Yang Hong

TL;DR: The TRMM Multi-Satellite Precipitation Analysis (TMPA) as discussed by the authors provides a calibration-based sequential scheme for combining precipitation estimates from multiple satellites, as well as gauge analyses where feasible, at fine scales.

TL;DR: The Tropical Rainfall Measuring Mission (TRMM) was launched on 27 November 1997, and data from all the instruments first became available approximately 30 days after the launch as mentioned in this paper, and much progress has been made in the calibration of the sensors, the improvement of the rainfall algorithms, and applications of these results to areas such as data assimilation and model initialization.

TL;DR: The latest improvements applied to the Goddard profiling algorithm (GPROF) are described, particularly as they apply to the Tropical Rainfall Measuring Mission (TRMM), and the new algorithm makes use of emission and scattering indices instead of individual brightness temperatures.

TL;DR: In this article, a satellite-based rainfall estimation algorithm, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) Cloud Classification System (CCS), is described.

TL;DR: Wang et al. as mentioned in this paper explored the spatio-temporal dynamics and evolution of land use change and landscape pattern in response to the rapid urbanization process of a booming developing city in China from 1996 to 2006.