An observationally based method for stratifying a priori passive microwave observations in a Bayesian‐based precipitation retrieval framework-Reference-Cited by-同舟云学术

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An observationally based method for stratifying a priori passive microwave observations in a Bayesian‐based precipitation retrieval framework

Published:2018-01-19 Issue:S1 Volume:144 Page:145-164
ISSN:0035-9009
Container-title:Quarterly Journal of the Royal Meteorological Society
language:en
Short-container-title:Q J R Meteorol Soc

Author:

Turk F. Joseph¹,Haddad Ziad S.¹,Kirstetter Pierre‐Emmanuel²,You Yalei³,Ringerud Sarah⁴

Affiliation:

1. Jet Propulsion LaboratoryCalifornia Institute of Technology Pasadena California

2. Advanced Radar Research Center, National Severe Storms Laboratory (NSSL) Norman Oklahoma

3. ESSIC/University of Maryland College Park Maryland

4. Goddard Space Flight Center Greenbelt Maryland

Funder

National Aeronautics and Space Administration

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3203

Reference41 articles.

1. A Tool to Estimate Land-Surface Emissivities at Microwave frequencies (TELSEM) for use in numerical weather prediction

2. A Physically Based Screen for Precipitation Over Complex Surfaces Using Passive Microwave Observations

3. The Influence of Surface and Precipitation Characteristics on TRMM Microwave Imager Rainfall Retrieval Uncertainty

4. Transitioning From CRD to CDRD in Bayesian Retrieval of Rainfall From Satellite Passive Microwave Measurements: Part 2. Overcoming Database Profile Selection Ambiguity by Consideration of Meteorological Control on Microphysics

5. Validation and Intercomparison of SSM/I Rain-Rate Retrieval Methods over the Continental United States

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1. Reconstruction of 3D DPR Observations Using GMI Radiances;Geophysical Research Letters;2024-03-08

2. Multi‐Task Learning for Simultaneous Retrievals of Passive Microwave Precipitation Estimates and Rain/No‐Rain Classification;Geophysical Research Letters;2023-04-05

3. On the effects of cloud water content on passive microwave snowfall retrievals;Remote Sensing of Environment;2022-10

4. Systematic assessment of GPM IMERG V06 precipitation products with dense rain gauge observations over Zhejiang Province, China;International Journal of Climatology;2022-09-07

5. Passive Microwave Signatures and Retrieval of High-Latitude Snowfall Over Open Oceans and Sea Ice: Insights From Coincidences of GPM and CloudSat Satellites;IEEE Transactions on Geoscience and Remote Sensing;2022

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