PUMA publications for /user/tourian/importedhttps://puma.ub.uni-stuttgart.de/user/tourian/importedPUMA RSS feed for /user/tourian/imported2024-03-29T09:36:12+01:00Modeling total surface current in the Persian Gulf and the Oman Sea by combination of geodetic and hydrographic observations and assimilation with in situ current meter datahttps://puma.ub.uni-stuttgart.de/bibtex/28e9213055ec862d7d6a7560202d1e8a6/touriantourian2023-12-04T21:18:36+01:00geoinst imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mahmoud Pirooznia" itemprop="url" href="/person/1d3d372401a9135e0c2bb5b55571c4f2d/author/0"><span itemprop="name">M. Pirooznia</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mehdi Raoofian Naeeni" itemprop="url" href="/person/1d3d372401a9135e0c2bb5b55571c4f2d/author/1"><span itemprop="name">M. Raoofian Naeeni</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/1d3d372401a9135e0c2bb5b55571c4f2d/author/2"><span itemprop="name">M. Tourian</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Acta Geophysica</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">71 </span></span>(<span itemprop="issueNumber">6</span>):
<span itemprop="pagination">2839--2863</span></em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Mon Dec 04 21:18:36 CET 2023Acta Geophysica62839--2863Modeling total surface current in the Persian Gulf and the Oman Sea by combination of geodetic and hydrographic observations and assimilation with in situ current meter data712023geoinst imported Surface currents in oceanic environment are of vital importance from economical, biological and environmental aspects. Modelling ocean currents has generally been performed using numerical ocean circulation models as a solution to initial-boundary value problems in oceanic domain. Due to lack of knowledge about model parameters as well as initial and boundary values, they need to be externally calibrated for accurate local and regional applications. In this study, an alternative approach is proposed to incorporate spaceborne geodetic observations as well as hydrographic data to estimate the total surface current in the Persian Gulf and the Oman Sea. Being the data-driven approach, the method is comparable to numerical ocean models and regionally it is more accurate and simpler in application. The proposed method focuses on the computation of dynamic topography (DT) by least squares variance component estimation combining two different schemes. They are (1) DT estimation via direct observations of sea surface height from satellite altimetry and (2) steric and non-steric modeling of sea level anomaly using temperature and salinity data for the steric component; and Gravity Recovery and Climate Experiment observations for the non-steric component. Ultimately, the total surface current is obtained by computing the horizontal gradient of DT using geostrophic equation and adding the components of the Ekman current. Moreover, the estimated total surface current is further improved by assimilating with in situ current meter data using 3D-Variational data assimilation method and it is validated against two control stations. This assimilation leads to improvement of about 3 to 15 cm/s in total surface current computed using geostrophic equation and Ekman current. Besides, to illustrate the significance of the proposed approach, the estimated total surface current is externally validated and compared with the output of Copernicus Marine Environment Monitoring Service (CMEMS), as a numerical ocean model developed for oceanographic applications. Our comparison reveals that the proposed method is more accurate and reliable than CMEMS products. As for the circulation and current pattern, the estimated surface velocities reveal the existence of eddies in the region of the Persian Gulf and the Oman Sea, indicating the occurrence of cyclonic and anti-cyclonic circulations. Moreover, they elucidate that the velocities are lower in spring and summer and higher in autumn and winter.A long-term monthly surface water storage dataset for the Congo basin from
1992 to 2015https://puma.ub.uni-stuttgart.de/bibtex/27663f0001ebcff9961c4c8efff3cc3c6/touriantourian2023-12-04T21:16:23+01:00climate geoinst grace imported myown water <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="B. M. Kitambo" itemprop="url" href="/person/1f874a46d65ab978f2c0d535dbfc84300/author/0"><span itemprop="name">B. Kitambo</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. Papa" itemprop="url" href="/person/1f874a46d65ab978f2c0d535dbfc84300/author/1"><span itemprop="name">F. Papa</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. Paris" itemprop="url" href="/person/1f874a46d65ab978f2c0d535dbfc84300/author/2"><span itemprop="name">A. Paris</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="R. M. Tshimanga" itemprop="url" href="/person/1f874a46d65ab978f2c0d535dbfc84300/author/3"><span itemprop="name">R. Tshimanga</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="F. Frappart" itemprop="url" href="/person/1f874a46d65ab978f2c0d535dbfc84300/author/4"><span itemprop="name">F. Frappart</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="S. Calmant" itemprop="url" href="/person/1f874a46d65ab978f2c0d535dbfc84300/author/5"><span itemprop="name">S. Calmant</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="O. Elmi" itemprop="url" href="/person/1f874a46d65ab978f2c0d535dbfc84300/author/6"><span itemprop="name">O. Elmi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="A. S. Fleischmann" itemprop="url" href="/person/1f874a46d65ab978f2c0d535dbfc84300/author/7"><span itemprop="name">A. Fleischmann</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. Becker" itemprop="url" href="/person/1f874a46d65ab978f2c0d535dbfc84300/author/8"><span itemprop="name">M. Becker</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="M. J. Tourian" itemprop="url" href="/person/1f874a46d65ab978f2c0d535dbfc84300/author/9"><span itemprop="name">M. Tourian</span></a></span></span> and 2 other author(s). </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Earth System Science Data</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">15 </span></span>(<span itemprop="issueNumber">7</span>):
<span itemprop="pagination">2957--2982</span></em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Mon Dec 04 21:16:23 CET 2023Earth System Science Data72957--2982A long-term monthly surface water storage dataset for the Congo basin from
1992 to 2015152023climate geoinst grace imported myown water Towards Operational Fiducial Reference Measurement (FRM) Data for the Calibration and Validation of the Sentinel-3 Surface Topography Mission over Inland Waters, Sea Ice, and Land Icehttps://puma.ub.uni-stuttgart.de/bibtex/21faa4d53687c40e31f83138211542f80/touriantourian2023-12-04T21:12:21+01:00geoinst imported myown <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Elodie Da Silva" itemprop="url" href="/person/1fefdab15886675662d8bf4ad91ca587c/author/0"><span itemprop="name">E. Da Silva</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Emma R. Woolliams" itemprop="url" href="/person/1fefdab15886675662d8bf4ad91ca587c/author/1"><span itemprop="name">E. Woolliams</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nicolas Picot" itemprop="url" href="/person/1fefdab15886675662d8bf4ad91ca587c/author/2"><span itemprop="name">N. Picot</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jean-Christophe Poisson" itemprop="url" href="/person/1fefdab15886675662d8bf4ad91ca587c/author/3"><span itemprop="name">J. Poisson</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Henriette Skourup" itemprop="url" href="/person/1fefdab15886675662d8bf4ad91ca587c/author/4"><span itemprop="name">H. Skourup</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Geir Moholdt" itemprop="url" href="/person/1fefdab15886675662d8bf4ad91ca587c/author/5"><span itemprop="name">G. Moholdt</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sara Fleury" itemprop="url" href="/person/1fefdab15886675662d8bf4ad91ca587c/author/6"><span itemprop="name">S. Fleury</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sajedeh Behnia" itemprop="url" href="/person/1fefdab15886675662d8bf4ad91ca587c/author/7"><span itemprop="name">S. Behnia</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vincent Favier" itemprop="url" href="/person/1fefdab15886675662d8bf4ad91ca587c/author/8"><span itemprop="name">V. Favier</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Laurent Arnaud" itemprop="url" href="/person/1fefdab15886675662d8bf4ad91ca587c/author/9"><span itemprop="name">L. Arnaud</span></a></span></span> and 29 other author(s). </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Remote Sensing</span>, </em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Mon Dec 04 21:12:21 CET 2023Remote Sensing19Towards Operational Fiducial Reference Measurement (FRM) Data for the Calibration and Validation of the Sentinel-3 Surface Topography Mission over Inland Waters, Sea Ice, and Land Ice152023geoinst imported myown The Copernicus Sentinel-3 Surface Topography Mission (STM) Land Altimetry provides valuable surface elevation information over inland waters, sea ice, and land ice, thanks to its synthetic aperture radar (SAR) altimeter and its orbit that covers high-latitude polar regions. To ensure that these measurements are reliable and to maximise the return on investment, adequate validation of the geophysical retrieval methods, processing algorithms, and corrections must be performed using independent observations. The EU-ESA project St3TART (started July 2021) aims to generalise the concept of Fiducial Reference Measurements (FRMs) for the Copernicus Sentinel-3 STM. This work has gathered existing data, made new observations during field campaigns, and ensured that these observations meet the criteria of FRM standards so that they can be used to validate Sentinel-3 STM Land Altimetry products operationally. A roadmap for the operational provision of the FRM, including the definition, consolidation, and identification of the most relevant and cost-effective methods and protocols to be maintained, supported, or implemented, has been developed. The roadmap includes guidelines for SI traceability, definitions of FRM measurement procedures, processing methods, and uncertainty budget estimations.Estimating runoff from pan-Arctic drainage basins for 2002–2019 using an improved runoff-storage relationshiphttps://puma.ub.uni-stuttgart.de/bibtex/22a1cad57fc32e0d8e42e53427c79066c/touriantourian2023-09-19T10:11:03+02:00Arctic Boreal GRACE Runoff Runoff-storage basins geoinst imported pan-Arctic <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Shuang Yi" itemprop="url" href="/person/103fe1e28447c71d93838f3ffa5af89d7/author/0"><span itemprop="name">S. Yi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peyman Saemian" itemprop="url" href="/person/103fe1e28447c71d93838f3ffa5af89d7/author/1"><span itemprop="name">P. Saemian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nico Sneeuw" itemprop="url" href="/person/103fe1e28447c71d93838f3ffa5af89d7/author/2"><span itemprop="name">N. Sneeuw</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/103fe1e28447c71d93838f3ffa5af89d7/author/3"><span itemprop="name">M. Tourian</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Remote Sensing of Environment</span>, </em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Tue Sep 19 10:11:03 CEST 2023Remote Sensing of Environment113816Estimating runoff from pan-Arctic drainage basins for 2002–2019 using an improved runoff-storage relationship2982023Arctic Boreal GRACE Runoff Runoff-storage basins geoinst imported pan-Arctic The Arctic is undergoing dramatic climate and environmental changes. The long-term alterations in river discharges from the boreal catchments, which serve as vital links between the ocean and land, are having a profound impact on various environmental factors, particularly ocean circulation and sea-ice content. However, comprehensive and continuous monitoring of Arctic river discharge at seasonal or higher temporal resolutions remains challenging. In this study, we propose a new approach to estimate runoff by generating monthly runoff time series at the basin scale. Our method is based on changes in water storage observed by the gravimetric satellites Gravity Recovery and Climate Experiment (GRACE) and its follow-on mission since 2002. The method utilizes an empirical runoff-storage (R-S) relationship, offering simplicity and low computational burden while maintaining good accuracy in estimating runoff. To validate our method, we utilize in-situ runoff measurements from the seven largest boreal drainage basins spanning the period from 2002 to 2019, encompassing a total of 18 years. We divide these 18 years of observations into two phases: a training phase (8 years) and a testing phase (10 years). The results indicate that the R-S method established during the training phase yields monthly Nash-Sutcliffe efficiency (NSE) values ranging from 0.65 to 0.92 when compared to in-situ runoff measurements. Moreover, the method demonstrates a consistent performance in estimating runoff during the testing phase (monthly NSE: 0.67–0.84). With the exception of the Ob and Mackenzie basins, which exhibit distinct climatic conditions and hydrological networks, the R-S models are interchangeable across basins. This makes it suitable for both temporal and spatial extrapolation to fill data gaps, provided that accurate water and snow storage data are available. All in all, our method enables the reconstruction of monthly surface runoff across the entire boreal basins between 2002 and 2019. The results indicate an average annual runoff of 3200 ± 160 Gt over the study area of 1.58 × 107 km2. To evaluate the accuracy of our estimates, we compare the total runoff estimates obtained using the R-S method with those from 12 model estimates. Our estimates exhibit the highest correlation with available in-situ runoff measurements and yield monthly NSE values >0.57 for five out of the twelve model estimates. This study presents a convenient method to address the urgent need for comprehensive, continuous, and monthly temporal resolution of runoff estimates throughout the entire boreal region.A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage fluxhttps://puma.ub.uni-stuttgart.de/bibtex/2678e53a7f491f73d8bdddd647534bf49/touriantourian2023-06-22T06:19:23+02:00geoinst imported myown <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/1f124e1855da9d9828f5e935d4de5f189/author/0"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peyman Saemian" itemprop="url" href="/person/1f124e1855da9d9828f5e935d4de5f189/author/1"><span itemprop="name">P. Saemian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Vagner G. Ferreira" itemprop="url" href="/person/1f124e1855da9d9828f5e935d4de5f189/author/2"><span itemprop="name">V. Ferreira</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nico Sneeuw" itemprop="url" href="/person/1f124e1855da9d9828f5e935d4de5f189/author/3"><span itemprop="name">N. Sneeuw</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Frédéric Frappart" itemprop="url" href="/person/1f124e1855da9d9828f5e935d4de5f189/author/4"><span itemprop="name">F. Frappart</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Fabrice Papa" itemprop="url" href="/person/1f124e1855da9d9828f5e935d4de5f189/author/5"><span itemprop="name">F. Papa</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Remote Sensing of Environment</span>, </em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Thu Jun 22 06:19:23 CEST 2023Remote Sensing of Environment113685A copula-supported Bayesian framework for spatial downscaling of GRACE-derived terrestrial water storage flux2952023geoinst imported myown The GRACE and GRACE-FO satellite missions provide mass variations as a fundamentally new observation type for a broad spectrum of novel applications in Earth science disciplines, including oceanography, geophysics, hydrology, and hydrometeorology. Despite all the key findings in hydrology, the utility of GRACE-derived Terrestrial Water Storage Anomaly (TWSA) and its time derivative Terrestrial Water Storage Flux (TWSF) have mainly been limited to large catchments due to their coarse spatial resolution. Here, we propose a method to downscale TWSF by incorporating available finer-resolution data. We determine the downscaled TWSF and its uncertainty within a proposed Bayesian framework by incorporating the fine-scale data of TWSF and Soil Moisture Change (SMC) from different available sources. For the Bayesian ingredients, we rely on GRACE data to obtain the prior and rely on copula models to obtain nonparametric likelihood functions based on the statistical relationship between GRACE TWSF with fine-scale TWSF data and SMC. We apply our method to the Amazon Basin and assess the performances of our products from various fine-scale input datasets of TWSFs and SMCs. Given the lack of ground truth for TWSF, we validate our results against space-based Surface Water Storage Change (SWSC) in the Amazon river system and also against the Vertical Crustal Displacements Rate (VCDR) observed by the Global Positioning System (GPS). Overall, the results show that the proposed method is able to estimate a downscaled TWSF, which is informed by GRACE and fine-scale data. Validation shows that our downscaled products are better anticorrelated with VCDR (−0.81) than fine-scale TWSF (−0.73) and show a mean relative RMSE of 26% with SWSC versus 70% for fine-scale TWSF. The proposed methodology can be extended to other coarse scale datasets, which are crucial for hydrological application at regional and local scales.Retrieving time series of river water extent from global inland water data setshttps://puma.ub.uni-stuttgart.de/bibtex/2a60cd421c2665bd59daed554427544e2/touriantourian2023-04-03T11:36:03+02:00geoinst imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Omid Elmi" itemprop="url" href="/person/1ac9b8e442acbc64e25d3bb9ee93aaf64/author/0"><span itemprop="name">O. Elmi</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/1ac9b8e442acbc64e25d3bb9ee93aaf64/author/1"><span itemprop="name">M. Tourian</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Journal of Hydrology</span>, </em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Mon Apr 03 11:36:03 CEST 2023Journal of Hydrology128880Retrieving time series of river water extent from global inland water data sets6172023geoinst imported The accurate monitoring of the surface water storage as an essential component of the global water cycle requires a realistic representation of river networks and channel characteristics. Since such a representation has not been available for many rivers and is becoming less available even for many gauged rivers, crucial questions about the spatio-temporal dynamics of freshwater in river networks cannot be answered properly. The global coverage and fine temporal resolution of satellite imagery provide the opportunity to obtain time series of surface water extent at the global scale for almost all rivers. However, despite recent advances in satellite imaging sensors, water extraction algorithms, and big data processing capabilities, none of the available global water extent data sets can meet the necessary requirements in terms of accuracy and spatio-temporal resolutions. Due to the inherent complexity of monitoring the river surface extent, efforts have been limited to the development of global river extent data sets with a limited number of temporal layers usually obtained from long-term averaged satellite imagery. In this study, we propose a region-based image restoration algorithm to obtain the river surface extent from a pre-existing global inland water data set by incorporating temporal and spatial constraints between pixel labels. We employ our algorithm on the Monthly Water History maps of the Global Surface Water data set (Pekel et al., 2016). We validate the proposed method on 98 river reaches that their average width ranges from approximately 36m to 3400m with in situ discharge measurements in the Mississippi, Amazon, Niger and Po river basins. The obtained river width time series exhibit a strong monotonic relationship with discharge measurements as the Spearman correlation coefficients are predominantly larger than 0.70 (on average 0.74 for Mississippi, 0.84 for Amazon, 0.86 for Niger and 0.77 for Po rivers). Such a performance confirms that the proposed method can facilitate the acquisition of a global dynamic river extent data set, which plays a key role in better understanding the distribution and availability of freshwater across continents.Satellite observation of atmospheric CO2 and water storage change over Iranhttps://puma.ub.uni-stuttgart.de/bibtex/2a71b42277328a2f0dfa2af72c9435e8a/touriantourian2023-04-03T11:34:59+02:00climate geoinst grace, imported water <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Samaneh Safaeian" itemprop="url" href="/person/12c280259c533ce4ee53707605651f98f/author/0"><span itemprop="name">S. Safaeian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Samereh Falahatkar" itemprop="url" href="/person/12c280259c533ce4ee53707605651f98f/author/1"><span itemprop="name">S. Falahatkar</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/12c280259c533ce4ee53707605651f98f/author/2"><span itemprop="name">M. Tourian</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Scientific Reports</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">13 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">3036--</span></em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)</span>Mon Apr 03 11:34:59 CEST 2023Scientific Reports13036--Satellite observation of atmospheric CO2 and water storage change over Iran132023climate geoinst grace, imported water Like many other Middle East countries, Iran has been suffering from severe water shortages over the last two decades, as evidenced by significant decline in surface water and groundwater levels. The observed changes in water storage can be attributed to the mutually reinforcing effects of human activities, climatic variability, and of course the climate change. The objective of this study is to analyze the dependency of atmospheric CO2 increase on the water shortage of Iran, for which we investigate the spatial relationship between water storage change and CO2 concentration using large scale satellite data. We conduct our analysis using water storage change data from GRACE satellite and atmospheric CO2 concentration from GOSAT and SCIAMACHY satellites during 2002–2015. To analyze the long-term behavior of time series we benefit from Mann-Kendal test and for the investigation of the relationship between atmospheric CO2 concentration and total water storage we use Canonical Correlation Analysis (CCA) and Regression model. Our Results show that the water storage change anomaly and CO2 concentration are negatively correlated especially in northern, western, southwest (Khuzestan province), and also southeast (Kerman, Hormozgan, Sistan, and Baluchestan provinces) of Iran. CCA results reveal that in the most of northern regions, the decrease in water storage is significantly influenced by the increase of CO2 concentration. The results further show that precipitation in the highland and peaks does not seem to be influenced by the long and short-term variation in CO2 concentration. Besides, our results show that the CO2 concentration is slightly correlated with a weak positive trend in evapotranspiration over agricultural areas. Thus, the indirect effect of CO2 on increasing evapotranspiration is observed spatially in the whole of Iran. The results of the regression model between total water storage change and carbon dioxide (R2 = 0.91)/water discharge/water consumption show that carbon dioxide has the highest effect on total water storage change at large scale. The results of this study will contribute to both water resource management and mitigation plans to achieve the goal of CO2 emission reduction.A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite missionhttps://puma.ub.uni-stuttgart.de/bibtex/28ce34d1fc087b5fa34a055ae856a7f27/touriantourian2023-04-03T11:33:24+02:00SWOT discharge, geoinst, hydrology, imported inverse mission problem, remote sensing, <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michael Durand" itemprop="url" href="/person/1d9cc694f083a5551adcc2126c3608b58/author/0"><span itemprop="name">M. Durand</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Colin J. Gleason" itemprop="url" href="/person/1d9cc694f083a5551adcc2126c3608b58/author/1"><span itemprop="name">C. Gleason</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tamlin M. Pavelsky" itemprop="url" href="/person/1d9cc694f083a5551adcc2126c3608b58/author/2"><span itemprop="name">T. Pavelsky</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Renato de Prata Moraes Frasson" itemprop="url" href="/person/1d9cc694f083a5551adcc2126c3608b58/author/3"><span itemprop="name">R. de Prata Moraes Frasson</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Michael Turmon" itemprop="url" href="/person/1d9cc694f083a5551adcc2126c3608b58/author/4"><span itemprop="name">M. Turmon</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Cédric H. David" itemprop="url" href="/person/1d9cc694f083a5551adcc2126c3608b58/author/5"><span itemprop="name">C. David</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Elizabeth H. Altenau" itemprop="url" href="/person/1d9cc694f083a5551adcc2126c3608b58/author/6"><span itemprop="name">E. Altenau</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nikki Tebaldi" itemprop="url" href="/person/1d9cc694f083a5551adcc2126c3608b58/author/7"><span itemprop="name">N. Tebaldi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Kevin Larnier" itemprop="url" href="/person/1d9cc694f083a5551adcc2126c3608b58/author/8"><span itemprop="name">K. Larnier</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jerome Monnier" itemprop="url" href="/person/1d9cc694f083a5551adcc2126c3608b58/author/9"><span itemprop="name">J. Monnier</span></a></span></span> and 28 other author(s). </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Water Resources Research</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">n/a </span></span>(<span itemprop="issueNumber">n/a</span>):
<span itemprop="pagination">e2021WR031614</span></em> </span>(<em><span>2023<meta content="2023" itemprop="datePublished"/></span></em>)<em>e2021WR031614 2021WR031614.</em></span>Mon Apr 03 11:33:24 CEST 2023Water Resources Researche2021WR031614 2021WR031614n/ae2021WR031614A framework for estimating global river discharge from the Surface Water and Ocean Topography satellite missionn/a2023SWOT discharge, geoinst, hydrology, imported inverse mission problem, remote sensing, Abstract The Surface Water and Ocean Topography (SWOT) mission will vastly expand measurements of global rivers, providing critical new datasets for both gaged and ungaged basins. SWOT discharge products (available approximately one year after launch) will provide discharge for all river reaches wider than 100 m. In this paper, we describe how SWOT discharge produced and archived by the US and French space agencies will be computed from measurements of river water surface elevation, width, and slope and ancillary data, along with expected discharge accuracy. We present for the first time a complete estimate of the SWOT discharge uncertainty budget, with separate terms for random (standard error) and systematic (bias) uncertainty components in river discharge timeseries. We expect that discharge uncertainty will be less than 30\% for two thirds of global reaches and will be dominated by bias. Separate river discharge estimates will combine both SWOT and in situ data; these “gage constrained” discharge estimates can be expected to have lower systematic uncertainty. Temporal variations in river discharge timeseries will be dominated by random error and are expected to be estimated to within 15\% for nearly all reaches, allowing accurate inference of event flow dynamics globally, including in ungaged basins. We believe this level of accuracy lays the groundwork for SWOT to enable breakthroughs in global hydrologic science.Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time serieshttps://puma.ub.uni-stuttgart.de/bibtex/205f6f4b2ab74cbf57fa5dc0e45c1ced8/touriantourian2022-12-05T12:36:06+01:00geoinst imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Robert Behling" itemprop="url" href="/person/13f4e8969cfd00eeba5f57fe7ee4687fa/author/0"><span itemprop="name">R. Behling</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sigrid Roessner" itemprop="url" href="/person/13f4e8969cfd00eeba5f57fe7ee4687fa/author/1"><span itemprop="name">S. Roessner</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Saskia Foerster" itemprop="url" href="/person/13f4e8969cfd00eeba5f57fe7ee4687fa/author/2"><span itemprop="name">S. Foerster</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peyman Saemian" itemprop="url" href="/person/13f4e8969cfd00eeba5f57fe7ee4687fa/author/3"><span itemprop="name">P. Saemian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/13f4e8969cfd00eeba5f57fe7ee4687fa/author/4"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tanja C. Portele" itemprop="url" href="/person/13f4e8969cfd00eeba5f57fe7ee4687fa/author/5"><span itemprop="name">T. Portele</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christof Lorenz" itemprop="url" href="/person/13f4e8969cfd00eeba5f57fe7ee4687fa/author/6"><span itemprop="name">C. Lorenz</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Scientific Reports</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">12 </span></span>(<span itemprop="issueNumber">1</span>):
<span itemprop="pagination">20784--</span></em> </span>(<em><span>2022<meta content="2022" itemprop="datePublished"/></span></em>)</span>Mon Dec 05 12:36:06 CET 2022Scientific Reports120784--Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series122022geoinst imported Iran has experienced a drastic increase in water scarcity in the last decades. The main driver has been the substantial unsustainable water consumption of the agricultural sector. This study quantifies the spatiotemporal dynamics of Iran’s hydrometeorological water availability, land cover, and vegetation growth and evaluates their interrelations with a special focus on agricultural vegetation developments. It analyzes globally available reanalysis climate data and satellite time series data and products, allowing a country-wide investigation of recent 20+ years at detailed spatial and temporal scales. The results reveal a wide-spread agricultural expansion (27,000 km$$^2$$) and a significant cultivation intensification (48,000 km$$^2$$). At the same time, we observe a substantial decline in total water storage that is not represented by a decrease of meteorological water input, confirming an unsustainable use of groundwater mainly for agricultural irrigation. As consequence of water scarcity, we identify agricultural areas with a loss or reduction of vegetation growth (10,000 km$$^2$$), especially in irrigated agricultural areas under (hyper-)arid conditions. In Iran’s natural biomes, the results show declining trends in vegetation growth and land cover degradation from sparse vegetation to barren land in 40,000 km$$^2$$, mainly along the western plains and foothills of the Zagros Mountains, and at the same time wide-spread greening trends, particularly in regions of higher altitudes. Overall, the findings provide detailed insights in vegetation-related causes and consequences of Iran’s anthropogenic drought and can support sustainable management plans for Iran or other semi-arid regions worldwide, often facing similar conditions.How much water did Iran lose over the last two decades?https://puma.ub.uni-stuttgart.de/bibtex/27b42f350e61d7ca7e839056ce3c472c2/touriantourian2022-11-28T10:30:18+01:00GRACE, Groundwater Satellite Water depletion, geoinst gravimetry, imported scarcity storage, <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peyman Saemian" itemprop="url" href="/person/1bd7529ee8279e4a69108b9e1b7a2d84e/author/0"><span itemprop="name">P. Saemian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/1bd7529ee8279e4a69108b9e1b7a2d84e/author/1"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Amir AghaKouchak" itemprop="url" href="/person/1bd7529ee8279e4a69108b9e1b7a2d84e/author/2"><span itemprop="name">A. AghaKouchak</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Kaveh Madani" itemprop="url" href="/person/1bd7529ee8279e4a69108b9e1b7a2d84e/author/3"><span itemprop="name">K. Madani</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nico Sneeuw" itemprop="url" href="/person/1bd7529ee8279e4a69108b9e1b7a2d84e/author/4"><span itemprop="name">N. Sneeuw</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Journal of Hydrology: Regional Studies</span>, </em> </span>(<em><span>2022<meta content="2022" itemprop="datePublished"/></span></em>)</span>Mon Nov 28 10:30:18 CET 2022Journal of Hydrology: Regional Studies101095How much water did Iran lose over the last two decades?412022GRACE, Groundwater Satellite Water depletion, geoinst gravimetry, imported scarcity storage, Study area
Iran.
Study focus
Iran, once a pioneer of sustainable water management, is currently facing water bankruptcy. Aggressive exhaustion of non-renewable water has led to a suite of environmental and socio-economic problems across the country. Nevertheless, the understanding of Iran’s water loss is still incomplete due to a lack of conclusive data. In this study, we employ satellite gravimetry observations, in-situ and globally precipitation data, and gauged groundwater level to investigate the total water storage (TWS) loss in Iran over the last two decades.
New hydrological insights for the region
We quantify Iran’s water loss using a data-driven approach supported by a Monte-Carlo simulation. Our analysis indicates TWS loss of 211 ± 34 km3 (> twice Iran’s annual water consumption) within the 2003–2019 period. The mean groundwater level has dropped significantly at a rate of − 28 ± 1.4 cm/yr. This tremendous water loss happened despite an overall increased relative precipitation rate of + 4.9 ± 0.02 km3/yr. Thus the TWS loss can only be explained by drastic overexploitation of non-renewable water resources. Two major extreme events occurred during the study period, namely the 2007 drought and early 2019 floods. The former resulted in a total 115 ± 0.6 km3 water loss, one-third of the long-term annual precipitation. Approximately the same amount was brought back by a series of extreme precipitation events leading to floods in early 2019. Our results raise critical issues regarding unsustainable water management in Iran and highlight the crucial role of spaceborne measurements for understanding short-term and long-term water availability change in the absence of sufficient ground data.Improving the Modeling of Sea Surface Currents in the Persian Gulf and the Oman Sea Using Data Assimilation of Satellite Altimetry and Hydrographic Observationshttps://puma.ub.uni-stuttgart.de/bibtex/237ddc785bb1eef0987d58c13fb1e1367/touriantourian2022-11-28T10:29:09+01:00geoinst imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mahmoud Pirooznia" itemprop="url" href="/person/1d29585c20027be1cd19d937b294a6aff/author/0"><span itemprop="name">M. Pirooznia</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mehdi Raoofian Naeeni" itemprop="url" href="/person/1d29585c20027be1cd19d937b294a6aff/author/1"><span itemprop="name">M. Raoofian Naeeni</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alireza Atabati" itemprop="url" href="/person/1d29585c20027be1cd19d937b294a6aff/author/2"><span itemprop="name">A. Atabati</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/1d29585c20027be1cd19d937b294a6aff/author/3"><span itemprop="name">M. Tourian</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Remote Sensing</span>, </em> </span>(<em><span>2022<meta content="2022" itemprop="datePublished"/></span></em>)</span>Mon Nov 28 10:29:09 CET 2022Remote Sensing19Improving the Modeling of Sea Surface Currents in the Persian Gulf and the Oman Sea Using Data Assimilation of Satellite Altimetry and Hydrographic Observations142022geoinst imported Sea surface currents are often modeled using numerical models without adequately addressing the issue of model calibration at the regional scale. The aim of this study is to calibrate the MIKE 21 numerical ocean model for the Persian Gulf and the Oman Sea to improve the sea surface currents obtained from the model. The calibration was performed through data assimilation of the model with altimetry and hydrographic observations using variational data assimilation, where the weights of the objective functions were defined based on the type of observations and optimized using metaheuristic optimization methods. According to the results, the calibration of the model generally led the model results closer to the observations. This was reflected in an improvement of about 0.09 m/s in the obtained sea surface currents. It also allowed for more accurate evaluations of model parameters, such as Smagorinsky and Manning coefficients. Moreover, the root mean square error values between the satellite altimetry observations at control stations and the assimilated model varied between 0.058 and 0.085 m. We further showed that the kinetic energy produced by sea surface currents could be used for generating electricity in the Oman Sea and near Jask harbor.Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5https://puma.ub.uni-stuttgart.de/bibtex/2ec952595ff449504c1022011ebc3d996/touriantourian2022-11-28T10:28:12+01:00ERA, analysis decomposition, error estimates, evaluation, geoinst imported multi-scale precipitation statistical <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Navid Ghajarnia" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/0"><span itemprop="name">N. Ghajarnia</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mahdi Akbari" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/1"><span itemprop="name">M. Akbari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peyman Saemian" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/2"><span itemprop="name">P. Saemian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad Reza Ehsani" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/3"><span itemprop="name">M. Ehsani</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Seyed-Mohammad Hosseini-Moghari" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/4"><span itemprop="name">S. Hosseini-Moghari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Asghar Azizian" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/5"><span itemprop="name">A. Azizian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Zahra Kalantari" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/6"><span itemprop="name">Z. Kalantari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ali Behrangi" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/7"><span itemprop="name">A. Behrangi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/8"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Björn Klöve" itemprop="url" href="/person/1864577af10785fbb6ed1ad6c31ba06e2/author/9"><span itemprop="name">B. Klöve</span></a></span></span> and 1 other author(s). </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Earth and Space Science</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">9 </span></span>(<span itemprop="issueNumber">10</span>):
<span itemprop="pagination">e2022EA002352</span></em> </span>(<em><span>2022<meta content="2022" itemprop="datePublished"/></span></em>)<em>e2022EA002352 2022EA002352.</em></span>Mon Nov 28 10:28:12 CET 2022Earth and Space Sciencee2022EA002352 2022EA00235210e2022EA002352Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA592022ERA, analysis decomposition, error estimates, evaluation, geoinst imported multi-scale precipitation statistical Abstract European Center for Medium-Range Weather Forecasts Reanalysis (ERA), one of the most widely used precipitation products, has evolved from ERA-40 to ERA-20CM, ERA-20C, ERA-Interim, and ERA5. Studies evaluating the performance of individual ERA products cannot adequately assess the evolution of the products. We compared the performance of all ERA precipitation products at daily, monthly, and annual data (1980–2018) using more than 2100 Iran precipitation gauges. Results indicated that ERA-40 performed worst, followed by ERA-20CM, which showed only minor improvements over ERA-40. ERA-20C considerably outperformed its predecessors, benefiting from the assimilation of observational data. Although several previous studies have reported full superiority of ERA5 over ERA-Interim, our results revealed several shortcomings in ERA5 compared with the ERA-Interim estimates. Both ERA-Interim and ERA5 performed best overall, with ERA-Interim showing better statistical and categorical skill scores, and ERA5 performing better in estimating extreme precipitations. These results suggest that the accuracy of ERA precipitation products has improved from ERA-40 to ERA-Interim, but not consistently from ERA-Interim to ERA5. This study employed a grid-grid comparison approach by first creating a gridded reference data set through the spatial aggregation of point source observations, however, the results from a point-grid approach showed no change in the overall ranking of products (despite the slight changes in the error index values). These findings are useful for model development at a global scale and for hydrological applications in Iran.Crop Water Productivity Mapping and Benchmarking Using Remote Sensing and Google Earth Engine Cloud Computinghttps://puma.ub.uni-stuttgart.de/bibtex/29eed857ce9b920929e16e9202ee29a42/touriantourian2022-11-28T10:27:00+01:00geoinst imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ali Karbalaye Ghorbanpour" itemprop="url" href="/person/154e478ef6607821df2f11c4bd7f861e8/author/0"><span itemprop="name">A. Ghorbanpour</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Isaya Kisekka" itemprop="url" href="/person/154e478ef6607821df2f11c4bd7f861e8/author/1"><span itemprop="name">I. Kisekka</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Abbas Afshar" itemprop="url" href="/person/154e478ef6607821df2f11c4bd7f861e8/author/2"><span itemprop="name">A. Afshar</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Tim Hessels" itemprop="url" href="/person/154e478ef6607821df2f11c4bd7f861e8/author/3"><span itemprop="name">T. Hessels</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mahdi Taraghi" itemprop="url" href="/person/154e478ef6607821df2f11c4bd7f861e8/author/4"><span itemprop="name">M. Taraghi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Behzad Hessari" itemprop="url" href="/person/154e478ef6607821df2f11c4bd7f861e8/author/5"><span itemprop="name">B. Hessari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/154e478ef6607821df2f11c4bd7f861e8/author/6"><span itemprop="name">M. Tourian</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Zheng Duan" itemprop="url" href="/person/154e478ef6607821df2f11c4bd7f861e8/author/7"><span itemprop="name">Z. Duan</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Remote Sensing</span>, </em> </span>(<em><span>2022<meta content="2022" itemprop="datePublished"/></span></em>)</span>Mon Nov 28 10:27:00 CET 2022Remote Sensing19Crop Water Productivity Mapping and Benchmarking Using Remote Sensing and Google Earth Engine Cloud Computing142022geoinst imported Scarce water resources present a major hindrance to ensuring food security. Crop water productivity (WP), embraced as one of the Sustainable Development Goals (SDGs), is playing an integral role in the performance-based evaluation of agricultural systems and securing sustainable food production. This study aims at developing a cloud-based model within the Google Earth Engine (GEE) based on Landsat -7 and -8 satellite imagery to facilitate WP mapping at regional scales (30-m resolution) and analyzing the state of the water use efficiency and productivity of the agricultural sector as a means of benchmarking its WP and defining local gaps and targets at spatiotemporal scales. The model was tested in three major agricultural districts in the Lake Urmia Basin (LUB) with respect to five crop types, including irrigated wheat, rainfed wheat, apples, grapes, alfalfa, and sugar beets as the major grown crops. The actual evapotranspiration (ET) was estimated using geeSEBAL based on the Surface Energy Balance Algorithm for Land (SEBAL) methodology, while for crop yield estimations Monteith’s Light Use Efficiency model (LUE) was employed. The results indicate that the WP in the LUB is below its optimum targets, revealing that there is a significant degree of work necessary to ameliorate the WP in the LUB. The WP varies between 0.49–0.55 (kg/m3) for irrigated wheat, 0.27–0.34 for rainfed wheat, 1.7–2.2 for apples, 1.2–1.7 for grapes, 5.5–6.2 for sugar beets, and 0.67–1.08 for alfalfa, which could be potentially increased up to 80%, 150%, 76%, 83%, 55%, and 48%, respectively. The spatial variation of the WP and crop yield makes it feasible to detect the areas with the best and poorest on-farm practices, thereby facilitating the better targeting of resources to bridge the WP gap through water management practices. This study provides important insights into the status and potential of WP with possible worldwide applications at both farm and government levels for policymakers, practitioners, and growers to adopt effective policy guidelines and improve on-farm practices.Constraining river streamflow determination using bathymetry and slope from ICESat-2 satellite altimetryhttps://puma.ub.uni-stuttgart.de/bibtex/24fd03ba56e0b35acc6fd9fcea88f700d/touriantourian2022-05-27T09:20:41+02:00geoinst imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nico Sneeuw" itemprop="url" href="/person/1fcdd2798a22a70e42238c421364d4034/author/0"><span itemprop="name">N. Sneeuw</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bo Wang" itemprop="url" href="/person/1fcdd2798a22a70e42238c421364d4034/author/1"><span itemprop="name">B. Wang</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jingyi Bao" itemprop="url" href="/person/1fcdd2798a22a70e42238c421364d4034/author/2"><span itemprop="name">J. Bao</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Siqi Ke" itemprop="url" href="/person/1fcdd2798a22a70e42238c421364d4034/author/3"><span itemprop="name">S. Ke</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad Tourian" itemprop="url" href="/person/1fcdd2798a22a70e42238c421364d4034/author/4"><span itemprop="name">M. Tourian</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>March 2022<meta content="March 2022" itemprop="datePublished"/></span></em>)</span>Fri May 27 09:20:41 CEST 2022marConstraining river streamflow determination using bathymetry and slope from {ICESat}-2 satellite altimetry2022geoinst imported HydroSat: a repository of global water cycle products from spaceborne geodetic sensorshttps://puma.ub.uni-stuttgart.de/bibtex/25a5bb46aca91bd64310cabec1aba08a5/touriantourian2022-05-27T09:20:41+02:00imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/14d60db443ae36887c7f444815e920cbb/author/0"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Omid Elmi" itemprop="url" href="/person/14d60db443ae36887c7f444815e920cbb/author/1"><span itemprop="name">O. Elmi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yasin Shafaghi" itemprop="url" href="/person/14d60db443ae36887c7f444815e920cbb/author/2"><span itemprop="name">Y. Shafaghi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sajedeh Behnia" itemprop="url" href="/person/14d60db443ae36887c7f444815e920cbb/author/3"><span itemprop="name">S. Behnia</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peyman Saemian" itemprop="url" href="/person/14d60db443ae36887c7f444815e920cbb/author/4"><span itemprop="name">P. Saemian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ron Schlesinger" itemprop="url" href="/person/14d60db443ae36887c7f444815e920cbb/author/5"><span itemprop="name">R. Schlesinger</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nico Sneeuw" itemprop="url" href="/person/14d60db443ae36887c7f444815e920cbb/author/6"><span itemprop="name">N. Sneeuw</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>July 2021<meta content="July 2021" itemprop="datePublished"/></span></em>)</span>Fri May 27 09:20:41 CEST 2022jul{HydroSat}: a repository of global water cycle products from spaceborne geodetic sensors2021imported Satellite observations for runoff and river discharge estimation: STREAMRIDE approach&\#160$\mathsemicolon$https://puma.ub.uni-stuttgart.de/bibtex/2445e7c3da799e21a93dbeac4a6b6c507/touriantourian2022-05-27T09:20:41+02:00imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stefania Camici" itemprop="url" href="/person/1c5d000ec420a07efd946d0d147f1fb3f/author/0"><span itemprop="name">S. Camici</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Angelica Tarpanelli" itemprop="url" href="/person/1c5d000ec420a07efd946d0d147f1fb3f/author/1"><span itemprop="name">A. Tarpanelli</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Luca Brocca" itemprop="url" href="/person/1c5d000ec420a07efd946d0d147f1fb3f/author/2"><span itemprop="name">L. Brocca</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Christian Massari" itemprop="url" href="/person/1c5d000ec420a07efd946d0d147f1fb3f/author/3"><span itemprop="name">C. Massari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Karina Nielsen" itemprop="url" href="/person/1c5d000ec420a07efd946d0d147f1fb3f/author/4"><span itemprop="name">K. Nielsen</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nico Sneeuw" itemprop="url" href="/person/1c5d000ec420a07efd946d0d147f1fb3f/author/5"><span itemprop="name">N. Sneeuw</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/1c5d000ec420a07efd946d0d147f1fb3f/author/6"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Shuang Yi" itemprop="url" href="/person/1c5d000ec420a07efd946d0d147f1fb3f/author/7"><span itemprop="name">S. Yi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Marco Restano" itemprop="url" href="/person/1c5d000ec420a07efd946d0d147f1fb3f/author/8"><span itemprop="name">M. Restano</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jérôme Benveniste" itemprop="url" href="/person/1c5d000ec420a07efd946d0d147f1fb3f/author/9"><span itemprop="name">J. Benveniste</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>March 2022<meta content="March 2022" itemprop="datePublished"/></span></em>)</span>Fri May 27 09:20:41 CEST 2022marSatellite observations for runoff and river discharge estimation: {STREAMRIDE} approach{\&}{\#}160$\mathsemicolon$2022imported Evaluating the Evolution of ECMWF Precipitation Products Using Observational Data for Iran: From ERA40 to ERA5https://puma.ub.uni-stuttgart.de/bibtex/2c02a26a3ab650b27e1c72792686b74a7/touriantourian2022-05-27T09:20:41+02:00imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Navid Ghajarnia" itemprop="url" href="/person/1185c56e7e388e6aa7b2697f0c8a0d1a8/author/0"><span itemprop="name">N. Ghajarnia</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mahdi Akbari" itemprop="url" href="/person/1185c56e7e388e6aa7b2697f0c8a0d1a8/author/1"><span itemprop="name">M. Akbari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Peyman Saemian" itemprop="url" href="/person/1185c56e7e388e6aa7b2697f0c8a0d1a8/author/2"><span itemprop="name">P. Saemian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad Reza Ehsani" itemprop="url" href="/person/1185c56e7e388e6aa7b2697f0c8a0d1a8/author/3"><span itemprop="name">M. Ehsani</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Seyed-Mohammad Hosseini-Moghari" itemprop="url" href="/person/1185c56e7e388e6aa7b2697f0c8a0d1a8/author/4"><span itemprop="name">S. Hosseini-Moghari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Asghar Azizian" itemprop="url" href="/person/1185c56e7e388e6aa7b2697f0c8a0d1a8/author/5"><span itemprop="name">A. Azizian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Zahra Kalantari" itemprop="url" href="/person/1185c56e7e388e6aa7b2697f0c8a0d1a8/author/6"><span itemprop="name">Z. Kalantari</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ali Behrangi" itemprop="url" href="/person/1185c56e7e388e6aa7b2697f0c8a0d1a8/author/7"><span itemprop="name">A. Behrangi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad Javad Tourian" itemprop="url" href="/person/1185c56e7e388e6aa7b2697f0c8a0d1a8/author/8"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Björn Klöve" itemprop="url" href="/person/1185c56e7e388e6aa7b2697f0c8a0d1a8/author/9"><span itemprop="name">B. Klöve</span></a></span></span> and 1 other author(s). </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>March 2022<meta content="March 2022" itemprop="datePublished"/></span></em>)</span>Fri May 27 09:20:41 CEST 2022marEvaluating the Evolution of {ECMWF} Precipitation Products Using Observational Data for Iran: From {ERA}40 to {ERA}52022imported Spaceborne River Discharge From a Nonparametric Stochastic Quantile Mapping Functionhttps://puma.ub.uni-stuttgart.de/bibtex/2b6dbb5aaaae3955582f99c1d1f1f6d3b/touriantourian2022-05-27T09:20:41+02:00imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Omid Elmi" itemprop="url" href="/person/1e3d6ec7d5cdd78d0ac56b3689bb4b105/author/0"><span itemprop="name">O. Elmi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/1e3d6ec7d5cdd78d0ac56b3689bb4b105/author/1"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="András Bárdossy" itemprop="url" href="/person/1e3d6ec7d5cdd78d0ac56b3689bb4b105/author/2"><span itemprop="name">A. Bárdossy</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nico Sneeuw" itemprop="url" href="/person/1e3d6ec7d5cdd78d0ac56b3689bb4b105/author/3"><span itemprop="name">N. Sneeuw</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Water Resources Research</span>, </em> </span>(<em><span>December 2021<meta content="December 2021" itemprop="datePublished"/></span></em>)</span>Fri May 27 09:20:41 CEST 2022Water Resources Research12Spaceborne River Discharge From a Nonparametric Stochastic Quantile Mapping Function2021imported A combined use of in situ and satellite-derived observations to characterize surface hydrology and its variability in the Congo River Basinhttps://puma.ub.uni-stuttgart.de/bibtex/236b79cd851ddd426cd177912eeba3b25/touriantourian2022-05-27T09:20:41+02:00imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Benjamin Kitambo" itemprop="url" href="/person/1b08aeaa157207d3d78c9f65e0f5aa756/author/0"><span itemprop="name">B. Kitambo</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Fabrice Papa" itemprop="url" href="/person/1b08aeaa157207d3d78c9f65e0f5aa756/author/1"><span itemprop="name">F. Papa</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Adrien Paris" itemprop="url" href="/person/1b08aeaa157207d3d78c9f65e0f5aa756/author/2"><span itemprop="name">A. Paris</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Raphael Tshimanga" itemprop="url" href="/person/1b08aeaa157207d3d78c9f65e0f5aa756/author/3"><span itemprop="name">R. Tshimanga</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stephane Calmant" itemprop="url" href="/person/1b08aeaa157207d3d78c9f65e0f5aa756/author/4"><span itemprop="name">S. Calmant</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ayan Santos Fleischmann" itemprop="url" href="/person/1b08aeaa157207d3d78c9f65e0f5aa756/author/5"><span itemprop="name">A. Fleischmann</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Frederic Frappart" itemprop="url" href="/person/1b08aeaa157207d3d78c9f65e0f5aa756/author/6"><span itemprop="name">F. Frappart</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Melanie Becker" itemprop="url" href="/person/1b08aeaa157207d3d78c9f65e0f5aa756/author/7"><span itemprop="name">M. Becker</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/1b08aeaa157207d3d78c9f65e0f5aa756/author/8"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Catherine Prigent" itemprop="url" href="/person/1b08aeaa157207d3d78c9f65e0f5aa756/author/9"><span itemprop="name">C. Prigent</span></a></span></span> and 1 other author(s). </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>July 2021<meta content="July 2021" itemprop="datePublished"/></span></em>)</span>Fri May 27 09:20:41 CEST 2022julA combined use of in situ and satellite-derived observations to characterize surface hydrology and its variability in the Congo River Basin2021imported Current availability and distribution of Congo basin\textquotesingles freshwater resourceshttps://puma.ub.uni-stuttgart.de/bibtex/21bdca89199087ea0ec3c9943e368cd8b/touriantourian2022-05-27T09:20:41+02:00imported <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mohammad J. Tourian" itemprop="url" href="/person/17907273ea66f3c9f821223ab7aa6b55d/author/0"><span itemprop="name">M. Tourian</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Fabrice Papa" itemprop="url" href="/person/17907273ea66f3c9f821223ab7aa6b55d/author/1"><span itemprop="name">F. Papa</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Omid Elmi" itemprop="url" href="/person/17907273ea66f3c9f821223ab7aa6b55d/author/2"><span itemprop="name">O. Elmi</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nico Sneeuw" itemprop="url" href="/person/17907273ea66f3c9f821223ab7aa6b55d/author/3"><span itemprop="name">N. Sneeuw</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Benjamin Kitambo" itemprop="url" href="/person/17907273ea66f3c9f821223ab7aa6b55d/author/4"><span itemprop="name">B. Kitambo</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Raphael Tshimanga" itemprop="url" href="/person/17907273ea66f3c9f821223ab7aa6b55d/author/5"><span itemprop="name">R. Tshimanga</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Adrien Paris" itemprop="url" href="/person/17907273ea66f3c9f821223ab7aa6b55d/author/6"><span itemprop="name">A. Paris</span></a></span>, </span> and <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stephane Calmant" itemprop="url" href="/person/17907273ea66f3c9f821223ab7aa6b55d/author/7"><span itemprop="name">S. Calmant</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>March 2022<meta content="March 2022" itemprop="datePublished"/></span></em>)</span>Fri May 27 09:20:41 CEST 2022marCurrent availability and distribution of Congo basin{\textquotesingle}s freshwater resources2022imported