Sensitivity and sea surface temperature analyses of WRF model for predicting heavy rainfall events observed in Eastern Black Sea and Mediterranean regions of Turkey

Download

12625654.pdf

Date

2020-8

Author

Pilatin, Heves

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

421
views

254
downloads

With this thesis it is aimed to enhance the prediction accuracy of the Weather Research and Forecasting (WRF) model on the extreme precipitation events of Mediterranean and Eastern Black Sea regions of Turkey. While the first part of sensitivity analysis was conducted for the physical parameters (microphysics, cumulus and PBL) and the initial boundary conditions, the second part has only focused on the impact of sea surface temperature (SST). After choosing 4 microphysics, 3 cumulus, 2 PBL and 2 input meteorological source s options, in total 96 scenarios have been tested through the first part of sensitivity analysis for each region. Among all of the schemes, generally for microphysics Eta / Ferrier (ES) scheme, for cumulus Grell Freitas (GFES) sheme and finally for PBL Mellor Yamada Janjic (MYJ) scheme performed better than the other options in Mediterranean event cases. However, for Eastern Black Sea region, Aeresol Aware Thomspon (AATS) and WRF Single Moment 6 (WSM6) as microphysics, Betts Miller Janjic (BMJ) and GFES as cumulus and MYJ as PBL scheme become prominent. Again, WRF model usually performs better by using the Global Forecasting System (GFS) meteorological input dataset in Mediterranean region whereas it produces more realistic forecasts for Eastern Black Sea, if it uses ERA5 Reanalysis (ERA5, ECMWF) meteorologic data. For SST analysis, three SST data sources were selected to use. Through detailed examination, the Medspiration and NCEP sources were found successful for the prediction of the Mediterranean event cases. In Eastern Black Sea region, the two satellite based sourced datasets (Medspiration and GHRSST) performed better than the other two.

Subject Keywords

Sensitivity Analysis, WRF, Sea Surface Temperature, Extreme Precipitation Events

URI

https://hdl.handle.net/11511/69249

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Evaluating the performance of a WRF initial and physics ensemble over Eastern Black Sea and Mediterranean regions in Turkey Düzenli, Eren; Yücel, İsmail; Yılmaz, Mustafa Tuğrul (Elsevier BV, 2021-01-15) The physics- and initial-based ensemble approach for Weather Research and Forecasting (WRF) model is applied for predicting four different extreme precipitation events that occurred in summer and autumn over the two most flood-prone regions of Turkey, namely; the Eastern Black Sea (EBS) and Mediterranean (MED). A total of 48 runs, each of which includes two nested domains, is designed considering four microphysics (MP), three cumulus (CU), two planetary boundary layer (PBL) schemes, and two initial forcing ...
Calibration and Evaluation of WRF-Hydro Modeling System for Extreme Runoff Simulations: Use of High-Resolution Sea Surface Temperature (SST) Data Kılıçarslan, Berina Mina; Yücel, İsmail; Department of Civil Engineering (2022-2) This study investigates the impact of the spatio-temporal accuracy of four different sea surface temperature (SST) datasets on the accuracy of the Weather Research and Forecasting (WRF)-Hydro system to simulate hydrological response during two catastrophic flood events over the Eastern Black Sea (EBS) and the Mediterranean (MED) regions of Turkey. Three daily-updated and high spatial resolution external SST products (GHRSST, Medspiration, and NCEP-SST) and one coarse-resolution and time-invariant SST produc...
Sensitivity of WRF-derived hydrometeorological extremes to sea surface temperatures in regions with complex topography and diverse climate Pilatin, Heves; Yücel, İsmail; Düzenli, Eren; Yılmaz, Mustafa Tuğrul (2021-12-15) © 2021 Elsevier B.V.This study investigates the impact of sea surface temperature (SST) describing the lower boundary of Weather Research and Forecasting (WRF) model on the extreme weather events that occurred on the Mediterranean (MED) and the Eastern Black Sea (EBS) regions of Turkey. For each region, one extreme event case is selected and characterized as a summer convective system in EBS and as a winter synoptic system in MED region. The SST impact on the WRF model forecasts of these events is accomplis...
Calibration and evaluation of wavewatch III under extreme conditions in Eastern Mediterranean and Aegean Sea Basin Bingöl, Cem; Özyurt Tarakcıoğlu, Gülizar; Department of Civil Engineering (2019) In this study, performance of WAVEWATCH III under extreme waves in Eastern Mediterranean Sea and Aegean Sea is assessed using Climate Forecast System Reanalysis wind data. Best source term is selected from all five source terms that is available in WAVEWATCH III for representation of wind waves in the region. Calibration of the selected source term is conducted for Aegean Sea and Turkish Coast of Mediterranean Sea. Three new Turkish State Meteorological Service buoys are utilized in the study which were nev...
ASSESSING DROUGHT BY STANDARDIZED PRECIPITATION INDEX WITH OBSERVATION AND CORDEX DATA IN TURKEY’S MEDITERRANEAN REGION Poyraz, Anıl; Yücel, İsmail (2018-06-02) This study aims to assess the trends in drought by using the Standardized Precipitation Index(SPI) for 14 stations from Mediterranean climate region of Turkey. The SPI values for different timescales - from 1month to 1 year - are estimated for past and future by using the observed, uncorrected and bias corrected model data. The model data that correspond the grids which consist these 14 stations was obtained from 12 different climate models on CORDEX project. Bias correction method was applied using equival...

Citation Formats

H. Pilatin, “Sensitivity and sea surface temperature analyses of WRF model for predicting heavy rainfall events observed in Eastern Black Sea and Mediterranean regions of Turkey,” M.S. - Master of Science, Middle East Technical University, 2020.