Extreme Precipitation Events in Alaska: Historical Trends and Projected Changes

نویسندگان

چکیده

While recent increases in heavy precipitation events some midlatitude regions are consistent with climate model simulations, evidence of such high latitudes is more tenuous, partly because data limitations. The present study evaluates historical and future changes extreme Alaska. Using the ERA5 reanalysis, station data, output from two downscaled global models, we examine precipitation-driven flood at five diverse locations Alaska where major floods provide benchmarks: Fairbanks (August 1967), Seward (October 1986), Allakaket/Bettles 1994), Kivalina 2012), Haines (December 2020). We place these into a framework trends end-of-century (2065–2100) projections. In all but one events, amount rainfall was highest on record for event duration, this magnitude generally projected by models to remain infrequent. All cases had subtropical or tropical moisture sources. None show statistically significant events. However, frequencies increase most locations. frequency 2 year 5 return intervals become frequent, especially Interior, several times per year. Decreases only along Alaska’s southern coast.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Observed trends in extreme precipitation events in China during 1961–2001 and the associated changes in large-scale circulation

[1] The observed trends in extreme precipitation events, and those in annual and seasonal mean precipitation in China during 1961–2001 are analyzed. The results show that the annual mean precipitation increases significantly in southwest, northwest, and east China, and decreases significantly in central, north and northeast China. The increasing trends in east China occurred mainly in summer, w...

متن کامل

Impacts of climate change on extreme precipitation events in arid (Bandar Abbas) and semi-arid (Shahrekord) stations in Iran

The aim of this paper is to project extreme precipitation events in an arid and a semiarid station. In order to project climate change based on general circulation models (GCMs), we have applied LARS-WG[1] downscaling tool. This stochastic weather generator down-scaled the climate of two synoptic stations using HADCM3 model and A2 emission scenario for 2040. We extracted extreme precipitation e...

متن کامل

Extreme events: trends and risk assessment methodologies

In this chapter we discuss extreme weather events as they relate to climate adaptation. First, we summarize the state of the science regarding how different kinds of extreme events have been or will be influenced by global warming. Second, we describe the different kinds of tools that exist for extreme event hazard assessment. These include extreme value theory, which allows inference of rare e...

متن کامل

Going to the Extremes an Intercomparison of Model-simulated Historical and Future Changes in Extreme Events

Projections of changes in climate extremes are critical to assessing the potential impacts of climate change on human and natural systems. Modeling advances now provide the opportunity of utilizing global general circulation models (GCMs) for projections of extreme temperature and precipitation indicators. We analyze historical and future simulations of ten such indicators as derived from an en...

متن کامل

Mechanisms for projected future changes in south Asian monsoon precipitation

Results are first presented from an analysis of a global coupled climate model regarding changes in future mean and variability of south Asian monsoon precipitation due to increased atmospheric CO2 for doubled (2 · CO2) and quadrupled (4 · CO2) presentday amounts. Results from the coupled model show that, in agreement with previous studies, mean areaaveraged south Asian monsoon precipitation in...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Atmosphere

سال: 2022

ISSN: ['2073-4433']

DOI: https://doi.org/10.3390/atmos13030388