Article detail · 2021
Evaluation of PERSIANN family remote sensing precipitation products for snowmelt runoff estimation in a mountainous basin
Journal
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUESISSN 0262-6667
The ISSN points to another catalog journal; the name is from the YÖKSİS record.
- Year
- 2021
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Catalog match (ISSN) Hydrological Sciences Journal
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
OpenAlex · English
Estimating snowmelt runoff in mountainous basins is a challenging task due to limited precipitation measurements. Satellite-based Precipitation Products (SBPs) are readily available, but still suffer from large errors in cold climate regions. This study aims to evaluate and propose post-bias corrections for uncorrected Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) and pre-bias-corrected PERSIANN-Climate Data Record (PERSIANN-CDR) daily SBPs using enriched observed data in the upper Euphrates River Basin, Turkey. SBPs are also employed in a daily multilayer perceptron (MLP) model to quantify the impact on runoff. PERSIANN-CDR outperforms PERSIANN in terms of correlation and detection, but biases substantially increase in PERSIANN-CDR in the snow accumulation season. The MLP has been trained and validated using observed precipitation data with 0.86 and 0.83 Nash-Sutcliffe efficiency (NSE), respectively. Applying post-bias corrections by a modified multiplicative linear scaling method improves runoff estimation with NSE values increasing from 0.48 to 0.61 and 0.38 to 0.68 for PERSIANN and PERSIANN-CDR, respectively.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
12 citations
OpenAlex cited_by_count (cache / database)
11 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Performance assessment of multi‑source, satellite‑based and reanalysis precipitation products over variable climate of Turkey 2023
- Performance Assessment of CHIRPSv2.0 and MERRA-2 Gridded Precipitation Datasets over Complex Topography of Turkey 2022
- Product- and Hydro-Validation of Satellite-Based Precipitation Data Sets for a Poorly Gauged Snow-Fed Basin in Turkey 2022
- Evaluating the hydrological performance of gridded precipitation datasets using GR2M for a mountainous watershed in Turkey 2022
- Evaluating the hydrological performance of gridded precipitation datasets using GR2M for a mountainous watershed in Turkey 2022
- Integrating Meteorological Forcing from Ground Observations and MSWX Dataset for Streamflow Prediction under Multiple Parameterization Scenarios 2022
- Assessment of H SAF satellite snow products in hydrological applications over the Upper Euphrates Basin 2023
- Assessment of H SAF satellite snow products in hydrological applications over the Upper Euphrates Basin 2023
- Assessment of H SAF satellite snow products in hydrological applications over the Upper Euphrates Basin 2023
- Analyzing radar rainfall estimate errors with three vector norms: application to weather radar rainfall data in Mugla, Turkey 2022