Journal article
Complete spatial model calibration
The annals of applied statistics, Vol.13(2), pp.746-766
06/01/2019
DOI: 10.1214/18-AOAS1219
Abstract
Computer simulation models are central to environmental science. These mathematical models are used to understand complex weather and climate patterns and to predict the climate’s response to different forcings. Climate models are of course not perfect reflections of reality, and so comparison with observed data is needed to quantify and to correct for biases and other deficiencies. We propose a new method to calibrate model output using observed data. Our approach not only matches the marginal distributions of the model output and gridded observed data, but it simultaneously postprocesses the model output to have the same spatial correlation as the observed data. This comprehensive calibration method permits realistic spatial simulations for regional impact studies. We apply the proposed method to global climate model output in North America and show that it successfully calibrates the model output for temperature and precipitation.
Details
- Title: Subtitle
- Complete spatial model calibration
- Creators
- Yen-Ning HuangBrian J ReichMontserrat FuentesA Sankarasubramanian
- Resource Type
- Journal article
- Publication Details
- The annals of applied statistics, Vol.13(2), pp.746-766
- DOI
- 10.1214/18-AOAS1219
- ISSN
- 1932-6157
- eISSN
- 1941-7330
- Language
- English
- Date published
- 06/01/2019
- Academic Unit
- Biostatistics; Statistics and Actuarial Science; President
- Record Identifier
- 9984065774602771
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