Versions Compared


  • This line was added.
  • This line was removed.
  • Formatting was changed.

Table of Contents

Research articles

We have compiled a list of scientific papers, conference presentations and other reports of research using TIGGE data. We survey the literature every year or so to update the list, but we encourage all researchers using TIGGE data to inform us, so that we can publicise your work more quickly via this website.

titleHow to refer to TIGGE in a paper

TIGGE DOI for scientific papers:

Please use the following acknowledgement to refer to TIGGE:
"This work is based on TIGGE data. TIGGE (The Interactive Grand Global Ensemble) is an initiative of the World Weather Research Programme (WWRP).”

Regarding dataset source, please cite:

Related websites

List of websites closely linked to TIGGE:

  • The TIGGE museum, including: verification statistics, forecasts of severe weather, forecasts of the MJO and blocking; sample tools to use TIGGE data.
  • Tropical cyclone forecasting using TIGGE
  • WWRP, THORPEX, and related projects.
  • GEOWOW, GEO and other projects using TIGGE data

User survey


The TIGGE(global) archive consists of global ensemble forecasts from 11 NWP centres, starting from October 2006. The TIGGE-LAM is an extension of TIGGE archive to include ensemble weather forecasts from 7 limited area models (LAM), starting from January 2013. The data can be retrieved directly from the web interface or programmatically via a Web-API. 

To assess the user satisfaction with the TIGGE/TIGGE-LAM archives and the quality of the service provided by ECMWF,  a user survey was issued on 26 November 2018. The invitation was sent to 3,791 users who had registered to access (but not necessarily retrieved) the data. The survey was open for few weeks, during which 10.3% (383) of invitees responded.



The full results of the survey have been published on 1 April 2019. They can be shortly summarised as follows (user percentage):

  • 93% used TIGGE
  • 12% used TIGGE-LAM
  • 17% used TIGGE tropical cyclone tracks (dedicated output in CXML format)

TIGGE/TIGGE-LAM (gridded data) related:

  • overall, 93% generally satisfied or very satisfied with TIGGE/TIGGE-LAM datasets as a research tool
  • 87% at least satisfied with exploring the data via the dedicated web Data Portals
  • 85% at least satisfied with the Web API interface to get the data programmatically
  • 86% (resp.76%) at least satisfied with the (TIGGE resp. TIGGE-LAM) documentation
  • 4.1% ( i.e. 6 users) the highest dissatisfaction in the survey related to getting the data via Web API service
  • almost 50 additional research articles identified (out of 270 in total)

View file

Image Removed

Children Display