Ledesma, Jose
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences
- Centre for Advanced Studies of Blanes (CEAB-CSIC)
Research article2020Peer reviewedOpen access
Morbidelli, Renato; Penelope Garcia-Marin, Amanda; Al Mamun, Abdullah; Atiqur, Rahman Mohammad; Luis Ayuso-Munoz, Jose; Taouti, Mohamed Bachir; Baranowski, Piotr; Bellocchi, Gianni; Sanguesa-Pool, Claudia; Bennett, Brett; Oyunmunkh, Byambaa; Bonaccorso, Brunella; Brocca, Luca; Caloiero, Tommaso; Caporali, Enrica; Caracciolo, Domenico; Carmen Casas-Castillo, M.; Catalini, Carlos G.; Chettih, Mohamed; Chowdhury, A. F. M. Kamal;
Show more authors
Collected rainfall records by gauges lead to key forcings in most hydrological studies. Depending on sensor type and recording systems, such data are characterized by different time-resolutions (or temporal aggregations), t(a). We present an historical analysis of the time-evolution of t(a) based on a large database of rain gauge networks operative in many study areas. Globally, t(a) data were collected for 25,423 rain gauge stations across 32 geographic areas, with larger contributions from Australia, USA, Italy and Spain. For very old networks early recordings were manual with coarse time-resolution, typically daily or sometimes monthly. With a few exceptions, mechanical recordings on paper rolls began in the first half of the 20th century, typically with t(a) of 1 h or 30 min. Digital registrations started only during the last three decades of the 20th century. This short period limits investigations that require long time-series of sub-daily rainfall data, e.g, analyses of the effects of climate change on short-duration (sub-hourly) heavy rainfall. In addition, in the areas with rainfall data characterized for many years by coarse time-resolutions, annual maximum rainfall depths of short duration can be potentially underestimated and their use would produce errors in the results of successive applications. Currently, only 50% of the stations provide useful data at any time-resolution, that practically means t(a) = 1 min. However, a significant reduction of these issues can be obtained through the information content of the present database. Finally, we suggest an integration of the database by including additional rain gauge networks to enhance its usefulness particularly in a comparative analysis of the effects of climate change on extreme rainfalls of short duration available in different locations.
Hydrology history; Rainfall data measurements; Rainfall time resolution
Journal of Hydrology
2020, Volume: 590, article number: 125258
SDG13 Climate action
Meteorology and Atmospheric Sciences
DOI: https://doi.org/10.1016/j.jhydrol.2020.125258
https://res.slu.se/id/publ/108169