How well do CMIP5 climate simulations replicate historical trends and patterns of droughts?
Abstract
Assessing the uncertainties and understanding the deficiencies of climate models are fundamental to developing adaptation strategies. The objective of this study is to understand how well Coupled Model Intercomparison-Phase 5 (CMIP5) climate model simulations replicate ground-based observations of continental drought areas and their trends. The CMIP5 multimodel ensemble encompasses the Climatic Research Unit (CRU) ground-based observations of area under drought at all time steps. However, most model members overestimate the areas under extreme drought, particularly in the Southern Hemisphere (SH). Furthermore, the results show that the time series of observations and CMIP5 simulations of areas under drought exhibit more variability in the SH than in the Northern Hemisphere (NH). The trend analysis of areas under drought reveals that the observational data exhibit a significant positive trend at the significance level of 0.05 over all land areas. The observed trend is reproduced by about three-fourths of the CMIP5 models when considering total land areas in drought. While models are generally consistent with observations at a global (or hemispheric) scale, most models do not agree with observed regional drying and wetting trends. Over many regions, at most 40% of the CMIP5 models are in agreement with the trends of CRU observations. Themore »
- Authors:
-
- Univ. of California, Irvine, CA (United States)
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Beijing Normal Univ. Beijing (China)
- Publication Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1289390
- Report Number(s):
- LLNL-JRNL-691042
Journal ID: ISSN 0043-1397
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Water Resources Research
- Additional Journal Information:
- Journal Volume: 51; Journal Issue: 4; Journal ID: ISSN 0043-1397
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 58 GEOSCIENCES
Citation Formats
Nasrollahi, Nasrin, AghaKouchak, Amir, Cheng, Linyin, Damberg, Lisa, Phillips, Thomas J., Miao, Chiyuan, Hsu, Kuolin, and Sorooshian, Soroosh. How well do CMIP5 climate simulations replicate historical trends and patterns of droughts?. United States: N. p., 2015.
Web. doi:10.1002/2014WR016318.
Nasrollahi, Nasrin, AghaKouchak, Amir, Cheng, Linyin, Damberg, Lisa, Phillips, Thomas J., Miao, Chiyuan, Hsu, Kuolin, & Sorooshian, Soroosh. How well do CMIP5 climate simulations replicate historical trends and patterns of droughts?. United States. https://doi.org/10.1002/2014WR016318
Nasrollahi, Nasrin, AghaKouchak, Amir, Cheng, Linyin, Damberg, Lisa, Phillips, Thomas J., Miao, Chiyuan, Hsu, Kuolin, and Sorooshian, Soroosh. Sun .
"How well do CMIP5 climate simulations replicate historical trends and patterns of droughts?". United States. https://doi.org/10.1002/2014WR016318. https://www.osti.gov/servlets/purl/1289390.
@article{osti_1289390,
title = {How well do CMIP5 climate simulations replicate historical trends and patterns of droughts?},
author = {Nasrollahi, Nasrin and AghaKouchak, Amir and Cheng, Linyin and Damberg, Lisa and Phillips, Thomas J. and Miao, Chiyuan and Hsu, Kuolin and Sorooshian, Soroosh},
abstractNote = {Assessing the uncertainties and understanding the deficiencies of climate models are fundamental to developing adaptation strategies. The objective of this study is to understand how well Coupled Model Intercomparison-Phase 5 (CMIP5) climate model simulations replicate ground-based observations of continental drought areas and their trends. The CMIP5 multimodel ensemble encompasses the Climatic Research Unit (CRU) ground-based observations of area under drought at all time steps. However, most model members overestimate the areas under extreme drought, particularly in the Southern Hemisphere (SH). Furthermore, the results show that the time series of observations and CMIP5 simulations of areas under drought exhibit more variability in the SH than in the Northern Hemisphere (NH). The trend analysis of areas under drought reveals that the observational data exhibit a significant positive trend at the significance level of 0.05 over all land areas. The observed trend is reproduced by about three-fourths of the CMIP5 models when considering total land areas in drought. While models are generally consistent with observations at a global (or hemispheric) scale, most models do not agree with observed regional drying and wetting trends. Over many regions, at most 40% of the CMIP5 models are in agreement with the trends of CRU observations. The drying/wetting trends calculated using the 3 months Standardized Precipitation Index (SPI) values show better agreement with the corresponding CRU values than with the observed annual mean precipitation rates. As a result, pixel-scale evaluation of CMIP5 models indicates that no single model demonstrates an overall superior performance relative to the other models.},
doi = {10.1002/2014WR016318},
journal = {Water Resources Research},
number = 4,
volume = 51,
place = {United States},
year = {Sun Apr 26 00:00:00 EDT 2015},
month = {Sun Apr 26 00:00:00 EDT 2015}
}
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