Patricia De Rosnay

Dr. Patricia De Rosnay

European Centre for Medium-Range Weather Forecasts, Coupled Assimilation Team, Earth System Assimilation Section, Research Department, Reading, UK
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Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 May 2020 in Quarterly Journal of the Royal Meteorological Society
Verified
Journal Article
Open access
PDF file
HHHans Hersbach
Hans Hersbach
BBBill Bell
Bill Bell
PBPaul Berrisford
Paul Berrisford
SHShoji Hirahara
Shoji Hirahara
AHAndrás Horányi
András Horányi
JTJean‐Noël Thépaut
Jean‐Noël Thépaut
Within the Copernicus Climate Change Service (C3S), ECMWF is producing the ERA5 reanalysis which, once completed, will embody a detailed record of the global atmosphere, land surface and ocean waves from 1950 onwards. This new reanalysis replaces the ERA‐Interim reanalysis (spanning 1979 onwards) which was started in 2006. ERA5 is based on the Integrated Forecasting System (IFS) Cy41r2 which was operational in 2016. ERA5 thus benefits from a decade of developments in model physics, core dynamics and data assimilation. In addition to a significantly enhanced horizontal resolution of 31 km, compared to 80 km for ERA‐Interim, ERA5 has hourly output throughout, and an uncertainty estimate from an ensemble (3‐hourly at half the horizontal resolution). This paper describes the general set‐up of ERA5, as well as a basic evaluation of characteristics and performance, with a focus on the dataset from 1979 onwards which is currently publicly available. Re‐forecasts from ERA5 analyses show a gain of up to one day in skill with respect to ERA‐Interim. Comparison with radiosonde and PILOT data prior to assimilation shows an improved fit for temperature, wind and humidity in the troposphere, but not the stratosphere. A comparison with independent buoy data shows a much improved fit for ocean wave height. The uncertainty estimate reflects the evolution of the observing systems used in ERA5. The enhanced temporal and spatial resolution allows for a detailed evolution of weather systems. For precipitation, global‐mean correlation with monthly‐mean GPCP data is increased from 67% to 77%. In general, low‐frequency variability is found to be well represented and from 10 hPa downwards general patterns of anomalies in temperature match those from the ERA‐Interim, MERRA‐2 and JRA‐55 reanalyses.

19 April 2012 in Reviews of Geophysics
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Journal Article
Closed access
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WCWade Crow
Wade Crow
Aaron BergAaron Berg
Aaron Berg
Michael CoshMichael Cosh
Michael Cosh
ALAlexander Loew
Alexander Loew
BMBinayak P Mohanty
Binayak P Mohanty
JWJeffrey Walker
Jeffrey Walker

1 February 2013 in Meteorologische Zeitschrift
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Journal Article
Closed access
WWWolfgang Wagner
Wolfgang Wagner
SHSebastian Hahn
Sebastian Hahn
RKRichard Kidd
Richard Kidd
TMThomas Melzer
Thomas Melzer
ZBZoltan Bartalis
Zoltan Bartalis
KSKla Steinnocher
Kla Steinnocher

1 April 2007 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Jean-Pierre WigneronJean-Pierre Wigneron
Jean-Pierre Wigneron
Yann KERRYann KERR
Yann KERR
PWP. Waldteufel
P. Waldteufel
KSK. Saleh
K. Saleh
MEMaria Jose Escorihuela
Maria Jose Escorihuela
MSMike Schwank
Mike Schwank

21 January 2015 in Hydrology and Earth System Sciences
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Journal Article
Open access
Gianpaolo BalsamoGianpaolo Balsamo
Gianpaolo Balsamo
Clement AlbergelClement Albergel
Clement Albergel
ABA. Beljaars
A. Beljaars
SBS. Boussetta
S. Boussetta
EBE. Brun
E. Brun
FVF. Vitart
F. Vitart
ERA-Interim/Land is a global land surface reanalysis data set covering the period 1979–2010. It describes the evolution of soil moisture, soil temperature and snowpack. ERA-Interim/Land is the result of a single 32-year simulation with the latest ECMWF (European Centre for Medium-Range Weather Forecasts) land surface model driven by meteorological forcing from the ERA-Interim atmospheric reanalysis and precipitation adjustments based on monthly GPCP v2.1 (Global Precipitation Climatology Project). The horizontal resolution is about 80 km and the time frequency is 3-hourly. ERA-Interim/Land includes a number of parameterization improvements in the land surface scheme with respect to the original ERA-Interim data set, which makes it more suitable for climate studies involving land water resources. The quality of ERA-Interim/Land is assessed by comparing with ground-based and remote sensing observations. In particular, estimates of soil moisture, snow depth, surface albedo, turbulent latent and sensible fluxes, and river discharges are verified against a large number of site measurements. ERA-Interim/Land provides a global integrated and coherent estimate of soil moisture and snow water equivalent, which can also be used for the initialization of numerical weather prediction and climate models.

1 March 2012 in Remote Sensing of Environment
Verified
Journal Article
Closed access
Clement AlbergelClement Albergel
Clement Albergel
Patricia De RosnayPatricia De Rosnay
Patricia De Rosnay
CGClaire Gruhier
Claire Gruhier
JMJoaquín Muñoz-Sabater
Joaquín Muñoz-Sabater
SHStefan Hasenauer
Stefan Hasenauer
WWWolfgang Wagner
Wolfgang Wagner