SSAS: Spatiotemporal Scale Adaptive Selection for Improving Bias Correction on Precipitation.

By utilizing physical models of the atmosphere collected from the current weather conditions, the numerical weather prediction model developed by the European Centre for Medium-range Weather Forecasts (ECMWF) can provide the indicators of severe weather such as heavy precipitation for an early-warning system. However, the performance of precipitation forecasts from ECMWF often suffers from considerable prediction biases due to the high complexity and uncertainty for the formation of precipitation. The bias correcting on precipitation (BCoP) was thus utilized for correcting these biases via forecasting variables, including the historical observations and variables of precipitation, and these variables, as predictors, from ECMWF are highly relevant to precipitation.

The influence of unemployment and divorce rate on child help-seeking behavior about violence, relationships, and other issues.

Objective: This study examined the influence of community unemployment and divorce rate on child help-seeking behavior about violence and relationships via a telephone and Internet helpline.

Methods: Time series analysis was conducted on monthly call volumes to a child helpline ('De Kindertelefoon') in the Netherlands from 2003 to 2008 and on the topics discussed (primarily Violence and Relationships) from 1994 to 2008 in answered calls and chats.

Results: As unemployment rises, the number of calls to the helpline increases.