[AHW34-P03] Meteorological drought change evaluation using comparative standardized precipitation index with d4PDF future and past experiments
Keywords:meteorological drought, comparative SPI, anthropogenic impacts, climate change, d4PDF
The comparative SPI (cSPI) is an extension of the SPI and was developed for meteorological drought assessment under climate change as well as monitoring drought hazards by dividing the input dataset of precipitation into the reference and target datasets. The CDF parameters are estimated with the reference dataset, and the precipitation of the target dataset is converted to the Z-score of the standardized normal distribution related to the CDF using the parameters estimated from the reference dataset. This cSPI approach enables us to estimate the shift of the central condition of the target dataset and the probability changes of dry and wet conditions in the target dataset on the basis of the reference dataset.
The d4PDF (database for Policy Decision-making for Future climate change) consists of three sets of experiments using a general circulation model with 60-km horizontal grid developed by Meteorological Research Institute of Japan: historical climate experiment (100 runs, 60 years from 1951 to 2010), non-warming past experiment (100 runs, 60 years), and +4K future climate experiment (90 runs, 60 years). We compute cSPI of the non-warming past and +4K future climate experiments on the basis of 100 members of the historical climate ensemble experiment, respectively. We demonstrate the changes in the central conditions and in the probabilities of dry and wet conditions with cSPI due to the anthropogenic global warming in future (+4K vs. historical) and past (non-warming vs. historical) climate experiments.
Hasegawa, A., M. Gusyev, T. Ushiyama, J. Magome, and Y. Iwami (2015) Drought assessment in the Pampanga River basin, the Philippines --- Part 2: A comparative SPI approach for quantifying climate change hazards, in "MODSIM2015, 21st International Congress on Modeling and Simulation", ISBN:978-0-9872143-5-5, 2388-2394, http://www.mssanz.org.au/modsim2015/L13/hasegawa.pdf.
Hasegawa, A., M. Gusyev, and Y. Iwami (2016) Meteorological drought and flood assessment using the comparative SPI approach in Asia under climate change, J. of Disaster Research, 11(6), 1082-1090, DOI:10.20965/jdr.2016.p1082.