[1] We investigate the impact of climate change on future air quality in the United States with a coupled global/regional scale modeling system. Regional climate model scenarios developed by dynamically downscaling outputs from the GISS GCM are used by CMAQ to simulate present air pollution climatology, and modeled surface ozone mixing ratios are compared with recent observations. Though the mo...

Abstract There is a lack of consensus on whether North Atlantic tropical cyclone (TC) outer size and structure (i.e., change in winds with increasing radius from the TC) will differ by late twenty-first century. Hence, this work seeks to examine TC wind field century using multiple simulations under CMIP3 SRES A1B CMIP5 RCP4.5 scenarios. Specifically, our analysis examines data GFDL High-Resolu...

We developed a dataset of local-scale daily climate change scenarios for Japan (called ELPIS-JP) using the stochastic weather generators (WGs) LARS-WG and, in part, WXGEN. The ELPIS-JP dataset is based on the observed (or estimated) daily weather data for seven climatic variables (daily mean, maximum and minimum temperatures; precipitation; solar radiation; relative humidity; and wind speed) at...

The study aimed to find out possible changes in climatic data (temperature and rainfall) from the regional climate model viz. PRECIS(Providing Regional Climates for Impact Studies)under different SRES scenarios (A1B, A2 B2 scenario) by mid (2021-2050) end (2071-2100) century at six locations of Punjab representing agroclimatic zones their impact on maize yield using crop growth simulation model...

Projections of climate change impact are associated with a cascade of uncertainties including in CO2 emission scenarios, climate models, downscaling and impact models. The relative importance of the individual uncertainty sources is expected to depend on several factors including the quantity that is projected. In the present study the impacts of climate model uncertainty and geological model u...

20 Twenty-first century projections of Atlantic climate change are downscaled to explore the 21 robustness of potential changes in hurricane activity. Multi-model ensembles using the 22 CMIP3/A1B (Late 21 st century) and CMIP5/RCP4.5 (Early and Late 21 st century) scenarios are 23 examined. Ten individual CMIP3 models are downscaled to assess the spread of results among 24 the CMIP3 (but not th...

Statistical downscaling is commonly used in climate modeling to obtain high-resolution spatial projections of future climate scenarios from the coarse-resolution outputs projected by global climate models. Unfortunately, most of the statistical downscaling approaches using standard regression methods tend to emphasize projecting the conditional mean of the data while paying scant attention to t...