Markus Dabernig

Atmospheric Science · 2016

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Markus Dabernig trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Adrian E. Raftery
  2. Tilmann Gneiting
  3. Hannes Isaak Reuter
  4. Juha Aalto
  5. Andy Nelson
  6. P. Pirinen

Papers from Markus Dabernig's perspective

Ordered by how strongly the researchers Markus Dabernig trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The Use of Model Output Statistics (MOS) in Objective Weather Forecasting
  2. Using Bayesian Model Averaging to Calibrate Forecast Ensembles
  3. Probabilistic Forecast Calibration Using ECMWF and GFS Ensemble Reforecasts. Part II: Precipitation
  4. Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation
  5. Spatial interpolation of monthly climate data for Finland: comparing the performance of kriging and generalized additive models (Theoretical and Applied Climatology)
  6. An evaluation of void‐filling interpolation methods for SRTM data (International Journal of Geographical Information Science)
  7. Statistical Methods in the Atmospheric Sciences
  8. Decomposition of the Continuous Ranked Probability Score for Ensemble Prediction Systems
  9. Interpretation of Rank Histograms for Verifying Ensemble Forecasts
  10. Evaluating Probabilistic Forecasts Using Information Theory

Their papers