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
Remotely Sensed Terrestrial Water Balance of the Nile Basin
Date
2011-12-05
Author
Smith, Tiffany
Zaitchik, Ben
Anderson, Martha
Yılmaz, Mustafa Tuğrul
Alo, Clement
Rodell, Matthew
Metadata
Show full item record
Item Usage Stats
147
views
0
downloads
Cite This
Satellite-derived estimates of precipitation, evapotranspiration (ET), and water storage have transformed our understanding of hydrological dynamics at the basin scale. At the same time, the profusion of satellite and model-generated hydrological estimates has demonstrated that there is still considerable uncertainty associated with the quantification of hydrologic states and fluxes at basin scale: the use of different combinations of data products can lead to dramatically different conclusions regarding water balance partitioning as well as variability and trends in water storage. Including multiple independent products in studies of basin-scale hydrology makes it possible to evaluate known uncertainties in satellite estimates of each component of the hydrological cycle, to assess the influence of these uncertainties on our ability to address hydrological questions of interest, and to identify critical data needs for future satellite missions. Here we present results of a basin-scale water balance analyses of the Nile River basin over the time period of 2007-2010. Multiple satellite-derived and model-based precipitation, ET, and terrestrial water storage products are included in order to characterize absolute and relative uncertainties for each variable of the terrestrial water balance equation. Monthly runoff values are estimated as the residual of the basin water balance. These runoff values are then compared with historical river gauge data to assess the utility of each data combination for estimating river flow and flow variability. Tested products include: the Tropical Rainfall Measurement Mission (TRMM) Multisensor Precipitation Analysis and Climate Prediction Center operational Africa Rainfall Estimates (RFE 2) for precipitation; the Atmospheric-Land Exchange Inverse (ALEXI) model and offline Land Surface Models (LSMs) for ET; and Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage anomaly, merged thermal and microwave derived soil moisture estimates and offline LSMs for basin-scale water storage.
Subject Keywords
Remote sensing
,
Water budgets
URI
https://hdl.handle.net/11511/73574
https://ui.adsabs.harvard.edu/abs/2011AGUFM.H21F1188S/abstract
Conference Name
American Geophysical Union Fall Meeting 2011, (5 - 09 Aralık 2011)
Collections
Department of Civil Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Satellite based water balance of the Nile River basin a multisensor approach
Zaitchik, Benjamin F; Anderson, Martha C; Ozdogan, Mutlu; Yılmaz, Mustafa Tuğrul (null; 2013-12-09)
Satellite-informed estimates of distributed hydrologic fluxes and storages in remote, ungauged, or contentious river basins is the subject of active research. Here we review recent developments in remotely sensed water flux and balance estimates for large basins, including the Nile River basin, and present results of a new analysis that applies TRMM, GRACE, and a Meteosat-based implementation of the ALEXI evapotranspiration algorithm to generate spatially and temporally distributed estimates of hydrologic f...
Accuracy assessment of MODIS daily snow albedo retrievals with in situ measurements in Karasu basin, Turkey
Tekeli, AE; Sensoy, A; Sorman, A; Akyürek, Sevda Zuhal; Sorman, U (Wiley, 2006-03-15)
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 o...
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...
The Auto-Tuned Land Data Assimilation System ( ATLAS)
Crow, W. T.; Yılmaz, Mustafa Tuğrul (American Geophysical Union (AGU), 2014-01-01)
Land data assimilation systems are commonly tasked with merging remotely sensed surface soil moisture retrievals with information derived from a soil water balance model driven by observed rainfall. The performance of such systems can be degraded by the incorrect specification of parameters describing modeling and observation errors. Here the Auto-Tuned Land Data Assimilation System (ATLAS) is introduced to simultaneously solve for all parameters required for the application of a simple land data assimilati...
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...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. Smith, B. Zaitchik, M. Anderson, M. T. Yılmaz, C. Alo, and M. Rodell, “Remotely Sensed Terrestrial Water Balance of the Nile Basin,” presented at the American Geophysical Union Fall Meeting 2011, (5 - 09 Aralık 2011), 2011, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/73574.