To dissect the effects of many weather and climate factors on last summer’s Texas heat wave, Hoerling and his colleagues drew on diverse tools: weather records, long historical simulations of weather patterns over the globe from sophisticated climate models and weather forecast models set with the particular conditions leading up to the summer of 2011.

Observational Datasets

Model Datasets

Table 1. Summary of the climate simulations, predictions, and projections diagnosed in the current paper, including the nature of their external and boundary forcings, the length of integrations, and the available ensemble size.

Type Model Radiative Forcing SST,Sea Ice Duration
(Target time)
Ensemble Members
Pre-industrial simulation CMIP5 Pre-industrial Coupled > 500 years 1 run each for 19 models
Historical simulation GFSv2 Observed CO2 Observed (AMIP) 1950-2010 12
Event simulation GFSv2* Observed CO2 Observed (AMIP) Oct. 2009 - Sep. 2011 80
Historical simulation CMIP5 Observed(see text) Coupled 1880-2005 1 run each for 20 models
Projection CMIP5 RCP 4.5 (see text) Coupled 2006-2016 1 run each for 20 models
Forecast
(0-lead)
CFSv1 1988 CO2 Coupled June 01 - August 31, 2011 120 (initialized every 6 hours)
Hindcast
(0-lead)
CFSv1 1988 CO2 Coupled June 01 - August 31, 1981-2009 15 (initialized once daily, staggered every 2 days)
Forecast
(0-lead)
CFSv2 Observed & projected CO2 Coupled June 01 - August 31, 2011 120 (initialized every 6 hours)
Hindcast
(0-lead)
CFSv2 Observed CO2 Coupled June 01 - August 31, 1982-2010 24 (initialized every 6 hours, staggered every 5 days)

 * Anomaly calculated relative to a 1981-2010 GFSv2 AMIP set having same CO2 as the 2011 run