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Department of Meteorology – University of Reading

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Dr. Linda Hirons

Research Scientist NCAS

Web Pages:

Group: http://www.met.reading.ac.uk/~tropical
My Research: http://www.met.reading.ac.uk/~linda

Research Interests:

  • Drivers of climate variability and change in Africa
  • The role of air-sea interactions in sub-seasonal climate variability
  • Tropical convection, e.g., the Madden-Julian Oscillation (MJO), monsoon systems
  • Climate services for Society

Current Research Projects:

  • GCRF African Science for Weather Information and Forecasting Techniques (SWIFT) (2017-present): Develop sustainable African weather forecasting capability, to enhance the livelihood of African populations and improve the economies of their countries. Co-lead of Sub-seasonal to seasonal (S2S) workpackage.
  • IMPALA: Improving Model Processes for African cLimAte (2015-present): Understanding the major modes of global climate variabilty and the teleconnection pathways by which they drive African rainfall variability.

Past Research Projects:

  • Future Weather (2012-2016) : Examining how air-sea interactions affect sub-seasonal variability and the projections of changes in regional weather and climate extremes.
  • Climate Science Services Partnership (CSSP)- China project (2014-2015) : Understanding drivers of sub-seasonal variability in the East Asian Summer Monsoon.
  • Bay of Bengal Boundary Layer Experiment (BoBBLE) (2015) : Understanding the process which control sub-seasonal monsoon variability in the Asian Summer monsoon.

Other interests

  • I was recently commissioned by DfID (Department for International Development) to produce a series of reports on the impact of the 2015/16 El Niño and potential 2016/17 La Niña events on low- and middle-income countries across regions of Africa, Asia and the Middle East.
  • I was part of the team who developed the ocean mixed-layer coupled configuration of the Met Office Unified Model MetUM-GOML
  • I spent time in 2011-2012 as a visiting scientist in the Meteorolgy and Climate Science department at the Kwame Nkrumah University of Science and Technology (KNUST) in Kumasi, Ghana.

Centaur Publications

Jump to: 2021 | 2020 | 2019 | 2018 | 2016 | 2015 | 2013 | 2012
Number of items: 17.

2021

Taye, M. T., Dyer, E., Charles, K. J. and Hirons, L. C. (2021) Potential predictability of the Ethiopian summer rains: understanding local variations and their implications for water management decisions. Science of the Total Environment, 755 (Part 1). 142604. ISSN 0048-9697 doi: https://doi.org/10.1016/j.scitotenv.2020.142604

Muita, R. R., Dougil, A. J., Mutemi, J., Aura, S., Graham, R., Awolala, D. O., Nkiaka, E., Hirons, L. and Opijah, F. (2021) Understanding the role of user needs and perceptions related to sub-seasonal and seasonal forecasts on farmers decisions in Kenya: a systematic review. Frontiers in climate. ISSN 2624-9553 doi: https://doi.org/10.3389/fclim.2021.580556 (In Press)

2020

de Andrade, F. M., Young, M. P., MacLeod, D., Hirons, L. C., Woolnough, S. J. and Black, E. (2020) Sub-seasonal precipitation prediction for Africa: forecast evaluation and sources of predictability. Weather and Forecasting. ISSN 0882-8156 doi: https://doi.org/10.1175/WAF-D-20-0054.1

2019

Wainwright, C. M., Hirons, L. C., Klingaman, N. P., Allan, R. P., Black, E. and Turner, A. G. (2019) The impact of air-sea coupling and ocean biases on the seasonal cycle of southern West African precipitation. Climate Dynamics, 53 (11). pp. 7027-7044. ISSN 0930-7575 doi: https://doi.org/10.1007/s00382-019-04973-0

2018

Hirons, L. and Turner, A. (2018) The impact of Indian Ocean mean-state biases in climate models on the representation of the East African short rains. Journal of Climate, 31 (16). pp. 6611-6631. ISSN 1520-0442 doi: https://doi.org/10.1175/JCLI-D-17-0804.1

Hirons, L. C., Klingaman, N. P. and Woolnough, S. J. (2018) The impact of air–sea interactions on the representation of tropical precipitation extremes. Journal of Advances in Modeling Earth Systems, 10 (2). pp. 550-559. ISSN 1942-2466 doi: https://doi.org/10.1002/2017MS001252

2016

Hirons, L. and Klingaman, N., (2016) El Niño 2015/2016 impact analysis, monthly outlook March 2016. Report. Evidence on Demand, UK. doi: https://doi.org/10.12774/eod_cr.march2016.hironsletal3

Hirons, L. and Klingaman, N., (2016) El Niño 2015/2016 impact analysis, monthly outlook February 2016. Report. Evidence on Demand doi: https://doi.org/10.12774/eod_cr.february2016.hironsletal3

Hirons, L. and Klingaman, N., (2016) La Niña 2016/2017: historical impact analysis. Report. Evidence on Demand doi: https://doi.org/10.12774/eod_cr.february2016.hironsetal4

Hirons, L. and Klingaman, N., (2016) El Niño 2015/2016 impact analysis, monthly outlook January 2016. Report. Evidence on Demand doi: https://doi.org/10.12774/eod_cr.december2015.hironsletal2

2015

Hirons, L. and Klingaman, N., (2015) El Niño 2015/2016 impact analysis, monthly outlook December 2015. Report. Evidence on Demand doi: https://doi.org/10.12774/eod_cr.december2015.hironsletal1

Hirons, L. and Klingaman, N., (2015) El Niño 2015/2016 impact analysis, monthly outlook November 2015. Report. Evidence on Demand doi: https://doi.org/10.12774/eod_cr.november2015.hironsletal

Hirons, L. and Klingaman, N., (2015) El Niño 2015/2016: impact analysis of past El Niños. Report. Evidence on Demand doi: https://doi.org/10.12774/eod_cr.august2015.hironsletal

Hirons, L.C., Klingaman, N.P. and Woolnough, S.J. (2015) MetUM-GOML: a near-globally coupled atmosphere–ocean-mixed-layer model. Geoscientific Model Development, 8. pp. 363-379. ISSN 1991-962X doi: https://doi.org/10.5194/gmd-8-363-2015

2013

Hirons, L. C., Inness, P., Vitart, F. and Bechtold, P. (2013) Understanding advances in the simulation of intraseasonal variability in the ECMWF model. Part I: the representation of the MJO. Quarterly Journal of the Royal Meteorological Society, 139 (675). pp. 1417-1426. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2060

Hirons, L. C., Inness, P., Vitart, F. and Bechtold, P. (2013) Understanding advances in the simulation of intraseasonal variability in the ECMWF model. Part II: the application of process-based diagnostics. Quarterly Journal of the Royal Meteorological Society, 139 (675). pp. 1427-1444. ISSN 1477-870X doi: https://doi.org/10.1002/qj.2059

2012

Hirons, L. (2012) Understanding advances in the simulation of the Madden-Julian Oscillation in a numerical weather prediction model. PhD thesis, University of Reading.

This list was generated on Thu Apr 22 14:48:49 2021 UTC.

Last update: 30th January 2019

Contact

l.c.hirons@reading.ac.uk

Office:

Harry Pitt 128 -

Phone:

7497

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