Articles | Volume 18, issue 12
https://doi.org/10.5194/hess-18-5077-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-18-5077-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Dec 2014
Research article |
| 11 Dec 2014
Satellite-driven downscaling of global reanalysis precipitation products for hydrological applications
H. Seyyedi
Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, USA
E. N. Anagnostou
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, USA
E. Beighley
Department of Civil and Environmental Engineering, Northeastern University, Boston, MA, USA
J. McCollum
Center for Property Risk Solutions, FM Global, Research Division, Norwood, MA 02062-9102, USA
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Cited
19 citations as recorded by crossref.
- An ERA‐5 Derived CONUS‐Wide High‐Resolution Precipitation Dataset Based on a Refined Parametric Statistical Downscaling Framework S. Emmanouil et al. 10.1029/2020WR029548
- Quantifying Precipitation Uncertainty for Land Data Assimilation Applications S. Alemohammad et al. 10.1175/MWR-D-14-00337.1
- Evaluation of the performance of TRMM Multi-satellite Precipitation Analysis (TMPA) estimation over Iran M. Darand et al. 10.1016/j.atmosres.2017.02.011
- Evaluation of various meteorological datasets in estimation yield and actual evapotranspiration of wheat and maize (case study: Qazvin plain) H. Ramezani Etedali & M. Ahmadi 10.1016/j.agwat.2021.107080
- Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China Q. Wang et al. 10.3390/w12113243
- Similarity and difference of global reanalysis datasets (WFD and APHRODITE) in driving lumped and distributed hydrological models in a humid region of China H. Xu et al. 10.1016/j.jhydrol.2016.09.011
- Mapping Areal Precipitation with Fusion Data by ANN Machine Learning in Sparse Gauged Region G. Xu et al. 10.3390/app9112294
- Hydrological Responses of Headwater Basins to Monthly Perturbed Climate in the North American Cordillera K. Rasouli et al. 10.1175/JHM-D-18-0166.1
- Precision of raw and bias-adjusted satellite precipitation estimations (TRMM, IMERG, CMORPH, and PERSIANN) over extreme flood events: case study in Langat river basin, Malaysia E. Soo et al. 10.2166/wcc.2020.180
- Assessment and Comparison of TMPA Satellite Precipitation Products in Varying Climatic and Topographic Regimes in Morocco A. Milewski et al. 10.3390/rs70505697
- Using high-resolution satellite precipitation for flood frequency analysis: case study over the Connecticut River Basin M. Dis et al. 10.1111/jfr3.12250
- Multi-Scale Hydrologic Sensitivity to Climatic and Anthropogenic Changes in Northern Morocco A. Milewski et al. 10.3390/geosciences10010013
- Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas H. Kim et al. 10.1155/2017/1917372
- In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics Y. Yang et al. 10.1029/2018WR024178
- Inter-comparison of remotely sensed precipitation datasets over Kenya during 1998–2016 B. Ayugi et al. 10.1016/j.atmosres.2019.03.032
- Evaluation of Precipitation Datasets from TRMM Satellite and Down-scaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China L. Zhang et al. 10.1007/s11769-021-1205-9
- Integrating Runoff Generation and Flow Routing in Susquehanna River Basin to Characterize Key Hydrologic Processes Contributing to Maximum Annual Flood Events R. Ray et al. 10.1061/(ASCE)HE.1943-5584.0001389
- A new, long-term daily satellite-based rainfall dataset for operational monitoring in Africa R. Maidment et al. 10.1038/sdata.2017.63
- Flood Forecasting GIS Water-Flow Visualization Enhancement (WaVE): A Case Study T. Petty et al. 10.4236/jgis.2016.86055
16 citations as recorded by crossref.
- An ERA‐5 Derived CONUS‐Wide High‐Resolution Precipitation Dataset Based on a Refined Parametric Statistical Downscaling Framework S. Emmanouil et al. 10.1029/2020WR029548
- Quantifying Precipitation Uncertainty for Land Data Assimilation Applications S. Alemohammad et al. 10.1175/MWR-D-14-00337.1
- Evaluation of the performance of TRMM Multi-satellite Precipitation Analysis (TMPA) estimation over Iran M. Darand et al. 10.1016/j.atmosres.2017.02.011
- Evaluation of various meteorological datasets in estimation yield and actual evapotranspiration of wheat and maize (case study: Qazvin plain) H. Ramezani Etedali & M. Ahmadi 10.1016/j.agwat.2021.107080
- Multi-Scenario Integration Comparison of CMADS and TMPA Datasets for Hydro-Climatic Simulation over Ganjiang River Basin, China Q. Wang et al. 10.3390/w12113243
- Similarity and difference of global reanalysis datasets (WFD and APHRODITE) in driving lumped and distributed hydrological models in a humid region of China H. Xu et al. 10.1016/j.jhydrol.2016.09.011
- Mapping Areal Precipitation with Fusion Data by ANN Machine Learning in Sparse Gauged Region G. Xu et al. 10.3390/app9112294
- Hydrological Responses of Headwater Basins to Monthly Perturbed Climate in the North American Cordillera K. Rasouli et al. 10.1175/JHM-D-18-0166.1
- Precision of raw and bias-adjusted satellite precipitation estimations (TRMM, IMERG, CMORPH, and PERSIANN) over extreme flood events: case study in Langat river basin, Malaysia E. Soo et al. 10.2166/wcc.2020.180
- Assessment and Comparison of TMPA Satellite Precipitation Products in Varying Climatic and Topographic Regimes in Morocco A. Milewski et al. 10.3390/rs70505697
- Using high-resolution satellite precipitation for flood frequency analysis: case study over the Connecticut River Basin M. Dis et al. 10.1111/jfr3.12250
- Multi-Scale Hydrologic Sensitivity to Climatic and Anthropogenic Changes in Northern Morocco A. Milewski et al. 10.3390/geosciences10010013
- Development and Assessment of the Sand Dust Prediction Model by Utilizing Microwave-Based Satellite Soil Moisture and Reanalysis Datasets in East Asian Desert Areas H. Kim et al. 10.1155/2017/1917372
- In Quest of Calibration Density and Consistency in Hydrologic Modeling: Distributed Parameter Calibration against Streamflow Characteristics Y. Yang et al. 10.1029/2018WR024178
- Inter-comparison of remotely sensed precipitation datasets over Kenya during 1998–2016 B. Ayugi et al. 10.1016/j.atmosres.2019.03.032
- Evaluation of Precipitation Datasets from TRMM Satellite and Down-scaled Reanalysis Products with Bias-correction in Middle Qilian Mountain, China L. Zhang et al. 10.1007/s11769-021-1205-9
3 citations as recorded by crossref.
- Integrating Runoff Generation and Flow Routing in Susquehanna River Basin to Characterize Key Hydrologic Processes Contributing to Maximum Annual Flood Events R. Ray et al. 10.1061/(ASCE)HE.1943-5584.0001389
- A new, long-term daily satellite-based rainfall dataset for operational monitoring in Africa R. Maidment et al. 10.1038/sdata.2017.63
- Flood Forecasting GIS Water-Flow Visualization Enhancement (WaVE): A Case Study T. Petty et al. 10.4236/jgis.2016.86055
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Short summary
The paper presents a methodology for using global precipitation products from satellite remote sensing to error-correct and downscale global atmospheric reanalysis precipitation data sets. It is shown that streamflow simulations from the satellite-adjusted precipitation reanalysis give similar statistics to the ones derived by high-resolution ground-based radar rainfall data sets. This approach can be applied globally to derive improved flood frequency maps over data-poor areas.
The paper presents a methodology for using global precipitation products from satellite remote...
