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  • Christian Kummerow, Y Hong, W S Olson, S Yang, R F Adler, J Mccollum +4 others
  • 2001
This paper describes the latest improvements applied to the Goddard profiling algorithm (GPROF), particularly as they apply to the Tropical Rainfall Measuring Mission (TRMM). Most of these improvements, however, are conceptual in nature and apply equally to other passive microwave sensors. The improvements were motivated by a notable overestimation of(More)
  • Ruiyue Chen, Zhanqing Li, Robert J Kuligowski, Ralph Ferraro, Fuzhong Weng, Citation Chen +4 others
  • 2011
[1] Warm rain occurs in low‐level liquid water clouds and does not involve an ice‐phase process. Comprising many state‐of‐the‐art passive and active instruments, the NASA A‐Train series of satellites provide comprehensive simultaneous information about warm clouds and their precipitation processes. This study exploits multi‐sensor data from the A‐Train(More)
OBJECTIVE Recent reports have suggested improvement in the last decade in global outcome measures after subarachnoid hemorrhage (SAH), particularly in patients presenting in good initial neurological status. We used a standardized self-report instrument, the Reintegration to Normal Living (RNL) Index, to assess a patient-based quality of life measure and a(More)
The second WetNet Precipitation Intercomparison Project (PIP-2) evaluates the performance of 20 satellite precipitation retrieval algorithms, implemented for application with Special Sensor Microwave/Imager (SSM/I) passive microwave (PMW) measurements and run for a set of rainfall case studies at full resolution–instantaneous space–timescales. The cases are(More)
  • Ruiyue Chen, Robert Wood, Zhanqing Li, Ralph Ferraro, Fu-Lung Chang, Citation Chen +4 others
  • 2008
[1] The albedo of marine stratocumuli depends upon cloud liquid water content, droplet effective radius (r e), and how these parameters vary with height. Using satellite data and shipborne data from the East Pacific Investigation of Climate (EPIC) Stratocumulus Study, this study investigates the cloud r e vertical variation for drizzling and nondrizzling(More)
Microwave (MW) satellite data are widely used as input in the Numerical Weather Prediction (NWP) models and also in other applications like climate monitoring and reanalysis. MW satellite data are prone to different problems including geolocation errors. MW data do not have a fine spatial resolution like visible and infrared data, therefore the accuracy of(More)