Bivariate Hazard Assessment of Combinations of Dry and Wet Conditions between Adjacent Seasons in a Climatic Transition Zone

• Published in: Atmosphere Vol. 14; no. 3; p. 437
• Main Authors: Cheng, Geer, Liu, Tiejun, Wang, Sinan, Bao, Ligao, Fang, Wei, Shang, Jianan
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.03.2023
• Subjects: Arctic Oscillation; Atmospheric water; Bivariate analysis; China; Climate; Climate change; Climate cycles; Climatic indexes; copula; Drought; Drought index; Droughts; dryness–wetness combination; dynamic evolution; El Nino; El Nino phenomena; Emergency management; Environmental aspects; Floods; Frequency analysis; Hazard assessment; Hazard mitigation; Hydrologic cycle; Mitigation; Moisture content; Pacific Decadal Oscillation; Parameter estimation; Precipitation; Probability distribution; Rain; Random variables; return period; River basins; Runoff; Southern Oscillation; Storm damage; Sunspots; Surface water; Teleconnections (Climatology); Transition zone; Water shortages; Wavelet transforms; Wet spells; China; United States > US; Texas; Huai River; Yangtze River
• DOI: 10.3390/atmos14030437
• ISSN: 2073-4433

Accumulated evidence reminds one that abrupt transitions between dry and wet spells, though attracting less attention, have harmful influences upon global continents as extensively investigated droughts and floods. This study attempts to incorporate dryness–wetness transitions into the current hazard assessment framework through bivariate frequency analysis and causal attribution from a teleconnection perspective. In the study, regional dry and wet conditions are monitored using the multivariate standardized drought index (MSDI) which facilitates the integrated evaluation of water deficits/surplus from a combined viewpoint of precipitation (largely denoting the received atmospheric water) and runoff (representing an important source of surface water). On such a basis, a copula-based method is subsequently utilized to calculate joint return periods of dryness–wetness combinations in three (i.e., moderate, severe and extreme) severity scenarios. The changing frequency of diverse dryness–wetness combinations is also estimated under a changing climate using a 25-year time window. Furthermore, the cross-wavelet transform is applied to attribute variations in dry and wet conditions to large-scale climate indices, which benefits the early warning of dryness–wetness combinations by providing predictive information. A case study conducted during 1952–2010 in the Huai River basin (HRB)—a typical climatic transition zone in China—shows that the HRB is subject to prolonged dryness with the highest frequency, followed by the abrupt transition from dryness to wetness. Spatially, abrupt dryness–wetness transitions are more likely to occur in the southern and central parts of the HRB than in the rest of the proportion. The past half-century has witnessed the dominantly higher frequency of occurrence of dryness–wetness combinations under three severity scenarios. In particular, the occurrence of the continued dry/wetness escalates more rapidly than transition events under climate change. Moreover, a preliminary attribution analysis discloses the link of the dry and wet conditions in the HRB with climate indices, such as the El Niño southern oscillation, the Pacific decadal oscillation and the Arctic oscillation, as well as sunspot activities. The results of the study enrich the current atlas of water-related hazards, which may benefit more effective hazard mitigation and adaptation.