Rodrigo García Manzanas – Curriculum Vitae

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Rodrigo García Manzanas Curriculum Vitae

Personal Data Date and 30/August/1983, Oviedo (Spain). Place of Birth Email [email protected].

ORCID http://orcid.org/0000-0002-0001-3448. webpage Education September PhD Programme in Science, Technology and Computation, University of 2016 Cantabria, Santander (Spain). PhD thesis: Statistical downscaling of precipitation in seasonal forecasting: Advan- tages and limitations of diﬀerent approaches, http: // meteo. unican. es/ en/ theses/ rmanzanas . Extraordinary Award from the University of Cantabria to the best PhD Thesis in Sciences in 2016. Extraordinary Award from the Social Council of the University of Cantabria. October 2012 Master in Mathematics and Computer Science, University of Cantabria, San- tander (Spain). Master thesis: Ajuste de modelos lineales generalizados para su aplicación a la regional- ización de precipitación (Adjustment of generalized linear models for statistical downscaling of precipitation), http: // meteo. unican. es/ en/ theses/ rmanzanas_ master . February Five-year degree in Physics, University of Salamanca, Salamanca (Spain). 2008 Specialization: Atmospheric Physics and Meteorology.

1/10 Professional Experience Participation in competitive R&D projects March Position: Science oﬃcer, Intergovernmental Panel on Climate Change (IPCC), 2019–present Working Group I, Université Paris-Saclay (France).

January 2018– Position: Researcher, National Spanish Council for Research (CSIC), Institute of February Physics of Cantabria (IFCA), Santander (Spain). 2019 Project: Enhancing Food Security in AFRIcan AgriCULTUral Systems with the Support of REmote Sensing (AfriCultuReS). Funding institution: European Commission. Main achievements: Calibration and quality assessment of seasonal predictions for Africa. Research on seasonal predictability sources for Africa. January 2017– Position: Researcher, National Spanish Council for Research (CSIC), Institute of December Physics of Cantabria (IFCA), Santander (Spain). 2017 Project: Quality Assessment Strategies for Multi-model Seasonal Forecasts (QA4Seas). Funding institution: European Commission. Main achievements: Calibration and quality assessment of seasonal predictions. Development of software tools with a special focus on the reproducibility of results and the provision of adequate provenance information for diﬀerent climate products (climate4R and METACLIP). October Position: R&D manager and researcher, Predictia Intelligent Data Solutions, 2014– Avda. los Castros s/n, Ediﬁcio I+D+i, S345, Santander (Spain). December Main achievements: 2016 Development of statistical downscaling techniques for practical applications in seasonal forecasting, with a focus on market possibilities. Research towards the development of climate services. May 2013– Position: Researcher, University of Cantabria, Santander (Spain). September Project: EUropean Provision Of Regional Impact Assessment on a Seasonal-to-decadal 2014 timescale (EUPORIAS). Funding institution: European Commission (through grant agreement 308291). Main achievements: Study of the drift in seasonal forecasts. Provision of bias-corrected data. Statistical downscaling of climate surface variables in East Africa. Assessment of the skill of the downscaled seasonal predictions. August Position: Researcher, National Spanish Council for Research (CSIC), Institute of 2010–April Physics of Cantabria (IFCA), Santander (Spain). 2013 Project: Quantifying Weather and Climate Impacts on Health in Developing Countries (QWeCI). Funding institution: European Commission (through grant agreement 243964). Main achievements: Assessment of the skill of seasonal precipitation forecasts worldwide. Analysis of the role of ENSO on the skill of global seasonal forecasts. Development of the QWeCI statistical downscaling portal, open to partners with an initial set of statistical-based seasonal predictions (in user-friendly formats) with documentation and support on good practices of use. Provision of downscaled and calibrated seamless seasonal forecasts in Africa (Senegal, Ghana and Malawi), with uncertainty estimations.

2/10 Participation in other contracts, agreements or R&D projects November Position: International consultant for FAO (UN), Philippine Atmospheric Geo- 2017–March physical and Astronomical Services Administration (PAGASA), Manila (Philippines). 2018 Project: Enhanced Production and Risk Management in Agriculture Decision Support System (EPRiMA). Funding institutions: Food and Agriculture Organization of the United Nations (FAO). Main achievements: Training of PAGASA’s staff on the interpretation, access, manipulation and validation of seasonal climate forecasts. Delivery of statistically downscaled seasonal climate forecasts for the Philippines. July 2004– Position: International consultant for FAO (UN), Peruvian National Service September for Meteorology and Hydrology (SENMAHI), Lima (Perú). 2014 Project: Analysis and Mapping of Impacts under Climate Change for Adaptation and Food Security (AMICAF). Funding institutions: Japanese Ministry of Agriculture and the Food and Agriculture Organization of the United Nations (FAO). Main achievements: Training of SENAMHI’s staff on the application of statistical techniques for climate analysis and downscaling. Generation of statistically downscaled climate change scenarios of precipitation and temperature for Peru. Scholar fellowships March Position: Researcher, University of Cantabria, Santander (Spain). 2010–July Project: Forest fires under climate, social and economic changes in Europe, the Mediter- 2010 ranean and other fire-affected areas of the world (FUME). Funding institution: European Commission. January 2009– Position: Researcher, University of Cantabria, Santander (Spain). December Project: Escenarios regionales de cambio climático en Cantabria. Funding institution: 2009 Gobierno de Cantabria. Languages Spanish Native. English Fluent. Official certificate EOI: C1 level. Italian Fluent. Official certificate PLIDA: C1 level. French Basic. Computer skills Programming Matlab (advanced), R (ad- languages vanced), Python (basic). Collaborative Git, GitHub, Jupyter. tools for open-source software development Miscellaneous SVN, Latex, Office, Illustrator, etc.

3/10 Attended courses and workshops September Summer school ‘Climate impacts modeling for developing countries: Water, 2011 agriculture and health’, The Abdus Salam International Centre for Theoretical Physics, Trieste (Italy). January 2009 UK-India workshop ‘Downscaling and linking to applications’, University of East Anglia, Norwich (UK). Given courses and workshops September Summer school ‘Big data and climate services’, University of Cantabria, Suances 2017 (Spain). Invited lecture ‘Climate services: A challenge por big data” April 2017 Training on statistical downscaling of climate change projections in Paraguay, Asunción (Paraguay). International consultancy for FAO (UN)-Paraguay March 2017 Training on statistical downscaling of climate change projections in Uruguay, Montevideo (Uruguay). International consultancy for FAO (UN)-Uruguay March 2017 Training on statistical downscaling of climate change projections in Indone- sia, Bogor (Indonesia). International consultancy for FAO (UN)-Indonesia August 2016 Training on statistical downscaling of climate change projections in Zambia, Lusaka (Zambia). International consultancy for FAO (UN)-Zambia December Training on statistical downscaling of climate change projections in Malawi, 2015 Blantyre (Malawi). International consultancy for FAO (UN)-Zambia August 2011 Training on the use of the Data Access and Statistical Downscaling portals developed at the University of Cantabria, Joint AAP/WMO/ACMAD Workshop for Western, Central and North African Countries on the Generation of Climate Products to Support Long-term Adaptation Planning, Accra (Ghana). Lectures 2018-2019 Associate professor, Calculus II, University of Cantabria (Department of Applied Mathematics and Computer Science), Santander (Spain). 2018-2019 Master in Data Science, Introduction to big data and open science, Data mining, Machine Learning I, UIMP-University of Cantabria, Santander (Spain). 2017-2018 Master in Data Science, Data mining, UIMP-University of Cantabria, Santander (Spain). PhD thesis judged

4/10 July 2018 PhD Programme in Civil Engineering, University of Cantabria, Santander (Spain). José Antonio Álvarez Antolínez PhD thesis: Morphodynamic coastal evolution in a changing climate. Papers reviewed for International journals, Atmospheric Science Letters, Net Journal of Agricultural Science, Quarterly Journal of the Royal Meteorological Society, PLoS ONE, Climate Dynamics, International Journal of Climatology, Climate Services, Oxford Research Encyclopedia of Climate Science, Asia-Paciﬁc Journal of Atmospheric Sciences.

Contributions to software development climate4R R-based framework (http://www.meteo.unican.es/climate4R) for transparent climate data access, post-processing (including bias correction and downscaling) and visualization. climate4R is based on the following main packages: loadeR: Climate data access (either locally or remotely from OPenDAP servers) in a user-transparent way building on NetCDF Java. transformeR: Climate data manipulation and transformation including subsetting, regrid- ding, and data conversion. downscaleR: Empirical-statistical downscaling with the most popular approaches (bias correction, Model Output Statistics, Perfect Prognosis) and techniques. visualizeR: Climate data visualization, with special focus on ensemble forecasting and uncertainty communication. calibratoR R-package for calibration of seasonal forecasts (http://github.com/ SantanderMetGroup/calibratoR). METACLIP Language-independent framework envisaged to tackle the problem of cli- (METAdata mate product provenance description (http://www.metaclip.org). for CLImate METACLIP is based on semantics exploiting the web standard Resource Description Frame- Products) work (RDF), building on domain-specific extensions of standard vocabularies (e.g. PROV-O) describing the different aspects involved in climate product generation. The METACLIP Interpreter, a web-based interactive front-end for metadata visualization helps a diversity of users with different levels of expertise to trace and understand the provenance of a wide variety of climate data products, and to fully reproduce them. Statistical Web-based application for easy-friendly statistical downscaling of regional Downscaling climate change scenarios (http://www.meteo.unican.es/downscaling). Portal (SDP) The SDP from the University of Cantabria allows end-users to downscale the coarse outputs from global climate models in the region of interest (using historical observed records) by means of a wide range of statistical techniques. MeteoLab Open-source Matlab toolbox for statistical (data mining) analysis in meteorology (http://www.meteo.unican.es/es/software/meteolab).

Awards

5/10 Extraordinary Award from the University of Cantabria, to the best PhD Thesis in sciences in 2016.

Extraordinary Award from the Social Council of the University of Cantabria.

Contributions to congresses and workshops 19 Mar 2019 Case studies in the Copernicus Atmosphere Monitoring Service (CAMS), Workshop on Copernicus climate change and atmosphere monitoring services, San- tander (Spain), Invited talk. R. Manzanas 17 Jan 2019 Seasonal climate forecast multi-model combination and skill assessment, 2nd SECLI-Firm Stakeholder Workshop on Energy Wind Production, Milan (Italy), In- vited talk. F. J. Doblas-Reyes, R. Manzanas, J. M. Gutiérrez, S. Hemri, J. Bhend, N. González- Reviriego, I. Jiménez, L. Lledó, R. Marcos, A. Soret, M. Terrado and V. Torralba 20 Sep 2018 Process-conditioned bias correction for seasonal forecasting: A case-study with ENSO in Peru, 8th International Workshop in Climate Informatics, Boulder (USA), Poster. J. M. Gutiérrez, J. Bedia, M. Iturbide, S. Herrera, R. Manzanas, J. Baño-Medina, M. D. Frías, D. San-Martín, J. Fernández and A. S. Cofiño 14 May 2018 Process-conditioned bias correction for seasonal forecasting: A case-study with ENSO in Peru, 2nd Workshop on Bias Correction in Climate Studies, San- tander (Spain), Oral. R. Manzanas and J. M. Gutiérrez 14 May 2018 DownscaleR: An R-based package for statistical downscaling and bias correction within the climate4R framework, 2nd Workshop on Bias Correction in Climate Studies, Santander (Spain), Poster. M. Iturbide, J. Bedia, S. Herrera, J. Baño-Medina, R. Manzanas and J. M. Gutiérrez 6 Oct 2016 Downscaling tools for adapting climate predictions to the user’s needs: Chal- lenges for their integration into climate services, International Conference on Climate Science and Climate Services, Exeter (UK), Invited talk. J. Bedia, A. S. Cofiño, J. M. Gutiérrez, J. Fernández, S. Herrera, R. Manzanas, M. Vega, M. Iturbide and M. E. Magariño 6 Oct 2016 Advantages and limitations of different statistical downscaling approaches for seasonal forecasting, International Conference on Climate Science and Climate Services, Exeter (UK), Invited talk. R. Manzanas, J. M. Gutiérrez and A. Weisheimer 4 Oct 2016 Can bias correction methods improve the accuracy and reliability of seasonal forecasts?, Berlin-Workshop on Bias Correction in Climate Studies, Berlin (Ger- many), Oral. J. M. Gutiérrez and R. Manzanas.

6/10 20 Apr 2016 ECOMS-UDG. A user-friendly data access gateway to seasonal forecast datasets allowing R-based remote data access, visualization-validation, bias correction and downscaling, European Geosciences Union (EGU) General Assem- bly 2016, Vienna (Austria), Poster. A. S. Coﬁño, J. M. Gutiérrez, J. Fernández, J. Bedia, M. Vega, S. Herrera, M. D. Frías, M. Iturbide, M. E. Magariño and R. Manzanas. 8 Apr 2016 Statistically downscaled projected climate in the Philippines (2020-2079), International Symposium on Tropical Meteorology and Marine Science and Tech- nology, Guangzhou (China), Oral. J. Basconcillo, A. Lucero, A. Solís, H. Kanamaru, R. Manzanas, F. Hilario, E. Juanillo, J. Ruiz, G. A. Durán, T. Koizumi, E. Bautista and R. Jr. Sandoval. 19 Dec 2014 Sensitivity of statistical downscaling techniques to reanalysis choice and implications for regional climate change scenarios, 2014 American Geophysical Union (AGU) Fall Meeting, San Francisco (USA), Oral. R. Manzanas, S. Brands, D. San-Martín, A. Lucero, C. Limbo and J. M. Gutiérrez. 2 Oct 2014 SPECS-PREFACE workshop on initial shock, drift and systematic error, Cli- mate Prediction Task Force virtual workshop bias corrections in subseasonal to interannual predictions, Invited talk. F. J. Doblas-Reyes, E. Sánchez-Gómez, N. Fuckar, C. Prodhomme, D. Volpi, R. Weber, H. Pohlmann, T. Losada, E. Mohino, B. Rodríguez-Fonseca, T. Demissie, T. Toniazzo, R. Manzanas and J. Shonk. 2 May 2014 Assessing the drift of seasonal forecasts, European Geosciences Union (EGU) General Assembly 2014, Vienna (Austria), Poster. R. Manzanas, J. Fernández, M. E. Magariño, J. M. Gutiérrez, F. J. Doblas-Reyes, G. Nikulin and C. Buontempo. 26 October Seasonal predictability of wintertime insolation and wind speed on the 2012 Iberian Peninsula using the Snow Advance Index, 8◦ Congreso Internacional de la Asociación Española de Climatología (AEC), Salamanca (Spain), Poster. S. Brands, R. Manzanas, S. Herrera and J. M. Gutiérrez. 25 October A critical reassessment of statistical downscaling techniques under climate 2012 change conditions in Spain: Accuracy, distributional similarity and robustness, 8◦ Congreso Internacional de la Asociación Española de Climatología (AEC), Salamanca (Spain), Poster. R. Manzanas, J. M. Gutiérrez, D. San Martín, S. Brands and S. Herrera. 10 October Assessing the robustness of statistical downscaling techniques for their appli- 2012 cation under climate change conditions, 12th Annual Meeting of the European Meteorological Society (EMS) and the 9th European Conference on Applied Clima- tology (ECAC), Lodz (Poland), Oral. R. Manzanas, J. M. Gutiérrez, D. San Martín, S. Brands and S. Herrera. 10 October Seasonal predictability of wintertime precipitation in Europe using the Snow 2012 Advance Index, 12th Annual Meeting of the European Meteorological Society (EMS) and the 9th European Conference on Applied Climatology (ECAC), Lodz (Poland), Oral. S. Brands, R. Manzanas, J. M. Gutiérrez and J. Cohen.

7/10 22 August Beyond ENSEMBLES: Data Access and Statistical Downscaling Portals, 2011 Joint AAP/WMO/ACMAD Workshop for Western, Central and North African Countries on the Generation of Climate Products to Support Long-term Adap- tation Planning, Accra (Ghana), Invited talk. R. Manzanas, A. S. Cofiño, D. San Martín, J. M. Gutiérrez, J. Fernández and S. Herrera. 11 May 2011 The ENSEMBLES Downscaling Portal. Beyond the ENSEMBLES project, 9th Global Organization for Earth System Science Portals (GO-ESSP) Workshop, Asheville (USA), Oral. A. S. Cofiño, D. San Martín, S. Brands, J. M. Gutiérrez, J. Fernández, S. Herrera and R. Manzanas. 13 October ENSO-driven predictability of tropical dry autumns using the seasonal EN- 2010 SEMBLES multimodel, 10th Annual Meeting of the European Meteorological Society (EMS) and the 8th European Conference on Applied Climatology (ECAC), Zurich (Switzerland), Oral. R. Manzanas, J. M. Gutiérrez, A. S. Cofiño and M. D. Frías. 26 May 2010 Predictability of monthly European precipitation and temperature based on ENSO-NAO interactions, ESF-MedCLIVAR Workshop on ‘Hydrological, socioe- conomic and ecological impacts of the North Atlantic Oscillation in the Mediter- ranean region’, Zaragoza (Spain), Oral. R. Manzanas, J. M. Gutiérrez, M. D. Frías and A. S. Cofiño. 3 May 2010 ENSO-driven skill of ENSEMBLES STREAM 2 multimodel seasonal precipitation hindcasts over the globe, European Geosciences Union (EGU) General Assembly 2010, Vienna (Austria), Oral. R. Manzanas, J. M. Gutiérrez, A. S. Cofiño and M. D. Frías. Publications • R. Manzanas, J. M. Gutiérrez, J. Bhend, S. Hemri, F. J. Doblas-Reyes, V. Torralba, E. Penabad, A. Brookshaw Bias adjustment and ensemble recalibration methods for seasonal forecasting: A comprehensive intercomparison using the C3S dataset Climate Dynamics, 2019, doi: 10.1007/s00382-019-04640-4 • M. Iturbide, J. Bedia, S. Herrera, J. Baño-Medina, J. Fernández, M. D. Frías, R. Manzanas, D. San-Martín, E. Cimadevilla, A. S. Cofiño and J. M. Gutiérrez The R-based ‘climate4R’ open framework for reproducible climate data access and post-processing Environmental Modelling & Software, 111:42–54. 2019, doi: 10.1016/j.envsoft.2018.09.009 • J. M. Gutiérrez, J. Bedia, M. Iturbide, S. Herrera, R. Manzanas, J. Baño-Medina, M. D. Frías, D. San-Martín, J. Fernández and A. S. Cofiño Climate research reproducibility with the ‘climate4R’ R-based framework in Proceedings of the 8th International Workshop on Climate Informatics 2018 (CI2018). NCAR Technical Note NCAR/TN-550+PROC, 2018, doi: 10.5065/D6BZ64XQ • R. Manzanas and J. M. Gutiérrez. Process-conditioned bias correction for seasonal forecasting: A case-study with ENSO in Peru Climate Dynamics, 52(3-4):1673–1683, 2018, doi: 10.1007/s00382-018-4226-z.

8/10 • J. M. Gutiérrez, D. Maraun, M. Widmann, R. Huth, E. Hertig, R. Benestad, O. Roessler, J. Wibig, R. Wilcke, S. Kotlarski, D. San Martín, S. Herrera, J. Bedia, A. Casanueva, R. Manzanas, M. Iturbide, M. Vrac, M. Dubrovsky, J. Ribalaygua, J. Pórtoles, O. Räty, J. Räisänen, B. Hingray, D. Raynaud, M. J. Casado, P. Ramos, T. Zerenner, M. Turco, T. Bosshard, P. Štěpánek, J. Bartholy, R. Pongracz, D. E. Keller, A. M. Fischer, R. M. Cardoso, P. M. M. Soares, B. Czernecki and C. Pagé An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation ex- periment International Journal of Climatology, 1–36, 2018, doi: 10.1002/joc.5462 • G. Nikulin, S. Asharaf, M. E. Magariño, S. Calmanti, R. M. Cardoso, J. Bhend, J. Fernández, M. D. Frías, K. Fröhlich, B. Früh, S. Herrera, R. Manzanas, J. M. Gutiérrez, U. Hansson, M. Kolax, M. A. Liniger, P. M. M. Soares, C. Spirig and K. Wyser. Dynamical and statistical downscaling of a global seasonal hindcast in eastern Africa Climate Services, 9:72–85, 2018, doi: 10.1016/j.cliser.2017.11.003 • M. D. Frías, M. Iturbide, R. Manzanas, J. Bedia, J. Fernández, S. Herrea, A. S. Cofiño and J. M. Gutiérrez. An R-package to visualize and communicate uncertainty in seasonal climate prediction. Environmental Modelling & Software, 99:101–110, 2018, doi: 10.1016/j.envsoft.2017.09.008 • P. Falloon, M. B. Soares, R. Manzanas, D. San-Martín, F. Liggins, I. Taylor, R. Kahana, J. Wilding, C. Jones, R. Comer, E. De Vreede, W. S. de Cerff, C. Buontempo, A. Brookshaw, S. Stanley, R. Middleham, D. Pittams, E. Lawrence, E. Bate, H. Peter, K. Uzell and M. Richards. The Land Management Tool: developing a climate service in Southwest UK. Climate Services, 9:86-100, 2018, doi: 10.1016/j.cliser.2017.08.002 • A. S. Cofiño, J. Bedia, M. Iturbide, M. Vega, S. Herrera, J. Fernández, M. D. Frías, R. Manzanas and J. M. Gutiérrez. The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of climate services. Climate Services, 9:33-43, 2018, doi: 10.1016/j.cliser.2017.07.001. • R. Manzanas, J. M. Gutiérrez, J. Fernández, E. van Meijgaard, S. Calmanti, M. E. Magariño, A. S. Cofiño and S. Herrera. Dynamical and statistical downscaling of seasonal temperature forecasts in Europe: Added value for user applications. Climate Services, 9:44-56, 2018, doi: 10.1016/j.cliser.2017.06.004. • R. Manzanas, A. Lucero, A. Weisheimer and J. M. Gutiérrez. Can bias correction and statistical downscaling methods improve the skill of seasonal precipitation forecasts? Climate Dynamics, 50(3-4):1161-1176, 2018, doi: 10.1007/s00382-017-3668-z. • J. Fernández, A. Casanueva, J. P. Montávez, M. A. Gaertner, M. J. Casado, R. Manzanas and J. M. Gutiérrez. Regional climate projections over Spain: Atmosphere. Future climate projections. CLIVAR exchanges 73: Special issue on climate over the Iberian Peninsula: An overview of CLIVAR-Spain coordinated science, 2017, URL: http://www.clivar.org/documents/exchanges-73 • R. Manzanas. Assessing the suitability of statistical downscaling approaches for seasonal forecasting in Senegal. Atmospheric Science Letters, 18(9):381–386, 2017, doi: 10.1002/asl.767

9/10 • D. San Martín, R. Manzanas, S. Brands, S. Herrera and J. M. Gutiérrez. Reassessing model uncertainty for regional projections of precipitation with an ensemble of statistical downscaling methods. Journal of Climate, 30(1):203– 223, 2017, doi: 10.1175/JCLI-D-16-0366.1. • R. Manzanas, S. Brands, D. San Martín, A. Lucero, C. Limbo and J. M. Gutiérrez. Statistical downscaling in the Tropics can be sensitive to reanalysis choice: A case study for precipitation in the Philippines. Journal of Climate, 28(10):4171– 4184, 2015, doi: 10.1175/JCLI-D-14-00331.1. • R. Manzanas, L. K. Amekudzi, K. Preko, S. Herrera and J. M. Gutiérrez. Precipitation variability and trends in Ghana: An intercomparison of obser- vational and reanalysis products. Climatic Change, 124(4):805–819, 2014, doi: 10.1007/s10584-014-1100-9. • R. Manzanas, M. D. Frías, A. S. Coﬁño and J. M. Gutiérrez. Validation of 40 year multimodel seasonal precipitation forecasts: The role of ENSO on the global skill. Journal of Geophysical Research: Atmospheres, 119(4):1708–1719, 2014, doi: 10.1002/2013JD020680. • J. M. Gutiérrez, D. San Martín, S. Brands, R. Manzanas and S. Herrera. Reassessing statistical downscaling techniques for their robust application under climate change conditions. Journal of Climate, 26(1):171–188, 2013, doi: 10.1175/JCLI-D-11-00687.1. • S. Brands, R. Manzanas, J. M. Gutiérrez and J. Cohen. Seasonal predictability of wintertime precipitation in Europe using the Snow Advance Index. Journal of Climate, 25(12):4023–4028, 2012, doi: 10.1175/JCLI-D-12-00083.1.

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