Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Paul Poli is active.

Publication


Featured researches published by Paul Poli.


Journal of Climate | 2016

ERA-20C: An Atmospheric Reanalysis of the Twentieth Century

Paul Poli; Hans Hersbach; Dick Dee; Paul Berrisford; A. J. Simmons; F. Vitart; Patrick Laloyaux; David G. H. Tan; Carole Peubey; Jean-Noël Thépaut; Yannick Trémolet; E. Hólm; Massimo Bonavita; Lars Isaksen; Michael Fisher

AbstractThe ECMWF twentieth century reanalysis (ERA-20C; 1900–2010) assimilates surface pressure and marine wind observations. The reanalysis is single-member, and the background errors are spatiotemporally varying, derived from an ensemble. The atmospheric general circulation model uses the same configuration as the control member of the ERA-20CM ensemble, forced by observationally based analyses of sea surface temperature, sea ice cover, atmospheric composition changes, and solar forcing. The resulting climate trend estimations resemble ERA-20CM for temperature and the water cycle. The ERA-20C water cycle features stable precipitation minus evaporation global averages and no spurious jumps or trends. The assimilation of observations adds realism on synoptic time scales as compared to ERA-20CM in regions that are sufficiently well observed. Comparing to nighttime ship observations, ERA-20C air temperatures are 1 K colder. Generally, the synoptic quality of the product and the agreement in terms of climat...


Tellus A | 2008

The ADM-Aeolus wind retrieval algorithms

David G. H. Tan; Erik Andersson; Jos de Kloe; Gert-Jan Marseille; Ad Stoffelen; Paul Poli; Marie-Laure Denneulin; Alain Dabas; Dorit Huber; Oliver Reitebuch; Pierre H. Flamant; Olivier Le Rille; Herbert Nett

The ADM-Aeolus is primarily a research and demonstration mission flying the first Doppler wind lidar in space. Flexible data processing tools are being developed for use in the operational ground segment and by the meteorological community. We present the algorithms developed to retrieve accurate and representative wind profiles, suitable for assimilation in numerical weather prediction. The algorithms provide a flexible framework for classification and weighting of measurement-scale (1–10 km) data into aggregated, observation-scale (50 km) wind profiles for assimilation. The algorithms account for temperature and pressure effects in the molecular backscatter signal, and so the main remaining scientific challenge is to produce representative winds in inhomogeneous atmospheric conditions, such as strong wind shear, broken clouds, and aerosol layers. The Aeolus instrument provides separate measurements in Rayleigh and Mie channels, representing molecular (clear air) and particulate (aerosol and clouds) backscatter, respectively. The combining of information from the two channels offers possibilities to detect and flag difficult, inhomogeneous conditions. The functionality of a baseline version of the developed software has been demonstrated based on simulation of idealized cases.


Journal of Geophysical Research | 2009

Impact of GPS zenith delay assimilation on convective‐scale prediction of Mediterranean heavy rainfall

Xin Yan; V. Ducrocq; Paul Poli; M. Hakam; Geneviève Jaubert; Andrea Walpersdorf

The numerical weather prediction forecast skill of heavy precipitation events in the Mediterranean regions is currently limited, partly because of the paucity of water vapor observations assimilated today. An attempt to fill this observational gap is provided by Global Positioning System (GPS) ground station data over Europe that are now routinely processed into observations of Zenith Total Delay (ZTD), which is closely related to the tropospheric water vapor content. We evaluate here the impact of assimilating the GPS ZTD on the high-resolution (2.4-km) nonhydrostatic prediction of rainfall for the heavy precipitation event of 5–9 September 2005 over Southern France. First, we assimilate the GPS ZTD observations in the three-dimensional variational (3DVAR) data assimilation system of the 9.5-km horizontal resolution ALADIN/France hydrostatic model with parameterized convection. This one-month-long assimilation experiment includes the heavy rainfall period. Prior to the assimilation, a GPS ZTD observation preprocessing is carried out for quality control and bias correction. We find that the GPS ZTD observations impact mainly the representation of the humidity in the low to middle troposphere. We then conduct forecast trials with the Meso-NH model, which explicitly resolves the deep convection, using the analyses of the 3DVAR ALADIN/France assimilation experiments as initial and boundary conditions. Our results indicate a benefit of GPS ZTD data assimilation for improving the Meso-NH precipitation forecasts of the heavy rainfall event.


Bulletin of the American Meteorological Society | 2016

Worldwide survey of awareness and needs concerning reanalyses, and respondents views on climate services

H. Gregow; K. Jylhä; H. M. Mäkelä; J. Aalto; Terhikki Manninen; P. Karlsson; A. K. Kaiser-Weiss; Frank Kaspar; Paul Poli; D. G. H. Tan; A. Obregon; Zhongbo Su

AbstractA worldwide online survey about user awareness of reanalyses and climate services was conducted in the period from November 2013 to February 2014 by the Coordinating Earth Observation Data Validation for Re-Analysis for Climate Services (CORE-CLIMAX) project. The 2,578 respondents were mostly users of global reanalyses [particularly the European Centre for Medium-Range Weather Forecasts (ECMWF), National Centers for Environmental Prediction (NCEP), National Aeronautics and Space Administration (NASA), and Japan Meteorological Agency (JMA) reanalyses]. They answered queries arranged in 11 sections by choosing from preprepared check-box responses and left several hundred free comments. Here, we analyze responses related to characteristics of reanalysis data and the perceived obstacles for using reanalysis in climate services. After examining responses from all survey participants, we focus on the answers from subgroups working in specific disciplines related to natural resource management: freshwate...


Geophysical Research Letters | 2016

Benchmarking Northern Hemisphere midlatitude atmospheric synoptic variability in centennial reanalysis and numerical simulations

Alessandro Dell'Aquila; Susanna Corti; A. Weisheimer; Hans Hersbach; Carol Peubey; Paul Poli; Paul Berrisford; Dick Dee; A. J. Simmons

The representation of midlatitude winter atmospheric synoptic variability in centennial reanalysis products, which assimilate surface observations only, and atmospheric model simulations constrained by observation-based data sets is assessed. Midlatitude waves activity in twentieth century reanalyses (20CR, ERA-20C) and atmospheric model simulations are compared with those estimated from observationally complete reanalysis products. All reanalyses are in good agreement regarding the representation of the synoptic variability during the last decades of the twentieth century. This suggests that the assimilation of surface observations can generate high-quality extratropical upper air fields. In the first decades of the twentieth century a suppression of high-frequency variability is apparent in the centennial reanalysis products. This behavior does not have a counterpart in the atmospheric model integrations. Since the latter differ from one of the reanalysis products considered here (ERA-20C) only in the assimilation of surface observations, it seems reasonable to attribute the high-frequency variability suppression to the poor coverage of the observations assimilated.


Bulletin of the American Meteorological Society | 2017

Recent Advances in Satellite Data Rescue

Paul Poli; Dick Dee; Roger Saunders; Viju O. John; Peter Rayer; Jörg Schulz; Kenneth Holmlund; Dorothee Coppens; Dieter Klaes; J. E. Johnson; Asghar E. Esfandiari; Irina Gerasimov; Emily Zamkoff; Atheer Al-Jazrawi; David A. Santek; Mirko Albani; Pascal Brunel; Karsten Fennig; Marc Schröder; Shinya Kobayashi; Dieter Oertel; W. Dohler; D. Spankuch; Stephan Bojinski

AbstractTo better understand the impacts of climate change, environmental monitoring capabilities must be enhanced by deploying additional and more accurate satellite- and ground-based (including in situ) sensors. In addition, reanalysis of observations collected decades ago but long forgotten can unlock precious information about the recent past. Historical, in situ observations mainly cover densely inhabited areas and frequently traveled routes. In contrast, large selections of early meteorological satellite data, waiting to be exploited today, provide information about remote areas unavailable from any other source. When initially collected, these satellite data posed great challenges to transmission and archiving facilities. As a result, data access was limited to the main teams of scientific investigators associated with the instruments. As archive media have aged, so have the mission scientists and other pioneers of satellite meteorology, who sometimes retired in possession of unique and unpublished...


Bulletin of the American Meteorological Society | 2017

An Overview of European Efforts in Generating Climate Data Records

Zhongbo Su; W.J. Timmermans; Yijian Zeng; J. Schulz; V.O. John; R. Roebeling; Paul Poli; D. G. H. Tan; Frank Kaspar; A. K. Kaiser-Weiss; E. Swinnen; C. Tote; H. Gregow; Terhikki Manninen; A. Riihelä; Jean-Christophe Calvet; Yaoming Ma; Jun Wen

AbstractThe Coordinating Earth Observation Data Validation for Reanalysis for Climate Services project (CORE-CLIMAX) aimed to substantiate how Copernicus observations and products can contribute to climate change analyses. CORE-CLIMAX assessed the European capability to provide climate data records (CDRs) of essential climate variables (ECVs), prepared a structured process to derive CDRs, developed a harmonized approach for validating essential climate variable CDRs, identified the integration of CDRs into the reanalysis chain, and formulated a process to compare the results of different reanalysis techniques. With respect to the Copernicus Climate Change Service (C3S), the systematic application and further development of the CORE-CLIMAX system maturity matrix (SMM) and the spinoff application performance metric (APM) were strongly endorsed to be involved in future implementations of C3S. We concluded that many of the current CDRs are not yet sufficiently mature to be used in reanalysis or applied in cli...


Bulletin of the American Meteorological Society | 2018

Observations for Reanalyses

Stefan Brönnimann; Rob Allan; Christopher P. Atkinson; Roberto Buizza; Olga N. Bulygina; Per Dahlgren; Dick Dee; R. J. H. Dunn; Pedro T. Gomes; Viju O. John; Sylvie Jourdain; Leopold Haimberger; Hans Hersbach; John Kennedy; Paul Poli; Jouni Pulliainen; Nick Rayner; Roger Saunders; Jörg Schulz; Alexander Sterin; Alexander Stickler; Holly A. Titchner; Maria Antónia Valente; Clara Ventura; Clive Wilkinson

AbstractGlobal dynamical reanalyses of the atmosphere and ocean fundamentally rely on observations, not just for the assimilation (i.e. for the definition of the state of the Earth-system components), but also in many other steps along the production chain. Observations are used to constrain the model boundary conditions, for the calibration or uncertainty determination of other observations, and for the evaluation of data products. This requires major efforts, including data rescue (for historical observations), data management (including metadatabases), compilation and quality control, and error estimation. The work on observations ideally occurs one cycle ahead of the generation cycle of reanalyses, allowing them to make full use of it. In this paper we describe the activities within ERA-CLIM2, which range from surface, upper-air and Southern Ocean data rescue to satellite data recalibration and from the generation of snow cover products to the development of a global station data metadatabase. The pro...


Bulletin of the American Meteorological Society | 2018

Advancing Global & Regional Reanalyses

Roberto Buizza; Paul Poli; Michel Rixen; Magdalena Alonso-Balmaseda; Michael G. Bosilovich; Stefan Brönnimann; Gilbert P. Compo; Dick Dee; Franco Desiato; Marie Doutriaux-Boucher; Masatomo Fujiwara; A. K. Kaiser-Weiss; Shinya Kobayashi; Zhiquan Liu; Simona Masina; Pierre-Philippe Mathieu; Nick Rayner; Carolin Richter; Sonia I. Seneviratne; A. J. Simmons; Jean-Noël Thépaut; Jeffrey D. Auger; Michel Bechtold; Ellen Berntell; Bo Dong; Michal Kozubek; Khaled Sharif; Christopher Thomas; Semjon Schimanke; Andrea Storto

This report outlines the structure of and summarizes the recommendations made at the 5th International Conference on Reanalysis (ICR5), attended by 259 participants from 37 countries, in Rome (Italy), on 13-17 November 2017. It first summarizes the conference structure. Then, the key recommendations of ICR5 are given for the five main conference topics: production; observations (data rescue and preparation); data assimilation methods; quality assurance of reanalysis; and applications in science, services, and policymaking. Lastly, five high-level recommendations are proposed to managing agencies on how best to advance the field of reanalyses, which serves tens of thousands of users, via enhanced research, development, and operations.


AtlantOS Deliverable, D3.5 . AtlantOS, 49 pp. | 2017

Study of the potential for existing bathythermic string drifters

Pierre Rousselot; Gilles Reverdin; Pierre Blouch; Paul Poli; Felix Janssen

Evaluation report on the use of subsurface temperature buoy data and on their ability to provide suitable measurements in the ocean boundary layer

Collaboration


Dive into the Paul Poli's collaboration.

Top Co-Authors

Avatar

Dick Dee

European Centre for Medium-Range Weather Forecasts

View shared research outputs
Top Co-Authors

Avatar

A. J. Simmons

European Centre for Medium-Range Weather Forecasts

View shared research outputs
Top Co-Authors

Avatar

Paul Berrisford

European Centre for Medium-Range Weather Forecasts

View shared research outputs
Top Co-Authors

Avatar

Hans Hersbach

European Centre for Medium-Range Weather Forecasts

View shared research outputs
Top Co-Authors

Avatar

Shinya Kobayashi

Japan Meteorological Agency

View shared research outputs
Top Co-Authors

Avatar

Joanna Joiner

Goddard Space Flight Center

View shared research outputs
Top Co-Authors

Avatar

David G. H. Tan

European Centre for Medium-Range Weather Forecasts

View shared research outputs
Top Co-Authors

Avatar

Erik Andersson

European Centre for Medium-Range Weather Forecasts

View shared research outputs
Top Co-Authors

Avatar

Sakari M. Uppala

European Centre for Medium-Range Weather Forecasts

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge