Toward a Framework for Systematic Error Modeling of NASA Spaceborne Radar with NOAA/NSSL Ground Radar-Based National Mosaic QPE

Characterization of the error associated to satellite rainfall estimates is a necessary component of deterministic and probabilistic frameworks involving space-born passive and active microwave measurement") for applications ranging from water budget studies to forecasting natural hazards related to extreme rainfall events. We focus here on the error structure of NASA's Tropical Rainfall Measurement Mission (TRMM) Precipitation Radar (PR) quantitative precipitation estimation (QPE) at ground. The problem is addressed by comparison of PR QPEs with reference values derived from ground-based measurements using NOAA/NSSL ground radar-based National Mosaic and QPE system (NMQ/Q2). A preliminary investigation of this subject has been carried out at the PR estimation scale (instantaneous and 5 km) using a three-month data sample in the southern part of US. The primary contribution of this study is the presentation of the detailed steps required to derive trustworthy reference rainfall dataset from Q2 at the PR pixel resolution. It relics on a bias correction and a radar quality index, both of which provide a basis to filter out the less trustworthy Q2 values. Several aspects of PR errors arc revealed and quantified including sensitivity to the processing steps with the reference rainfall, comparisons of rainfall detectability and rainfall rate distributions, spatial representativeness of error, and separation of systematic biases and random errors. The methodology and framework developed herein applies more generally to rainfall rate estimates from other sensors onboard low-earth orbiting satellites such as microwave imagers and dual-wavelength radars such as with the Global Precipitation Measurement (GPM) mission

Holding Up Half of the Sky? Attitudes Toward Women as Managers in the People’s Republic of China

China has become a popular host country for multinational corporations since joining the World Trade Organization in 2001. However, there is a general lack of understanding of the Chinese culture and lack of empirical study on perception of women as managers in China. This study provides historical, cultural, social and legal contexts of the Chinese society and empirically compares attitudes toward women as managers among students and workers. Results show significant gender and sample effects. Further analysis revealed that the gender effect was stronger than the sample effect. Women have a much more positive, liberal and egalitarian attitude toward women as managers than men. However, the unfortunate similarities in attitudes toward women as managers between younger male students and older male workers show that we still have a while to wait before women really hold up half of the sky in China. Implications of these results are discussed based on the cultural and social contexts. Managerial implications are provided