Intercalibrated Passive Microwave Rain Products from the Unified Microwave Ocean Retrieval Algorithm (UMORA)

By Kyle A. Hilburn, Frank J. Wentz. 2008

192 citations recorded by the source corpus.

Subfields: Atmospheric Science, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/776dd97044a58a8168236ddce8d1fed8b7c24b37

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

1. Ole Peters
2. K. Hales
3. Fuzhong Weng
4. Thomas J. Greenwald
5. Yong Chen
6. Mark S. Kulie
7. D. Neelin
8. P. O’Gorman

In Environmental Engineering

1. K. Hales
2. D. Neelin
3. Ole Peters
4. P. O’Gorman
5. Ralf Bennartz
6. J. Blunden
7. M. Baringer
8. Fuzhong Weng

Citations in the corpus

• Cloud Liquid Water Path from Satellite-Based Passive Microwave Observations: A New Climatology over the Global Oceans (2008, unknown): “…Prediction–National Center for Atmospheric Research (NCEP–NCAR) re-analysis is used in the version 6 SSM/I data and is simply linear in SST, varying roughly from 0.5 to 5 km between 0° and 30°C; this parameterization yields a more accurate climatology of rainfall (Hilburn and Wentz 2008).”
• Uncertainties in Microwave Properties of Frozen Precipitation: Implications for Remote Sensing and Data Assimilation (2010, methodology): “The variability of these results seems to justify using an ensemble populated by the entire Hong (2007) and Liu (2008) dataset since the combined active/ passive properties of even the pristine crystal habits compare well in the precipitating regions.”
• Precipitation Extremes Under Climate Change (2015, methodology): “Differences in convective parameterizations are less important in the extratropics, and the correlation coefficient across models between the sensitivities for climate change and variability becomes smaller for climate change at higher latitudes, reaching a value of 0.5 at 50S and 40N as compared to”
• The Transition to Strong Convection (2009, methodology): “We use precipitation and column water vapor retrievals from the Tropical Rainfall Measuring Mission (TRMM; Kummerow et al. 2000), specifically the TRMM Microwave Imager (TMI) processed by Remote Sensing Systems (RSS) with the improved Hilburn and Wentz (2008) algorithm (version 4 TMI; also known a”
• State of the climate in 2010 (2011, methodology): “The global ocean precipitation climatology is produced using Remote Sensing Systems (RSS) intercalibrated passive microwave rain retrievals from a total of eight microwave imagers (Hilburn and Wentz 2008a).”