Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar
GET THE APP
Trend And Seasonality Of Land Precipitation In Observations And CMIP5 Model Simulations | 55614
ISSN: 2157-7617
Journal of Earth Science & Climatic Change
Open Access
Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.
In this study, we examined the annual precipitation amounts, the seasonality over global land and their linear trends, and
the uncertainties in observations and then compared them with historical runs by multiple models. Overall, the largescale
patterns of both the climatology of the annual precipitation amount and the seasonality are consistent between the
observations. Nevertheless, some noticeable differences existed, particularly in the regions with fewer gauge observations,
such as northern Africa and the Tibetan Plateau. For long-term changes, significant drying trends during 1948–2005 were
observed in the tropical areas of northern Africa, accompanied by significant wetting trends in the polar region of Canada.
The seasonality change during the period was dominated by a decreasing trend in precipitation, especially in the western
portion of Russia. The model simulations of the Coupled Model Intercomparison Project, Phase 5 (CMIP5) reproduced the
climatological mean state of annual precipitation and its seasonality in the observations, and to some extent the zonal mean
trends of precipitation amounts, but did not reproduce the zonal mean trends of seasonality. The two-dimensional distribution
of linear trends of annual precipitation and seasonality simulated by CMIP5 models showed little consistency with their
observational counterparts. One possibility for the inconsistencies was that they were largely determined by internal variations
of the climate system. In contrast, it might also suggest a challenge for state-of-the-art climate models to correctly simulate the
spatial distribution of responses of annual precipitation amounts and seasonality to the evolution of external forcings.
Biography
Xiaofan Li has completed his PhD from University of Hawaii, USA. He is working as a Professor at School of Earth Sciences, Zhejiang University, China. He has published over 100 papers in reputed journals.