Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting

Yılmaz, Koray Kamil
Hsu, KL
Sorooshian, S
Gupta, HV
Wagener, T
This study compares mean areal precipitation (MAP) estimates derived from three sources: an operational rain gauge network (MAPG), a radar/gauge multisensor product (MAPX), and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) satellite-based system (MAPS) for the time period from March 2000 to November 2003. The study area includes seven operational basins of varying size and location in the southeastern United States. The analysis indicates that agreements between the datasets vary considerably from basin to basin and also temporally within the basins. The analysis also includes evaluation of MAPS in comparison with MAPG for use in flow forecasting with a lumped hydrologic model [Sacramento Soil Moisture Accounting Model (SAC-SMA)]. The latter evaluation investigates two different parameter sets, the first obtained using manual calibration on historical MAPG, and the second obtained using automatic calibration on both MAPS and MAPG. but over a shorter time period (23 months). Results indicate that the overall performance of the model simulations using MAPS depends on both the bias in the precipitation estimates and the size of the basins, with poorer performance in basins of smaller size (large bias between MAPG and MAPS) and better performance in larger basins (less bias between MAPG and MAPS). When using MAPS, calibration of the parameters significantly improved the model performance.


Multiregional Satellite Precipitation Products Evaluation over Complex Terrain
Derin, Yagmur; Anagnostou, Emmanouil; Berne, Alexis; BORGA, Marco; BOUDEVILLAIN, Brice; BUYTAERT, Wouter; CHANG, Che-Hao; DELRIEU, Guy; HONG, Yang; HSU, Yung Chia; LAVADO-CASIMIRO, Waldo; MANZ, Bastian; MOGES, Semu; NIKOLOPOULOS, Efthymios I.; SAHLU, Dejene; SALERNO, Franco; RODRIGUEZ-SANCHEZ, Juan-Pablo; VERGARA, Humberto J.; Yılmaz, Koray Kamil (American Meteorological Society, 2016-06-01)
An extensive evaluation of nine global-scale high-resolution satellite-based rainfall (SBR) products is performed using aminimumof 6 years (within the period of 2000-13) of reference rainfall data derived from rain gauge networks in nine mountainous regions across the globe. The SBR products are compared to a recently released global reanalysis dataset from the European Centre for Medium-Range Weather Forecasts (ECMWF). The study areas include the eastern Italian Alps, the Swiss Alps, the western Black Sea ...
Assessing nonstationarity impacts for historical and projected extreme precipitation in Turkey
Aziz, Rizwan; Yücel, İsmail (Springer Science and Business Media LLC, 2021-01-01)
The temporal variability in yearly and seasonal extreme precipitation across Turkey is investigated using stationary and nonstationary frequency approach. Four frequency distributions namely, generalized extreme value (GEV), gumbel, normal, and lognormal distributions are used for the historical period (1971-2016) as well as the projection period (2051-2100). The nonstationarity impacts are determined by calculating the percentage difference of return levels (30 years) between stationary and nonstationary c...
Nonstationarity impacts on frequency analysis of yearly and seasonal extreme temperature in Turkey
Aziz, Rizwan; Yücel, İsmail; Yozgatlıgil, Ceylan (Elsevier BV, 2020-07-01)
This study investigates the temporal variability in yearly and seasonal extreme temperatures across Turkey using stationary and nonstationary frequency analysis. The analyses are conducted using Generalized Extreme Value (GEV), Gumbel and Normal distributions for minimum and maximum temperatures during historical (1971-2016) and projection period (2051-2100). The future nonstationarity impacts are quantified using a 12-member ensemble of The Coordinated Regional Downscaling Experiment (CORDEX) regional clim...
Clustering current climate regions of Turkey by using a multivariate statistical method
İyigün, Cem; Batmaz, İnci; Yozgatlıgil, Ceylan; Koc, Elcin Kartal; Ozturk, Muhammed Z. (Springer Science and Business Media LLC, 2013-10-01)
In this study, the hierarchical clustering technique, called Ward method, was applied for grouping common features of air temperature series, precipitation total and relative humidity series of 244 stations in Turkey. Results of clustering exhibited the impact of physical geographical features of Turkey, such as topography, orography, land-sea distribution and the high Anatolian peninsula on the geographical variability. Based on the monthly series of nine climatological observations recorded for the period...
Extreme value analysis and forecasting of maximum precipitation amounts in the western Black Sea subregion of Turkey
Yozgatlıgil, Ceylan (Wiley, 2018-12-01)
Monthly maximum precipitation amounts for the period 1950-2010 were modelled for seven climatological stations in the western Black Sea subregion of Turkey using a distributional and time series analysis approach. First, the generalized extreme value (GEV) distribution was fitted using the location parameter of the GEV distribution as a function of several explanatory variables that affect the maximum precipitation. We quantified the change in extreme precipitation for each location and derived estimates of...
Citation Formats
K. K. Yılmaz, K. Hsu, S. Sorooshian, H. Gupta, and T. Wagener, “Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting,” JOURNAL OF HYDROMETEOROLOGY, pp. 497–517, 2005, Accessed: 00, 2020. [Online]. Available: