This workshop will take place in Santander from the 14th (afternoon) to the 16th (morning) of May 2018.

Book of abstracts

Monday 14th

  • 13:00 – 13:30 Registration and in-site lunch
  • 13:30 – 14:00 Welcome and info
    Afternoon Session (seasonal and decadal timescales)
  • 14:00 – 14:35 Invited: Bias adjustment of climate predictions in a climate service context (Francisco Doblas-Reyes)
  • 14:35 – 14:55 Process-conditioned bias correction for seasonal forecasting: A case-study with ENSO in Peru (Rodrigo Manzanas)
  • 14:55 – 15:15 Reduction of model precipitation bias and impact on summer prediction skill (Constantin Ardilouze)
  • 15:15 – 15:35 Seasonal Forecasts from the Copernicus Climate Change Service (Eduardo Penabad)
  • 15:35 – 16:05 Coffee Break
  • 16:05 – 16:40 Invited: Re-calibration of long-range forecasts (Jonas Bhend)
  • 16:40 – 17:00 Evaluation of re-calibrated decadal hindcast using a common verification framework (Jens Grieger)
  • 17:00 – 17:20 The ADAMONT method for statistical adjustment of climate projections and seasonal-to-decadal predictions applicable to energy balance land surface models (Deborah Verfaillie)
  • 17:30 – 18:30 Beer (or wine) and posters (see the full list below).
  • 20:00 Social diner (Santander downtown)
Tuesday 15th
    Morning session (Methods and ongoing initiatives)
  • 9:00 – 9:35 Invited: Thoughts on a conditional, process-oriented approach to bias correction (Ted Shepherd)
  • 9:35 – 9:55 Two types of physical inconsistency to avoid in climate services: Lessons learned from the application of univariate quantile mapping to humidity variables (Patrick Grenier)
  • 9:55 – 10:15 Why does intensity-dependent bias correction modify the climate change signal? (Martin Ivanov)
  • 10:15 – 10:35 A trend adjusting bias correction of climate simulations using RQM (Christian Passow)
  • 10:35- 11:00 Coffee Break
  • 11:00 – 11:30 An overview of the COPERNICUS Sectoral Information System (Carlo Buontempo)
  • 11:30 – Bias Correction Intercomparison Project: Applying an ensemble of bias-adjustment methods (Grigory Nikulin)
  • 12:00 – 13:00 RoundTable: Ongoing BC-ESD intercomparison initiatives (Jose M. Gutiérrez, Mathieu Vrac).
  • 13:00 – 14:00 In-site Lunch
    Afternoon Session (Methods and new developments)
  • 14:00 – 14:35 Invited: Applications of a high-resolution bias-corrected climate projection ensemble and related science questions (Robert Vautard)
  • 14:35 – 14:55 Percentile adjustment function: Application to direct and component-wise bias correction of a multi-variate climate index (Jesús Fernández)
  • 14:55 – 15:15 A process-informed statistical framework for the spatial distribution and intensity of orographic precipitation (Paola Marson)
  • 15:15 – 15:35 Stochastic downscaling of precipitation: A simple method to adjust the fine-scale precipitation climatology (Silvia Terzago)
  • 15:35 – 16:30 Coffee Break and posters
  • 16:30 – 17:05 Invited: Towards a stochastic Model Output Statistics emulator for convection-permitting climate simulations of short-duration precipitation: Application to the CanRCM4 Large Ensemble (Alex Cannon)
  • 17:05 – 17:25 Rank Resampling for Distributions and Dependences (R2D2) Bias Correction: Multivariate adjustment of high-dimensional climate simulations (M. Vrac)
  • 17:25 – 17:45 Multivariate stochastic bias corrections with optimal transport (Yoann Robin)
  • 17:45 – 18:15 Invited: Bias Adjustment in the frequency domain (Ashish Sharma)
Wednesday 16th
    Morning session (Applications)
  • 9:00 – 9:35 Invited: Bias of climate model outputs: Implications for climate change impact and adaptation assessment in agriculture (Margarita Ruiz-Ramos)
  • 9:35 – 10:10 Invited: A study of Climate Change Impact on Crop Yields in West Africa: the role of bias correction and future applications of multivariate state-of-the-art methods (Claudio Piani)
  • 10:10 – 10:30 Bias-adjustment for an agro-ecosystem project in Hungary (Péter Szabó)
  • 10:30 – 10:50 Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset (Stefan Lange)
  • 10:50- 11:20 Coffee Break
  • 11:20 – 11:40 Challenges in the bias correction of a multi-variate index under climate change conditions (Ana Casanueva)
  • 11:40 – 12:00 Evaluation of various bias correction methods for Mediterranean cities climate projections: Results from the URBANPROOF project (Konstantinos Varotsos)
  • 12:30 Bus to Bilbao airport: Expected arrival to Bilbao airport at 14:00.

Poster Session:
  • P1: Seasonal forecast via dynamical systems and bias correction techniques (M.C. Alvarez-Castro)
  • P2: A stochastic in-run bias correction method for seasonal predictions (L. Batté)
  • P3: Model selection for DeFoReSt: A strategy for recalibrating decadal predictions (A. Pasternack)
  • P4: DownscaleR: An R-based package for statistical downscaling and bias correction within the climate4R framework (M. Iturbide)
  • P5: Downscaling and bias correction for the new CH2018 Swiss climate scenarios (S. Kotlarski)
  • P6: Bias Correction approaches to assess future variations in IDF curves for the city of Naples (V. Villani)
  • P7: A Perfect Model Approach to assess the statistical downscaling skills using CDFt over Corsica (H. Omrani)
  • P8: Bivariate bias correction of monthly temperature and precipitation from regional climate models (R. Sokol Jurkovic)
  • P9: Impact of bias correction methods on climate downscaled projections over the Pyrenees (P. Amblar-Frnacés)
  • P10: A proposal for a bias correction metadata model in the framework of METACLIP (METAdata for CLImate Products) (J. Bedia; PREDICTIA Intelligent Data Solutions)
  • P11: Bias adjustment of projections and predictions as a climate service (H. Loukos; the climate data factory)