Seamless precipitation prediction skill comparison between two global models

Abstract

The prediction of precipitation by two ocean–atmosphere ensemble systems is compared with observations and each other over a broad range of time‐scales. The systems are the 2015 version of the Australian Bureau of Meteorology's Predictive Ocean–Atmosphere Model for Australia (POAMA) with a T47 atmosphere, and the 2011 version of the European Centre for Medium‐range Weather Forecasts' (ECMWF) monthly system with a variable atmospheric resolution of T639 to T319. To facilitate the comparison across a seamless range of time‐scales, verification against observations is performed using data averaged over time windows equal in length to the forecast lead time, from 1 day to 4 weeks. In addition to this ‘actual’ skill, potential skill is computed by taking one ensemble member as truth and computing how well the other members forecast that member.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 11, 2016
Source ID
10.1002/qj.2928

Entities

People

  • Adam Sobel
  • Debra Hudson
  • Fréderic Vitart
  • Hongyan Zhu
  • Matthew C. Wheeler

Organizations

  • Bureau of Meteorology
  • Columbia University
  • European Centre for Medium-Range Weather Forecasts
  • Office of Naval Research

Tags

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • European Security and Defence Policy (ESDP).
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers