Inter-Comparison of Gauge-Based Gridded Data, Reanalysis and Satellite Precipitation Product with an Emphasis on Hydrological Modeling

Setti, Sridhara; Rathinasamy, Maheswaran; Sridhar, Venkataramana; Barik, Kamal Kumar; Merz, Bruno; Agarwal, Ankit

doi:10.3390/atmos11111252

Cited by 34 publications

(11 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It also includes output components that allow for the analysis of various water-related systems in watersheds. Recent studies have used the SWAT model to evaluate the consequences of changing the climate on streamflow and sediment load [22,29,30]. For example, Mohseni et al (2023) [18] used the SWAT model to evaluate the impact of climate change and land use change on streamflow over the Parvara Mula Basin, India.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Impact of Climate Change on Streamflow and Sediment in the Nagavali and Vamsadhara Watersheds in India

et al. 2023

Self Cite

View full text Add to dashboard Cite

Climate-induced changes in precipitation and temperature can have a profound impact on watershed hydrological regimes, ultimately affecting agricultural yields and the quantity and quality of surface water systems. In India, the majority of the watersheds are facing water quality and quantity issues due to changes in the precipitation and temperature, which requires assessment and adaptive measures. This study seeks to evaluate the effects of climate change on the water quality and quantity at a regional scale in the Nagavali and Vamsadhara watersheds of eastern India. The impact rainfall variations in the study watersheds were modeled using the Soil and Water Assessment Tool (SWAT) with bias-corrected, statistically downscaled models from Coupled Model Intercomparison Project-6 (CMIP-6) data for historical (1975–2014), near future (2022–2060), and far future (2061–2100) timeframes using three Shared Socioeconomic Pathways (SSP) scenarios. The range of projected changes in percentage of mean annual precipitation and mean temperature varies from 0 to 41.7% and 0.7 °C to 2.7 °C in the future climate, which indicates a warmer and wetter climate in the Nagavali and Vamsadhara watersheds. Under SSP245, the average monthly changes in precipitation range from a decrease of 4.6% to an increase of 25.5%, while the corresponding changes in streamflow and sediment yield range from −11.2% to 41.2% and −15.6% to 44.9%, respectively. Similarly, under SSP370, the average monthly change in precipitation ranges from −3.6% to 36.4%, while the corresponding changes in streamflow and sediment yield range from −21.53% to 77.71% and −28.6% to 129.8%. Under SSP585, the average monthly change in precipitation ranges from −2.5% to 60.5%, while the corresponding changes in streamflow and sediment yield range from −15.8% to 134.4% and −21% to 166.5%. In the Nagavali and Vamsadhara watersheds, historical simulations indicate that 2438 and 5120 sq. km of basin areas, respectively, were subjected to high soil erosion. In contrast, under the far future Cold-Wet SSP585 scenario, 7468 and 9426 sq. km of basin areas in the Nagavali and Vamsadhara watersheds, respectively, are projected to experience high soil erosion. These results indicate that increased rainfall in the future (compared to the present) will lead to higher streamflow and sediment yield in both watersheds. This could have negative impacts on soil properties, agricultural lands, and reservoir capacity. Therefore, it is important to implement soil and water management practices in these river basins to reduce sediment loadings and mitigate these negative impacts.

show abstract

Section: Introductionmentioning

confidence: 99%

Assessment of the Impact of Climate Change on Streamflow and Sediment in the Nagavali and Vamsadhara Watersheds in India

et al. 2023

Self Cite

View full text Add to dashboard Cite

show abstract

“…In addition to using various statistical metrics, hydrological modeling has been increasingly utilized to compare the accuracy of SPPs and assess the performance of various bias correction methods [33][34][35]. In the Kashgar catchment in Xinjiang, China, [36] utilized daily SPPs, such as GSMaP, CHIRPS (Climate Hazards Group InfraRed Preconception with Station Data), 3B42, and SM2RAIN (Rainfall Estimation from Soil Moisture Observations), as rainfall inputs to establish hydrological SWAT (Soil and Water Assessment Tool) models.…”

Section: Introductionmentioning

confidence: 99%

Bias Correction of Hourly Satellite Precipitation Products and Their Application in Hydrological Modeling in a Hilly Watershed, China

Ye,

Lu,

Yang

et al. 2023

Water

View full text Add to dashboard Cite

Correcting the bias of satellite precipitation products (SPPs) based on ground rainfall observations is one effective approach to improve their performance. To date, there have been limited efforts in correcting the bias of hourly SPPs with mixed results. In this study, ratio bias correction (RBC) and probability density matching (PDF) are used to correct the bias of four hourly SPPs (GSMaP_NRT, IMERG_E, IMERG_L, and IMERG) based on ground rainfall observations in a hilly watershed, China. Furthermore, SWAT (Soil and Water Assessment Tool) models are developed using ground rainfall observations, original SPPs, and bias-corrected SPPs to simulate the daily streamflow at the Yuetan Hydrological Station so as to comprehensively compare the performance of the two bias correction methods and evaluate the potentials of the four hourly SPPs in hydrological modeling applications. Our study results show that both RBC and PDF could improve the accuracy of hourly SPPs to various degrees, with PDF outperforming RBC considerably. After being corrected by PDF, the CC values of the four SPPs all reached 0.65. In addition, the SWAT models utilizing the PDF-corrected SPPs simulated the daily streamflow at the Yuetan Station better than those utilizing the RBC-corrected SPPs. Specifically, PDF-corrected IMERG_F performed the best among the four hourly SPPs, with a R2 of 0.89, NSE of 0.89, and RB of −8.14%. After bias correction, hourly satellite precipitation products can be well applied to hydrological modeling in the region.

show abstract

“…Roti et al [31] reviewed the applicability of physically distributed models and concluded that the SWAT model outperformed AGNPS, ANSWERS and WEPP models [32,33] in both small and large areas [34]. Furthermore, with spatiotemporal variability of the hydrological process, SWAT produces acceptable results all over the world [35][36][37][38][39][40][41]. The majority of the recent studies used SWAT in conjunction with a geographical information system (GIS) interface for a variety of purposes, including modeling of runoff, soil moisture, sediment and water balance [19,21,[42][43][44], climate change [45] and identifying critical source areas and evaluation of best management practices (BMPs) for sediments and nutrients [20,33,46] across the world.…”

Section: Introductionmentioning

confidence: 99%

“…The Nagavali and Vamsadhara river basins in India are vulnerable to frequent floods [11,39,47,48]. These basins are mainly dominated by agricultural activities and forest cover, which provide a livelihood for farmers in the Odisha districts of Kalahandi, Koraput and Rayagada, as well as the Andhra Pradesh districts of Srikakulam and Vizianagaram.…”

Section: Introductionmentioning

confidence: 99%

Streamflow and Sediment Yield Analysis of Two Medium-Sized East-Flowing River Basins of India

Nagireddy

Reddy

Sridhar

et al. 2022

Water

Self Cite

View full text Add to dashboard Cite

With increased demand for water and soil in this Anthropocene era, it is necessary to understand the water balance components and critical source areas of land degradation that lead to soil erosion in agricultural dominant river basins. Two medium-sized east-flowing rivers in India, namely Nagavali and Vamsadhara, play a significant role in supporting water supply and agriculture demands in parts of the Odisha districts of Kalahandi, Koraput and Rayagada, as well as the Andhra Pradesh districts of Srikakulam and Vizianagaram. Floods are more likely in these basins as a result of cyclones and low-pressure depressions in the Bay of Bengal. The water balance components and sediment yield of the Nagavali and Vamsadhara river basins were assessed using a semi-distributed soil and water assessment tool (SWAT) model in this study. The calibrated model performance revealed a high degree of consistency between observed and predicted monthly streamflow and sediment load. The water balance analysis of Nagavali and Vamsadhara river basins showed the evapotranspiration accounted for 63% of the average annual rainfall. SWAT simulated evapotranspiration showed a correlation of 0.78 with FLDAS data. The calibrated SWAT model showed that 26.5% and 49% of watershed area falling under high soil erosion class over Nagavali and Vamsadhara river basins, respectively. These sub watersheds require immediate attention to management practices to improve the soil and water conservation measures.

show abstract

Inter-Comparison of Gauge-Based Gridded Data, Reanalysis and Satellite Precipitation Product with an Emphasis on Hydrological Modeling

Cited by 34 publications

References 75 publications

Assessment of the Impact of Climate Change on Streamflow and Sediment in the Nagavali and Vamsadhara Watersheds in India

Assessment of the Impact of Climate Change on Streamflow and Sediment in the Nagavali and Vamsadhara Watersheds in India

Bias Correction of Hourly Satellite Precipitation Products and Their Application in Hydrological Modeling in a Hilly Watershed, China

Streamflow and Sediment Yield Analysis of Two Medium-Sized East-Flowing River Basins of India

Contact Info

Product

Resources

About