Articles | Volume 15, issue 2
https://doi.org/10.5194/hess-15-437-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-15-437-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Feb 2011
Research article |
| 03 Feb 2011
Evaluation of rainfall retrievals from SEVIRI reflectances over West Africa using TRMM-PR and CMORPH
E. L. A. Wolters
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, The Netherlands
B. J. J. M. van den Hurk
Institute for Marine and Atmospheric Research Utrecht (IMAU), Utrecht University, P.O. Box 80000, 3508 TA Utrecht, The Netherlands
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, The Netherlands
R. A. Roebeling
Royal Netherlands Meteorological Institute (KNMI), P.O. Box 201, 3730 AE De Bilt, The Netherlands
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Cited
15 citations as recorded by crossref.
- The application of Rapid Scan data to the Convective Rainfall Rate algorithm from SAF NWC for the area of the Czech Republic V. Bližňák et al. https://doi.org/10.1016/j.atmosres.2012.07.027
- Gauging the ungauged: estimating rainfall in a West African urbanized river basin using ground-based and spaceborne sensors L. Bogerd et al. https://doi.org/10.1080/02626667.2023.2284871
- Correlating Extremes in Wind Divergence with Extremes in Rain over the Tropical Atlantic G. King et al. https://doi.org/10.3390/rs14051147
- Comparison of Ocean Surface Rain Rates From the Global Precipitation Mission and the Meteosat Second-Generation Satellite for Wind Scatterometer Quality Control X. Xu et al. https://doi.org/10.1109/JSTARS.2020.2995178
- Accuracy of satellite rainfall estimates in the Blue Nile Basin: Lowland plain versus highland mountain M. Gebremichael et al. https://doi.org/10.1002/2013WR014500
- Uncertainties in Evapotranspiration Estimates over West Africa H. Jung et al. https://doi.org/10.3390/rs11080892
- Identification of raining clouds using a method based on optical and microphysical cloud properties from Meteosat second generation daytime and nighttime data M. Lazri et al. https://doi.org/10.1007/s13201-013-0079-0
- Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry X. Xu & A. Stoffelen https://doi.org/10.5194/amt-14-7435-2021
- First results of the earth observation Water Cycle Multi-mission Observation Strategy (WACMOS) Z. Su et al. https://doi.org/10.1016/j.jag.2013.08.002
- Validation of GPM IMERG V05 and V06 Precipitation Products over Iran S. Hosseini-Moghari & Q. Tang https://doi.org/10.1175/JHM-D-19-0269.1
- Wavelet Scale Analysis of Mesoscale Convective Systems for Detecting Deep Convection From Infrared Imagery C. Klein et al. https://doi.org/10.1002/2017JD027432
- Triple Collocation of Summer Precipitation Retrievals from SEVIRI over Europe with Gridded Rain Gauge and Weather Radar Data R. Roebeling et al. https://doi.org/10.1175/JHM-D-11-089.1
- A New Data Fusion Neural Network Scheme for Rainfall Retrieval Using Passive Microwave and Visible/Infrared Satellite Data M. Sist et al. https://doi.org/10.3390/app11104686
- Artificial intelligence systems for rainy areas detection and convective cells' delineation for the south shore of Mediterranean Sea during day and nighttime using MSG satellite images M. Tebbi & B. Haddad https://doi.org/10.1016/j.atmosres.2016.04.013
- Application of Deep Neural Networks for Detecting Probable Areas of Precipitation and Thunderstorms V. Chursin & A. Kostornaya https://doi.org/10.3103/S1068373924040058
15 citations as recorded by crossref.
- The application of Rapid Scan data to the Convective Rainfall Rate algorithm from SAF NWC for the area of the Czech Republic V. Bližňák et al. https://doi.org/10.1016/j.atmosres.2012.07.027
- Gauging the ungauged: estimating rainfall in a West African urbanized river basin using ground-based and spaceborne sensors L. Bogerd et al. https://doi.org/10.1080/02626667.2023.2284871
- Correlating Extremes in Wind Divergence with Extremes in Rain over the Tropical Atlantic G. King et al. https://doi.org/10.3390/rs14051147
- Comparison of Ocean Surface Rain Rates From the Global Precipitation Mission and the Meteosat Second-Generation Satellite for Wind Scatterometer Quality Control X. Xu et al. https://doi.org/10.1109/JSTARS.2020.2995178
- Accuracy of satellite rainfall estimates in the Blue Nile Basin: Lowland plain versus highland mountain M. Gebremichael et al. https://doi.org/10.1002/2013WR014500
- Uncertainties in Evapotranspiration Estimates over West Africa H. Jung et al. https://doi.org/10.3390/rs11080892
- Identification of raining clouds using a method based on optical and microphysical cloud properties from Meteosat second generation daytime and nighttime data M. Lazri et al. https://doi.org/10.1007/s13201-013-0079-0
- Support vector machine tropical wind speed retrieval in the presence of rain for Ku-band wind scatterometry X. Xu & A. Stoffelen https://doi.org/10.5194/amt-14-7435-2021
- First results of the earth observation Water Cycle Multi-mission Observation Strategy (WACMOS) Z. Su et al. https://doi.org/10.1016/j.jag.2013.08.002
- Validation of GPM IMERG V05 and V06 Precipitation Products over Iran S. Hosseini-Moghari & Q. Tang https://doi.org/10.1175/JHM-D-19-0269.1
- Wavelet Scale Analysis of Mesoscale Convective Systems for Detecting Deep Convection From Infrared Imagery C. Klein et al. https://doi.org/10.1002/2017JD027432
- Triple Collocation of Summer Precipitation Retrievals from SEVIRI over Europe with Gridded Rain Gauge and Weather Radar Data R. Roebeling et al. https://doi.org/10.1175/JHM-D-11-089.1
- A New Data Fusion Neural Network Scheme for Rainfall Retrieval Using Passive Microwave and Visible/Infrared Satellite Data M. Sist et al. https://doi.org/10.3390/app11104686
- Artificial intelligence systems for rainy areas detection and convective cells' delineation for the south shore of Mediterranean Sea during day and nighttime using MSG satellite images M. Tebbi & B. Haddad https://doi.org/10.1016/j.atmosres.2016.04.013
- Application of Deep Neural Networks for Detecting Probable Areas of Precipitation and Thunderstorms V. Chursin & A. Kostornaya https://doi.org/10.3103/S1068373924040058
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