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Status: Unchecked ×Keyword: radar observations ×Clear all

3 claims from 1 paper

1. Earth and Planetary Sciences › Meteorological Phenomena and Simulations

   Skilful nowcasting of extreme precipitation with NowcastNet

   Zhang, Long, Chen et al. · Nature · 2023

   The paper presents NowcastNet, a neural-network model combining physical evolution and learning to nowcast extreme precipitation, which meteorologists ranked first in 71% of cases against leading methods.

   Unchecked3 claims
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   1. UncheckedUsing radar data from the USA and China, NowcastNet produces physically plausible rain forecasts with sharp detail over 2,048 km squares, up to 3 hours ahead.“On the basis of radar observations from the USA and China, our model produces physically plausible precipitation nowcasts with sharp multiscale patterns over regions of 2,048 km × 2,048 km and with lead times of up to 3 h.”
   2. UncheckedIn an evaluation by 62 professional meteorologists across China, NowcastNet was ranked first in 71% of cases against leading methods.“In a systematic evaluation by 62 professional meteorologists from across China, our model ranks first in 71% of cases against the leading methods.”
   3. Unchecked“NowcastNet provides skilful forecasts at light-to-heavy rain rates, particularly for extreme-precipitation events accompanied by advective or convective processes that were previously considered intractable.”