All Stories

  1. Strengths and Limitations of Statistical and Dynamical Downscaling for the Representation of Compound Dry and Hot Events Over Spain
  2. Apoyo audiovisual en un modelo de aula invertida en las prácticas de Matemáticas en Grados de Ingeniería
  3. CAVA: a user-driven climate service for the assessment of risks in the agriculture sector
  4. Evaluation and projection of hot-dry compound extreme events in a warmer climate
  5. On the use of probabilistic network models to assess spatially compound events in a warmer world
  6. Future of land surface water availability over the Mediterranean basin and North Africa: Analysis and synthesis from the CMIP6 exercise
  7. Extending A Posteriori Random Forests for Multivariate Statistical Downscaling of Climate Change Projections
  8. Assessing Three Perfect Prognosis Methods for Statistical Downscaling of Climate Change Precipitation Scenarios
  9. Bayesian Network-Informed Conditional Random Forests for Probabilistic Multisite Downscaling of Precipitation Occurrence
  10. Juego como recurso didáctico para las matemáticas en la universidad.
  11. On the Benefits of Bias Correction Techniques for Streamflow Simulation in Complex Terrain Catchments: A Case-Study for the Chitral River Basin in Pakistan
  12. Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository
  13. On the Reliability of Global Seasonal Forecasts: Sensitivity to Ensemble Size, Hindcast Length and Region Definition
  14. Downscaling multi-model climate projection ensembles with deep learning (DeepESD): contribution to CORDEX EUR-44
  15. Climate change impacts on irrigated crops in Cambodia
  16. Modelling climate change impacts on wet and dry season rice in Cambodia
  17. 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
  18. Extreme Precipitation on Consecutive Days Occurs More Often in a Warming Climate
  19. A Posteriori Random Forests for Stochastic Downscaling of Precipitation by Predicting Probability Distributions
  20. Assessing the Suitability of A Posteriori Random Forests for Downscaling Climate Change Projections
  21. Downscaling Multi-Model Climate Projection Ensembles with Deep Learning (DeepESD): Contribution to CORDEX EUR-44
  22. Climate Trends and Extremes in the Indus River Basin, Pakistan: Implications for Agricultural Production
  23. Assessing the effect of spatial–temporal droughts on dominant crop yield changes in Central Malawi
  24. Modeling implications of climate induced streamflow changes on the fish species of the Soan River, Pakistan
  25. Impacts of climate change on the streamflow of a large river basin in the Australian tropics using optimally selected climate model outputs
  26. Changes in mean and extreme temperature and precipitation events from different weighted multi-model ensembles over the northern half of Morocco
  27. Climate change impacts on crops in Sri Lanka
  28. Assessing the impact of climate change on wheat and sugarcane with the AquaCrop model along the Indus River Basin, Pakistan
  29. On the suitability of deep convolutional neural networks for continental-wide downscaling of climate change projections
  30. Impacts of Climate Change on the Hydrometeorological Characteristics of the Soan River Basin, Pakistan
  31. Modeling streamflow using multiple precipitation products in a topographically complex catchment
  32. An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets
  33. Statistical downscaling or bias adjustment? A case study involving implausible climate change projections of precipitation in Malawi
  34. How to create an operational multi-model of seasonal forecasts?
  35. Configuration and intercomparison of deep learning neural models for statistical downscaling
  36. Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment
  37. Assessment of Model Drifts in Seasonal Forecasting: Sensitivity to Ensemble Size and Implications for Bias Correction
  38. Assessing Multidomain Overlaps and Grand Ensemble Generation in CORDEX Regional Projections
  39. Statistical adjustment, calibration and downscaling of seasonal forecasts: a case-study for Southeast Asia
  40. Configuration and Intercomparison of Deep Learning Neural Models for Statistical Downscaling
  41. The Weather Roulette: A Game to Communicate the Usefulness of Probabilistic Climate Predictions
  42. Statistical downscaling with the downscaleR package: Contribution to the VALUE intercomparison experiment
  43. The METACLIP semantic provenance framework for climate products
  44. Precipitation From Persistent Extremes is Increasing in Most Regions and Globally
  45. Bias adjustment and ensemble recalibration methods for seasonal forecasting: a comprehensive intercomparison using the C3S dataset
  46. The R-based climate4R open framework for reproducible climate data access and post-processing
  47. Process-conditioned bias correction for seasonal forecasting: a case-study with ENSO in Peru
  48. An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment
  49. The land management tool: Developing a climate service in Southwest UK
  50. An R package to visualize and communicate uncertainty in seasonal climate prediction
  51. Dynamical and statistical downscaling of seasonal temperature forecasts in Europe: Added value for user applications
  52. The ECOMS User Data Gateway: Towards seasonal forecast data provision and research reproducibility in the era of Climate Services
  53. Dynamical and statistical downscaling of a global seasonal hindcast in eastern Africa
  54. Assessing the suitability of statistical downscaling approaches for seasonal forecasting in Senegal
  55. Can bias correction and statistical downscaling methods improve the skill of seasonal precipitation forecasts?
  56. Reassessing Model Uncertainty for Regional Projections of Precipitation with an Ensemble of Statistical Downscaling Methods
  57. Statistical Downscaling in the Tropics Can Be Sensitive to Reanalysis Choice: A Case Study for Precipitation in the Philippines
  58. Precipitation variability and trends in Ghana: An intercomparison of observational and reanalysis products
  59. Validation of 40 year multimodel seasonal precipitation forecasts: The role of ENSO on the global skill
  60. Reassessing Statistical Downscaling Techniques for Their Robust Application under Climate Change Conditions
  61. Seasonal Predictability of Wintertime Precipitation in Europe Using the Snow Advance Index