{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T05:25:10Z","timestamp":1775539510170,"version":"3.50.1"},"reference-count":104,"publisher":"MDPI AG","issue":"5","license":[{"start":{"date-parts":[[2019,2,26]],"date-time":"2019-02-26T00:00:00Z","timestamp":1551139200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The snow-fed river basins of the Near East region are facing an urgent threat in the form of declining water resources. In this study, we analyzed several remote sensing products (optical, passive microwave, and gravimetric) and outputs of a meteorological reanalysis data set to understand the relationship between the terrestrial water storage anomalies and the mountain snowpack. The results from different satellite retrievals show a clear signal of a depletion of both water storage and the seasonal snowpack in four basins in the region. We find a strong reduction in terrestrial water storage over the Gravity Recovery and Climate Experiment (GRACE) observational period, particularly over the higher elevations. Snow-cover duration estimates from Moderate Resolution Imaging Spectroradiometer (MODIS) products point towards negative and significant trends up to one month per decade in the current era. These numbers are a clear indicator of the partial disappearance of the seasonal snow-cover in the region which has been projected to occur by the end of the century. The spatial patterns of changes in the snow-cover duration are positively correlated with both GRACE terrestrial water storage decline and peak snow water equivalent (SWE) depletion from the ERA5 reanalysis. Possible drivers of the snowpack depletion are a significant reduction in the snowfall ratio and an earlier snowmelt. A continued depletion of the montane snowpack in the Near East paints a bleak picture for future water availability in this water-stressed region.<\/jats:p>","DOI":"10.3390\/rs11050483","type":"journal-article","created":{"date-parts":[[2019,2,26]],"date-time":"2019-02-26T11:00:44Z","timestamp":1551178844000},"page":"483","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":26,"title":["Multiple Remotely Sensed Lines of Evidence for a Depleting Seasonal Snowpack in the Near East"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7937-5056","authenticated-orcid":false,"given":"Yeliz","family":"Y\u0131lmaz","sequence":"first","affiliation":[{"name":"Eurasia Institute of Earth Sciences, Istanbul Technical University, Maslak 34469, Istanbul, Turkey"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2475-3731","authenticated-orcid":false,"given":"Kristoffer","family":"Aalstad","sequence":"additional","affiliation":[{"name":"Department of Geosciences, University of Oslo, P.O. Box 1047, Blindern, 0316 Oslo, Norway"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8186-8594","authenticated-orcid":false,"given":"Omer","family":"Sen","sequence":"additional","affiliation":[{"name":"Eurasia Institute of Earth Sciences, Istanbul Technical University, Maslak 34469, Istanbul, Turkey"}]}],"member":"1968","published-online":{"date-parts":[[2019,2,26]]},"reference":[{"key":"ref_1","unstructured":"Frenken, K. (2009). Irrigation in the Middle East Region in Figures\u2014AQUASTAT Survey\u20142008, Food and Agriculture Organization of the United Nations. FAO Water Reports 34."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"347","DOI":"10.1007\/s13412-014-0185-9","article-title":"An analysis of the causes of water crisis in the Euphrates-Tigris river basin","volume":"4","author":"Kibaroglu","year":"2014","journal-title":"J. Environ. Stud. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1111\/j.1936-704X.2012.03130.x","article-title":"The Past, Present, and Future of Water Conflict and International Security","volume":"149","author":"Kreamer","year":"2012","journal-title":"J. Contemp. Water Res. Educ."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3241","DOI":"10.1073\/pnas.1421533112","article-title":"Climate change in the Fertile Crescent and implications of the recent Syrian drought","volume":"112","author":"Kelley","year":"2015","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"014002","DOI":"10.1088\/1748-9326\/11\/1\/014002","article-title":"Water stress in global transboundary river basins: Significance of upstream water use on downstream stress","volume":"11","author":"Munia","year":"2016","journal-title":"Environ. Res. Lett."},{"key":"ref_6","unstructured":"Bates, B.C., Kundzewicz, Z.W., Wu, S., and Palutikof, J.P. (2008). Climate Change and Water, IPCC Secretariat. Technical Paper of the Intergovernmental Panel on Climate Change."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Mankin, J.S., Viviroli, D., Singh, D., Hoekstra, A.Y., and Diffenbaugh, N.S. (2015). The potential for snow to supply human water demand in the present and future. Environ. Res. Lett., 10.","DOI":"10.1088\/1748-9326\/10\/11\/114016"},{"key":"ref_8","first-page":"2144","article-title":"Mapping Monthly Water Scarcity in Global Transboundary Basins at Country-Basin Mesh Based Spatial Resolution","volume":"8","author":"Dagmawi","year":"2018","journal-title":"Nat. Sci. Rep."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/s00382-011-1187-x","article-title":"Downscaled simulations of the ECHAM5, CCSM3 and HadCM3 global models for the eastern Mediterranean-Black Sea region: Evaluation of the reference period","volume":"39","author":"Bozkurt","year":"2013","journal-title":"Clim. Dyn."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1949","DOI":"10.1007\/s00382-013-1966-7","article-title":"Evaluation of the twenty-first century RCM simulations driven by multiple GCMs over the Eastern Mediterranean\u2013Black Sea region","volume":"42","author":"Onol","year":"2014","journal-title":"Clim. Dyn."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Yilmaz, Y., Sen, O.L., and Turuncoglu, U.U. (2019). Modeling the hydroclimatic effects of local land use and land cover changes on the water budget in the upper Euphrates & Tigris basin. J. Hydrol., under review.","DOI":"10.1016\/j.jhydrol.2019.06.074"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1245","DOI":"10.1016\/j.agrformet.2010.05.006","article-title":"The intense 2007\u20132009 drought in the Fertile Crescent: Impacts and associated atmospheric circulation","volume":"150","author":"Trigo","year":"2010","journal-title":"Agric. For. Meteorol."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"024012","DOI":"10.1088\/1748-9326\/6\/2\/024012","article-title":"Temporal changes in the Euphrates and Tigris discharges and teleconnections","volume":"6","author":"Sen","year":"2011","journal-title":"Environ. Res. Lett."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1002\/joc.3974","article-title":"Climate change impacts on snowmelt runoff for mountainous transboundary basins in eastern Turkey","volume":"35","author":"Yucel","year":"2015","journal-title":"Int. J. Climatol."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"77","DOI":"10.3354\/cr01410","article-title":"Has the climate been changing in Turkey? Regional climate change signals based on a comparative statistical analysis of two consecutive time periods, 1950\u20131980 and 1981\u20132010","volume":"70","author":"Batmaz","year":"2016","journal-title":"Clim. Res."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"3777","DOI":"10.5194\/hess-20-3777-2016","article-title":"Spatio-temporal trends in the hydroclimate of Turkey for the last decades based on two reanalysis datasets","volume":"20","author":"Gokmen","year":"2016","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1007\/s10584-008-9438-5","article-title":"21st century climate change in the Middle East","volume":"92","author":"Evans","year":"2009","journal-title":"Clim. Chang."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s10584-013-0935-9","article-title":"Assessment of CMIP5 global model simulations over the subset of CORDEX domains used in the Phase I CREMA","volume":"125","author":"Elguindi","year":"2014","journal-title":"Clim. Chang."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1007\/s10584-016-1665-6","article-title":"Strongly increasing heat extremes in the Middle East and North Africa (MENA) in the 21st century","volume":"137","author":"Lelieveld","year":"2016","journal-title":"Clim. Chang."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/j.jhydrol.2012.12.021","article-title":"Climate change impacts in the Euphrates\u2013Tigris Basin based on different model and scenario simulations","volume":"480","author":"Bozkurt","year":"2013","journal-title":"J. Hydrol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"4276","DOI":"10.1002\/joc.4285","article-title":"Projections of climate change in the Mediterranean Basin by using downscaled global climate model outputs","volume":"35","author":"Ceber","year":"2015","journal-title":"Int. J. Climatol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"87","DOI":"10.1016\/j.atmosres.2018.02.009","article-title":"Future projections of temperature and precipitation climatology for CORDEX-MENA domain using RegCM4.4","volume":"206","author":"Turp","year":"2018","journal-title":"Atmosp. Res."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"22","DOI":"10.31807\/tjwsm.297183","article-title":"Climate Change Projections for Turkey: Three Models and Two Scenarios","volume":"1","author":"Demircan","year":"2017","journal-title":"Turk. J. Water Sci. Manag."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.accre.2018.01.004","article-title":"Climate change projections for the Middle East-North Africa domain with COSMO-CLM at different spatial resolutions","volume":"9","author":"Bucchignani","year":"2018","journal-title":"Adv. Clim. Chang. Res."},{"key":"ref_25","first-page":"1288","article-title":"Seasonality of Precipitation in Turkey: Past, Present and Future Assessments","volume":"22","author":"Ezber","year":"2018","journal-title":"Sak. Univ. J. Sci."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1007\/s40641-016-0046-6","article-title":"Coordinated Experiments for Projections of Regional Climate Change","volume":"2","author":"Giorgi","year":"2016","journal-title":"Curr. Clim. Chang. Rep."},{"key":"ref_27","unstructured":"Armstrong, R.L., and Brun, E. (2010). Snow and Climate: Physical Processes, Surface Energy Exchange and Modeling, Cambridge University Press."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3637","DOI":"10.1002\/hyp.8090","article-title":"Investigation of the snow-cover dynamics in the Upper Euphrates Basin of Turkey using remotely sensed snow-cover products and hydrometeorological data","volume":"25","author":"Akyurek","year":"2011","journal-title":"Hydrol. Process."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"8547","DOI":"10.1175\/JCLI-D-13-00692.1","article-title":"A Review of Drought in the Middle East and Southwest Asia","volume":"29","author":"Barlow","year":"2016","journal-title":"J. Clim."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"131","DOI":"10.3354\/cr01268","article-title":"Projected river discharge in the Euphrates Tigris Basin from a hydrological discharge model forced with RCM and GCM outputs","volume":"62","author":"Bozkurt","year":"2015","journal-title":"Clim. Res."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"2789","DOI":"10.5194\/hess-15-2789-2011","article-title":"Climate change impacts on snow water availability in the Euphrates-Tigris basin","volume":"15","author":"Ozdogan","year":"2011","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Herrero, J., and Polo, M.J. (2016). Evaposublimation from the snow in the Mediterranean mountains of Sierra Nevada (Spain). Cryosphere.","DOI":"10.5194\/tc-2016-161"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Balsamo, G., Agust\u00ec-Parareda, A., Albergel, C., Arduini, G., Beljaars, A., Bidlot, J., Bousserez, N., Boussetta, S., Brown, A., and Buizza, R. (2018). Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote Sens., 10.","DOI":"10.3390\/rs10122038"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"875","DOI":"10.1038\/nclimate1908","article-title":"The role of satellite remote sensing in climate change studies","volume":"3","author":"Yang","year":"2013","journal-title":"Nat. Clim. Chang."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/j.accre.2015.09.007","article-title":"Earth observation big data for climate change research","volume":"6","author":"Guo","year":"2015","journal-title":"Adv. Clim. Chang. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1038\/s41586-018-0123-1","article-title":"Emerging trends in global freshwater availability","volume":"557","author":"Rodell","year":"2018","journal-title":"Nature"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"924","DOI":"10.1038\/s41558-018-0318-3","article-title":"Estimating snow-cover trends from space","volume":"8","author":"Bormann","year":"2018","journal-title":"Nat. Clim. Chang."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"4369","DOI":"10.1002\/joc.5674","article-title":"Global snow zone maps and trends in snow persistence 2001\u20132016","volume":"38","author":"Hammond","year":"2018","journal-title":"Int. J. Clim."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"W04531","DOI":"10.1029\/2011WR011453","article-title":"Accuracy of scaled GRACE terrestrial water storage estimates","volume":"48","author":"Landerer","year":"2012","journal-title":"Water Resour. Res."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"904","DOI":"10.1002\/wrcr.20078","article-title":"Groundwater depletion in the Middle East from GRACE with implications for transboundary water management in the Tigris-Euphrates-Western Iran region","volume":"49","author":"Voss","year":"2013","journal-title":"Water Resour. Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"4817","DOI":"10.5194\/hess-17-4817-2013","article-title":"GRACE water storage estimates for the Middle East and other regions with significant reservoir and lake storage","volume":"17","author":"Longuevergne","year":"2013","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"2679","DOI":"10.1002\/2013WR014633","article-title":"Estimating the human contribution to groundwater depletion in the Middle East, from GRACE data, land surface models, and well observations","volume":"50","author":"Joodaki","year":"2014","journal-title":"Water Resour. Res."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1007\/s10712-016-9403-1","article-title":"Large-Scale Total Water Storage and Water Flux Changes over the Arid and Semiarid Parts of the Middle East from GRACE and Reanalysis Products","volume":"38","author":"Forootan","year":"2017","journal-title":"Surv. Geophys."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"L18405","DOI":"10.1029\/2012GL052988","article-title":"Evaluating global trends (1988\u20132010) in harmonized multi-satellite surface soil moisture","volume":"39","author":"Dorigo","year":"2012","journal-title":"Geophys. Res. Lett."},{"key":"ref_45","first-page":"18018","article-title":"Global land moisture trends: Drier in dry and wetter in wet over land","volume":"5","author":"Feng","year":"2015","journal-title":"Nat. Sci. Rep."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"W07447","DOI":"10.1029\/2006WR005653","article-title":"Mountains of the world, water towers for humanity: Typology, mapping, and global significance","volume":"43","author":"Viviroli","year":"2007","journal-title":"Water Resour. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"187","DOI":"10.1016\/j.rse.2004.09.012","article-title":"Quantifying the uncertainty in passive microwave snow water equivalent observations","volume":"94","author":"Foster","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1002\/wat2.1140","article-title":"Estimating the spatial distribution of snow water equivalent in the world\u2019s mountains","volume":"3","author":"Dozier","year":"2016","journal-title":"Wires Water"},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"247","DOI":"10.5194\/tc-12-247-2018","article-title":"Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites","volume":"12","author":"Aalstad","year":"2018","journal-title":"Cryosphere"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"2337","DOI":"10.5194\/hess-19-2337-2015","article-title":"A snow cover climatology for the Pyrenees from MODIS snow products","volume":"19","author":"Gascoin","year":"2015","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1016\/j.rse.2005.03.013","article-title":"Using MODIS snow cover maps in modeling snowmelt runoff process in the eastern part of Turkey","volume":"97","author":"Tekeli","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1002\/hyp.6114","article-title":"Accuracy assessment of MODIS daily snow albedo retrievals with in situ measurements in Karasu basin, Turkey","volume":"20","author":"Tekeli","year":"2006","journal-title":"Hydrol. Process."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.5194\/hess-11-1353-2007","article-title":"Commentary on comparison of MODIS snow cover and albedo products with ground observations over the mountainous terrain of Turkey","volume":"11","author":"Sorman","year":"2007","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1684","DOI":"10.1080\/02626667.2012.729132","article-title":"Evaluating the utility of the EUMETSAT HSAF snow recognition product over mountainous areas of eastern Turkey","volume":"57","author":"Surer","year":"2012","journal-title":"Hydrol. Sci. J."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"3727","DOI":"10.1080\/01431161.2010.483484","article-title":"Evaluating the utility of the ANSA blended snow cover product in the mountains of eastern Turkey","volume":"31","author":"Akyurek","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"3415","DOI":"10.1007\/s11269-012-0079-0","article-title":"The Value of Snow Depletion Forecasting Methods Towards Operational Snowmelt Runoff Estimation Using MODIS and Numerical Weather Prediction Data","volume":"26","author":"Sensoy","year":"2012","journal-title":"Water Resour. Manag."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.jhydrol.2011.09.031","article-title":"Catchment flow estimation using Artificial Neural Networks in the mountainous Euphrates Basin","volume":"410","author":"Yilmaz","year":"2011","journal-title":"J. Hydrol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1016\/j.jhydrol.2012.05.067","article-title":"Comment on \u201cCatchment flow estimation using Artificial Neural Networks in the mountainous Euphrates basin\u201d by A.G. Yilmaz, M.A. Imteaz, G. Jenkins (J. Hydrol. 410 (2011) 134\u2013140)","volume":"454\u2013455","author":"Sensoy","year":"2012","journal-title":"J. Hydrol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1016\/j.jhydrol.2016.10.037","article-title":"Improving daily streamflow forecasts in mountainous Upper Euphrates basin by multi-layer perceptron model with satellite snow products","volume":"543","author":"Uysal","year":"2016","journal-title":"J. Hydrol."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"82","DOI":"10.2478\/johh-2018-0025","article-title":"Probabilistic snow cover and ensemble streamflow estimations in the Upper Euphrates Basin","volume":"67","author":"Sorman","year":"2019","journal-title":"J. Hydrol. Hydromech."},{"key":"ref_61","unstructured":"UNEP-DHI, and UNEP (2016). Transboundary River Basins: Status and Trends, United Nations Environment Programme (UNEP). TWAP."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Moerlins, J.E., Khankhasayev, M.K., Leitman, S.F., and Makhmudov, E.J. (2008). Science for Peace: Monitoring Water Quality and Quantity in the Kura\u2014Araks Basin of the South Caucasus. Transboundary Water Resources: A Foundation for Regional Stability in Central Asia, Springer.","DOI":"10.1007\/978-1-4020-6736-5"},{"key":"ref_63","unstructured":"Kibaroglu, A., Scheumann, W., and Kramer, A. (2011). Coruh River Basin: Hydropower Development and Transboundary Cooperation. Turkey\u2019s Water Policy: National Frameworks and International Cooperation, Springer."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"1489","DOI":"10.1007\/s00585-997-1489-9","article-title":"The greatest soda-water lake in the world and how it is influenced by climatic change","volume":"15","author":"Kadioglu","year":"1997","journal-title":"Ann. Geophys."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.quascirev.2014.09.026","article-title":"Lake Van deep drilling project PALEOVAN","volume":"104","author":"Litt","year":"2014","journal-title":"Quat. Sci. Rev."},{"key":"ref_66","first-page":"313","article-title":"Porewater salinity reveals past lake-level changes in Lake Van, the Earth\u2019s largest soda lake","volume":"7","author":"Tomonaga","year":"2010","journal-title":"Nature"},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"2297","DOI":"10.5194\/hess-17-2297-2013","article-title":"Stochastic modeling of Lake Van water level time series with jumps and multiple trends","volume":"17","author":"Aksoy","year":"2013","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_68","unstructured":"Kayhan, M., and Alan, I. (2018, December 27). Spatial Precipitation Analysis of Turkey 1971\u20132010. In Turkish State Meteorological Service e-Library, (In Turkish)."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"1633","DOI":"10.5194\/hess-11-1633-2007","article-title":"Updated world map of the K\u00f6ppen-Geiger climate classification","volume":"11","author":"Peel","year":"2007","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1002\/joc.910","article-title":"Redefining the climate zones of Turkey using cluster analysis","volume":"23","author":"Unal","year":"2003","journal-title":"Int. J. Climatol."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"3924","DOI":"10.1175\/JCLI4223.1","article-title":"Climate and Vegetation in the Middle East: Interannual Variability and Drought Feedbacks","volume":"20","author":"Zaitchik","year":"2007","journal-title":"J. Clim."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1007\/s10980-018-0743-8","article-title":"Mapping ecoregions under climate change: A case study from the biological \u2019crossroads\u2019 of three continents, Turkey","volume":"34","author":"Erguner","year":"2018","journal-title":"Landsc. Ecol."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Swenson, S.C. (2018, August 01). GRACE Monthly Land Water Mass Grids NetCDF Release 5.0. In NASA PO.DAAC, CA, USA. Available online: http:\/\/dx.doi.org\/10.5067\/TELND-NC005.","DOI":"10.5067\/TELND-NC005"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"L08402","DOI":"10.1029\/2005GL025285","article-title":"Post-processing removal of correlated errors in GRACE data","volume":"33","author":"Swenson","year":"2006","journal-title":"Geophys. Res. Lett."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"S25","DOI":"10.1016\/j.rse.2007.07.029","article-title":"Interpretation of snow properties from imaging spectrometry","volume":"113","author":"Dozier","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_76","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1016\/j.rse.2009.01.001","article-title":"Retrieval of subpixel snow covered area, grain size, and albedo from MODIS","volume":"113","author":"Painter","year":"2009","journal-title":"Remote Sens. Environ."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Riggs, G.A., Hall, D.K., and Rom\u00e1n, M.O. (2017). Overview of NASA\u2019s MODIS and Visible Infrared Imaging Radiometer Suite (VIIRS) snow-cover Earth System Data Records. Earth Syst. Sci. Data.","DOI":"10.5194\/essd-9-765-2017"},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Tang, Z., Wang, X., Wang, J., Wang, X., Li, H., and Jiang, Z. (2017). Spatiotemporal Variation of Snow Cover in Tianshan Mountains, Central Asia, Based on Cloud-Free MODIS Fractional Snow Cover Product, 2001\u20132015. Remote Sens., 9.","DOI":"10.3390\/rs9101045"},{"key":"ref_79","unstructured":"Riggs, G.A., Hall, D.K., and Rom\u00e1n, M.O. (2018, December 20). MODIS Snow Products Collection 6 User Guide, Version 1.0, Available online: https:\/\/modis-snow-ice.gsfc.nasa.gov\/?c=userguides."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Mason, T., Dumont, M., Dalla Mura, M., Sirguey, P., Gascoin, S., Dedieu, J.P., and Chanussot, J. (2018). An Assessment of Existing Methodologies to Retrieve Snow Cover Fraction from MODIS Data. Remote Sens., 10.","DOI":"10.3390\/rs10040619"},{"key":"ref_81","unstructured":"Hall, D.K., and Riggs, G.A. (2016). MODIS\/Terra Snow Cover 8-Day L3 Global 0.05Deg CMG, NASA National Snow and Ice Data Center, Distributed Active Archive Center. version 6; MOD10C2."},{"key":"ref_82","unstructured":"Hall, D.K., and Riggs, G.A. (2016). MODIS\/Aqua Snow Cover 8-Day L3 Global 0.05Deg CMG, NASA National Snow and Ice Data Center, Distributed Active Archive Center. version 6; MYD10C2."},{"key":"ref_83","unstructured":"Hall, D.K., and Riggs, G.A. (2015). MODIS\/Terra Snow Cover Monthly L3 Global 0.05Deg CMG, NASA National Snow and Ice Data Center, Distributed Active Archive Center. version 6; MOD10CM."},{"key":"ref_84","unstructured":"Hall, D.K., and Riggs, G.A. (2016). MODIS\/Aqua Snow Cover Monthly L3 Global 0.05Deg CMG, NASA National Snow and Ice Data Center, Distributed Active Archive Center. version 6; MYD10CM."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"3875","DOI":"10.1002\/hyp.9887","article-title":"Probabilistic SWE reanalysis as a generalization of deterministic SWE reconstruction techniques","volume":"28","author":"Girotto","year":"2014","journal-title":"Hydrol. Process."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"39","DOI":"10.3189\/S0260305500200736","article-title":"Nimbus-7 SMMR Derived Global Snow Cover Parameters","volume":"9","author":"Chang","year":"1987","journal-title":"Ann. Glaciol."},{"key":"ref_87","unstructured":"Tedesco, M., Kelly, R., Foster, J.L., and Chang, A.T. (2004). AMSR-E\/Aqua Monthly L3 Global Snow Water Equivalent EASE-Grids, NASA National Snow and Ice Data Center, Distributed Active Archive Center. version 2."},{"key":"ref_88","unstructured":"EORC (2018, August 01). AMSR2 Monthly L3 Snow Depth (0.25 deg). In JAXA Data Users\u2019 Manual for the Advanced Microwave Scanning Radiometer 2 (AMSR2) Onboard the Global Change Observation Mission 1st\u2014Water SHIZUKU (GCOM-W1)\u20144th Edition. Available online: https:\/\/gportal.jaxa.jp\/gpr."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"2737","DOI":"10.1002\/hyp.7093","article-title":"Early findings in comparison of AMSR-E\/Aqua L3 global snow water equivalent EASE-grids data with in situ observations for Eastern Turkey","volume":"22","author":"Tekeli","year":"2008","journal-title":"Hydrol. Process."},{"key":"ref_90","unstructured":"C3S (2018, September 05). ERA5: Fifth Generation of ECMWF Atmospheric Reanalyses of the Global Climate. In Copernicus Climate Change Service Climate Data Store (CDS). Available online: https:\/\/confluence.ecmwf.int\/display\/CKB\/ERA5+data+documentation."},{"key":"ref_91","unstructured":"ECMWF (2016, February 06). IFS Documentation\u2014Cy41r2. Available online: https:\/\/www.ecmwf.int\/node\/16647."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1029\/EO081i048p00583","article-title":"Shuttle radar topography mission produces a wealth of data","volume":"81","author":"Farr","year":"2000","journal-title":"Eos Trans. Am. Geophys. Union"},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"Rg2004","DOI":"10.1029\/2005RG000183","article-title":"The Shuttle radar topography mission","volume":"45","author":"Farr","year":"2007","journal-title":"Rev. Geophys."},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1016\/S0022-1694(01)00594-7","article-title":"Power of the Mann\u2013Kendall and Spearman\u2019s rho tests for detecting monotonic trends in hydrological series","volume":"259","author":"Yue","year":"2002","journal-title":"J. Hydrol."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"5927","DOI":"10.1175\/2010JCLI3746.1","article-title":"Significance Tests in Climate Science","volume":"23","author":"Ambaum","year":"2010","journal-title":"J. Clim."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1111\/gwat.12611","article-title":"Retrieving Groundwater Depletion and Drought in the Tigris-Euphrates Basin between 2003 and 2015","volume":"56","author":"Chao","year":"2017","journal-title":"Groundw."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"1389","DOI":"10.1002\/2013GL058632","article-title":"Ensemble prediction and intercomparison analysis of GRACE time-variable gravity field models","volume":"41","author":"Sakumura","year":"2014","journal-title":"Geophys. Res. Lett."},{"key":"ref_98","doi-asserted-by":"crossref","unstructured":"L\u00f3pez-Moreno, J.I., Gascoin, S., Herrero, J., Sproles, E.A., Pons, M., Alonso-Gonz\u00e1lez, E., Hanich, L., Boudhar, A., Musselman, K.N., and Molotch, N.P. (2017). Different sensitivities of snowpacks to warming in Mediterranean climate mountain areas. Environ. Res. Lett.","DOI":"10.1088\/1748-9326\/aa70cb"},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1038\/nclimate3225","article-title":"Slower snowmelt in a warmer world","volume":"7","author":"Musselman","year":"2017","journal-title":"Nat. Clim. Chang."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"2349","DOI":"10.1002\/joc.3843","article-title":"Snow cover trend analysis using Interactive Multisensor Snow and Ice Mapping System data over Turkey","volume":"34","author":"Sonmez","year":"2014","journal-title":"Int. J. Climatol."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"397","DOI":"10.1016\/j.earscirev.2018.06.018","article-title":"Permafrost conditions in the Mediterranean region since the Last Glaciation","volume":"185","author":"Oliva","year":"2018","journal-title":"Earth Sci. Rev."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3178\/hrl.2.1","article-title":"First super-high-resolution model projection that the ancient Fertile Crescent will disappear in this century","volume":"2","author":"Kitoh","year":"2008","journal-title":"Hydrol. Res. Lett."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"W06506","DOI":"10.1029\/2010WR010269","article-title":"Impact of climate change on the water resources of the eastern Mediterranean and Middle East region: Modeled 21st century changes and implications","volume":"47","author":"Chenoweth","year":"2011","journal-title":"Water Resour. Res."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"1076","DOI":"10.1175\/JHM531.1","article-title":"Impact of Climate Change on River Discharge Projected by Multimodel Ensemble","volume":"7","author":"Nohara","year":"2006","journal-title":"J. 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