Remote sensing-based precipitation forecasting using cloud optical characteristics: threshold optimization and evaluation in Northern and Western Iran
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-06352-9.pdf
Reference33 articles.
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2. Agnoli L, Urquhart E, Georgantzis N, Schaeffer B, Simmons R, Hoque B, Neely MB, Neil C, Oliver J, Tyler A (2023) Perspectives on user engagement of satellite Earth observation for water quality management. Technol Forecast Soc Change 189:122357. https://doi.org/10.1016/j.techfore.2023.122357
3. Bahrami A, Goïta K, Magagi R, Davison B, Razavi S, Elshamy M, Princz D (2021) Data assimilation of satellite-based terrestrial water storage changes into a hydrology land-surface model. J Hydrol 597:125744. https://doi.org/10.1016/j.jhydrol.2020.125744
4. Brocca L, Zhao W, Lu H (2023) High-resolution observations from space to address new applications in hydrology. Innov 4:100437. https://doi.org/10.1016/j.xinn.2023.1004373
5. Cetin M (2019) The effect of urban planning on urban formations determining bioclimatic comfort area’s effect using satellitia imagines on air quality: a case study of Bursa city. Air Qual Atmos Heal 12:1237–1249. https://doi.org/10.1007/s11869-019-00742-4
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