Articles | Volume 8, issue 2
https://doi.org/10.5194/amt-8-837-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-837-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The Passive microwave Neural network Precipitation Retrieval (PNPR) algorithm for AMSU/MHS observations: description and application to European case studies
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), 00133 Rome, Italy
G. Panegrossi
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), 00133 Rome, Italy
D. Casella
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), 00133 Rome, Italy
F. Di Paola
Institute of Methodologies for Environmental Analysis (IMAA), Italian National Research Council (CNR), C.da S.Loja, Tito Scalo, 85050 Potenza, Italy
L. Milani
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), 00133 Rome, Italy
A. Mugnai
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), 00133 Rome, Italy
M. Petracca
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), 00133 Rome, Italy
S. Dietrich
Institute of Atmospheric Sciences and Climate (ISAC), Italian National Research Council (CNR), 00133 Rome, Italy
Viewed
Total article views: 3,252 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Sep 2014)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,904 | 1,238 | 110 | 3,252 | 126 | 130 |
- HTML: 1,904
- PDF: 1,238
- XML: 110
- Total: 3,252
- BibTeX: 126
- EndNote: 130
Total article views: 2,610 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Feb 2015)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
1,571 | 947 | 92 | 2,610 | 114 | 116 |
- HTML: 1,571
- PDF: 947
- XML: 92
- Total: 2,610
- BibTeX: 114
- EndNote: 116
Total article views: 642 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 15 Sep 2014)
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
333 | 291 | 18 | 642 | 12 | 14 |
- HTML: 333
- PDF: 291
- XML: 18
- Total: 642
- BibTeX: 12
- EndNote: 14
Cited
46 citations as recorded by crossref.
- Assessment of mesoscale convective systems using IR brightness temperature in the southwest of Iran S. Rafati & M. Karimi 10.1007/s00704-016-1797-7
- Global monitoring of deep convection using passive microwave observations J. Rysman et al. 10.1016/j.atmosres.2020.105244
- Passive Microwave Rainfall Error Analysis Using High-Resolution X-Band Dual-Polarization Radar Observations in Complex Terrain Y. Derin et al. 10.1109/TGRS.2017.2763622
- Potential of microwave observations for the evaluation of rainfall and convection in a regional climate model in the frame of HyMeX and MED-CORDEX J. Rysman et al. 10.1007/s00382-016-3203-7
- Warm Core and Deep Convection in Medicanes: A Passive Microwave-Based Investigation G. Panegrossi et al. 10.3390/rs15112838
- 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. 10.5194/amt-9-5441-2016
- GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm S. Pfreundschuh et al. 10.5194/amt-15-5033-2022
- Global Precipitation Estimates from Cross-Track Passive Microwave Observations Using a Physically Based Retrieval Scheme C. Kidd et al. 10.1175/JHM-D-15-0051.1
- Integration of shapley additive explanations with random forest model for quantitative precipitation estimation of mesoscale convective systems Z. He et al. 10.3389/fenvs.2022.1057081
- Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction E. Ricciardelli et al. 10.3390/rs10101549
- A Machine Learning Snowfall Retrieval Algorithm for ATMS P. Sanò et al. 10.3390/rs14061467
- Severe convection in the Mediterranean from microwave observations and a convection‐permitting model J. Rysman et al. 10.1002/qj.2611
- Rainfall Algorithms Using Oceanic Satellite Observations from MWHS-2 R. Chen & R. Bennartz 10.1007/s00376-020-0258-5
- Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil L. Martins Costa do Amaral et al. 10.3390/rs10111743
- Reconstructing Satellite-Based Monthly Precipitation over Northeast China Using Machine Learning Algorithms W. Jing et al. 10.3390/rs9080781
- A Prototype Precipitation Retrieval Algorithm over Land for ATMS Y. You et al. 10.1175/JHM-D-15-0163.1
- Precipitation Intensity Trend Detection using Hourly and Daily Observations in Portland, Oregon A. Cooley & H. Chang 10.3390/cli5010010
- Three Dimensional Radiative Effects in Passive Millimeter/Sub-Millimeter All-sky Observations V. Barlakas & P. Eriksson 10.3390/rs12030531
- Use of the GPM Constellation for Monitoring Heavy Precipitation Events Over the Mediterranean Region G. Panegrossi et al. 10.1109/JSTARS.2016.2520660
- Retrieval of Atmospheric Profiles in the New York State Mesonet Using One‐Dimensional Variational Algorithm J. Yang & Q. Min 10.1029/2018JD028272
- The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer P. Sanò et al. 10.3390/rs10071122
- Spatio-temporal variations of precipitation considering the orographic effects on Jeju Island M. Um et al. 10.1016/j.atmosres.2016.07.007
- The Use of TRMM 3B42 Product for Drought Monitoring in Mexico A. De Jesús et al. 10.3390/w8080325
- PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al. 10.5194/gmd-17-2053-2024
- The High lAtitude sNowfall Detection and Estimation aLgorithm for ATMS (HANDEL-ATMS): a new algorithm for snowfall retrieval at high latitudes A. Camplani et al. 10.5194/amt-17-2195-2024
- A New Data Fusion Neural Network Scheme for Rainfall Retrieval Using Passive Microwave and Visible/Infrared Satellite Data M. Sist et al. 10.3390/app11104686
- Detecting change in precipitation indices using observed (1977–2016) and modeled future climate data in Portland, Oregon, USA A. Cooley & H. Chang 10.2166/wcc.2020.043
- Precipitation Retrieval from FY-3G/MWRI-RM Based on SMOTE-LGBM Y. Lv et al. 10.3390/atmos15111268
- Can We Use Atmospheric Targets for Geolocating Spaceborne Millimeter-Wave Ice Cloud Imager (ICI) Acquisitions? D. Casella et al. 10.1109/TGRS.2022.3145638
- Improving Overland Precipitation Retrieval with Brightness Temperature Temporal Variation Y. You et al. 10.1175/JHM-D-17-0050.1
- Daily precipitation estimation through different microwave sensors: Verification study over Italy L. Ciabatta et al. 10.1016/j.jhydrol.2016.12.057
- Stratiform/convective rain delineation for TRMM microwave imager T. Islam et al. 10.1016/j.jastp.2015.07.009
- 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 10.1175/JTECH-D-19-0067.1
- 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. 10.3788/AOS241175
- The Passive Microwave Neural Network Precipitation Retrieval Algorithm for Climate Applications (PNPR-CLIM): Design and Verification L. Bagaglini et al. 10.3390/rs13091701
- Precipitation Retrievals from Passive Microwave Cross-Track Sensors: The Precipitation Retrieval and Profiling Scheme C. Kidd et al. 10.3390/rs13050947
- Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements X. Li et al. 10.5194/amt-14-7007-2021
- Can severe rain events over the Mediterranean region be detected through simple numerical indices? B. Ziv et al. 10.1007/s11069-016-2385-y
- The Cloud Dynamics and Radiation Database Algorithm for AMSR2: Exploitation of the GPM Observational Dataset for Operational Applications D. Casella et al. 10.1109/JSTARS.2017.2713485
- A Comparison of Different Regression Algorithms for Downscaling Monthly Satellite-Based Precipitation over North China W. Jing et al. 10.3390/rs8100835
- Multiscale and Multilevel Feature Fusion Network for Quantitative Precipitation Estimation With Passive Microwave Z. Wang et al. 10.1109/TGRS.2024.3396379
- Mapping Fine Spatial Resolution Precipitation from TRMM Precipitation Datasets Using an Ensemble Learning Method and MODIS Optical Products in China X. Zhao et al. 10.3390/su9101912
- A novel algorithm for detection of precipitation in tropical regions using PMW radiometers D. Casella et al. 10.5194/amt-8-1217-2015
- Novel SVM-based technique to improve rainfall estimation over the Mediterranean region (north of Algeria) using the multispectral MSG SEVIRI imagery M. Sehad et al. 10.1016/j.asr.2016.11.042
- A First Step towards Meteosat Third Generation Day-2 Precipitation Rate Product: Deep Learning for Precipitation Rate Retrieval from Geostationary Infrared Measurements L. D’Adderio et al. 10.3390/rs15245662
- Assessment and Comparison of TMPA Satellite Precipitation Products in Varying Climatic and Topographic Regimes in Morocco A. Milewski et al. 10.3390/rs70505697
45 citations as recorded by crossref.
- Assessment of mesoscale convective systems using IR brightness temperature in the southwest of Iran S. Rafati & M. Karimi 10.1007/s00704-016-1797-7
- Global monitoring of deep convection using passive microwave observations J. Rysman et al. 10.1016/j.atmosres.2020.105244
- Passive Microwave Rainfall Error Analysis Using High-Resolution X-Band Dual-Polarization Radar Observations in Complex Terrain Y. Derin et al. 10.1109/TGRS.2017.2763622
- Potential of microwave observations for the evaluation of rainfall and convection in a regional climate model in the frame of HyMeX and MED-CORDEX J. Rysman et al. 10.1007/s00382-016-3203-7
- Warm Core and Deep Convection in Medicanes: A Passive Microwave-Based Investigation G. Panegrossi et al. 10.3390/rs15112838
- 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. 10.5194/amt-9-5441-2016
- GPROF-NN: a neural-network-based implementation of the Goddard Profiling Algorithm S. Pfreundschuh et al. 10.5194/amt-15-5033-2022
- Global Precipitation Estimates from Cross-Track Passive Microwave Observations Using a Physically Based Retrieval Scheme C. Kidd et al. 10.1175/JHM-D-15-0051.1
- Integration of shapley additive explanations with random forest model for quantitative precipitation estimation of mesoscale convective systems Z. He et al. 10.3389/fenvs.2022.1057081
- Analysis of Livorno Heavy Rainfall Event: Examples of Satellite-Based Observation Techniques in Support of Numerical Weather Prediction E. Ricciardelli et al. 10.3390/rs10101549
- A Machine Learning Snowfall Retrieval Algorithm for ATMS P. Sanò et al. 10.3390/rs14061467
- Severe convection in the Mediterranean from microwave observations and a convection‐permitting model J. Rysman et al. 10.1002/qj.2611
- Rainfall Algorithms Using Oceanic Satellite Observations from MWHS-2 R. Chen & R. Bennartz 10.1007/s00376-020-0258-5
- Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil L. Martins Costa do Amaral et al. 10.3390/rs10111743
- Reconstructing Satellite-Based Monthly Precipitation over Northeast China Using Machine Learning Algorithms W. Jing et al. 10.3390/rs9080781
- A Prototype Precipitation Retrieval Algorithm over Land for ATMS Y. You et al. 10.1175/JHM-D-15-0163.1
- Precipitation Intensity Trend Detection using Hourly and Daily Observations in Portland, Oregon A. Cooley & H. Chang 10.3390/cli5010010
- Three Dimensional Radiative Effects in Passive Millimeter/Sub-Millimeter All-sky Observations V. Barlakas & P. Eriksson 10.3390/rs12030531
- Use of the GPM Constellation for Monitoring Heavy Precipitation Events Over the Mediterranean Region G. Panegrossi et al. 10.1109/JSTARS.2016.2520660
- Retrieval of Atmospheric Profiles in the New York State Mesonet Using One‐Dimensional Variational Algorithm J. Yang & Q. Min 10.1029/2018JD028272
- The Passive Microwave Neural Network Precipitation Retrieval (PNPR) Algorithm for the CONICAL Scanning Global Microwave Imager (GMI) Radiometer P. Sanò et al. 10.3390/rs10071122
- Spatio-temporal variations of precipitation considering the orographic effects on Jeju Island M. Um et al. 10.1016/j.atmosres.2016.07.007
- The Use of TRMM 3B42 Product for Drought Monitoring in Mexico A. De Jesús et al. 10.3390/w8080325
- PyRTlib: an educational Python-based library for non-scattering atmospheric microwave radiative transfer computations S. Larosa et al. 10.5194/gmd-17-2053-2024
- The High lAtitude sNowfall Detection and Estimation aLgorithm for ATMS (HANDEL-ATMS): a new algorithm for snowfall retrieval at high latitudes A. Camplani et al. 10.5194/amt-17-2195-2024
- A New Data Fusion Neural Network Scheme for Rainfall Retrieval Using Passive Microwave and Visible/Infrared Satellite Data M. Sist et al. 10.3390/app11104686
- Detecting change in precipitation indices using observed (1977–2016) and modeled future climate data in Portland, Oregon, USA A. Cooley & H. Chang 10.2166/wcc.2020.043
- Precipitation Retrieval from FY-3G/MWRI-RM Based on SMOTE-LGBM Y. Lv et al. 10.3390/atmos15111268
- Can We Use Atmospheric Targets for Geolocating Spaceborne Millimeter-Wave Ice Cloud Imager (ICI) Acquisitions? D. Casella et al. 10.1109/TGRS.2022.3145638
- Improving Overland Precipitation Retrieval with Brightness Temperature Temporal Variation Y. You et al. 10.1175/JHM-D-17-0050.1
- Daily precipitation estimation through different microwave sensors: Verification study over Italy L. Ciabatta et al. 10.1016/j.jhydrol.2016.12.057
- Stratiform/convective rain delineation for TRMM microwave imager T. Islam et al. 10.1016/j.jastp.2015.07.009
- 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 10.1175/JTECH-D-19-0067.1
- 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. 10.3788/AOS241175
- The Passive Microwave Neural Network Precipitation Retrieval Algorithm for Climate Applications (PNPR-CLIM): Design and Verification L. Bagaglini et al. 10.3390/rs13091701
- Precipitation Retrievals from Passive Microwave Cross-Track Sensors: The Precipitation Retrieval and Profiling Scheme C. Kidd et al. 10.3390/rs13050947
- Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements X. Li et al. 10.5194/amt-14-7007-2021
- Can severe rain events over the Mediterranean region be detected through simple numerical indices? B. Ziv et al. 10.1007/s11069-016-2385-y
- The Cloud Dynamics and Radiation Database Algorithm for AMSR2: Exploitation of the GPM Observational Dataset for Operational Applications D. Casella et al. 10.1109/JSTARS.2017.2713485
- A Comparison of Different Regression Algorithms for Downscaling Monthly Satellite-Based Precipitation over North China W. Jing et al. 10.3390/rs8100835
- Multiscale and Multilevel Feature Fusion Network for Quantitative Precipitation Estimation With Passive Microwave Z. Wang et al. 10.1109/TGRS.2024.3396379
- Mapping Fine Spatial Resolution Precipitation from TRMM Precipitation Datasets Using an Ensemble Learning Method and MODIS Optical Products in China X. Zhao et al. 10.3390/su9101912
- A novel algorithm for detection of precipitation in tropical regions using PMW radiometers D. Casella et al. 10.5194/amt-8-1217-2015
- Novel SVM-based technique to improve rainfall estimation over the Mediterranean region (north of Algeria) using the multispectral MSG SEVIRI imagery M. Sehad et al. 10.1016/j.asr.2016.11.042
- A First Step towards Meteosat Third Generation Day-2 Precipitation Rate Product: Deep Learning for Precipitation Rate Retrieval from Geostationary Infrared Measurements L. D’Adderio et al. 10.3390/rs15245662
Saved (final revised paper)
Latest update: 21 Nov 2024