Current climate change projections anticipate that global warming trends will lead to changes in the distribution and intensity of precipitation at a global level. However, few studies have corroborated these model-based results using historical precipitation records at a regional level, especially in our study region, California. In our analyses of 14 long-term precipitation records representing multiple climates throughout the state, we find northern and central regions increasing in precipitation while southern regions are drying. Winter precipitation is increasing in all regions, while other seasons show mixed results. Rain intensity has not changed since the 1920s. While Sacramento shows over 3 more days of rain per year, Los Angeles has almost 4 less days per year in the last century. Both the El Niño-Southern Oscillation (ENSO) and the Pacific Decadal Oscillation (PDO) greatly influence the California precipitation record. The climate change signal in the precipitation records remains unclear as annual variability overwhelms the precipitation trends. OPEN ACCESSClimate 2014, 2 169

Flooding, inundation are two of five kinds of disaster (storming, erosion, drought, saline intrusion) which cause serious impacts on Vietnam. In addition, due to the effects of climate change, unstability and more serious disasters in term of frequency, locations, and intensity. In this problem, central of Vietnam, especially Quang Ngai, are famous examples. This study applys combined approach: remote sensing method for establishing flooding maps and MIKE11 for simulating flood in Tra Khuc river downstream. The research aims to provide scientific and practical basics for projects and sience missions. The data is provided from historical flooding event in Quang Ngai in 2013, the article presents results including (1) Map of flooding in Quang Ngai in 2013 with correlation coefficiency at 0.87; (2) Hydrological and hydrodynamic caribrated parameters for MIKE11 for downstream area; (3) Maps of inundation in 2013 for Tra Khuc downstream; (4) Potential flooding risk maps following climate change and sea level rise scenarios.