Satellite-driven downscaling of global reanalysis precipitation products for hydrological applications

Satellite-driven downscaling of global reanalysis precipitation products

Introduction Conclusions References

Using Fractal Downscaling of Satellite Precipitation Products for Hydrometeorological Applications

The objective of spatial downscaling strategies is to increase the information content of coarse datasets at smaller scales. In the case of quantitative precipitation estimation (QPE) for hydrological applications, the goal is to close the scale gap between the spatial resolution of coarse datasets (e.g., gridded satellite precipitation products at resolution L 3 L) and the high resolution (l 3...

Evaluation of Satellite Precipitation Products with Rain Gauge Data at Different Scales: Implications for Hydrological Applications

Rain gauge and satellite-retrieved data have been widely used in basin-scale hydrological applications. While rain gauges provide accurate measurements that are generally unevenly distributed in space, satellites offer spatially regular observations and common error prone retrieval. Comparative evaluation of gauge-based and satellite-based data is necessary in hydrological studies, as precipita...

A tool for downscaling weather data from large-grid reanalysis products to finer spatial scales for distributed hydrological applications

Hydrological Assessment of Daily Satellite Precipitation Products over a Basin in Iran

In order to measure precipitation as the main variable for estimating the runoff and designing hydraulic structures, the satellite algorithm products that have the proper spatial and temporal coverage, can be used. In this study, at first, the daily streamflow simulation of Sarough-Cahy River from the Zarinehroud basin was conducted through the artificial neural network (ANN) and ground data of...