Evidence map›Paper›PMID 41785319›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Observed universal continuum morphology of raindrops reveals a concise diagram of heavy precipitation microphysics.

Long Wen, Gang Chen, Shuguang Wang, Ji Nie, Kun Zhao

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Long WenState Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University, Nanjing 210023, China.ORCID 0000-0001-9982-9633
Gang ChenKey Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210019, China.
Shuguang WangState Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University, Nanjing 210023, China.
Ji NieDepartment of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing 100871, China.ORCID 0000-0002-9829-8604
Kun ZhaoState Key Laboratory of Severe Weather Meteorological Science and Technology, Nanjing University, Nanjing 210023, China.

Funding

MOST | National Key Research and Development Program of China (NKPs) 2022YFC3003902MOST | National Natural Science Foundation of China (NSFC) 41905021MOST | National Natural Science Foundation of China (NSFC) 42025501MOST | National Natural Science Foundation of China (NSFC) 42475009
6 · The paper itself

Abstract

Persistent knowledge gaps in precipitation microphysics, particularly the nonlinear coupling between microphysical process hierarchies and raindrop size distribution (DSD) variability, keep introducing systemic uncertainties into precipitation retrievals and model simulations. Here, we address this challenge through a unified framework that integrates observations from China's national-scale disdrometer network (1,031 sites) and 10-year global dual-frequency precipitation satellite dataset. First, a region-independent DSD continuum characterized by a universal linear relationship between raindrop diameter and concentration across diverse climatic zones is identified, extending and refining the conventional maritime-like and continental-like category. Then, we quantify the vertical stratification of microphysical processes in shaping and shifting this continuum. Implementations of our findings to reduce biases in current microphysics parameterizations are proposed and discussed. This study advances our fundamental understanding of the apparent heterogeneity yet inherent homogeneity in the microphysics of heavy precipitation, providing mechanistic insights to improve the performance of weather and climate models.

Indexed as

cloud microphysicsprecipitation microphysicsraindrop size

Identifiers

PMID41785319
PMCPMC12974500

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.