Articles | Volume 19, issue 8
https://doi.org/10.5194/hess-19-3489-2015
© 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/hess-19-3489-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Characterization of precipitation product errors across the United States using multiplicative triple collocation
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
K. A. McColl
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
A. G. Konings
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
D. Entekhabi
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
A. Stoffelen
Koninklijk Nederlands Meteorologisch Instituut (KNMI), R&D Satellite Observations, De Bilt, the Netherlands
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- Simulation of Ship-Track versus Satellite-Sensor Differences in Oceanic Precipitation Using an Island-Based Radar J. Burdanowitz et al. 10.3390/rs9060593
- Evaluation of satellite precipitation products using HEC-HMS model A. Belayneh et al. 10.1007/s40808-020-00792-z
- Evaluation of Satellite Precipitation Estimates over the South West Pacific Region A. Wild et al. 10.3390/rs13193929
- Suitability of 17 gridded rainfall and temperature datasets for large-scale hydrological modelling in West Africa M. Dembélé et al. 10.5194/hess-24-5379-2020
- Modeling and Evaluating Systematic and Random Errors in Multiscale GPM IMERG Summer Precipitation Estimates Over the Sichuan Basin S. Tang et al. 10.1109/JSTARS.2021.3076197
- Stand-alone uncertainty characterization of GLEAM, GLDAS and MOD16 evapotranspiration products using an extended triple collocation approach M. Khan et al. 10.1016/j.agrformet.2018.01.022
- Triple Collocation-Based Uncertainty Analysis and Data Fusion of Multi-Source Evapotranspiration Data Across China D. Wang et al. 10.3390/atmos15121410
- Caravan - A global community dataset for large-sample hydrology F. Kratzert et al. 10.1038/s41597-023-01975-w
- Remote Sensing-Based Estimates of Changes in Stored Groundwater at Local Scales: Case Study for Two Groundwater Subbasins in California’s Central Valley A. Ahamed et al. 10.3390/rs15082100
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- Investigating the Potential of Using Satellite‐Based Precipitation Radars as Reference for Evaluating Multisatellite Merged Products S. Khan et al. 10.1029/2018JD028584
- A novel error decomposition and fusion framework for daily precipitation estimation based on near-real-time satellite precipitation product and gauge observations J. Shi et al. 10.1016/j.jhydrol.2024.131715
- Comparison of traditional method and triple collocation analysis for evaluation of multiple gridded precipitation products across Germany Z. Duan et al. 10.1175/JHM-D-21-0049.1
- Trends analysis of Evapotranspiration and responses to soil moisture and wind speed over the Taklimakan Desert, China J. Lang et al. 10.1080/15324982.2024.2393337
- Detecting vulnerability of humid tropical forests to multiple stressors S. Saatchi et al. 10.1016/j.oneear.2021.06.002
- Quantifying the Reliability and Uncertainty of Satellite, Reanalysis, and Merged Precipitation Products in Hydrological Simulations over the Topographically Diverse Basin in Southwest China H. Lei et al. 10.3390/rs15010213
- A note on leveraging synergy in multiple meteorological data sets with deep learning for rainfall–runoff modeling F. Kratzert et al. 10.5194/hess-25-2685-2021
- Disentangling error structures of precipitation datasets using decision trees X. Sui et al. 10.1016/j.rse.2022.113185
- How to enhance the inverse distance weighting method to detect the precipitation pattern in a large-scale watershed A. Ghomlaghi et al. 10.1080/02626667.2022.2124874
- Global evaluation of terrestrial near-surface air temperature and specific humidity retrievals from the Atmospheric Infrared Sounder (AIRS) J. Sun et al. 10.1016/j.rse.2020.112146
- Robust effects of cloud superparameterization on simulated daily rainfall intensity statistics across multiple versions of the Community Earth System Model G. Kooperman et al. 10.1002/2015MS000574
- Impact of climate change on the long-term water balance in the Yarlung Zangbo basin Y. Deng et al. 10.3389/feart.2023.1107809
- Daily precipitation estimation through different microwave sensors: Verification study over Italy L. Ciabatta et al. 10.1016/j.jhydrol.2016.12.057
- Characterization of the Systematic and Random Errors in Satellite Precipitation Using the Multiplicative Error Model G. Tang 10.1109/TGRS.2020.3028525
- Terrestrial Water Storage Change Retrieved by GRACE and Its Implication in the Tibetan Plateau: Estimating Areal Precipitation in Ungauged Region Y. Jia et al. 10.3390/rs12193129
- Cross-Examining Precipitation Products by Rain Gauge, Remote Sensing, and WRF Simulations over a South American Region across the Pacific Coast and Andes M. Chen et al. 10.3390/atmos13101666
- Characterizing the performances of different observational precipitation products and their uncertainties over Africa B. Ayugi et al. 10.1088/1748-9326/ad416b
- How Well Do Multisatellite Products Capture the Space–Time Dynamics of Precipitation? Part II: Building an Error Model through Spectral System Identification C. Guilloteau et al. 10.1175/JHM-D-22-0041.1
- A combined extended triple collocation and cumulative distribution function merging framework for improved daily precipitation estimates over mainland China L. Wei et al. 10.1016/j.jhydrol.2024.131757
- Expert-based prior uncertainty analysis of gridded water balance components: Application to the irrigated Hindon River Basin, India R. Mourad et al. 10.1016/j.ejrh.2024.101935
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- Quantifying Precipitation Uncertainty for Land Data Assimilation Applications S. Alemohammad et al. 10.1175/MWR-D-14-00337.1
- Statistical Validation of MODIS-Based Sea Surface Temperature in Shallow Semi-Enclosed Marginal Sea: A Comparison between Direct Matchup and Triple Collocation A. Saleh & B. Al-Anzi 10.3390/w13081078
- Updating real‐time flood forecasts via the dynamic system response curve method W. Si et al. 10.1002/2015WR017234
- Triple Collocation Based Multi-Source Precipitation Merging J. Dong et al. 10.3389/frwa.2020.00001
- Integration of multiple drought indices using a triple collocation approach J. Baik et al. 10.1007/s00477-021-02044-7
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Short summary
This paper introduces a new variant of the triple collocation technique with multiplicative error model. The method is applied, for the first time, to precipitation products across the central part of continental USA. Results show distinctive patterns of error variance in each product that are estimated without a priori assumption of any of the error distributions. The correlation coefficients between each product and the truth are also estimated, which provides another performance perspective.
This paper introduces a new variant of the triple collocation technique with multiplicative...