NAME/POSITION

Dr. Cristina Primo Ramos, Scientist.                                                                                                                         

BIOGRAPHY:

06/2017 – Present; Scientist member of the SPATE (“Space-Time Dynamics of Extreme Floods”) project in the mesoscale meteorology and climate department of the Goethe-University Frankfurt, Germany.
04/2016 – 05/2017; Scientist member of the BMVI network of experts in the research and development department of the Deutscher Wetterdiens (DWD), Germany.
10/2009 – 03/2016; Scientist member of the meteorological processes group in the research and development department of the Deutscher Wetterdienst (DWD), Germany.
05/2007 - 09/2009; Consultant in the verification group at the European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, United Kingdom.
01/2006 – 04/2007; Post-doctoral research fellow in the department of meteorology in the University of Reading, U.K. and part of the EU-ENSEMBLES project.
05/2004 – 12/2005; Research assistant in the Physics Institute of Cantabria and in the department of applied mathematics, University of Cantabria-CSIC, Spain.

Previous places of Work: National meteorological institute of Spain (INM); University of Salamanca, Spain.

EDUCATION

2003-2005 Ph.D. in Applied Mathematics, University of Cantabria (Spain).
PhD Thesis: “Finite fluctuation dynamic in spatio-temporal chaos. Application to Weather Forecast Ensemble Prediction Systems”.
2001-2002 MRes in Statistics, University of Salamanca, Spain.
MSc Dissertation: "Simulation of the multivariate asymmetry coefficient in Gaussian populations".
1999-2000 BSc. in Statistics (3 years), University of Salamanca, Spain.
1995-1999 MSc. In Mathematics (4 years), University of Salamanca, Spain.

FIELD OF RESEARCH

My current research focuses on the spatio-temporal characterization of extreme floods in Europe and the North Atlantic region. In particular, I am interested in discovering and understanding the large- and local-scale meteorological triggers of extreme flood events.

During previous years, my research focused on two main topics: I) Different aspects of extreme events: limits of predictability, how to express forecast uncertainty or how to verify extreme forecasts and warnings. I have conducted research on new verification methods and developed software to validate models and predictions. I have also been involved in other related fields like forecast quality and well-calibrated probabilistic forecast of extreme events; II) The spatio-temporal description of error growth in the initial conditions of chaotic systems: I run research on methods to describe this growth and statistical techniques to generate initial perturbations in chaotic systems.

PUBLICATIONS/MASTER THESIS

• Primo C., Kelemen, F.D., Feldmann, H., Ahrens, B., 2019: “A regional atmosphere-ocean climate system model (CCLMv5.0clm7- NEMOv3.3-NEMOv3.6) over Europe including three marginal seas: on its stability and performance”, Geosci. Model Dev., Under revision.
• Kelemen, F.D., C. Primo, H. Feldmann, B. Ahrens, 2019: "Added Value of Atmosphere-Ocean Coupling in a Century-Long Regional Climate Simulation", Atmosphere, 10, 537.
• Tarasova L., Merz R., Kiss A., Basso S., Blöschl G., Merz B., Viglione A., Plötner S., Guse B., Schumann A., Fischer S., Ahrens B., Anwar F., Bardossy A., Bühler P., Haberlandt U., Kreibich H., Krug A., Lun D., Müller-Thomy H., Pidoto R., Primo Ramos C., Seidel J., Vorogushyn S., Wietzke L., 2019: “Causative classification of river flood events”, Wiley Interdisciplinary Reviews: Water. DOI: 10.1002/wat2.1353.
• Primo C., 2016: “Wind gust warning verification”, Advance in Science and Research, 13, 113-120.
• Kipling Z., Primo C. and Charlton-Perez A., 2011: “Spatiotemporal behavior of the TIGGE medium range ensemble forecasts”, Monthly Weather Review, 139, 2561-2571.
• Primo C. and Ghelli A., 2009: “The affect of the base rate on the extreme dependency score”. Meteorological Applications, 16 (4), 533-535.
• Ghelli A. and Primo C., 2009: “On the use of the extreme dependency score to investigate the performance of a NWP model for rare events”. Meteorological Applications, 16 (4), 537-544.
• Primo C., Ferro C.A.T., Jolliffe I.T., Stephenson D.B, 2009: “Calibration of Probabilistic Forecasts of Binary Events”. Monthly Weather Review, 137, 1146–1153.
• Fernández J., Primo C., Cofiño A.S., Gutiérrez J.M, Rodríguez M.A., 2008: “MVL spatiotemporal analysis for model intercomparison in EPS: application to the DEMETER multi-model ensemble”. Climate Dynamics, 33 (2-3), 233-243.
• Gutiérrez J.M., Primo C., Rodríguez M.A., Fernández J., 2008: “Spatiotemporal characterization of ensemble prediction systems. The MVL diagram”. Nonlin. Processes Geophys, 15, 109-114.
• Primo C., Rodríguez M.A., Gutiérrez J.M., 2008: “Logarithmic Bred Vectors. A New Ensemble Method with Adjustable Spread”, Journal of Geophysical Research, 113, D05116.
• Jolliffe I.T., Primo C., 2008: “Evaluating Rank Histograms using Decompositions of the Chi-square Test Statistic”, Monthly Weather Review, 136, 2133-2139.
• Primo C., Szendro I., Rodríguez M.A., Gutiérrez J.M., 2007: “Error Growth Analysis in Systems with Spatial Chaos: Coupled Map Lattices and Global Weather Models", Physical Review Letters,
98, 108501.
• Primo C., Galván A., Sordo C., Gutiérrez J.M, 2007: “Statistical Linguistic Characterization of
Variability in Observed and Stochastic Daily Precipitation Series”. Physica A, 374, 389-402.
• Primo C., Szendro I., Rodríguez M.A., López J.M., 2006: “Dynamic scaling of bred vectors in
spatially extended chaotic systems”. Europhysics Letters, 76 (5), pp. 767-773.
• Gutiérrez J.M., Galván A., Cofiño A.S. and Primo C., 2006: “Chaos Game IFS Characterization of
Temporal Precipitation Variability. Application to Regionalization”, Fractals, Vol 14 (2), 87-99.
• Primo C., Rodríguez M.A., Lopez J.M., Szendro. I., 2005: “Predictability, Bred Vectors and
Generation of Ensembles in Space-time Chaotic systems”, Physical Review E 72, 015201(R).
• Diez E., Primo C., García-Moya J.A., Orfila B., Gutiérrez J.M., 2005: “Statistical and Dynamical
Downscaling of precipitation over Spain from DEMETER Forecast”, Tellus A, 57, 409-423.
• Lopez J.M., Primo C., Rodríguez M.A., Szendro I., 2004: “Scaling Properties of Growing
Noninfinitesimal Perturbations in Space-Time Chaos”, Physical Review E 70, 056224.

CONTACT

Mesoskalige Meteorologie und Klima
Institut für Atmosphäre und Umwelt
Goethe-Universität Frankfurt am Main

Altenhöferallee 1
D-60438 Frankfurt/Main

Raum: 3.232
Tel: +49-(0)69-798-40236
E-mail: primoramos_at_iau.uni-frankfurt.de