Evaluation and Comparison of Precipitation Datasets by Reanalysis and Satellite Models in Different Parts of Iran
Journal Title: Water Harvesting Research - Year 2024, Vol 7, Issue 1
Abstract
Rainfall is a crucial component of the hydrological cycle and plays a key role in water resource planning. Recent research has investigated the use of gridded data as a supplement to and replacement for traditional rain gauge measurements, particularly in areas with limited gauge coverage. Gridded precipitation data offering a structured method to represent precipitation patterns across large regions by dividing the data into grids. This enables more precise spatial analysis of precipitation distribution and variability. The study assessed the accuracy of six high-resolution gridded rainfall product estimates (ERA5, ERA-Interim, CMORPH, PERSIANN, PERSIANN-CDR, and PERSIANN-CCS) at 12 rain gauge stations in Iran at various time scales. Comparisons with rain gauge network data using statistical and graphical methods revealed that ERA5, ERA-Interim, and PERSIANN-CDR data outperformed other models on annual and monthly scales, so that the highest correlation coefficient in monthly scale was obtained by ERA5 model at Doroodzan station with correlation coefficient of 0.93. Also, the results on a daily scale indicate the appropriateness of the output data of the reanalysis models (ERA5, ERA-Interim) compared to other models in such a way that the lowest RMSE value in all stations except Sefidroud Dam is related to the reanalysis data and the lowest RMSE value is equal to with 0.78 mm at the Chahnimeh station and the highest value of the correlation coefficient equal to 0.63 corresponds to the Karaj dam rain gauge station; Also, in correctly detecting rainy and non-rainy days, ERA5 model has the most accuracy in all stations.
Authors and Affiliations
Ali Gorjizade,
Keywords
Related Articles
- EP ID EP756240
- DOI 10.22077/jwhr.2024.7695.1140
- Views 7
- Downloads 0
Advancing Sustainable Agriculture: Renewable Energy Integration and Policy Implications for Irrigation in Nigeria â A Systematic Review
This research review explores the application of renewable energy sources, such as solar, wind, and biomass, in irrigation practices throughout Nigeria. Following the PRISMA (Preferred Reporting Items for Systematic Revi...
Comparative Analysis of Machine Learning Algorithms for Forecasting Effluent Chemical Oxygen Demand in Wastewater Treatment Plants
Accurate prediction of wastewater effluent parameters is crucial for evaluating the performance of wastewater treatment plants, as it significantly contributes to reducing time, energy, and costs. This study employed thr...
A Quantitative Strategic Planning Framework for Artificial Groundwater Recharge in Iran Based on Fuzzy AHP
This article studies the Artificial Groundwater Recharge (AGR) of the Esfarayen aquifer, in Iran, from the perspective of the strategic planning process. For this purpose, a SWOT systematic analysis was performed for the...
Determination of Flow Parameters in Layered Rockfill Media Using Tracer Technique
The present paper aims to develop improved models for predicting flow behavior, accounting for factors such as layer properties, grain size distributions, and transition zones between layers. Mathematical equations, incl...
Investigating the Performance of Metal Surfaces Modified by Laser on the Efficiency of Water Harvesting from Humid Air
The population growth and consequently lack of fresh water resources, are the main concerns of developed communities. Providing water from air humidity is an efficient, clean, and sustainable solution that can supply swe...