Abstract
Accurate predictions of snow characteristics have an essential function in water resources management, especially in the high mountainous areas. Remote sensing presents a possibility for snow characteristics observation, such as snow water equivalent (SWE), in the large basins. Many studies are focused on the assessment of remote sensing product, especially global SWE data. However, regional effects such as topography, land cover, and meteorological conditions may lead to uncertainty in the estimation of the snow characteristics. In this research, the Advanced Microwave Scanning Radiometer-Eos (AMSR-E) data and the GLDAS model data (2006–2011) were used to estimate SWE in the northwest basins of Iran. The evaluation was performed by the root mean square error (RMSE) and percent bias (PBIAS) criteria. The results indicated a significant correlation (at 1% level) between the observed and estimated SWE data. According to the results, the estimation accuracy decreased with increasing altitude, land slope, and the normalized difference vegetation index (NDVI). The best estimation was detected at altitudes between 1350 and 1600 m. Generally, the SWE products of the AMSR-E and GLDAS data on the north-facing slope shows good accuracy in the SWE estimation compared to the other aspects.
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References
Adelzadeh A (2015) Diagnostic of the temperature in Northwest Iran and its relationship with geopotential height. Appl Climatol 2(2):17–32
Asakereh H, Tarkarani F, Soltani S (2013) On tempo-spatial characters of extreme daily precipitation of northwest of Iran. Iran-Water Resour Res 8(3):39–53
Baltes HP (1976) I on the validity of Kirchhoff'S law of heat radiation for a body in a nonequilibrium environment. Prog Opt 13:1–25. https://doi.org/10.1016/S0079-6638(08)70017-9
Bewick V, Cheek L, Ball J (2003) Statistics review 7: correlation and regression. Crit Care 7(6):451–459. https://doi.org/10.1186/cc2401
Bhandari AK, Kumar A, Singh GK (2012) Feature extraction using normalized difference vegetation index (NDVI): a case study of Jabalpur City. Procedia Technol 6:612–621. https://doi.org/10.1016/j.protcy.2012.10.074
Byun K, Choi M (2014) Uncertainty of snow water equivalent retrieved from AMSR-E brightness temperature in Northeast Asia. Hydrol Process 28(7):3173–3184. https://doi.org/10.1002/hyp.9846
Chang ATC, Foster JL, Hall DK (1987) Nimbus-7 derived global snow cover parameters. Ann Glaciol 9(1):39–44
Chang ATC, Foster JL, Hall DK, Goodison BE, Walker AE, Metcalfe JR (1997) Snow parameters derived from microwave measurements during the BOREAS winter field experiment. J Geophys Res 102(24):29663–29671. https://doi.org/10.1029/96JD03327
Clark GE, Ahn KH, Palmer RN (2017) Assessing a regression-based regionalization approach to ungauged sites with various hydrologic models in a forested catchment in the northeastern United States. J Hydrol Eng 22(12):05017027-1–05017027-14. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001582
Cohen J (1994) Snow cover and climate. Weather 49:150–156. https://doi.org/10.1002/j.1477-8696.1994.tb05997.x
Cohen J, Entekhabi D (1999) Eurasian snow cover variability and northern hemisphere climate predictability. Geophys Res Lett 26(3):345–348. https://doi.org/10.1029/1998GL900321
Davis RE, McKenzie JC, Jordan R (2006) Distributed snow process modeling: an image processing approach. Hydrol Process 9(8):865–875. https://doi.org/10.1002/hyp.3360090804
Derksen C (2008) The contribution of AMSR-E 18.7 and 10.7 GHz measurements to improved boreal forest snow water equivalent retrievals. Remote Sens Environ 112(5):2701–2710. https://doi.org/10.1016/j.rse.2008.01.001
Dong J, Walker JP, Houser PR (2005) Factors affecting remotely sensed snow water equivalent uncertainty. Remote Sens Environ 97(1):68–82. https://doi.org/10.1016/j.rse.2005.04.010
Fang H, Beaudoing H, Rodell M, Tengl W, Vollmer B (2009) Global land data assimilation (GLDAS) products, services and application from Nasa hydrology data and information services center (HDISC). ASPRS 2009 Annual Conference 8–13 March. Baltimore, Maryland, United States, pp 1–9
Fassnacht SR, Dressler KA, Bales RC (2003) Snow water equivalent interpolation for the Colorado River basin from snow telemetry (SNOTEL) data. Water Resour Res 39:1208. https://doi.org/10.1029/2002WR001512
Foster J, Sun C, Walker J, Kelly R, Chang A, Dong J (2005) Quantifying the uncertainty in passive microwave snow water equivalent observations. Remote Sens Environ 94:187–203. https://doi.org/10.1016/j.rse.2004.09.012
Frei A, Robinson DA (1999) Northern hemisphere snow extent: regional variability 1972–1994. Int J Climatol 19:1535–1560
Gao Y, Xie H, Lu N, Yao T, Liang T (2010) Toward advanced daily cloud-free snow cover and snow water equivalent products from Terra–aqua MODIS and aqua AMSR-E measurements. J Hydrol 385(1-4):23–35. https://doi.org/10.1016/j.jhydrol.2010.01.022
Jiang LM, Wang P, Zhang LX, Yang H, Yang JT (2014) Improvement of snow depth retrieval for FY3B-MWRI in China. Sci China Earth Sci 57(6):1278–1292. https://doi.org/10.1007/s11430-013-4798-8
Johnson RH, Young GS, Toth JJ, Zehr RM (1984) Mesoscale weather effects of variable snow cover over Northeast Colorado. Mon Weather Rev 112:1141–1152. https://doi.org/10.1175/1520-0493(1984)112<1141:MWEOVS>2.0.CO;2
Kawanishi T, Sezai T, Ito Y, Imaoka K, Takeshima T, Ishido Y, Shibata A, Miura M, Inahata H, Spencer RW (2003) The advanced microwave scanning radiometer for the earth observing system (AMSR-E), NASDA’s contribution to the EOS for global energy and water cycle studies. IEEE Trans Geosci Remote Sens 41(2):184–194. https://doi.org/10.1109/TGRS.2002.808331
Kelly RE, Chang AT, Tsang L, Foster JL (2003) A prototype AMSR-E global snow area and snow depth algorithm. IEEE Trans Geosci Remote Sens 41(2):230–242. https://doi.org/10.1109/TGRS.2003.809118
Larue F, Royer A, De Sève D, Langlois A, Roy A, Brucker L (2017) Validation of GlobSnow-2 snow water equivalent over Eastern Canada. Remote Sens Environ 194:264–277. https://doi.org/10.1016/j.rse.2017.03.027
Li D, Dur M, Margulis SA (2012) Potential for hydrologic characterization of deep mountain snowpack via passive microwave remote sensing in the Kern River basin, Sierra Nevada, USA. Remote Sens Environ 125(4):34–48. https://doi.org/10.1016/j.rse.2012.06.027
Lobl E, Spencer WR, Shibata A, Imaoka K, Sasaki M, Kachi M (2002) Global climate monitoring with the advanced microwave scanning radiometer (AMSR and AMSR-E). SPIE 3rd Int’l Asia-Pacific environmental remote sensing symposium, 23 October. Hangzhou, China. https://doi.org/10.1117/12.466518
Meromy L, Molotch NP, Link TE, Fassnacht SR, Rice R (2013) Subgrid variability of snow water equivalent at operational snow stations in the western USA. Hydrol Process 27:2383–2400. https://doi.org/10.1002/hyp.9355
Mirabassi R, Dinpazhooh Y (2013) Trend analysis of precipitation of NW of Iran over the past half of the century. J Irrig Sci Eng 35(4):59–73
Mizukami N, Perica S (2011) Towards improved snow water equivalent retrieval algorithms for satellite passive microwave data over the mountainous basins of western USA. Hydrol Process 26(13):1991–2002. https://doi.org/10.1002/hyp.8333
Mizukami N, Perica S, Hatch D (2011) Regional approach for mapping climatological snow water equivalent over the mountainous regions of the western United States. J Hydrol 400(1-2):72–82. https://doi.org/10.1016/j.jhydrol.2011.01.019
Molotch N, Fassnacht S, Bales R, Helfrich SR (2004) Estimating the distribution of snow water equivalent and snow extent beneath cloud cover in the Salt–Verde River basin, Arizona. Hydrol Process 18(9):1595–1611. https://doi.org/10.1002/hyp.1408
Moser CL, Tootle GA, Oubeidillah AA, Lakshmi V (2011) A comparison of SNOTEL and AMSR-E snow water equivalent data sets in western US watersheds. Int J Remote Sens 32(21):6611–6629. https://doi.org/10.1080/01431161.2010.512936
Nouri M, Mehdi H, Mohammad B (2017) Assessing trends of aridity index changes over 1966-2100 period in the Northwest of Iran. J Watershed Eng Management 8(4):439–453. https://doi.org/10.22092/ijwmse.2016.107187
Pulvirenti L, Pierdicca N, Marzano FS (2011) Prediction of the errors induced by topography in satellite microwave radiometric observations. IEEE Trans Geosci Remote Sens 49(9):3180–3188. https://doi.org/10.1109/TGRS.2010.2096514
Rodell M, Houser PR, Jambor U, Gottschalck J, Mitchell K, Meng CJ, Arsenault K, Cosgrove B, Radakovich J, Bosilovich M, Entin JK, Walker JP, Lohmann D, Toll D (2004) The global land data assimilation system. AMS 85(3):381–394. https://doi.org/10.1175/BAMS-85-3-381
Tedesco M, Narvekar PS (2010) Assessment of the NASA AMSR-E SWE product. IEEE J Sel Topics Appl Earth Observ Remote Sens 3(1):141–159. https://doi.org/10.1109/JSTARS.2010.2040462
Tekeli AE (2008) Early findings in comparison of AMSR-E/Aqua L3 global snow water equivalent EASE-grids data with in situ observations for Eastern Turkey. Hydrol Process 22:2737–2747. https://doi.org/10.1002/hyp.7093
Tekeli AE, Akyurek ZA, Sormanc AA, Sensoyc A, Sorman AU (2005) Using MODIS snow cover maps in modeling snowmelt runoff process in the eastern part of Turkey. Remote Sens Environ 97:216–230. https://doi.org/10.1016/j.rse.2005.03.013
Tong J, Velicogna I (2010) A comparison of AMSR-E/Aqua snow products with in situ observations and MODIS snow cover products in the Mackenzie River Basin, Canada. Remote Sens 2:2313–2322. https://doi.org/10.3189/S0260305500009447
Tong J, Dery SJ, Jackson PL, Derksen C (2014) Testing snow water equivalent retrieval algorithms for passive microwave remote sensing in an alpine watershed of western Canada. Can J Remote Sens 36:74–86. https://doi.org/10.5589/m10-009
Vuyovich CM, Jacobs JM, Daly SF (2014) Comparison of passive microwave and modeled estimates of total watershed SWE in the continental United States. Water Resour Res 50:9088–9102. https://doi.org/10.1002/2013WR014734
Walker A, Goodison B (1993) Discrimination of a wet snow cover using passive microwave satellite data. Ann Glaciol 17:307–311. https://doi.org/10.3189/S026030550001301X
Yang J, Jiang L, Ménard CB, Luojus K, Lemmetyinen J, Pulliainen J (2015) Evaluation of snow products over the Tibetan Plateau. Hydrol Process 29:3247–3260. https://doi.org/10.1002/hyp.10427
Yasunari T, Kitoh A, Tokioka T (1990) Effect of Eurasian snow cover on summer climate of the northern hemisphere: a GCM study. Ann Glaciol 14:364–364. https://doi.org/10.3189/S0260305500009447
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The authors would like to thank the National Snow and Ice Data Center (NSIDC) for the AMSR-E data.
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Ansari, H., Marofi, S. & Mohamadi, M. Topography and Land Cover Effects on Snow Water Equivalent Estimation Using AMSR-E and GLDAS Data. Water Resour Manage 33, 1699–1715 (2019). https://doi.org/10.1007/s11269-019-2200-0
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DOI: https://doi.org/10.1007/s11269-019-2200-0