Ground- and Satellite-Based Evaluation of WRF Snowfall Prediction-Reference-Cited by-同舟云学术

Ground- and Satellite-Based Evaluation of WRF Snowfall Prediction

Published:2022 Issue:0 Volume:18 Page:173-180
ISSN:1349-6476
Container-title:SOLA
language:en
Short-container-title:SOLA

Author:

Lee Jae-yong¹,Lee Seung-Min¹,Lee Seung-Jae¹

Affiliation:

1. National Center for AgroMeteorology

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Link

https://www.jstage.jst.go.jp/article/sola/18/0/18_2022-028/_pdf

Reference33 articles.

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2. Aalstad, K., S. Westermann, T. V. Schuler, J. Boike, and L. Bertino, 2018: Ensemble-based assimilation of fractional snow-covered area satellite retrievals to estimate the snow distribution at Arctic sites. Cryosphere, 12, 247-270, doi:10.5194/tc-12-247-2018.

3. Balsamo, G., A. Agusti-Panareda, C. Albergel, G. Arduini, A. Beljaars, J. Bidlot, and co-authors, 2018: Satellite and in situ observations for advancing global Earth surface modelling: A Review. Remote Sensing, 10, 2038.

4. Cho, K. H., and T. Y. Kwon, 2012: Orographic and ocean effects associated with a heavy snowfall event over Yeongdong region. Atmosphere, 22, 57-71, doi:10.14191/Atmos.2012.22.1.057 (in Korean with English abstract).

5. Dai, L., T. Che, Y. Ding, and X. Hao, 2016: Evaluation of snow cover and snow depth on the Qinghai-Tibetan Plateau derived from passive microwave remote sensing. Cryosphere, 11, 1933-1948, doi:10.5194/tc-11-1933-2017.

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