Sensitivity of Distributed Hydrologic Simulations to Ground and Satellite Based Rainfall Products

Chintalapudi, Singaiah; Sharif, Hatim O.; Xie, Hongjie

doi:10.3390/w6051221

Cited by 27 publications

(31 citation statements)

References 43 publications

(67 reference statements)

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“…Satellite-based precipitation products with broad spatial coverage and continuous global observations have achieved enormous success in various applications [1][2][3][4][5][6][7][8]. Quantitative and systematical precipitation estimations from satellite-based precipitation products have been used in hydrology, climatology, and water-resources management [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation of Two Successive V3 and V4 IMERG Final Run Precipitation Products over Mainland China

et al. 2017

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Abstract:The Integrated Multi-satellitE Retrievals for Global Precipitation Measurement Final Run (IMERGF) product has now been upgraded to Version 4 (V4), which has been available since March 2017. Therefore, it is desirable to evaluate the characteristic differences between the V4 and the previous V3 products. A comprehensive performance evaluation of the errors of the successive V3 and V4 IMERGF products is performed with a comparison of the China daily Precipitation Analysis Products (CPAP) from March 2014 to February 2015. The version 6 Global Satellite Mapping of Precipitation (GSMaP) research product (which is another Global Precipitation Measurement (GPM) based precipitation product) is also used as a comparison in this study. Overall, the IMERGF-V4 product does not exhibit the anticipated improvement for China compared to the IMERGF-V3 product. An analysis of the metrics of annual daily average precipitation over China for the IMERGF-V3 and IMERGF-V4 products indicates a decrease of the relative bias (RB) from 3.70% to −7.18%, a decrease of the correlation coefficient (CC) from 0.91 to 0.89, an increase of the fractional standard error (FSE) from 0.49 to 0.56, and an increase of the root-mean-square error (RMSE) from 0.63 mm to 0.72 mm. Compared to the IMERGF-V3 product, the IMERGF-V4 product exhibits a significant underestimation of precipitation in the Qinghai-Tibetan plateau with a much lower RB of −60.91% (−58.19%, −65.30%, and −63.74%) based on the annual (summer, autumn, and winter) daily average precipitation and an even worse performance during winter (−72.33% of RB). In comparison, the GSMaP product outperforms the IMERGF-V3 and IMERGF-V4 products and has the smallest RMSE (0.47 mm/day), highest CC (0.95), lowest FSE (0.37), and best performance of the RB (−2.39%) in terms of annual daily precipitation over China. However, the GSMaP product underestimates the precipitation more than the IMERGF-V3 product for the arid XJ region.

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Section: Introductionmentioning

confidence: 99%

Comprehensive Evaluation of Two Successive V3 and V4 IMERG Final Run Precipitation Products over Mainland China

et al. 2017

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“…The temporal distributions of rainfall the three IMERG products are shown in Figure 8. [30,47] for details of model spin-up). The three GPM precipitation products were used to force the GSSHA model but the results forced by the final product will be discussed since this product is the one adjusted with climatology data and ground observations.…”

Section: Resultsmentioning

confidence: 99%

“…The GSSHA model was run for the period between 12:00 p.m. local time on 30 September 2015 and 10:30 a.m. on 5 November 2015 for the three catchments. The run was started one month in advance to spin up the model in order to obtain a reasonable estimate of the initial moisture content for each model grid (see Chintalapudi et al [30,47] for details of model spin-up). The three GPM precipitation products were used to force the GSSHA model but the results forced by the final product will be discussed since this product is the one adjusted with climatology data and ground observations.…”

Section: Resultsmentioning

confidence: 99%

“…In addition to these studies, the model has been validated over a densely urbanized catchment in Texas and the results demonstrated the benefit of the use of 30-m model grid over urban areas [25]. Different satellite products we used as input to GSSHA in simulation of several floods over a 3000 km 2 catchment in Texas [30] with satellite products of higher spatiotemporal resolutions producing the most reasonable runoff estimates. Another study over the Guadalupe River in Texas demonstrated that GSSHA was more successful in simulating events with multiple rainfall hiatuses than the HEC model [33].…”

Section: Introductionmentioning

confidence: 99%

“…Furl et al [23] used the model to describe the flood hydrology of a small urbanized basin in Austin, TX. Chintalapudi et al [30] used the GSSHA model to study the effect of land cover changes on peak discharge and runoff volumes with simulations driven by satellite rainfall products. Ogden et al [31] compared the GSSHA distributed model to the HEC-HMS (a lumped model).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Physically, Fully-Distributed Hydrologic Simulations Driven by GPM Satellite Rainfall over an Urbanizing Arid Catchment in Saudi Arabia

Sharif

Al-Zahrani

Hassan

2017

Water

Self Cite

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Abstract:A physically-based, distributed-parameter hydrologic model was used to simulate a recent flood event in the city of Hafr Al Batin, Saudi Arabia to gain a better understanding of the runoff generation and spatial distribution of flooding. The city is located in a very arid catchment. Flooding of the city is influenced by the presence of three major tributaries that join the main channel in and around the heavily urbanized area. The Integrated Multi-satellite Retrievals for Global Precipitation Measurement Mission (IMERG) rainfall product was used due to lack of detailed ground observations. To overcome the heavy computational demand, the catchment was divided into three sub-catchments with a variable model grid resolution. The model was run on three sub-catchments separately, without losing hydrologic connectivity among the sub-catchments. Uncalibrated and calibrated satellite products were used producing different estimates of the predicted runoff. The runoff simulations demonstrated that 85% of the flooding was generated in the urbanized portion of the catchments for the simulated flood. Additional model simulations were performed to understand the roles of the unique channel network in the city flooding. The simulations provided insights into the best options for flood mitigation efforts. The variable model grid size approach allowed using physically-based, distributed models-such as the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model used in this study-on large basins that include urban centers that need to be modeled at very high resolutions.

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Can meteorological model forecasts initialize hydrological simulations rather than observed data in ungauged basins?

Ceppi,

Chaves González,

Davolio

et al. 2023

Meteorological Applications

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Floods are among natural disasters which cause the largest damages worldwide each year, inducing fatalities of human lives, destruction of infrastructure and economical losses. Consequently, forecasting this type of events through hydro‐meteorological models is still of great importance from a civil protection point of view since it allows to reduce hydrological risk by means of early warning systems. Nevertheless, hydrological model initialization in ungauged basins, where there is lack of direct measurements of meteorological information, is a known issue affecting the entire prediction chain. The present study evaluates the possibility of using forecasts provided by the meteorological model MOLOCH developed by CNR‐ISAC forcing the FEST‐WB hydrological model developed by Politecnico di Milano to perform discharge simulations assuming that the forecasting errors are negligible when using the first 24 h of time horizon. The study is carried out in the urban catchments of Milan city, the Seveso‐Olona‐Lambro (SOL) river basins, located in northern Italy. The main hydro‐meteorological variables are analysed by comparing the spatialized and observed meteorological data, provided by an official regional network of weather stations plus a citizen scientists' contribution with the meteorological model forecasts. Moreover, a sensitivity analysis following the well‐known one‐factor‐at‐a‐time methodology is accomplished with the aim of defining which atmospheric forcing, beyond rainfall, mostly affects flowrate forecasts. Results generally show satisfactory correspondences between forecasts and observed data for the discharge variable at daily scale, although an underestimation of precipitation, particularly for severe events in summer, is present. Therefore, using meteorological forecasts to create daily initial conditions for hydrological model, instead of ground observations, might be a reliable and valuable approach, even if some considerations should be borne in mind when coupling the two models.

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Sensitivity of Distributed Hydrologic Simulations to Ground and Satellite Based Rainfall Products

Cited by 27 publications

References 43 publications

Comprehensive Evaluation of Two Successive V3 and V4 IMERG Final Run Precipitation Products over Mainland China

Comprehensive Evaluation of Two Successive V3 and V4 IMERG Final Run Precipitation Products over Mainland China

Physically, Fully-Distributed Hydrologic Simulations Driven by GPM Satellite Rainfall over an Urbanizing Arid Catchment in Saudi Arabia

Can meteorological model forecasts initialize hydrological simulations rather than observed data in ungauged basins?

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