Are Trends in Convective Parameters over the United States and Europe Consistent between Reanalyses and Observations?

Author:

Pilguj Natalia1,Taszarek Mateusz234,Allen John T.5,Hoogewind Kimberly A.34

Affiliation:

1. a Faculty of Earth Sciences and Environmental Management, University of Wrocław, Wrocław, Poland

2. b Department of Meteorology and Climatology, Adam Mickiewicz University, Poznań, Poland

3. c Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, Oklahoma

4. d NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma

5. e Central Michigan University, Mount Pleasant, Michigan

Abstract

Abstract In this work, long-term trends in convective parameters are compared between ERA5, MERRA-2, and observed rawinsonde profiles over Europe and the United States including surrounding areas. A 39-yr record (1980–2018) with 2.07 million quality-controlled measurements from 84 stations at 0000 and 1200 UTC is used for the comparison, along with collocated reanalysis profiles. Overall, reanalyses provide signals that are similar to observations, but ERA5 features lower biases. Over Europe, agreement in the trend signal between rawinsondes and the reanalyses is better, particularly with respect to instability (lifted index), low-level moisture (mixing ratio), and 0–3-km lapse rates as compared with mixed trends in the United States. However, consistent signals for all three datasets and both domains are found for robust increases in convective inhibition (CIN), downdraft CAPE (DCAPE), and decreases in mean 0–4-km relative humidity. Despite differing trends between continents, the reanalyses capture well changes in 0–6-km wind shear and 1–3-km mean wind with modest increases in the United States and decreases in Europe. However, these changes are mostly insignificant. All datasets indicate consistent warming of almost the entire tropospheric profile, which over Europe is the fastest near ground whereas across the Great Plains it is generally between 2 and 3 km above ground level, thus contributing to increases in CIN. Results of this work show the importance of intercomparing trends between various datasets, as the limitations associated with one reanalysis or observations may lead to uncertainties and lower our confidence in how parameters are changing over time.

Funder

Narodowe Centrum Nauki

National Science Foundation

NOAA Research

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference204 articles.

1. A climatology of Australian severe thunderstorm environments 1979–2011: Inter-annual variability and ENSO influence;Allen;Int. J. Climatol.,2014

2. Climatological estimates of daily local nontornadic severe thunderstorm probability for the United States;Doswell;Wea. Forecasting,2005

3. Identification of favorable environments for thunderstorms in reanalysis data;Westermayer;Meteor. Z.,2017

4. Spatial trends in United States tornado frequency;Gensini;npj Climate Atmos. Sci.,2018

5. Tornadic environments in the Iberian Peninsula and the Balearic Islands based on ERA5 reanalysis;Rodríguez;Int. J. Climatol.,2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3