Ignatov;Viva Banzon

  • Assimilation of data into an ocean model with systematic errors near the equator

    M. J. Bell;M. J. Martin;N. K. Nichols

  • GODAE systems in operation

    Eric Dombrowsky;Laurent Bertino;Gary B Brassington;Eric P Chassignet

  • Daily, Global, High-Resolution SST and Sea Ice Reanalysis for 1985–2007 Using the OSTIA System

    Jonah Roberts-Jones;Emma Kathleen Fiedler;Matthew James Martin

  • Ocean heat content variability and change in an ensemble of ocean reanalyses

    M. D. Palmer;C. D. Roberts;M. Balmaseda;Y. S. Chang

  • Forecasting the ocean state using NEMO:The new FOAM system

    D Storkey;E W Blockley;R Furner;C Guiavarc’h

  • Synthesis of Ocean Observations Using Data Assimilation for Operational, Real-Time and Reanalysis Systems: A More Complete Picture of the State of the Ocean.

    Andrew M. Moore;Matthew J. Martin;Santha Akella;Hernan G. Arango

  • Assessing a New Coupled Data Assimilation System Based on the Met Office Coupled Atmosphere–Land–Ocean–Sea Ice Model

    D. J. Lea;I. Mirouze;M. J. Martin;R. R. King

Frequent Co-Authors

Magdalena Balmaseda
Magdalena Balmaseda European Centre for Medium-Range Weather Forecasts
Simona Masina
Simona Masina Centro Euro-Mediterraneo sui Cambiamenti Climatici
Keith Haines
Keith Haines University of Reading
Tong Lee
Tong Lee California Institute of Technology
Peter R. Oke
Peter R. Oke Commonwealth Scientific and Industrial Research Organisation
Oscar Alves
Oscar Alves Bureau of Meteorology
Yan Xue
Yan Xue National Oceanic and Atmospheric Administration
Craig Donlon
Craig Donlon European Space Agency
Armin Köhl
Armin Köhl Universität Hamburg
Laurent Bertino
Laurent Bertino Bjerknes Centre for Climate Research

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