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Beatriz Monge-Sanz

Senior Researcher

Research theme

  • Climate physics

Sub department

  • Atmospheric, Oceanic and Planetary Physics

Research groups

  • Climate dynamics
  • Earth Observation Data Group
beatriz.monge-sanz@physics.ox.ac.uk
Atmospheric Physics Clarendon Laboratory, room Room 111
  • About
  • MPhys projects
  • Publications

Climatology of the terms and variables of transformed Eulerian-mean (TEM) equations from multiple reanalyses: MERRA-2, JRA-55, ERA-Interim, and CFSR

Copernicus Publications 2023 (2023) 1-49

Authors:

Masatomo Fujiwara, Patrick Martineau, Jonathon S Wright, Marta Abalos, Petr Šácha, Yoshio Kawatani, Sean M Davis, Thomas Birner, Beatriz M Monge-Sanz
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Stratospheric prognostic ozone for seamless Earth System Models

Copernicus Publications (2022)

Authors:

Beatriz Monge-Sanz, Alessio Bozzo, Nicholas Byrne, Martyn Chipperfield, Michail Diamantakis, Johannes Flemming, Lesley Gray, Robin Hogan, Luke Jones, Linus Magnusson, Inna Polichtchouk, Theodore Shepherd, Nils Wedi, Antje Weisheimer
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The middle atmospheric meridional circulation for 2002–2012 derived from MIPAS observations

Atmospheric Chemistry and Physics Copernicus Publications 21:11 (2021) 8823-8843

Authors:

Thomas von Clarmann, Udo Grabowski, Gabriele P Stiller, Beatriz M Monge-Sanz, Norbert Glatthor, Sylvia Kellmann
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Brewer-Dobson Circulation in the SPARC Reanalyses Intercomparison Project (SRIP)

WCRP SPARC Reanalyses Intercomparison Project Report No. 10, Chapter 5 (2021)

Authors:

Monge-Sanz, B. M., Birner, T., Chabrillat, S., Diallo, M., Haenel, F., Konopka, P., Legras, B., Ploeger, F., Reddmann, T., Stiller, G., Wright, J. S., Abalos, M., Boenisch, H. Davis, S., Garny, H., Hitchcock, P., Miyazaki, K., Roscoe., H., Sato, K., Tao, M. C., and Waugh, D.

Abstract:

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SEAS5: the new ECMWF seasonal forecast system

Geoscientific Model Development European Geosciences Union 12:3 (2019) 1087-1117

Authors:

SJ Johnson, TN Stockdale, L Ferranti, MA Balmaseda, F Molteni, L Magnusson, S Tietsche, D Decremer, Antje Weisheimer, G Balsamo, SPE Keeley, K Mogensen, H Zuo, BM Monge-Sanz

Abstract:

In this paper we describe SEAS5, ECMWF's fifth generation seasonal forecast system, which became operational in November 2017. Compared to its predecessor, System 4, SEAS5 is a substantially changed forecast system. It includes upgraded versions of the atmosphere and ocean models at higher resolutions, and adds a prognostic sea-ice model. Here, we describe the configuration of SEAS5 and summarise the most noticeable results from a set of diagnostics including biases, variability, teleconnections and forecast skill.

An important improvement in SEAS5 is the reduction of the equatorial Pacific cold tongue bias, which is accompanied by a more realistic El Niño amplitude and an improvement in El Niño prediction skill over the central-west Pacific. Improvements in 2 m temperature skill are also clear over the tropical Pacific. Sea-surface temperature (SST) biases in the northern extratropics change due to increased ocean resolution, especially in regions associated with western boundary currents. The increased ocean resolution exposes a new problem in the northwest Atlantic, where SEAS5 fails to capture decadal variability of the North Atlantic subpolar gyre, resulting in a degradation of DJF 2 m temperature prediction skill in this region. The prognostic sea-ice model improves seasonal predictions of sea-ice cover, although some regions and seasons suffer from biases introduced by employing a fully dynamical model rather than the simple, empirical scheme used in System 4. There are also improvements in 2 m temperature skill in the vicinity of the Arctic sea-ice edge. Cold temperature biases in the troposphere improve, but increase at the tropopause. Biases in the extratropical jets are larger than in System 4: extratropical jets are too strong, and displaced northwards in JJA. In summary, development and added complexity since System 4 has ensured that SEAS5 is a state-of-The-Art seasonal forecast system which continues to display a particular strength in the El Niño Southern Oscillation (ENSO) prediction.

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