“ Projecting North American Climate Over the Next 50 Years : Uncertainty due to Internal Variability ”

نویسندگان

  • Adam S. Phillips
  • Michael A. Alexander
  • Brian V. Smoliak
چکیده

This study highlights the relative importance of internally-generated vs. externally-forced climate trends over the next 50 years (2010-2060) at local and regional scales over North America in two global coupled model ensembles. Both ensembles contain large numbers of integrations (17 and 40), each of which is subject to identical anthropogenic radiative forcing (e.g., greenhouse gas increase) but begins from a slightly different initial atmospheric state. Thus, the diversity of projected climate trends within each model ensemble is due solely to intrinsic, unpredictable variability of the climate system. Both model ensembles show that natural climate variability superimposed upon forced climate change will result in range of possible future trends for surface air temperature and precipitation over the next 50 years. Precipitation trends are particularly subject to uncertainty as a result of internal variability, with signal-to-noise ratios less than two. Intrinsic atmospheric circulation variability is mainly responsible for the spread in future climate trends, imparting regional coherence to the internally-driven air temperature and precipitation trends. The results underscore the importance of conducting a large number of climate change projections with a given model, as each realization will contain a different superposition of unforced and forced trends. Such initial-condition ensembles are also needed to determine the anthropogenic climate response at local and regional scales, and provide a new perspective on how to usefully compare climate change projections across models.

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

آشکارسازی تغییرات بارش‌های حدی و نسبت دهی به تغییر اقلیم با استفاده از روش استاندارد انگشت نگاشت بهینه (مطالعه موردی : جنوب غرب ایران)

Understanding the changes in extreme precipitation over a region is very important for adaptation strategies to climate change. One of the most important topics in this field is detection and attribution of climate change. Over the past two decades, there has been an increasing interest for scientists, engineers and policy makers to study about the effects of external forcing to the climatic va...

متن کامل

Uncertainty in future regional sea level rise due to internal climate variability

[1] Sea level rise (SLR) is an inescapable consequence of increasing greenhouse gas concentrations, with potentially harmful effects on human populations in coastal and island regions. Observational evidence indicates that global sea level has risen in the 20th century, and climate models project an acceleration of this trend in the coming decades. Here we analyze rates of future SLR on regiona...

متن کامل

A Statistical Modeling Framework for Projecting Future Ambient Ozone and its Health Impact due to Climate Change.

The adverse health effects of ambient ozone are well established. Given the high sensitivity of ambient ozone concentrations to meteorological conditions, the impacts of future climate change on ozone concentrations and its associated health effects are of concern. We describe a statistical modeling framework for projecting future ozone levels and its health impacts under a changing climate. Th...

متن کامل

Surface ozone variability and the jet position: Implications for projecting future air quality

[1] Changes in the variability of surface ozone can affect the incidence of ozone pollution events. Analysis of multi-century simulations from a chemistry climate model shows that present-day summertime variability of surface ozone depends strongly on the jet stream position over eastern North America. This relationship holds on decadal time scales under projected climate change scenarios, in w...

متن کامل

Impact of Species Parameter Uncertainty in Simulations of Tree Species Migration with a Spatially Linked Dynamic Model

The simulation of tree species migration suffers from many sources of uncertainty. In our study we examined the influence of species parameter uncertainty on simulated tree species migration, using the spatially linked dynamic forest landscape model TreeMig. The impact of uncertainty becomes especially apparent under critical conditions arising from the interaction of species sensitivities to c...

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

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

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013