A new approach for bias adjustment of IMERG remotely sensed snowfall product
Author:
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
http://link.springer.com/content/pdf/10.1007/s00704-020-03420-z.pdf
Reference27 articles.
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2. Anagnostou EN, Negri AJ, Adler RF (1999) Statistical adjustment of satellite microwave monthly rainfall estimates over Amazonia. J Appl Meteorol 38:1590–1598. https://doi.org/10.1175/1520-0450
3. Asakereh H (2005) Spatial-temporal variations of precipitation in Isfahan province during recent decades. J Humanities Res, Isfahan university 18 (1). Geography Letter: 91–116
4. Behrangi A, Bormann KJ, Painter TH (2018) Using the airborne snow observatory to assess remotely sensed snowfall products in the California Sierra Nevada. Water Resour Res 54:7331–7346. https://doi.org/10.1029/2018WR023108
5. Bhatti H, Rientjes T, Haile A, Habib E, Verhoef W (2016) Evaluation of bias correction method for satellite-based rainfall data. Sensors 16(6):884. https://doi.org/10.3390/s16060884
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1. Error correction for IMERG precipitation estimates based on climatological adjustment combining the dry–wet season division and weight allocation;Journal of Hydrology;2023-09
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