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  1. Compound Heatwaves in North Africa: Mechanisms and Model Capabilities

    Article • Earth Systems and Environment, April 2026, Springer Science + Business Media

    Rodrigo Manzanas

  2. Bayesian network-informed conditional random forests for probabilistic multisite downscaling of precipitation occurrence

    Article • Environmental Modelling & Software, April 2026, Elsevier

    Rodrigo Manzanas

  3. An early warning system for flooding risk prevention in estuaries

    Article • March 2026, Copernicus GmbH

    Rodrigo Manzanas

  4. Climate change and compound events: More frequent hot-dry and hot-wet conditions in a warming world

    Article • March 2026, Copernicus GmbH

    Rodrigo Manzanas

  5. Strengths and Limitations of Statistical and Dynamical Downscaling for the Representation of Compound Dry and Hot Events Over Spain

    Article • International Journal of Climatology, November 2025, Wiley

    Rodrigo Manzanas

  6. Apoyo audiovisual en un modelo de aula invertida en las prácticas de Matemáticas en Grados de Ingeniería

    Article • European Public & Social Innovation Review, May 2025, Revista Latina de Comunicacion Social (RLCS)

    Rodrigo Manzanas

  7. CAVA: a user-driven climate service for the assessment of risks in the agriculture sector

    Article • March 2025, Copernicus GmbH

    Rodrigo Manzanas

  8. Evaluation and projection of hot-dry compound extreme events in a warmer climate

    Article • March 2025, Copernicus GmbH

    Rodrigo Manzanas

  9. On the use of probabilistic network models to assess spatially compound events in a warmer world

    Article • January 2025, Copernicus GmbH

    Rodrigo Manzanas

  10. Future of land surface water availability over the Mediterranean basin and North Africa: Analysis and synthesis from the CMIP6 exercise

    Article • Atmospheric Science Letters, July 2023, Wiley

    Rodrigo Manzanas

  11. Extending A Posteriori Random Forests for Multivariate Statistical Downscaling of Climate Change Projections

    Article • May 2023, Copernicus GmbH

    Rodrigo Manzanas

  12. Assessing Three Perfect Prognosis Methods for Statistical Downscaling of Climate Change Precipitation Scenarios

    Article • Geophysical Research Letters, May 2023, American Geophysical Union (AGU)

    Rodrigo Manzanas

  13. Bayesian Network-Informed Conditional Random Forests for Probabilistic Multisite Downscaling of Precipitation Occurrence

    Article • April 2023, Authorea, Inc.

    Rodrigo Manzanas

  14. Juego como recurso didáctico para las matemáticas en la universidad.

    Article • HUMAN REVIEW International Humanities Review / Revista Internacional de Humanidades, December 2022, Eagora Science

    Rodrigo Manzanas

  15. On the Benefits of Bias Correction Techniques for Streamflow Simulation in Complex Terrain Catchments: A Case-Study for the Chitral River Basin in Pakistan

    Article • Hydrology, October 2022, MDPI AG

    Adeyeri Oluwafemi, Rodrigo Manzanas

  16. Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository

    Article • Scientific Data, October 2022, Springer Science + Business Media

    Rodrigo Manzanas

  17. On the Reliability of Global Seasonal Forecasts: Sensitivity to Ensemble Size, Hindcast Length and Region Definition

    Article • Geophysical Research Letters, September 2022, American Geophysical Union (AGU)

    Rodrigo Manzanas

  18. Downscaling multi-model climate projection ensembles with deep learning (DeepESD): contribution to CORDEX EUR-44

    Article • Geoscientific Model Development, September 2022, Copernicus GmbH

    Rodrigo Manzanas

  19. Climate change impacts on irrigated crops in Cambodia

    Article • Agricultural and Forest Meteorology, September 2022, Elsevier

    Rodrigo Manzanas

  20. Modelling climate change impacts on wet and dry season rice in Cambodia

    Article • Journal of Agronomy and Crop Science, July 2022, Wiley

    Rodrigo Manzanas

  21. Estimating changes in air pollutant levels due to COVID-19 lockdown measures based on a business-as-usual prediction scenario using data mining models: A case-study for urban traffic sites in Spain

    Article • The Science of The Total Environment, June 2022, Elsevier

    Rodrigo Manzanas

  22. Extreme Precipitation on Consecutive Days Occurs More Often in a Warming Climate

    Article • Bulletin of the American Meteorological Society, April 2022, American Meteorological Society

    Rodrigo Manzanas

  23. A Posteriori Random Forests for Stochastic Downscaling of Precipitation by Predicting Probability Distributions

    Article • Water Resources Research, March 2022, American Geophysical Union (AGU)

    Rodrigo Manzanas

  24. Assessing the Suitability of A Posteriori Random Forests for Downscaling Climate Change Projections

    Article • March 2022, Copernicus GmbH

    Rodrigo Manzanas

  25. Downscaling Multi-Model Climate Projection Ensembles with Deep Learning (DeepESD): Contribution to CORDEX EUR-44

    Article • March 2022, Copernicus GmbH

    Rodrigo Manzanas

  26. Climate Trends and Extremes in the Indus River Basin, Pakistan: Implications for Agricultural Production

    Article • Atmosphere, February 2022, MDPI AG

    Rodrigo Manzanas

  27. Assessing the effect of spatial–temporal droughts on dominant crop yield changes in Central Malawi

    Article • Environmental Monitoring and Assessment, January 2022, Springer Science + Business Media

    Rodrigo Manzanas

  28. Modeling implications of climate induced streamflow changes on the fish species of the Soan River, Pakistan

    Article • Modeling Earth Systems and Environment, September 2021, Springer Science + Business Media

    Rodrigo Manzanas

  29. Impacts of climate change on the streamflow of a large river basin in the Australian tropics using optimally selected climate model outputs

    Article • Journal of Cleaner Production, September 2021, Elsevier

    Rodrigo Manzanas

  30. Changes in mean and extreme temperature and precipitation events from different weighted multi-model ensembles over the northern half of Morocco

    Article • Climate Dynamics, August 2021, Springer Science + Business Media

    Rodrigo Manzanas

  31. Climate change impacts on crops in Sri Lanka

    Article • July 2021, Food and Agriculture Organization of the United Nations (FAO)

    Rodrigo Manzanas

  32. Assessing the impact of climate change on wheat and sugarcane with the AquaCrop model along the Indus River Basin, Pakistan

    Article • Agricultural Water Management, July 2021, Elsevier

    Rodrigo Manzanas

  33. On the suitability of deep convolutional neural networks for continental-wide downscaling of climate change projections

    Article • Climate Dynamics, June 2021, Springer Science + Business Media

    Rodrigo Manzanas

  34. Impacts of Climate Change on the Hydrometeorological Characteristics of the Soan River Basin, Pakistan

    Article • Atmosphere, June 2021, MDPI AG

    Adeyeri Oluwafemi, Rodrigo Manzanas

  35. Modeling streamflow using multiple precipitation products in a topographically complex catchment

    Article • Modeling Earth Systems and Environment, May 2021, Springer Science + Business Media

    Adeyeri Oluwafemi, Rodrigo Manzanas

  36. An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets

    Article • Earth System Science Data, November 2020, Copernicus GmbH

    Rodrigo Manzanas

  37. Statistical downscaling or bias adjustment? A case study involving implausible climate change projections of precipitation in Malawi

    Article • Climatic Change, October 2020, Springer Science + Business Media

    Rodrigo Manzanas

  38. How to create an operational multi-model of seasonal forecasts?

    Article • Climate Dynamics, June 2020, Springer Science + Business Media

    Rodrigo Manzanas

  39. Configuration and intercomparison of deep learning neural models for statistical downscaling

    Article • Geoscientific Model Development, April 2020, Copernicus GmbH

    Rodrigo Manzanas

  40. Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment

    Article • Geoscientific Model Development, April 2020, Copernicus GmbH

    Rodrigo Manzanas, Joaquín Bedia

  41. Assessment of Model Drifts in Seasonal Forecasting: Sensitivity to Ensemble Size and Implications for Bias Correction

    Article • Journal of Advances in Modeling Earth Systems, March 2020, American Geophysical Union (AGU)

    Rodrigo Manzanas

  42. Assessing Multidomain Overlaps and Grand Ensemble Generation in CORDEX Regional Projections

    Article • Geophysical Research Letters, February 2020, American Geophysical Union (AGU)

    Rodrigo Manzanas

  43. Statistical adjustment, calibration and downscaling of seasonal forecasts: a case-study for Southeast Asia

    Article • Climate Dynamics, February 2020, Springer Science + Business Media

    Rodrigo Manzanas

  44. Configuration and Intercomparison of Deep Learning Neural Models for Statistical Downscaling

    Article • October 2019, Copernicus GmbH

    Rodrigo Manzanas

  45. The Weather Roulette: A Game to Communicate the Usefulness of Probabilistic Climate Predictions

    Article • Bulletin of the American Meteorological Society, October 2019, American Meteorological Society

    Marta Terrado, Rodrigo Manzanas

  46. Statistical downscaling with the downscaleR package: Contribution to the VALUE intercomparison experiment

    Article • September 2019, Copernicus GmbH

    Rodrigo Manzanas

  47. The METACLIP semantic provenance framework for climate products

    Article • Environmental Modelling & Software, September 2019, Elsevier

    Rodrigo Manzanas, Joaquín Bedia

  48. Precipitation From Persistent Extremes is Increasing in Most Regions and Globally

    Article • Geophysical Research Letters, June 2019, American Geophysical Union (AGU)

    Rodrigo Manzanas, Dr Shafiqur Rehman

  49. Bias adjustment and ensemble recalibration methods for seasonal forecasting: a comprehensive intercomparison using the C3S dataset

    Article • Climate Dynamics, February 2019, Springer Science + Business Media

    Rodrigo Manzanas

  50. The R-based climate4R open framework for reproducible climate data access and post-processing

    Article • Environmental Modelling & Software, January 2019, Elsevier

    Rodrigo Manzanas, Joaquín Bedia

  51. Process-conditioned bias correction for seasonal forecasting: a case-study with ENSO in Peru

    Article • Climate Dynamics, May 2018, Springer Science + Business Media

    Rodrigo Manzanas

  52. An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment

    Article • International Journal of Climatology, March 2018, Wiley

    Rodrigo Manzanas

  53. The land management tool: Developing a climate service in Southwest UK

    Article • Climate Services, January 2018, Elsevier

    Rodrigo Manzanas

  54. An R package to visualize and communicate uncertainty in seasonal climate prediction

    Article • Environmental Modelling & Software, January 2018, Elsevier

    Rodrigo Manzanas

  55. Dynamical and statistical downscaling of seasonal temperature forecasts in Europe: Added value for user applications

    Article • Climate Services, January 2018, Elsevier

    Rodrigo Manzanas

  56. The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services

    Article • Climate Services, January 2018, Elsevier

    Rodrigo Manzanas

  57. Dynamical and statistical downscaling of a global seasonal hindcast in eastern Africa

    Article • Climate Services, January 2018, Elsevier

    Rodrigo Manzanas

  58. Assessing the suitability of statistical downscaling approaches for seasonal forecasting in Senegal

    Article • Atmospheric Science Letters, September 2017, Wiley

    Rodrigo Manzanas

  59. Can bias correction and statistical downscaling methods improve the skill of seasonal precipitation forecasts?

    Article • Climate Dynamics, April 2017, Springer Science + Business Media

    Rodrigo Manzanas, Antje Weisheimer

  60. Reassessing Model Uncertainty for Regional Projections of Precipitation with an Ensemble of Statistical Downscaling Methods

    Article • Journal of Climate, January 2017, American Meteorological Society

    Rodrigo Manzanas

  61. Statistical Downscaling in the Tropics Can Be Sensitive to Reanalysis Choice: A Case Study for Precipitation in the Philippines

    Article • Journal of Climate, May 2015, American Meteorological Society

    Rodrigo Manzanas

  62. Precipitation variability and trends in Ghana: An intercomparison of observational and reanalysis products

    Article • Climatic Change, April 2014, Springer Science + Business Media

    Rodrigo Manzanas

  63. Validation of 40 year multimodel seasonal precipitation forecasts: The role of ENSO on the global skill

    Article • Journal of Geophysical Research Atmospheres, February 2014, American Geophysical Union (AGU)

    Rodrigo Manzanas

  64. Reassessing Statistical Downscaling Techniques for Their Robust Application under Climate Change Conditions

    Article • Journal of Climate, January 2013, American Meteorological Society

    Rodrigo Manzanas

  65. Seasonal Predictability of Wintertime Precipitation in Europe Using the Snow Advance Index

    Article • Journal of Climate, June 2012, American Meteorological Society

    Rodrigo Manzanas