Snow Cover Variability in the Cold Period of the Year in Iran Based on MODIS Measurements

Document Type : Original Article

Authors

1 Associate Prof., Faculty of Earth Sciences, Shahid Beheshti University

2 M.Sc. of Applied Climatology, Faculty of Earth Sciences, Shahid Beheshti University

Abstract

The study of snow cover as one of the most important sources of freshwater supply is of great importance. Due to the mountainous conditions of Iran, it is not possible to measure the area of snow cover. Accordingly, the use of satellite imagery to identify snow storage is of great importance. In this study, the spatio-temporal changes of Iran snow cover for the cold period of the year were evaluated using the snow cover product of MODIS Terra satellite during the period of 2003-2018. The trend and slope of the snow cover were investigated using Man-Kendall non-parametric tests and the Sen's slope estimator and change-point of snow cover using Buishand test. The results showed that in January, the highest amount of snow cover is 16.6 percent, and the lowest amount of snow cover was computed in October, which is less than 1 percent. The main center of Iran's snow cover in the cold period of the year in the highlands is above 4000 meters. The snow cover trend is negative in all studied months and the maximum decrease in snow cover was calculated in January and the change-point was calculated in 2008 January, which is statistically significant at the level of 0.05. The significant decrease in snow cover during the cold period of the year which is a major threat to Iran's water resources.
 

Keywords

References

Ahmadi, M., Chatrchi, P., Dadashi Roudbari, A.A., Precipitation trend modeling in the western of Asia affected by climate changes. Earth Sciences Research 9 (35), 68-80.
Andreadis, K. M., Storck, P., & Lettenmaier, D. P. (2009). Modeling snow accumulation and ablation processes in forested environ-ments. Water resources research, 45(5).
 
Alizadeh-Choobari, O., Najafi, M.S., 2017. Trends and changes in air temperature and precipitation over different regions of Iran. Journal of the Earth and Space Physics 43(3), 569-584.
AziziMoghadam, Reza, 2016. Evaluation of Snow Cover Changes Trend Using GIS and RS and its impact on Dez basin water resources, MSc. Thesis, Isfahan University of Technology, Isfahan, Iran.
Barnett, T. P., Adam, J. C., & Lettenmaier, D. P. (2005). Potential impacts of a warming climate on water availability in snow-dominated regions. Nature, 438(7066), 303-309.
Brown, R. D., & Robinson, D. A. (2011). Northern Hemisphere spring snow cover variability and change over 1922-2010 including an assessment of uncertainty. The Cryosphere, 5(1), 219.
Buishand, T. A. (1982). Some methods for testing the homogeneity of rainfall records. Journal of hydrology, 58(1-2), 11-27.
Chang, A. T. C., Foster, J. L., & Hall, D. K. (1987). Nimbus-7 SMMR derived global snow cover parameters. Annals of glaciology, 9, 39-44.
Che, T., Li, X., Jin, R., Armstrong, R., & Zhang, T. (2008). Snow depth derived from passive microwave remote-sensing data in China. Annals of Glaciology, 49, 145-154.
Dadashi Roudbari, A., Fallah Ghalheri, G., Karami, M., Baaghide, M., 2016. Analysis of Precipitation Variations of Haraz Watershed Using by Statistical Methods and Spectrum Analysis Technique. Hydrogeomorphology 3(7), 59-86.
Dadashi Roudbari, A.A., Ahmadi, M., 2019. Spatio-temporal variation and change point of Iran Aerosol absorption index (AAI) based on the output of TOMS and OMI sensors. Journal of the Earth and Space Physics 45(3), 609-623.
Dadashi Roudbari, A.A., Ahmadi, M., Shakiba, A., 2020. Evaluation Seasonal Trend of Iran Aerosol Index (AI) Based on Nimbus 7, Earth Probe and Aura Satellite Data. Physical Geography Research Quarterly 52(1), 51-64.
Eythorsson, D., Gardarsson, S. M., Ahmad, S. K., Hossain, F., & Nijssen, B. (2019). Arctic climate and snow cover trends–Comparing Global Circulation Models with remote sensing observations. International Journal of Applied Earth Observation and Geoinformation, 80, 71-81.
Fayad, A., Gascoin, S., Faour, G., López-Moreno, J. I., Drapeau, L., Le Page, M., & Escadafal, R. (2017). Snow hydrology in Mediterranean mountain regions: A review. Journal of Hydrology, 551, 374-396.
Hall, D. K., & Riggs, G. A. (2007). Accuracy assessment of the MODIS snow products. Hydrological Processes: An International Journal, 21(12), 1534-1547.
Hall, D. K., Foster, J. L., Salomonson, V. V., Klein, A. G., & Chien, J. Y. L. (2001). Development of a technique to assess snow-cover mapping errors from space. IEEE Transactions on Geoscience and Remote Sensing, 39(2), 432-438.
Hall, D. K., Riggs, G. A., Salomonson, V. V., DiGirolamo, N. E., & Bayr, K. J. (2002). MODIS snow-cover products. Remote sensing of Environment, 83(1-2), 181-194.
Hall, D. K., Riggs, G. A., Salomonson, V. V., DiGirolamo, N. E., & Bayr, K. J. (2002). MODIS snow-cover products. Remote sensing of Environment, 83(1-2), 181-194.
Kendall, M. G. (1955). Rank correlation methods.
Keikhosrvai Kiany, M.S., Masoudian, S.A., 2017. Trend Analysis of Snow–covered Days in Iran based on Remote Sensing Data. Geography and Environmental Planning 28(1), 49-60.
Keikhosrvai Kiany, M.S., Masoudian, S.A., 2016. Exploring the Relation of Snow-Covered Days with Elevation, Slope and Aspect in Iran. Physical Geography Research Quarterly 48(1), 1-14.
Khoshkhoo, Y., 2016. Simulation of the snow depth using Single Layer Snow Model (SLSM) at Saghez station. Iranian Journal of Soil and Water Research 47(3), 517-527.
Li, Q., Yang, T., Zhou, H., & Li, L. (2019). Patterns in snow depth maximum and snow cover days during 1961–2015 period in the Tianshan Mountains, Central Asia. Atmospheric Research, 228, 14-22.
Malmros, J. K., Mernild, S. H., Wilson, R., Tagesson, T., & Fensholt, R. (2018). Snow cover and snow albedo changes in the central Andes of Chile and Argentina from daily MODIS observations (2000–2016). Remote sensing of environment, 209, 240-252.
Mann, H. B. (1945). Nonparametric tests against trend. Econometrica: Journal of the Econometric Society, 245-259.
Marchane, A., Jarlan, L., Hanich, L., Boudhar, A., Gascoin, S., Tavernier, A., ... & Berjamy, B. (2015). Assessment of daily MODIS snow cover products to monitor snow cover dynamics over the Moroccan Atlas mountain range. Remote Sensing of Environment, 160, 72-86.
Nicolet, G., Eckert, N., Morin, S., & Blanchet, J. (2018). Assessing climate change impact on the spatial dependence of extreme snow depth maxima in the French Alps. Water Resources Research, 54(10), 7820-7840.
Parajka, J., & Blöschl, G. (2012). MODIS-based snow cover products, validation, and hydrologic applications. Multiscale Hydrologic Remote Sensing: Perspectives and Applications, edited by: Chang, N.-B. and Hong, Y.
Riggs, G. A., Hall, D. K., & Román, M. O. (2015). MODIS snow products collection 6 user guide. National Snow and Ice Data Center: Boulder, CO, USA, 66.
Riggs, G. A., Hall, D. K., & Salomonson, V. V. (2006). MODIS snow products user guide to collection 5. Digital Media, 80(6), 1-80.
Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association, 63(324), 1379-1389.
Simpson, J. J., Stitt, J. R., & Sienko, M. (1998). Improved estimates of the areal extent of snow cover from AVHRR data. Journal of Hydrology, 204(1-4), 1-23.
Stocker, T. F., Qin, D., Plattner, G. K., Tignor, M. M., Allen, S. K., Boschung, J., ... & Midgley, P. M. (2014). Climate change 2013: the physical science basis. Contribution of working group I to the fifth assessment report of IPCC the intergovernmental panel on climate change.
Tang, Z., Wang, X., Wang, J., Wang, X., Li, H., & Jiang, Z. (2017). Spatiotemporal variation of snow cover in Tianshan Mountains, Central Asia, based on cloud-free MODIS fractional snow cover product, 2001–2015. Remote Sensing, 9(10), 1045.
Theil, H. (1992). A rank-invariant method of linear and polynomial regression analysis. In Henri Theil’s Contributions to Economics and Econometrics (pp. 345-381). Springer Netherlands.
Xiao, L., Che, T., Chen, L., Xie, H., & Dai, L. (2017). Quantifying snow albedo radiative forcing and its feedback during 2003–2016. Remote Sensing, 9(9), 883.
Yang, J., Jiang, L., Ménard, C. B., Luojus, K., Lemmetyinen, J., & Pulliainen, J. (2015). Evaluation of snow products over the Tibetan Plateau. Hydrological Processes, 29(15), 3247-3260.
Yang, Y., Wu, X. J., Liu, S. W., Xiao, C. D., & Wang, X. (2019). Valuating service loss of snow cover in Irtysh River Basin. Advances in Climate Change Research, 10(2), 109-114.
Yu, J., Zhang, G., Yao, T., Xie, H., Zhang, H., Ke, C., & Yao, R. (2015). Developing daily cloud-free snow composite products from MODIS Terra–Aqua and IMS for the Tibetan plateau. IEEE Transactions on Geoscience and Remote Sensing, 54(4), 2171-2180.
Zhang, F., Zhang, H., Hagen, S. C., Ye, M., Wang, D., Gui, D., ... & Liu, J. (2015). Snow cover and runoff modelling in a high mountain catchment with scarce data: effects of temperature and precipitation parameters. Hydrological processes, 29(1), 52-65.
Zhang, Y., & Ma, N. (2018). Spatiotemporal variability of snow cover and snow water equivalent in the last three decades over Eurasia. Journal of Hydrology, 559, 238-251.
Zhou, H., Aizen, E., & Aizen, V. (2013). Deriving long term snow cover extent dataset from AVHRR and MODIS data: Central Asia case study. Remote Sensing of Environment, 136, 146-162.
 
 

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