David is a scientist in the coupled assimilation team working on land surface data assimilation. He is mainly concerned with the soil moisture data assimilation scheme and the assimilation of space borne surface soil moisture observations.
David is responsible for maintaining the near-real-time and reanalysis root-zone soil moisture products for the EUMETSAT Satellite Applications Facility for Coupled Hydrology (H SAF). Recent work focused on developing a reanalysed soil moisture product using ERA‐5 atmospheric forcing at 10 km resolution. He has also developed a new type of stand-alone surface analysis at ECMWF for research and reanalysis purposes. Future work will focus on improving the bias correction of ASCAT observations. He will also test applications of the stand-alone surface analysis, including land reanalyses and seasonal reforecasting activities.
06/2017 - present - Scientist at ECMWF (funded by H SAF)
11/2016 - 05/2017 - Post-doc at Imperial College London
02/2014 - 11/2016 - Post-doc at CNRM, Meteo-France
10/2009 - 11/2013 - Engineering doctorate joint with the University of Surrey/UK Met Office
- 2024
- Peter Weston, Patricia de Rosnay, David Fairbairn (March 2024) Adaptive soil moisture bias correction in the ECMWF land data assimilation system. DOI: 10.5194/egusphere-egu24-1769
- Christoph Herbert, Patricia de Rosnay, Peter Weston, David Fairbairn (August 2024) Towards unified land data assimilation at ECMWF: Soil and snow temperature analysis in the Simplified Extended Kalman Filter. DOI: 10.5194/ems2024-525
- Christoph Herbert, Peter Weston, Patricia de Rosnay, David Fairbairn, Ewan Pinnington (August 2024) Exploring outer-loop land-atmosphere coupling. DOI: 10.5194/ems2024-530
- David Fairbairn, Patricia de Rosnay, Peter Weston (January 2024) Evaluation of an Adaptive Soil Moisture Bias Correction Approach in the ECMWF Land Data Assimilation System, Remote Sensing. DOI: 10.3390/rs16030493
- Christoph Herbert, Patricia de Rosnay, Peter Weston, David Fairbairn (July 2024) Towards unified land data assimilation at ECMWF: Soil and snow temperature analysis in the SEKF, Quarterly Journal of the Royal Meteorological Society. DOI: 10.1002/qj.4808
- 2022
- (June 2022) Coupled data assimilation at ECMWF : current status, challenges and future developments, Quarterly Journal of the Royal Meteorological Society. DOI: 10.1002/qj.4330
- (March 2022) Statistical approaches to assimilate soil moisture information: Methodology, first assessment and future plans, []. DOI: 10.5194/egusphere-egu22-8349
- (July 2022) Progress on developing a new coupled sea-surface temperature analysis, ECMWF Newsletter, pp. 17-22. DOI: 10.21957/tm4913hs8d
- 2021
- (April 2021) Statistical approaches to assimilate ASCAT soil moisture information—I. Methodologies and first assessment, Quarterly Journal of the Royal Meteorological Society. DOI: 10.1002/qj.3997
- 2019
- (February 2019) An Evaluation of the EnKF vs. EnOI and the Assimilation of SMAP, SMOS and ESA CCI Soil Moisture Data over the Contiguous US, Remote Sensing. DOI: 10.3390/rs11050478
- (October 2019) The New Stand-Alone Surface Analysis at ECMWF: Implications for Land–Atmosphere DA Coupling, Journal of Hydrometeorology. DOI: 10.1175/jhm-d-19-0074.1
- (October 2019) Data assimilation for continuous global assessment of severe conditions over terrestrial surfaces, []. DOI: 10.5194/hess-2019-534
- 2018
- (April 2018) Hydrological assessment of atmospheric forcing uncertainty in the Euro-Mediterranean area using a land surface model, Hydrology and Earth System Sciences. DOI: 10.5194/hess-22-2091-2018
- 2017
- (October 2017) Sequential assimilation of satellite-derived vegetation and soil moisture products using SURFEX_v8.0: LDAS-Monde assessment over the Euro-Mediterranean area, Geoscientific Model Development. DOI: 10.5194/gmd-10-3889-2017
- (April 2017) The effect of satellite-derived surface soil moisture and leaf area index land data assimilation on streamflow simulations over France, Hydrology and Earth System Sciences. DOI: 10.5194/hess-21-2015-2017
- 2015
- (December 2015) Comparing the ensemble and extended Kalman filters for in situ soil moisture assimilation with contrasting conditions, Hydrology and Earth System Sciences. DOI: 10.5194/hess-19-4811-2015
- (January 2015) Comparison of Hybrid-4DEnVar and Hybrid-4DVar Data Assimilation Methods for Global NWP, Monthly Weather Review. DOI: 10.1175/mwr-d-14-00195.1
- (October 2015) Analysis of current validation practices in Europe for space-based climate data records of essential climate variables, International Journal of Applied Earth Observation and Geoinformation. DOI: 10.1016/j.jag.2015.06.006
- 2014
- (January 2014) A comparison of 4DVar with ensemble data assimilation methods, Quarterly Journal of the Royal Meteorological Society. DOI: 10.1002/qj.2135