Advancement of satellite-based rainfall applications for basin-scale hydrologic modeling /

Derin, Yağmur
Accuracy and reliability of hydrological modeling studies heavily depends on quality and availability of precipitation estimates. However hydrological studies in developing countries, especially over complex topography, are limited due to unavailability and scarcity of ground-based networks. This study evaluates three different satellite-based rainfall retrieval algorithms namely, Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis (TMPA), NOAA/Climate Prediction Center Morphing Method (CMORPH) and EUMETSAT’s Multi-Sensor Precipitation Estimate (MPE) over topographically complex Western Black Sea Basin in Turkey, using a relatively dense rain gauge network. The results indicated that satellite-based rainfall products significantly underestimated the rainfall in regions characterized by orographic rainfall and overestimated the rainfall in the drier regions with seasonal dependency. Further, a new bias adjustment algorithm has been devised for the satellite-based rainfall products based on the “physiographic similarity” concept. The results showed that proposed bias adjustment algorithm is better suited to regions with complex topography and provided improved results compared to the baseline “inverse distance weighting” method. To evaluate the utility of satellite-based products in hydrologic modeling studies, the MIKE SHE-MIKE 11 integrated fully distributed physically based hydrological model was implemented in the Araç Basin and driven by ground-based and satellite-based precipitation estimates. Model calibration was performed by a constrained calibration approach that is guided by multiple “signature measures” to estimate model parameters in a hydrologically meaningful way rather than using the traditional “statistical” objective functions that largely mask valuable hydrologic information during calibration process. Diagnostic evaluation has the potential to provide a consistent estimates of the parameters of watershed models.


Evaluating and merging model- and satellite-based precipitation products over varying climate and topography
Amjad, Muhamma; Yılmaz, Mustafa Tuğrul; Department of Civil Engineering (2020)
Before using the satellite- and model-based precipitation retrievals in hydrological studies, their uncertainty assessment is crucial. Improving their performance accuracy is another important issue worth consideration. This study first evaluates and intercompares a set of nine precipitation products (2 satellite estimation-based, 2 model reanalysis-based, and 5 model forecast-based products) over varying climate and topography by using the in-situ observed precipitation data as truth. The products were the...
Estimation of Streamflow Using Takagi-Sugeno Fuzzy Rule-Based Model
Akgün, Ömer Burak; Kentel Erdoğan, Elçin (2018-06-01)
In this study, a tool is developed to estimate streamflow at Guvenc Basin, Ankara by using Takagi-Sugeno (TS) Fuzzy Rule-Based (RB) model. The model takes precipitation and runoff at time � as predictor (input) and estimates the runoff at time � + 1. The approach used to generate the TS RB model is based on density based clustering. Each cluster center is used to generate a fuzzy rule that represents the system behaviour. Satisfactory results are obtained especially after including the seasonal behaviour of...
Production of a high-resolution improved radar precipitation estimation map using gauge adjustment bias correction methods
Yousefi, Kaveh Patakchi; Yılmaz, Mustafa Tuğrul; Ozturk, Kurtulus; Yücel, İsmail; Yılmaz, Koray Kamil (null; 2020-05-08)
This study evaluates relative performances of different statistical algorithms to enhance radar-based quantitative precipitation estimation (QPE) accuracy using rain gauge network data. Initial investigations are implemented using observations obtained via 17 C-band radars located over different regions of Turkey. It was observed that there is an underestimation problem in radar estimations compared with the ground observations. According to the initial results, daily mean bias for radar estimations over di...
Comparative analysis of variability modelling approaches in component models
Suloglu, Selma; Kaya, Muhammed Çağrı; Karamanlıoğlu, Alper; Entekhabi, Sina; Nikoo, Mahdi Saeedi; Tekinerdogan, Bedir; Doğru, Ali Hikmet (2018-12-01)
The results of a systematic literature review conducted for variability modelling in software component models are analysed and presented here. A well-planned protocol guided the screening of 3230 papers that resulted in the identification of 55 papers. Reviewing these papers, 23 of them were considered as primary studies related to our research questions. A comparison framework is introduced to further understand, assess, and compare those selected papers. Observations about the important aspects of compon...
Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping
Süzen, Mehmet Lütfi (Informa UK Limited, 2012-01-01)
The aim of this study was to determine how well the landslide susceptibility parameters, obtained by data-dependent statistical models, matched with the parameters used in the literature. In order to achieve this goal, 20 different environmental parameters were mapped in a well-studied landslide-prone area, the Asarsuyu catchment in northwest Turkey. A total of 4400 seed cells were generated from 47 different landslides and merged with different attributes of 20 different environmental causative variables i...
Citation Formats
Y. Derin, “Advancement of satellite-based rainfall applications for basin-scale hydrologic modeling /,” M.S. - Master of Science, Middle East Technical University, 2014.