Articles | Volume 13, issue 4
https://doi.org/10.5194/nhess-13-887-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-13-887-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
10 Apr 2013
Research article |
| 10 Apr 2013
CDRD and PNPR satellite passive microwave precipitation retrieval algorithms: EuroTRMM/EURAINSAT origins and H-SAF operations
A. Mugnai
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), Rome, Italy
E. A. Smith
Center for Research on the Changing Earth System (CRCES), (HQ: Catonsville, Maryland, USA), Tallahassee, Florida, USA
G. J. Tripoli
Dept. of Atmospheric and Oceanic Sciences (AOS), University of Wisconsin, Madison, Wisconsin, USA
B. Bizzarri
World Meteorological Organization (WMO) Consultant, Rome, Italy
D. Casella
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), Rome, Italy
S. Dietrich
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), Rome, Italy
F. Di Paola
Institute of Methodologies for Environmental Analysis (IMAA), Italian National Research Council (CNR), Tito Scalo (PZ), Italy
G. Panegrossi
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), Rome, Italy
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), Rome, Italy
Viewed
Total article views: 3,598 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 10 Apr 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,745 | 1,610 | 243 | 3,598 | 262 | 269 |
- HTML: 1,745
- PDF: 1,610
- XML: 243
- Total: 3,598
- BibTeX: 262
- EndNote: 269
Cited
33 citations as recorded by crossref.
- The Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for AMSU/MHS observations: description and application to European case studies P. Sanò et al. https://doi.org/10.5194/amt-8-837-2015
- A Comparative Study of Rain/No-Rain Classification Results Using PCT From GPM/GMI Data by Precipitation Type J. Kim & D. Shin https://doi.org/10.1109/TGRS.2020.2988597
- Spatio-temporal variations of precipitation considering the orographic effects on Jeju Island M. Um et al. https://doi.org/10.1016/j.atmosres.2016.07.007
- The Use of TRMM 3B42 Product for Drought Monitoring in Mexico A. De Jesús et al. https://doi.org/10.3390/w8080325
- Beyond the Pixel: Using Patterns and Multiscale Spatial Information to Improve the Retrieval of Precipitation from Spaceborne Passive Microwave Imagers C. Guilloteau & E. Foufoula-Georgiou https://doi.org/10.1175/JTECH-D-19-0067.1
- Assessment and Comparison of TMPA Satellite Precipitation Products in Varying Climatic and Topographic Regimes in Morocco A. Milewski et al. https://doi.org/10.3390/rs70505697
- The validation service of the hydrological SAF geostationary and polar satellite precipitation products S. Puca et al. https://doi.org/10.5194/nhess-14-871-2014
- Passive Microwave Rainfall Error Analysis Using High-Resolution X-Band Dual-Polarization Radar Observations in Complex Terrain Y. Derin et al. https://doi.org/10.1109/TGRS.2017.2763622
- The Cloud Dynamics and Radiation Database Algorithm for AMSR2: Exploitation of the GPM Observational Dataset for Operational Applications D. Casella et al. https://doi.org/10.1109/JSTARS.2017.2713485
- A Coherent Approach to Evaluating Precipitation Forecasts over Complex Terrain F. Gofa et al. https://doi.org/10.3390/atmos13081164
- Stratiform/convective rain delineation for TRMM microwave imager T. Islam et al. https://doi.org/10.1016/j.jastp.2015.07.009
- The Passive Microwave Neural Network Precipitation Retrieval Algorithm for Climate Applications (PNPR-CLIM): Design and Verification L. Bagaglini et al. https://doi.org/10.3390/rs13091701
- Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction E. Ricciardelli et al. https://doi.org/10.3390/rs10101549
- Evaluation of GPROF-SSMI/S rainfall estimates over land during the Brazilian CHUVA-VALE campaign R. Oliveira et al. https://doi.org/10.1016/j.atmosres.2014.11.010
- Daily precipitation estimation through different microwave sensors: Verification study over Italy L. Ciabatta et al. https://doi.org/10.1016/j.jhydrol.2016.12.057
- Multiscale and Multilevel Feature Fusion Network for Quantitative Precipitation Estimation With Passive Microwave Z. Wang et al. https://doi.org/10.1109/TGRS.2024.3396379
- 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 D. Casella et al. https://doi.org/10.1109/TGRS.2013.2258161
- MiRTaW: An Algorithm for Atmospheric Temperature and Water Vapor Profile Estimation from ATMS Measurements Using a Random Forests Technique F. Di Paola et al. https://doi.org/10.3390/rs10091398
- 风云气象卫星光学遥感数据的智能处理与典型应用综述（特邀） 罗. Luo Chuyao et al. https://doi.org/10.3788/AOS241175
- Precipitation products from the hydrology SAF A. Mugnai et al. https://doi.org/10.5194/nhess-13-1959-2013
- Delineation of Rain Areas with TRMM Microwave Observations Based on PNN S. Xu et al. https://doi.org/10.3390/rs61212118
- Rain Rate Retrieval Algorithm for Conical-Scanning Microwave Imagers Aided by Random Forest, RReliefF, and Multivariate Adaptive Regression Splines (RAMARS) T. Islam et al. https://doi.org/10.1109/JSEN.2014.2372814
- A novel algorithm for detection of precipitation in tropical regions using PMW radiometers D. Casella et al. https://doi.org/10.5194/amt-8-1217-2015
- Assessment of mesoscale convective systems using IR brightness temperature in the southwest of Iran S. Rafati & M. Karimi https://doi.org/10.1007/s00704-016-1797-7
- Rain detection and measurement from Megha‐Tropiques microwave sounder—SAPHIR A. Varma et al. https://doi.org/10.1002/2016JD024907
- The new Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for the cross-track scanning ATMS radiometer: description and verification study over Europe and Africa using GPM and TRMM spaceborne radars P. Sanò et al. https://doi.org/10.5194/amt-9-5441-2016
- Precipitation Retrievals from Passive Microwave Cross-Track Sensors: The Precipitation Retrieval and Profiling Scheme C. Kidd et al. https://doi.org/10.3390/rs13050947
- Use of the GPM Constellation for Monitoring Heavy Precipitation Events Over the Mediterranean Region G. Panegrossi et al. https://doi.org/10.1109/JSTARS.2016.2520660
- The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer P. Sanò et al. https://doi.org/10.3390/rs10071122
- Comprehensive Evaluation of High-Resolution Satellite-Based Precipitation Products over China H. Guo et al. https://doi.org/10.3390/atmos7010006
- Resolving Surface Rain from GMI High-Frequency Channels: Limits Imposed by the Three-Dimensional Structure of Precipitation C. Guilloteau et al. https://doi.org/10.1175/JTECH-D-18-0011.1
- Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil L. Martins Costa do Amaral et al. https://doi.org/10.3390/rs10111743
- TMPA satellite model applied for determination of annual precipitations in road-building climatic zones in southwest Kyrgyzstan V. Efimenko et al. https://doi.org/10.31675/1607-1859-2021-23-4-147-158
Latest update: 03 Nov 2026
Altmetrics