Brey Steven J, Barnes Elizabeth A, Pierce Jeffrey R, Swann Abigail L S, Fischer Emily V
Department of Atmospheric Science Colorado State University Fort Collins CO USA.
Department of Atmospheric Science University of Washington Seattle WA USA.
Earths Future. 2020 Feb;9(2):e2020EF001645. doi: 10.1029/2020EF001645. Epub 2021 Feb 6.
Increases in vapor pressure deficit (VPD) have been hypothesized as the primary driver of future fire changes. The Coupled Model Intercomparison Project Phase 5 (CMIP5) models agree that western U.S. surface temperatures and associated dryness of air as defined by the VPD will increase in the 21st century for Representative Concentration Pathways (RCPs) 4.5 and 8.5. However, we find that averaged over seasonal and regional scales, other environmental variables demonstrated to be relevant to flammability, moisture abundances, and aridity-such as precipitation, evaporation, relative humidity, root zone soil moisture, and wind speed-can be used to explain observed variance in wildfire burn area as well or better than VPD. However, the magnitude and sign of the change of these variables in the 21st century are less certain than the predicted changes in VPD. Our work demonstrates that when objectively selecting environmental variables to maximize predictive skill of linear regressions (minimize square error on unseen data) VPD is not always selected and when it is not, the magnitude of future increases in burn area becomes less certain. Hence, this work shows that future burn area predictions are sensitive to what environmental predictors are chosen to drive burn area.
蒸气压亏缺(VPD)的增加被认为是未来火灾变化的主要驱动因素。耦合模式比较计划第五阶段(CMIP5)的模型一致认为,对于代表性浓度路径(RCP)4.5和8.5,21世纪美国西部的地表温度以及由VPD定义的相关空气干燥度将会增加。然而,我们发现,在季节和区域尺度上进行平均时,其他已证明与易燃性、水分丰度和干旱相关的环境变量——如降水量、蒸发量、相对湿度、根区土壤湿度和风速——能够同样好地或比VPD更好地解释野火燃烧面积的观测变化。然而,这些变量在21世纪变化的幅度和符号比VPD的预测变化更不确定。我们的研究表明,在客观选择环境变量以最大化线性回归的预测技能(最小化未见过数据的平方误差)时,VPD并不总是被选中,而当它未被选中时,未来燃烧面积增加的幅度就变得更不确定。因此,这项研究表明,未来燃烧面积的预测对选择何种环境预测因子来驱动燃烧面积很敏感。