Accuracy assessment of MODIS daily snow albedo retrievals with in situ measurements in Karasu basin, Turkey

Date

2006-03-15

Author

Tekeli, AE
Sensoy, A
Sorman, A
Akyürek, Sevda Zuhal
Sorman, U

Metadata

Show full item record

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

Item Usage Stats

200
views

0
downloads

Over the ablation period of 2004, daily snow albedo values retrieved from the moderate-resolution imaging spectroradiometer (MODIS) Terra were compared with ground-based albedo measurements. Two data sets are used for this study. The first data set is from two automatic weather stations (AWS) located at fixed points in Karasu basin in eastern Turkey. This provided the temporal assessment of MODIS daily snow albedo values. The second data set, consisting of 19 observation points randomly distributed around one of the AWS sites, enables the spatial variability assessment of MODIS albedo retrievals. Both MODIS and in situ albedo observations were aggregated in a geographic information system for further analysis.

Subject Keywords

Water Science and Technology

URI

https://hdl.handle.net/11511/45938

Journal

HYDROLOGICAL PROCESSES

DOI

https://doi.org/10.1002/hyp.6114

Collections

Department of Civil Engineering, Article

Suggestions

OpenMETU
Core

Climate change impacts on meteorological drought using SPI and SPEI: case study of Ankara, Turkey MEHR, ALI DANANDEH; Sorman, Ali Unal; Kahya, Ercan; Afshar, Mahdı Hesamı (Informa UK Limited, 2019-11-27) Using regionally downscaled and adjusted outputs of three global climate models (GCMs), meteorological drought analysis was accomplished across Ankara, the capital city of Turkey. To this end, standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) were projected under (representative concentration pathway) RCP4.5 and RCP8.5 greenhouse gas scenarios. In general, our results show that Ankara experienced six severe and two extreme drought events during the referen...
Comparison of prognostic and diagnostic surface flux modeling approaches over the Nile River basin Yılmaz, Mustafa Tuğrul; Zaitchik, Ben; Hain, Chris R.; Crow, Wade T.; Ozdogan, Mutlu; Chun, Jong Ahn; Evans, Jason (American Geophysical Union (AGU), 2014-01-01) Regional evapotranspiration (ET) can be estimated using diagnostic remote sensing models, generally based on principles of energy balance closure, or with spatially distributed prognostic models that simultaneously balance both energy and water budgets over landscapes using predictive equations for land surface temperature and moisture states. Each modeling approach has complementary advantages and disadvantages, and in combination they can be used to obtain more accurate ET estimates over a variety of land...
Performance evaluation of satellite- and model-based precipitation products over varying climate and complex topography Amjad, Muhammad; Yılmaz, Mustafa Tuğrul; Yücel, İsmail; Yılmaz, Koray Kamil (Elsevier BV, 2020-05-01) Accuracy assessment of precipitation retrievals is a pre-requisite for many hydrological studies as it helps to understand the source and the magnitude of the uncertainty in hydrological response variables, particularly over regions with complex topography. This study evaluates GPM IMERGv05, TMPA 3B42V7, ERA-Interim, and ERA5 precipitation products using 256 ground-based gauge stations between 2014 and 2018 over Turkey known to have complex topography and varying climate. Error statistics, categorical perfo...
STOCHASTIC-ANALYSIS OF FIELD MEASURED UNSATURATED HYDRAULIC CONDUCTIVITY Ünlü, Kahraman; NIELSEN, DR (American Geophysical Union (AGU), 1989-12-01) Unsaturated hydraulic conductivity K values as a function of soil‐water pressure head h were measured in the soil at 75 cm depth at 70 different sites separated from one another by a distance of l m along a horizontal transect. K field was viewed as a random function of spatial location x. Field data were analyzed (1) to examine the isotropy and stationarity of K, (2) to check the ergodicity of K in the mean and covariance functions, and (3) to characterize the distribution properties of K by estimating the...
Multiple-criteria calibration of a distributed watershed model using spatial regularization and response signatures Pokhrel, Prafulla; Yılmaz, Koray Kamil; Gupta, Hoshin V. (Elsevier BV, 2012-02-08) This paper explores the use of a semi-automated multiple-criteria calibration approach for estimating the parameters of the spatially distributed HL-DHM model to the Blue River basin, Oklahoma. The study was performed in the context of Phase 2 of the DMIP project organized by the Hydrology Lab of the NWS. To deal with the problem of ill conditioning, we employ a regularization approach that constrains the search space using information contained in a priori estimates of the spatially distributed parameter f...

Citation Formats

A. Tekeli, A. Sensoy, A. Sorman, S. Z. Akyürek, and U. Sorman, “Accuracy assessment of MODIS daily snow albedo retrievals with in situ measurements in Karasu basin, Turkey,” HYDROLOGICAL PROCESSES, pp. 705–721, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/45938.