چکیده مقاله
Weather forecasting relies on quick access to extensive information, necessitating frequentupdates due to the rapid changes in meteorological observations Satellites areexceptional sources of this data, offering broad coverage and immediate access Satelliteimagery enables synoptic studies of atmospheric conditions and aids in weatherpredictions based on atmospheric physics and historical behavior This researchinvestigates and compares various bias correction methods for satellite products in Iran'sGolestan province to identify the most effective approach Alongside precipitation datafrom ground stations, the study also analyzes two types of satellite data: calibrated dataand predicted data that account for various factors affecting precipitation
کلیدواژهها
نویسندگان
Sepide Mostafavi
PHD Candidate at KNTU,
Mohamadreza Kavianpour
Proffessor at KNTU
Hamidreza Sajadi
PHD Candidate at KNTU
شیوه ارجاع
Mostafavi, Sepide and Kavianpour, Mohamadreza and Sajadi, Hamidreza,1403,Evaluation and Comparison of Application ofDifferent Methods in bias Correction for SatelliteProducts (case study: Golestan province),Second International Conference on applied researches in civil engineering, architecture and urban planning
ارائهشده در
مجموعه مقالات دومین کنفرانس بین المللی تحقیقات پیشرفته در مهندسی عمران، معماری و شهرسازی20 آبان 1403