Evaluating the Potential of GloFAS-ERA5 River Discharge Reanalysis Data for Calibrating the SWAT Model in the Grande San Miguel River Basin (El Salvador)

Hydrological modelling requires accurate climate data with high spatial-temporal resolution, which is often unavailable in certain parts of the world—such as Central America. Numerous studies have previously demonstrated that in hydrological modelling, global weather reanalysis data provides a viable alternative to observed data. However, calibrating and validating models requires the use of observed discharge data, which is also frequently unavailable. Recent, global-scale applications have been developed based on weather data from reanalysis; these applications allow streamflows with satisfactory resolution to be obtained. An example is the Global Flood Awareness System (GloFAS), which uses the fifth generation of reanalysis data produced by the European Centre for Medium-Range Weather Forecasts (ERA5) as input. It provides discharge data from 1979 to the present with a resolution of 0.1°. This study assesses the potential of GloFAS for calibrating hydrological models in ungauged basins. For this purpose, the quality of data from ERA5 and from the Climate Hazards Group InfraRed Precipitation and Temperature with Station as well as the Climate Forecast System Reanalysis (CFSR) was analysed. The focus was on flow simulation using the Soil and Water Assessment Tool (SWAT) model. The models were calibrated using GloFAS discharge data. Our results indicate that all the reanalysis datasets displayed an acceptable fit with the observed precipitation and temperature data. The correlation coefficient (CC) between the reanalysis data and the observed data indicates a strong relationship at the monthly level all of the analysed stations (CC > 0.80). The Kling–Gupta Efficiency (KGE) also showed the acceptable performance of the calibrated SWAT models (KGE > 0.74). We concluded that GloFAS data has substantial potential for calibrating hydrological models that estimate the monthly streamflow in ungauged watersheds. This approach can aid water resource management.

[1]  Srinivas Kolluru,et al.  Evaluation and integration of reanalysis rainfall products under contrasting climatic conditions in India , 2020 .

[2]  K. Abbaspour,et al.  Global soil, landuse, evapotranspiration, historical and future weather databases for SWAT Applications , 2019, Scientific Data.

[3]  J. Hamlett,et al.  Hydrologic calibration of the SWAT model in a watershed containing fragipan soils , 1998 .

[4]  P. Salamon,et al.  A global streamflow reanalysis for 1980–2018 , 2020, Journal of hydrology: X.

[5]  P. Coulibaly,et al.  Inter-comparison of lumped hydrological models in data-scarce watersheds using different precipitation forcing data sets: Case study of Northern Ontario, Canada , 2020 .

[6]  N. Lakshman,et al.  Performance Evaluation of SWAT Model for Land Use and Land Cover Changes in Semi-Arid Climatic Conditions: A Review , 2015 .

[7]  Javier Senent-Aparicio,et al.  Using SWAT and Fuzzy TOPSIS to Assess the Impact of Climate Change in the Headwaters of the Segura River Basin (SE Spain) , 2017 .

[8]  Florian Pappenberger,et al.  A revised land hydrology in the ECMWF model: a step towards daily water flux prediction in a fully‐closed water cycle , 2011 .

[9]  X. Wen,et al.  Identifying separate impacts of climate and land use/cover change on hydrological processes in upper stream of Heihe River, Northwest China , 2017 .

[10]  R. Srinivasan,et al.  Assessment of climate and land use change impacts with SWAT , 2015, Regional Environmental Change.

[11]  Chong-Yu Xu,et al.  Statistical and hydrological evaluation of the latest Integrated Multi-satellitE Retrievals for GPM (IMERG) over a midlatitude humid basin in South China , 2018, Atmospheric Research.

[12]  Tracer hydrology of the data‐scarce and heterogeneous Central American Isthmus , 2020, Hydrological Processes.

[13]  Arthur P. Cracknell,et al.  Assessment of Three Long-Term Gridded Climate Products for Hydro-Climatic Simulations in Tropical River Basins , 2017 .

[14]  L. Dincă,et al.  Assessing the vulnerability of water resources in the context of climate changes in a small forested watershed using SWAT: A review. , 2020, Environmental research.

[15]  Maurizio Mazzoleni,et al.  Evaluating precipitation datasets for large-scale distributed hydrological modelling , 2019, Journal of Hydrology.

[16]  P. Peterson,et al.  Development and validation of the CHIRTS-daily quasi-global high-resolution daily temperature data set , 2020, Scientific data.

[17]  Chong-yu Xu,et al.  Blending multi-satellite, atmospheric reanalysis and gauge precipitation products to facilitate hydrological modelling , 2020 .

[18]  C. Levard,et al.  Geology and Mineralogy of Imogolite-Type Materials , 2016 .

[19]  Hongkai Gao,et al.  Hydrological evaluation of open-access precipitation and air temperature datasets using SWAT in a poorly gauged basin in Ethiopia , 2019, Journal of Hydrology.

[20]  S. Javadi,et al.  High accuracy of precipitation reanalyses resulted in good river discharge simulations in a semi-arid basin , 2019, Ecological Engineering.

[21]  Peter Salamon,et al.  Filling the gaps: Calibrating a rainfall-runoff model using satellite-derived surface water extent , 2015 .

[22]  Patricia Jimeno-Sáez,et al.  Analysing the Impact of Climate Change on Hydrological Ecosystem Services in Laguna del Sauce (Uruguay) Using the SWAT Model and Remote Sensing Data , 2021, Remote. Sens..

[23]  E. Anagnostou,et al.  Evaluation of Global Water Resources Reanalysis Runoff Products for Local Water Resources Applications: Case Study-Upper Blue Nile Basin of Ethiopia , 2019, Water Resources Management.

[24]  John R. Williams,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .

[25]  Jeffrey G. Arnold,et al.  Advances in ecohydrological modelling with SWAT—a review , 2008 .

[26]  E. Alfaro,et al.  Hydrological climate change projections for Central America , 2013 .

[27]  N. Kumari,et al.  Multi-Model Approach to Assess the Dynamics of Hydrologic Components in a Tropical Ecosystem , 2019, Water Resources Management.

[28]  J. Michaelsen,et al.  The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes , 2015, Scientific Data.

[29]  D. Bui,et al.  Adequacy of Satellite-derived Precipitation Estimate for Hydrological Modeling in Vietnam Basins , 2020 .

[30]  F. Brissette,et al.  Evaluation of the ERA5 reanalysis as a potential reference dataset for hydrological modelling over North America , 2020 .

[31]  Raghavan Srinivasan,et al.  Introducing a new open source GIS user interface for the SWAT model , 2016, Environ. Model. Softw..

[32]  M. Matin,et al.  Evaluation of Available Global Runoff Datasets Through a River Model in Support of Transboundary Water Management in South and Southeast Asia , 2019, Front. Environ. Sci..

[33]  N. Elagib,et al.  Hydrological responses to land use/cover changes in the source region of the Upper Blue Nile Basin, Ethiopia. , 2017, The Science of the total environment.

[34]  K. Abbaspour,et al.  Modelling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT , 2007 .

[35]  J. Pérez-Sánchez,et al.  Assessing Impacts of Climate Variability and Reforestation Activities on Water Resources in the Headwaters of the Segura River Basin (SE Spain) , 2018, Sustainability.

[36]  M. Tan,et al.  Effect of rainfall station density, distribution and missing values on SWAT outputs in tropical region , 2020 .

[37]  J. Pérez-Sánchez,et al.  Impact of Climate Change on Water Balance Components and Droughts in the Guajoyo River Basin (El Salvador) , 2019, Water.

[38]  Raghavan Srinivasan,et al.  A Comparative Evaluation of the Performance of CHIRPS and CFSR Data for Different Climate Zones Using the SWAT Model , 2020, Remote. Sens..

[39]  B. Engel,et al.  Efficient flow calibration method for accurate estimation of baseflow using a watershed scale hydrological model (SWAT) , 2018, Ecological Engineering.

[40]  J. M. Van Der Knijff,et al.  LISFLOOD : a GIS-based distributed model for river basin scale water balance and flood simulation , 2008 .

[41]  Modeling streamflow using multiple precipitation products in a topographically complex catchment , 2021, Modeling Earth Systems and Environment.

[42]  José M. Cecilia,et al.  Impacts of swat weather generator statistics from high-resolution datasets on monthly streamflow simulation over Peninsular Spain , 2021 .

[43]  Rajendra Singh,et al.  Implementation of cell-to-cell routing scheme in a large scale conceptual hydrological model , 2018, Environ. Model. Softw..

[44]  S. S. Zanetti,et al.  Application of the SWAT hydrologic model to a tropical watershed at Brazil , 2015 .

[45]  Jun Wang,et al.  Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland , 2020 .

[46]  J. Thepaut,et al.  The ERA5 global reanalysis , 2020, Quarterly Journal of the Royal Meteorological Society.

[47]  J. Pérez-Sánchez,et al.  A Comparison of SWAT and ANN Models for Daily Runoff Simulation in Different Climatic Zones of Peninsular Spain , 2018 .

[48]  P. Gassman,et al.  A review of alternative climate products for SWAT modelling: Sources, assessment and future directions. , 2021, The Science of the total environment.

[49]  Denis A. Hughes,et al.  Comparison of satellite rainfall data with observations from gauging station networks , 2006 .

[50]  N. B. Bonumà,et al.  Two calibration methods for modeling streamflow and suspended sediment with the swat model , 2019, Ecological Engineering.

[51]  Tiesong Hu,et al.  Impending Hydrological Regime of Lhasa River as Subjected to Hydraulic Interventions - A SWAT Model Manifestation , 2021, Remote. Sens..

[52]  J. Pérez-Sánchez,et al.  Assessment of future hydrologic alteration due to climate change in the Aracthos River basin (NW Greece). , 2020, The Science of the total environment.

[53]  R. Silva,et al.  Hydrological simulation in a tropical humid basin in the Cerrado biome using the SWAT model , 2018 .

[54]  P. Salamon,et al.  GloFAS-ERA5 operational global river discharge reanalysis 1979–present , 2020, Earth System Science Data.

[55]  C. Young,et al.  Input uncertainty on watershed modeling: Evaluation of precipitation and air temperature data by latent variables using SWAT , 2018, Ecological Engineering.

[56]  Jeffrey G. Arnold,et al.  Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations , 2007 .

[57]  J. Senent-Aparicio,et al.  Coupling SWAT Model and CMB Method for Modeling of High-Permeability Bedrock Basins Receiving Interbasin Groundwater Flow , 2020, Water.