The Role of Rain-on-Snow in Flooding Over the Conterminous United States

被引:128
作者
Li, Dongyue [1 ,2 ]
Lettenmaier, Dennis P. [1 ]
Margulis, Steven A. [2 ]
Andreadis, Konstantinos [3 ]
机构
[1] Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90024 USA
[2] Univ Calif Los Angeles, Dept Civil & Environm Engn, Los Angeles, CA USA
[3] Univ Massachusetts, Dept Civil & Environm Engn, Amherst, MA 01003 USA
关键词
rain on snow; snow hydrology; flood; hydrologic extreme; climate change; DIFFERENTIAL EVOLUTION; ENERGY FLUXES; EVENTS; VARIABILITY; WATER; SENSITIVITY; RUNOFF; TRENDS; MODEL;
D O I
10.1029/2019WR024950
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on a process-level modeling of the rain-on-snow (ROS) events in the period of 1950 to 2013 and in a warmer climate, we quantify the historical and future runoff contribution from ROS to extreme floods and the source of runoff and snowmelt in large ROS events within the conterminous United States (CONUS). We find that the regions impacted most heavily by ROS include the West Coast, the major mountain ranges of the western interior, the Upper Midwest, the Northeast, and the lower Appalachians. While 70% of extreme (upper 0.1%) runoff events in these regions have some contribution from ROS, the runoff generated during these ROS events accounts for less than 10% of the total extreme flood runoff; the much larger fraction of extreme runoff is from either intense rainfall or clear-sky snowmelt. Rainfall is the dominant source of runoff in ROS events along the West Coast and over the west-facing slopes of the Cascades and Sierra Nevada, while snowmelt dominates ROS runoff in the other regions in the CONUS. Net radiation dominates the snowmelt during ROS in the high mountains in the West, while net radiation and turbulent heat flux are equally dominant in the rest of CONUS. Historically, the role of ROS in streamflow extremes is most significant in midelevation areas, but this "significant influence zone" will shift to higher elevations in a warmer future. The future ROS frequency changes exert a first order control on the future change of the runoff contribution from ROS to extreme floods.
引用
收藏
页码:8492 / 8513
页数:22
相关论文
共 62 条
[1]   Modeling snow accumulation and ablation processes in forested environments [J].
Andreadis, Konstantinos M. ;
Storck, Pascal ;
Lettenmaier, Dennis P. .
WATER RESOURCES RESEARCH, 2009, 45
[2]  
[Anonymous], METHOD MODELING FREQ
[3]   Snowmelt rate dictates streamflow [J].
Barnhart, Theodore B. ;
Molotch, Noah P. ;
Livneh, Ben ;
Harpold, Adrian A. ;
Knowles, John F. ;
Schneider, Dominik .
GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (15) :8006-8016
[4]  
BERGMAN JA, 1987, LANDSLIDE ACTIVITY S, P15
[5]  
Cayan DR, 1998, J CLIMATE, V11, P3148, DOI 10.1175/1520-0442(1998)011<3148:DVOPOW>2.0.CO
[6]  
2
[7]   Predictability of Extreme Precipitation in Western US Watersheds Based on Atmospheric River Occurrence, Intensity, and Duration [J].
Chen, Xiaodong ;
Leung, L. Ruby ;
Gao, Yang ;
Liu, Ying ;
Wigmosta, Mark ;
Richmond, Marshall .
GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (21) :11693-11701
[8]   Non-stationary extreme value analysis in a changing climate [J].
Cheng, Linyin ;
AghaKouchak, Amir ;
Gilleland, Eric ;
Katz, Richard W. .
CLIMATIC CHANGE, 2014, 127 (02) :353-369
[9]   Trends and variability in rain-on-snow events [J].
Cohen, Judah ;
Ye, Hengchun ;
Jones, Justin .
GEOPHYSICAL RESEARCH LETTERS, 2015, 42 (17) :7115-7122
[10]   SNOW STABILITY DURING RAIN [J].
CONWAY, H ;
RAYMOND, CF .
JOURNAL OF GLACIOLOGY, 1993, 39 (133) :635-642