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The Chinese Communist Party is consolidating one party rule under the leadership of Xi Jinping. Beijing seeks to rule by central mandate while limiting local autonomy. The central government response to the COVID-19 public health emergency reinforces this view. In January 2020 Beijing established the Central Epidemic Response Leading Group to mobilise a comprehensive nationwide policy effort to contain the virus. The exceptional nature of the COVID-19 national emergency allows the central government to project power over local authorities and leverage over citizens, but we argue that this is a short-term phenomenon because local disease control initiatives remain important, with local authorities adapting national policies to meet constituent needs. There are degrees of policy discretion and divergence at the subnational level that enable context-specific responses to the virus within China's strict bureaucratic hierarchy. Primary data derives from interviews and observations in Nancun village, Hebei Province, conducted from January to April 2020. Evidence from Nancun explains how local authorities interpret the edicts and mandates of the central government.

The research leading to these results has received funding from the European Union's Seventh Framework Programme under grant agreement FP7 ICT 2011 – 284553 (Acronym: Si-CODE), the NEUROSCAFFOLDS Project n. 604263, the National Natural Science Foundation of China (Grant number: 51361130033) and the Ministry of Science and Technology of China (973 Grant number: 2014CB965003).

Abstract. Because of density and distribution flaws inherent with in situ rainfall measurements, satellite-based rainfall products, especially the Tropical Rainfall Measuring Mission (TRMM), were expected to offer an alternative or complement for modeling of hydrological processes and water balance analysis. This study aims at evaluating the validity of a standard product, the TRMM Multi-satellite Precipitation Analysis (TMPA) 3B42V6, by comparing it with in situ ground gauge datasets on a typical alpine and gorge region in China, the Jinsha River basin. The validation study involved the performance of the 3B42V6 product on 3 h, daily and monthly temporal scales. Statistical analysis methods were used for rainfall and rain event estimation. The results affirmed that the 3B42V6 product demonstrated increasing accuracy when the temporal scales were increased from 3 h to daily to monthly. The mean correlation coefficient of rainfall time series between the 3B42V6 product and the gauge over the Jinsha River basin reached 0.34 on the 3 h scale, 0.59 on the daily scale, and 0.90 on the monthly scale. The mean probability of detection (POD) of the 3B42V6 product reached 0.34 on the 3 h scale and 0.63 on the daily scale. The 3B42V6 product of 80.4% of stations obtained an acceptable bias (± 25%) over the investigation area. A threshold of nearly 5.0 mm d−1 in daily rainfall intensity split the 3B42V6 product into overestimates (< 5.0 mm d−1) and underestimates (> 5.0 mm d−1). The terrain elements of altitude, longitude, and latitude were the major influencing factors for 3B42V6 performance. In brief, the 3B42V6 dataset has great potential for research on hydrologic processes, especially daily or large temporal scale. As for fine temporal scale applications, such as flood predictions based on a 3 h scale dataset, it is necessary to conduct adjustments or to combine the 3B42V6 product with gauges to be more accurate regarding the issues in the study area or in analogous regions with complicated terrains.