Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data Worl...
Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World
About this item
Full title
Author / Creator
Vannitsem, Stéphane , Bremnes, John Bjørnar , Demaeyer, Jonathan , Evans, Gavin R. , Flowerdew, Jonathan , Hemri, Stephan , Lerch, Sebastian , Roberts, Nigel , Theis, Susanne , Atencia, Aitor , Bouallègue, Zied Ben , Bhend, Jonas , Dabernig, Markus , De Cruz, Lesley , Hieta, Leila , Mestre, Olivier , Moret, Lionel , Plenković, Iris Odak , Schmeits, Maurice , Taillardat, Maxime , Van den Bergh, Joris , Van Schaeybroeck, Bert , Whan, Kirien and Ylhaisi, Jussi
Publisher
Boston: American Meteorological Society
Journal title
Language
English
Formats
Publication information
Publisher
Boston: American Meteorological Society
Subjects
More information
Scope and Contents
Contents
Statistical postprocessing techniques are nowadays key components of the forecasting suites in many national meteorological services (NMS), with, for most of them, the objective of correcting the impact of different types of errors on the forecasts. The final aim is to provide optimal, automated, seamless forecasts for end users. Many techniques ar...
Alternative Titles
Full title
Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World
Authors, Artists and Contributors
Author / Creator
Bremnes, John Bjørnar
Demaeyer, Jonathan
Evans, Gavin R.
Flowerdew, Jonathan
Hemri, Stephan
Lerch, Sebastian
Roberts, Nigel
Theis, Susanne
Atencia, Aitor
Bouallègue, Zied Ben
Bhend, Jonas
Dabernig, Markus
De Cruz, Lesley
Hieta, Leila
Mestre, Olivier
Moret, Lionel
Plenković, Iris Odak
Schmeits, Maurice
Taillardat, Maxime
Van den Bergh, Joris
Van Schaeybroeck, Bert
Whan, Kirien
Ylhaisi, Jussi
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_hal_primary_oai_HAL_meteo_03543712v1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_hal_primary_oai_HAL_meteo_03543712v1
Other Identifiers
ISSN
0003-0007
E-ISSN
1520-0477
DOI
10.1175/BAMS-D-19-0308.1
