Search Results

You are looking at 91 - 100 of 627 items for :

  • Regional effects x
  • Bulletin of the American Meteorological Society x
  • All content x
Clear All
Xiaoyan Wang, Robert E. Dickinson, Liangyuan Su, Chunlüe Zhou, and Kaicun Wang

relative difference of PM 2.5 concentrations between the air stagnation events and no-stagnation events (relative to the latter) was considered as the effect of air stagnation on PM 2.5 dispersion. Regional air stagnation effects are summarized in Table 1 . The reason for some negative air stagnation effects occurring in summer is discussed in Figs. ES7 and ES8 . Frequency of the air stagnation events. Figure 8 demonstrates the seasonal occurrence of air stagnation events. Europe has the strongest

Open access
Andrew D. Gronewold, Vincent Fortin, Robert Caldwell, and James Noel

’s platforms (and the datasets generated from them) do not typically cross the U.S.–Canadian border because they are constrained by jurisdictional (rather than basin or watershed) boundaries. These inconsistencies can propagate into gaps, discontinuities, and errors in corresponding datasets. Regional precipitation datasets from NOAA, for example, typically originate from radar, satellite, and monitoring station data that are quality controlled within each of NOAA’s National Weather Service (NWS) River

Open access
Yong Wang, Martin Belluš, Andrea Ehrlich, Máté Mile, Neva Pristov, Petra Smolíková, Oldřich Španiel, Alena Trojáková, Radmila Brožková, Jure Cedilnik, Dijana Klarić, Tomislav Kovačić, Ján Mašek, Florian Meier, Balázs Szintai, Simona Tascu, Jozef Vivoda, Clemens Wastl, and Christoph Wittmann

A central European program pursues regional extensive scientific and technical collaboration in the field of operational limited-area numerical modeling for regional and local weather research, forecasting, and applications. Limited-area numerical weather prediction (NWP) models are essential tools for regional and local weather prediction and atmospheric research. The development, implementation, and operational execution of a limited-area model (LAM) are demanding on both human and computer

Open access
G. Myhre, P. M. Forster, B. H. Samset, Ø. Hodnebrog, J. Sillmann, S. G. Aalbergsjø, T. Andrews, O. Boucher, G. Faluvegi, D. Fläschner, T. Iversen, M. Kasoar, V. Kharin, A. Kirkevåg, J.-F. Lamarque, D. Olivié, T. B. Richardson, D. Shindell, K. P. Shine, C. W. Stjern, T. Takemura, A. Voulgarakis, and F. Zwiers

range of climate models. The aim of PDRMIP is to perform a thorough investigation of the differences in the effects of anthropogenic and natural drivers on precipitation and extreme precipitation events. This will be accomplished based on five core simulations, with global perturbation to either anthropogenic or natural drivers of climate change, as well as six selected regional perturbation experiments. PDRMIP will in particular enhance our understanding of drivers of climate change other than CO 2

Full access
Thomas R. Loveland and Rezaul Mahmood

Sustained assessment of the climatic impacts of land use and land cover change is essential. Land use and land cover change (LULCC) plays an important role in the climate system. Many studies have documented the impacts of LULCC on local, regional, and global climate. The National Climate Assessment Report ( Melillo et al. 2014 ) identifies LULCC as a “cross cutting” issue of future climate change studies. This report, and the previous U.S. Climate Change Science Program strategic plan (2003

Full access
Gabriele G. Pfister, Sebastian D. Eastham, Avelino F. Arellano, Bernard Aumont, Kelley C. Barsanti, Mary C. Barth, Andrew Conley, Nicholas A. Davis, Louisa K. Emmons, Jerome D. Fast, Arlene M. Fiore, Benjamin Gaubert, Steve Goldhaber, Claire Granier, Georg A. Grell, Marc Guevara, Daven K. Henze, Alma Hodzic, Xiaohong Liu, Daniel R. Marsh, John J. Orlando, John M. C. Plane, Lorenzo M. Polvani, Karen H. Rosenlof, Allison L. Steiner, Daniel J. Jacob, and Guy P. Brasseur

Empirical and modeling studies have provided strong evidence of dynamical and chemical coupling across the range of spatial and temporal scales inherent in the Earth system (e.g., Prinn 2012 ). Current chemical transport models, however, inadequately account for the two-way coupling of atmospheric chemistry with other Earth system components over the range of urban/local to regional to global scales and from the surface up to the top of the atmosphere. As a result, the predictability of local

Full access
Yi-Leng Chen, Pay-Liam Lin, Feng Hsiao, Pao-Shin Chu, and Mei-Huei Su

-MET). The only exception was the last paper which was on the dynamics of El Niño presented by Fei-Fei Jin (UHM-MET). The second day of the conference focused on two of the most profound disastrous weather phenomena over Taiwan: typhoons and mei-yu, which is the regional frontal system in late spring that brings in frequent heavy rainfall. These two phenomena also act as major water resources for the island. These papers were presented by researchers with the aim of transferring the research findings and

Full access
Lisa Goddard, James W. Hurrell, Benjamin P. Kirtman, James Murphy, Timothy Stockdale, and Carolina Vera

as an important time scale for endeavors such as water, agricultural, and land use planning (e.g., Vera et al. 2010 ). The promise of decadal climate prediction is supported by observational evidence of decadal climate variability with significant regional impacts, the effects of anthropogenic and naturally forced climate change, evidence of potential skill from idealized predictability studies ( Collins et al. 2006 ; Boer 2011 ), and pioneering attempts at predictions obtained by initializing

Full access
Qiaohong Sun, Chiyuan Miao, Amir AghaKouchak, Iman Mallakpour, Duoying Ji, and Qingyun Duan

Climate models project a general increase in the frequency and intensity of hydroclimate extremes at regional to global spatial scales during the twenty-first century ( Donat et al. 2017 ; Hirabayashi et al. 2013 ), which is expected to cause severe casualties and economic loss ( Ward et al. 2014 ). This enhancement of extreme events is due to increases in atmospheric water vapor and rates of ascent in clouds ( O’Gorman and Schneider 2009 ; Pfahl et al. 2017 ). Along with these climatic

Free access
Chris Hewitt, Carlo Buontempo, Paula Newton, Francisco Doblas-Reyes, Kerstin Jochumsen, and Detlef Quadfasel

-term predictions on multiannual time scales. The World Climate Research Programme (WCRP) aims to determine the predictability of climate and the effects of human activities on climate. The Paris Agreement was reached in large part because of the knowledge provided by the scientific community. The focus of research now must evolve from “making the case” for anthropogenic climate change to the development and dissemination of regional information to minimize risks and build resilience. A smart end

Full access