Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Evaluating the hydro-estimator satellite rainfall algorithm over a mountainous region
Date
2011-01-01
Author
Yücel, İsmail
Gochis, David J.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
203
views
0
downloads
Cite This
This study investigates the performance of the National Oceanic and Atmospheric Administration/National Environmental Satellite, Data, and Information Service (NOAA/NESDIS) operational rainfall estimation algorithm, called the hydro-estimator (HE), with and without its orographic correction method, in its depiction of the timing, intensity and duration of convective rainfall in general, and of the topography-rainfall relationship in particular. An event-based rainfall observation network in north-west Mexico, established as part of the North American monsoon experiment (NAME), provides gauge-based precipitation measurements with sufficient temporal and spatial sampling characteristics to examine the climatological structure of diurnal convective activity over north-west Mexico. In this study, rainfall estimates from the HE algorithm were evaluated against point observations collected from 49 rain gauges from August until the end of September in 2002 and from 79 gauges from August to September in 2003. While the HE with orographic correction to some extent captures the spatial distribution and timing of diurnal convective events, elevation-dependent biases exist, which are characterized by an underestimate in the occurrence of light precipitation at high elevations and an overestimate in the occurrence of precipitation at low elevations. The potential of the HE in providing high spatial and temporal resolution data is also evaluated using a hydrological model over the North American monsoon (NAM) region. The findings suggest that continued improvement to the HE orographic correction scheme is warranted in order to advance quantitative precipitation estimation in complex terrain regions and for use in hydrologic applications.
Subject Keywords
Model
,
Cloud
,
Arizona
,
Patterns
,
Prediction
,
Name
,
Monsoon region
,
Warm-season precipitation
URI
https://hdl.handle.net/11511/42951
Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
DOI
https://doi.org/10.1080/01431161.2010.523028
Collections
Department of Civil Engineering, Article
Suggestions
OpenMETU
Core
Investigation of the dependence of satellite-based precipitation estimate errors to distance from the coastline Uydu Kaynakli Yaǧmur Verilerinin Hata Oranlarinin Deniz Kiyilarina Olan Uzakliǧa Baǧli Analizi
YILMAZ, MERİÇ; Amjad, Muhammad; Bulut, Burak; Yılmaz, Mustafa Tuğrul (2017-01-01)
In this study, Tropical Rainfall Measuring Mission (TRMM) 3B42 v7 satellite based rainfall data are verified by using cumulative monthly rainfall data measured at 257 stations operated by the General Directorate of Meteorology between 1998 and 2014. Long-term mean values of station-based and satellite-based rainfall data, correlation between them, Standard deviation of monthly average and anomaly components, and standard deviation of satellite based data error are analyzed. Variation of satellite-based data...
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...
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 ...
Analyses of atmospheric and marine observations along the Turkish coast
Tutsak, Ersin; Özsoy, Emin; Department of Physical Oceanography (2012)
Time series and spectral analyses are applied to meteorological data (wind velocity, air temperature, barometric pressure) and sea level measurements from a total of 13 monitoring stations along the Turkish Coast. Analyses of four-year time series identify main time scales of transport and motion while establishing seasonal characteristics, i.e. distinguishing, for instance, between winter storms and summer sea-breeze system. Marine flow data acquired by acoustic doppler current pro filers (ADCP) is also a...
Evaluation of a satellite-based global flood monitoring system
Yılmaz, Koray Kamil; Tian, Yudong; Hong, Yang; Pierce, Harold F. (2010-01-01)
This study provides an initial evaluation of a global flood monitoring system (GFMS) using satellite-based precipitation and readily available geospatial datasets. The GFMS developed by our group uses a relatively simple hydrologic model, based on the run-off curve number method, to transform precipitation into run-off. A grid-to-grid routing scheme moves run-off downstream. Precipitation estimates are from the TRMM Multi-satellite Precipitation Analysis (TMPA). We first evaluated the TMPA algorithm using a...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
İ. Yücel and D. J. Gochis, “Evaluating the hydro-estimator satellite rainfall algorithm over a mountainous region,”
INTERNATIONAL JOURNAL OF REMOTE SENSING
, pp. 7315–7342, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42951.