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Information Journal Paper

Title

The Effect of Low-level Clouds Type on Runoff Simulation Accuracy Using SWAT model

Pages

  47-62

Abstract

 Introduction: Patterns of spatial and temporal rainfall impact on runoff and outlet hydrograph (Cordery, 1993; James, 1994). Results of different studies have clarified that simulation by using diverse rainfall data could increase the reliance of results. These were much more sensible in which areas encounter with data scarcity (Mello et al., 2008; Bekiaris et al., 2008). Rainfall properties in sensitive analyses are influenced by atmospheric synoptic condition, topography, local condition, and type, speed, and direction of clouds in the sky of basin. Not many studies have done regarding evaluation of clouds and their roles in hydrological model accuracy. The evaluation of Cloud type effects directly and indirectly, spatial and temporal precipitation pattern changes, temperature’ s features, moisture, radiation, and snow ablation influence on runoff patterns. This is an important step towards hydrological model accuracy recognition. In this study, different precipitations due to low-level Cloud types effects on accuracy of water and soil model (SWAT) are evaluated in Garin dam catchment of Nahavand, Hamedan province. . . .

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    APA: Copy

    NOURI, HAMID, ILDOROMI, ALIREZA, & Salehi, Sabah. (2018). The Effect of Low-level Clouds Type on Runoff Simulation Accuracy Using SWAT model. DESERT ECOSYSTEM ENGINEERING JOURNAL, 7(19 ), 47-62. SID. https://sid.ir/paper/254463/en

    Vancouver: Copy

    NOURI HAMID, ILDOROMI ALIREZA, Salehi Sabah. The Effect of Low-level Clouds Type on Runoff Simulation Accuracy Using SWAT model. DESERT ECOSYSTEM ENGINEERING JOURNAL[Internet]. 2018;7(19 ):47-62. Available from: https://sid.ir/paper/254463/en

    IEEE: Copy

    HAMID NOURI, ALIREZA ILDOROMI, and Sabah Salehi, “The Effect of Low-level Clouds Type on Runoff Simulation Accuracy Using SWAT model,” DESERT ECOSYSTEM ENGINEERING JOURNAL, vol. 7, no. 19 , pp. 47–62, 2018, [Online]. Available: https://sid.ir/paper/254463/en

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