Assessing the Climate Forecast System Reanalysis Weather Data Driven Hydrological Model for the Yangtze River Basin in China

Abstract

It is a challenge to adequately represent meteorological data for river basin modelling in datascarce regions. Hydrological models may benefit from alternative climate data sources such as the Climate Forecast System Reanalysis (CFSR) weather data. A proposed method was applied to evaluate the applicability of CFSR data in the Soil and Water Assessment Tool (SWAT) eco-hydrological model for the 1.8×10 6 km 2 Yangtze River Basin (YRB) in China. The CFSR data were first validated by ground-based meteorological station (GMS) data to confirm sufficient accuracy to predict the hydrology for the YRB. It was determined that the CFSR simulation was able to generate acceptable accuracy with calibrated parameters of GMS-based model. The R 2 and ENS of the monthly results from both GMS-and CFSR-SWAT simulations were > 0.70 in both calibration and validation periods. The monthly streamflow hydrograph from GMS and CFSR simulations showed two different patterns: distinct differences in baseflow and less discrepancy for the peak flows, such as the patterns at Cuntan and Yichang gauge stations, whereas the results are characterized as close matches the peaks and the recession periods at Hankou and Datong gauge stations. The CFSR simulation generated better results in the middle and lower reaches than in the upper reach of the basin. To a certain extent, the CFSR provides an alternative to quickly build hydrological model in data scarce area for large basins.

Predicting Tropical Monsoon Hydrology Using CFSR and CMADS Data over the Cau River Basin in Vietnam

“…These values range from 0 to 1. A high FAR value and low POD and CSI values imply a more accurate quantification [41,42]. (iii) To evaluate the effectiveness of GMPs in capturing extreme weather events, this study selected indicators proposed by the "Climate Change Detection and Indicator Experts Group" [43] and "Circular on technical regulations and the process of dangerous hydro-meteorological forecasting of the MORNE, Vietnam" (2016).…”

Daily denitrification rates in floodplains under contrasting pedo-climatic and anthropogenic contexts: modelling at the watershed scale

“…It is linked to the aquifers filling and trigger denitrification when it is close to 1. SWAT accurately simulates the discharges at different time steps and at small or large scales (Ferrant et al, 2011;Lu et al, 2019). However, the SWAT model encounters difficulties to estimate discharges at bank full depth with accuracy due to the different resolutions of the Digital Elevation Models (DEMs) used.…”

CFSR- NCEP Performance for weather data forecasting in the Pernambuco Semiarid, Brazil

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“…Different studies demonstrated the applicability and satisfactory performance of the hydrological SWAT model with CFSR data in regions with scarce data [18]. As [8] in Ethiopia; [4] in the United States, using precipitation and temperature data, obtaining discharge simulations as good or better than models using traditional meteorological measurements, when CFSR data are calculated over an area comparable to watershed areas; [7] concluded that the CFSR provided the best correlation in three regions of South America compared to other sets of reanalysis; [14] used CFSR data as input variables to the WXGEN data simulator in a basin with limited data, obtaining a satisfactory fit for the simulation of agricultural practice scenarios; [9] determined that the CFSR simulation was able to generate acceptable accuracy in China, making a previous validation with terrestrial MS data to confirm sufficient accuracy.…”