Impacts of DEM resolution, source, and resampling technique on SWAT-simulated streamflow

Assessment of satellite precipitation products' capability for monitoring drought is relatively new in tropical regions. The purpose of this paper is to evaluate the reliability of the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B43 product in estimating the standardized precipitation index (SPI) in the Kelantan River Basin, Malaysia from 1998 to 2014, by comparing it with data from 42 rain gauges. Overall, the TMPA-3B43 performed well in the monthly precipitation estimation, but performed moderately in the seasonal scale. Better performance was found in the northeast monsoon (wet season) than in the southwest monsoon (dry season). The product is more reliable in the northern and north-eastern regions (coastal zone) compared to the central, southern and south-eastern regions (mountainous area). For drought assessment, the correlations between the TMPA-3B43 and ground observations are moderate at various time-scales (one to twelve months), with better performance at shorter time-scales. The TMPA-3B43 shows similar temporal drought behavior by capturing most of the drought events at various time-scales, except for the 2008-2009 drought. These findings show that the TMPA-3B43 is not suitable to be used directly for SPI estimation in this basin. More bias correction and algorithm improvement work are needed to improve the accuracy of the TMPA-3B43 in drought monitoring.

Section: Discussionmentioning

confidence: 99%

Evaluation of TRMM Product for Monitoring Drought in the Kelantan River Basin, Malaysia

Tan

Chua

et al. 2017

“…Tan et al [40] evaluated four different DEM datasets on SWAT simulations in the JRB, and found the 90 m Shuttle Radar Topography Mission (SRTM) DEM [41] performed the best. Therefore, the SRTM DEM was selected in this study.…”

Section: Geospatial Datamentioning

confidence: 99%

“…The model has been applied for an extensive range of ecohydrological problems and scenarios worldwide for watershed scales ranging from <1 km 2 to entire continents (e.g., see reviews by Gassman et al [48,49]; Bressiani et al [25]; Gassman and Wang [50]; and Krysanova and White [51]). The model has also been used successfully for several hydrology and pollutant transport studies conducted in Malaysia [40,[52][53][54][55]. SWAT version 2012 (Revision 635) was used in conjunction with the ArcSWAT interface version 2012.10_2.16 for this study.…”

Section: Swat Modelmentioning

confidence: 99%

Assessment of Three Long-Term Gridded Climate Products for Hydro-Climatic Simulations in Tropical River Basins

Tan

Gassman

Cracknell

2017

Self Cite

Gridded climate products (GCPs) provide a potential source for representing weather in remote, poor quality or short-term observation regions. The accuracy of three long-term GCPs (Asian Precipitation-Highly-Resolved Observational Data Integration towards Evaluation of Water Resources: APHRODITE, Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network-Climate Data Record: PERSIANN-CDR and National Centers for Environmental Prediction Climate Forecast System Reanalysis: NCEP-CFSR) was analyzed for the Kelantan River Basin (KRB) and Johor River Basin (JRB) in Malaysia from 1983 to 2007. Then, these GCPs were used as inputs into calibrated Soil and Water Assessment Tool (SWAT) models, to assess their capability in simulating streamflow. The results show that the APHRODITE data performed the best in precipitation estimation, followed by the PERSIANN-CDR and NCEP-CFSR datasets. The NCEP-CFSR daily maximum temperature data exhibited a better correlation than the minimum temperature data. For streamflow simulations, the APHRODITE data resulted in strong results for both basins, while the NCEP-CFSR data showed unsatisfactory performance. In contrast, the PERSIANN-CDR data showed acceptable representation of observed streamflow in the KRB, but failed to track the JRB observed streamflow. The combination of the APHRODITE precipitation and NCEP-CFSR temperature data resulted in accurate streamflow simulations. The APHRODITE and PERSIANN-CDR data often underestimated the extreme precipitation and streamflow, while the NCEP-CFSR data produced dramatic overestimations. Therefore, a direct application of NCEP-CFSR data should be avoided in this region. We recommend the use of APHRODITE precipitation and NCEP-CFSR temperature data in modeling of Malaysian water resources.

“…Zandbergen [73] indicates that DEM cell resolution has a very strong effect on the occurrence of depressions. Otherwise, Tan et al [74] indicate that DEM resolution is the most sensitive parameter compared to the DEM source and DEM resampling technique for simulating the hydrological processes. Changes in volume of the polder in the range of 10%, depending on the LIDAR-DEM resolution, indicate the small impact of this parameter on the results obtained in this study.…”

Section: Discussionmentioning

confidence: 99%

Estimation of Polder Retention Capacity Based on ASTER, SRTM and LIDAR DEMs: The Case of Majdany Polder (West Poland)

Walczak

Sojka

Wróżyński

et al. 2016

This study compares four digital elevation models (DEMs), based on various data sources, to define polder retention capacities. Two commercial and two publically available, free of charge data sources were used. Commercial sources are DEMs based on aerial images and LIDAR (Light Detection and Ranging) data. Free data source DEMs generated are based on: SRTM (Shuttle Radar Topography Mission) and ASTER GDEM (ASTER Global Digital Elevation Model). In addition, the impact of the spatial resolution of the numerical terrain model on the calculated polder volume was evaluated. A DEM based on LIDAR data was used as the reference model and was supplemented with our own geodetic GPS (Global Positioning System) measurements. In flood modeling and management, including retention of river valleys and polders, it is necessary to properly estimate their capacity and the relation between capacity and water level. The study showed the impact of quantitative and qualitative data sources in determining the retention capacity of a polder.