Attribution of Snowpack Errors to Simulated Temperature and Precipitation in E3SMv1 Over the Contiguous United States

Abstract Snow water equivalent (SWE), temperature, and precipitation biases and trends are evaluated in the atmosphere‐land simulations of the Energy Exascale Earth System Model version 1 (E3SMv1) in comparison to the Community Earth System Model version 2 (CESM2) and two other models using the grou...

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Main Authors: Michael A. Brunke, Joshua Welty, Xubin Zeng
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-10-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2021MS002640
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author Michael A. Brunke
Joshua Welty
Xubin Zeng
author_facet Michael A. Brunke
Joshua Welty
Xubin Zeng
author_sort Michael A. Brunke
collection DOAJ
description Abstract Snow water equivalent (SWE), temperature, and precipitation biases and trends are evaluated in the atmosphere‐land simulations of the Energy Exascale Earth System Model version 1 (E3SMv1) in comparison to the Community Earth System Model version 2 (CESM2) and two other models using the ground measurement‐based University of Arizona (UA) snow product. SWE, temperature, and precipitation biases are highest in magnitude in the Western contiguous United States (CONUS). SWE errors are attributed to temperature and precipitation through multiple linear regressions of normalized errors, the coefficients of which represent the sensitivities to temperature and precipitation errors. SWE errors are more sensitive to temperature errors throughout the CONUS. Model SWE and temperature trends are generally opposite from UA product trends in the Western CONUS. SWE trend errors are also attributed to temperature and precipitation trend errors using multiple linear regressions of normalized trend errors. SWE trend errors are more sensitive to those of precipitation at higher elevations (>1,500 m) in the Western CONUS in these simulations. Thus, the sensitivity to temperature and precipitation differ for SWE errors and its trend errors. Furthermore, the SWE trend errors are more sensitive to temperature and precipitation in the atmosphere‐ocean coupled simulations in which the atmosphere‐land is coupled to an active ocean model. These results suggest that both errors in simulated temperature and precipitation contribute to SWE errors.
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spelling doaj.art-539fcd5708d5427d9c703f97e0e79cee2022-12-21T20:10:54ZengAmerican Geophysical Union (AGU)Journal of Advances in Modeling Earth Systems1942-24662021-10-011310n/an/a10.1029/2021MS002640Attribution of Snowpack Errors to Simulated Temperature and Precipitation in E3SMv1 Over the Contiguous United StatesMichael A. Brunke0Joshua Welty1Xubin Zeng2Department of Hydrology and Atmospheric Science The University of Arizona Tucson AZ USADepartment of Hydrology and Atmospheric Science The University of Arizona Tucson AZ USADepartment of Hydrology and Atmospheric Science The University of Arizona Tucson AZ USAAbstract Snow water equivalent (SWE), temperature, and precipitation biases and trends are evaluated in the atmosphere‐land simulations of the Energy Exascale Earth System Model version 1 (E3SMv1) in comparison to the Community Earth System Model version 2 (CESM2) and two other models using the ground measurement‐based University of Arizona (UA) snow product. SWE, temperature, and precipitation biases are highest in magnitude in the Western contiguous United States (CONUS). SWE errors are attributed to temperature and precipitation through multiple linear regressions of normalized errors, the coefficients of which represent the sensitivities to temperature and precipitation errors. SWE errors are more sensitive to temperature errors throughout the CONUS. Model SWE and temperature trends are generally opposite from UA product trends in the Western CONUS. SWE trend errors are also attributed to temperature and precipitation trend errors using multiple linear regressions of normalized trend errors. SWE trend errors are more sensitive to those of precipitation at higher elevations (>1,500 m) in the Western CONUS in these simulations. Thus, the sensitivity to temperature and precipitation differ for SWE errors and its trend errors. Furthermore, the SWE trend errors are more sensitive to temperature and precipitation in the atmosphere‐ocean coupled simulations in which the atmosphere‐land is coupled to an active ocean model. These results suggest that both errors in simulated temperature and precipitation contribute to SWE errors.https://doi.org/10.1029/2021MS002640snow water equivalentearth system modelserror attributioncontiguous United States
spellingShingle Michael A. Brunke
Joshua Welty
Xubin Zeng
Attribution of Snowpack Errors to Simulated Temperature and Precipitation in E3SMv1 Over the Contiguous United States
Journal of Advances in Modeling Earth Systems
snow water equivalent
earth system models
error attribution
contiguous United States
title Attribution of Snowpack Errors to Simulated Temperature and Precipitation in E3SMv1 Over the Contiguous United States
title_full Attribution of Snowpack Errors to Simulated Temperature and Precipitation in E3SMv1 Over the Contiguous United States
title_fullStr Attribution of Snowpack Errors to Simulated Temperature and Precipitation in E3SMv1 Over the Contiguous United States
title_full_unstemmed Attribution of Snowpack Errors to Simulated Temperature and Precipitation in E3SMv1 Over the Contiguous United States
title_short Attribution of Snowpack Errors to Simulated Temperature and Precipitation in E3SMv1 Over the Contiguous United States
title_sort attribution of snowpack errors to simulated temperature and precipitation in e3smv1 over the contiguous united states
topic snow water equivalent
earth system models
error attribution
contiguous United States
url https://doi.org/10.1029/2021MS002640
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AT xubinzeng attributionofsnowpackerrorstosimulatedtemperatureandprecipitationine3smv1overthecontiguousunitedstates