Aragon, C. M., Loikith, P. C., McCullar, N., & Mandilag, A. (2020). Connecting local‐scale heavy precipitation to large‐scale meteorological patterns over Portland, Oregon. International Journal of Climatology, 40(11), 4763-4780. https://doi.org/10.1002/joc.6487
Bărbulescu, A., & Deguenon, J. (2014). MODELS FOR TREND OF PRECIPITATION IN DOBRUDJA. Environmental Engineering & Management Journal (EEMJ), 13(4). https://doi.org/10.30638/eemj.2014.091
Breinl, K., Di Baldassarre, G., Mazzoleni, M., Lun, D., & Vico, G. (2020). Extreme dry and wet spells face changes in their duration and timing. Environmental Research Letters, 15(7), 074040. https://doi.org/10.1088/1748-9326/ab7d05
Burgan, H. I., & Aksoy, H. (2020). Monthly flow duration curve model for ungauged river basins. Water, 12(2), 338. https://doi.org/10.3390/w12020338
Carrão, H., Russo, S., Sepulcre-Canto, G., & Barbosa, P. (2016). An empirical standardized soil moisture index for agricultural drought assessment from remotely sensed data. International journal of applied earth observation and geoinformation, 48, 74-84. https://doi.org/10.1016/j.jag.2015.06.011
Cooley, A. K., & Chang, H. (2021). Detecting change in precipitation indices using observed (1977–2016) and modeled future climate data in Portland, Oregon, USA. Journal of Water and Climate Change, 12(4), 1135-1153. https://doi.org/10.2166/wcc.2020.043
Cumbie-Ward, R. V., & Boyles, R. P. (2016). Evaluation of a high-resolution SPI for monitoring local drought severity. Journal of Applied Meteorology and Climatology, 55(10), 2247-2262.
Deo, R. C. (2011). On meteorological droughts in tropical Pacific Islands: time‐series analysis of observed rainfall using Fiji as a case study. Meteorological Applications, 18(2), 171-180. https://doi.org/10.1002/met.216
Deo, R. C., Byun, H.-R., Adamowski, J. F., & Begum, K. (2017). Application of effective drought index for quantification of meteorological drought events: a case study in Australia. Theoretical and Applied Climatology, 128, 359-379. https://doi.org/10.1007/s00704-015-1706-5
Dogan, S., Berktay, A., & Singh, V. P. (2012). Comparison of multi-monthly rainfall-based drought severity indices, with application to semi-arid Konya closed basin, Turkey. Journal of Hydrology, 470, 255-268. https://doi.org/10.1016/j.jhydrol.2012.09.003
Escalante-Sandoval, C., & Nuñez-Garcia, P. (2017). Meteorological drought features in northern and northwestern parts of Mexico under different climate change scenarios. Journal of Arid Land, 9, 65-75. https://doi.org/10.1007/s40333-016-0022-y
Eslamian, S., Ostad-Ali-Askari, K., Singh, V. P., Dalezios, N. R., Ghane, M., Yihdego, Y., & Matouq, M. (2017). A review of drought indices. Int. J. Constr. Res. Civ. Eng, 3(4), 48-66. https://doi.org/10.20431/2454-8693.0304005
Fernandes, D. S., Heinemann, A. B., Paz, R. L. F., & Amorim, A. d. O. (2010). Desempenho de índices quantitativos de seca na estimativa da produtividade de arroz de terras altas. Pesquisa Agropecuária Brasileira, 45, 771-779.
Ghadimi, M., & Nezammahalleh, M. (2015). Construction of a causeway bridge across the Lake Urmia and its influence on drying trend of the lake. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 40, 211-213. https://doi.org/10.5194/isprsarchives-XL-1-W5-211-2015
Ghazi, B., Przybylak, R., & Pospieszyńska, A. (2023). Projection of climate change impacts on extreme temperature and precipitation in Central Poland. Scientific Reports, 13(1), 18772. https://doi.org/10.1038/s41598-023-46199-5
Ghorbani, K., KHALILI, A., Alavipanah, S., & NAKHAEIZADEH, G. R. (2010). Comparative study of the meteorological drought indices (SPI and SIAP) using data mining method (case study of Kermanshah Province).
Gumus, V., & Algin, H. M. (2017). Meteorological and hydrological drought analysis of the Seyhan− Ceyhan River Basins, Turkey. Meteorological Applications, 24(1), 62-73. (10.1002/met.1605)
Habibi, B., Meddi, M., Torfs, P. J., Remaoun, M., & Van Lanen, H. A. (2018). Characterisation and prediction of meteorological drought using stochastic models in the semi-arid Chéliff–Zahrez basin (Algeria). Journal of Hydrology: Regional Studies, 16, 15-31. https://doi.org/10.1016/j.ejrh.2018.02.005
Hayes, M. J., Alvord, C., & Lowrey, J. (2007). Drought indices. Intermountain west climate summary, 3(6), 2-6. https://doi.org/10.1002/0471743984.vse8593
Herrera‐Estrada, J. E., Satoh, Y., & Sheffield, J. (2017). Spatiotemporal dynamics of global drought. Geophysical Research Letters, 44(5), 2254-2263. https://doi.org/10.1002/2016GL071768
Hoek van Dijke, A. J., Herold, M., Mallick, K., Benedict, I., Machwitz, M., Schlerf, M., Pranindita, A., Theeuwen, J. J., Bastin, J.-F., & Teuling, A. J. (2022). Shifts in regional water availability due to global tree restoration. Nature Geoscience, 15(5), 363-368. https://doi.org/10.1038/s41561-022-00935-0
Hosseinzadehtalaei, P., Tabari, H., & Willems, P. (2020). Climate change impact on short-duration extreme precipitation and intensity–duration–frequency curves over Europe. Journal of Hydrology, 590, 125249. https://doi.org/10.1016/j.jhydrol.2020.125249
Huang, B., Li, Y., Liu, Y., Hu, X., Zhao, W., & Cherubini, F. (2023). A simplified multi-model statistical approach for predicting the effects of forest management on land surface temperature in Fennoscandia. Agricultural and forest meteorology, 332, 109362. https://doi.org/10.1016/j.agrformet.2023.109362
Kalkuhl, M., & Wenz, L. (2020). The impact of climate conditions on economic production. Evidence from a global panel of regions. Journal of Environmental Economics and Management, 103, 102360. https://doi.org/10.1016/j.jeem.2020.102360
Karabulut, M. (2015). Drought analysis in Antakya-Kahramanmaraş Graben, Turkey. Journal of Arid Land, 7, 741-754. https://doi.org/10.1007/s40333-015-0011-6
Konapala, G., Mishra, A. K., Wada, Y., & Mann, M. E. (2020). Climate change will affect global water availability through compounding changes in seasonal precipitation and evaporation. Nature communications, 11(1), 3044. https://doi.org/10.1038/s41467-020-16757-w
Krueger, E. S., Ochsner, T. E., Quiring, S. M., Engle, D. M., Carlson, J., Twidwell, D., & Fuhlendorf, S. D. (2017). Measured soil moisture is a better predictor of large growing‐season wildfires than the Keetch–Byram Drought Index. Soil Science Society of America Journal, 81(3), 490-502. https://doi.org/10.2136/sssaj2017.01.0003
Leite-Filho, A. T., Soares-Filho, B. S., Davis, J. L., Abrahão, G. M., & Börner, J. (2021). Deforestation reduces rainfall and agricultural revenues in the Brazilian Amazon. Nature Communications, 12(1), 2591. https://doi.org/10.1038/s41467-021-22840-7
Li, Y., Huang, B., & Rust, H. W. (2024). Using statistical models to depict the response of multi-timescale drought to forest cover change across climate zones. Hydrology and Earth System Sciences, 28(2), 321-339. https://doi.org/10.5194/hess-28-321-2024
Li, Y., Yao, N., Sahin, S., & Appels, W. M. (2017). Spatiotemporal variability of four precipitation-based drought indices in Xinjiang, China. Theoretical and Applied Climatology, 129, 1017-1034.
Liu, X., Zhu, X., Pan, Y., Bai, J., & Li, S. (2018). Performance of different drought indices for agriculture drought in the North China Plain. Journal of Arid Land, 10, 507-516. https://doi.org/10.1007/s40333-018-0005-2
Lu, H., Wu, Y., Li, Y., & Liu, Y. (2017). Effects of meteorological droughts on agricultural water resources in southern China. Journal of Hydrology, 548, 419-435. https://doi.org/10.1016/j.jhydrol.2017.03.021
Mahmoudi, P., Rigi, A., & Miri Kamak, M. (2019). A comparative study of precipitation-based drought indices with the aim of selecting the best index for drought monitoring in Iran. Theoretical and Applied Climatology, 137, 3123-3138. https://doi.org/10.1007/s00704-019-02778-z
Rad, A. M., Ghahraman, B., Khalili, D., Ghahremani, Z., & Ardakani, S. A. (2017). Integrated meteorological and hydrological drought model: a management tool for proactive water resources planning of semi-arid regions. Advances in water resources, 107, 336-353. https://doi.org/10.1016/j.advwatres.2017.07.007
Schmith, T., Thejll, P., Berg, P., Boberg, F., Christensen, O. B., Christiansen, B., Christensen, J. H., Madsen, M. S., & Steger, C. (2021). Identifying robust bias adjustment methods for European extreme precipitation in a multi-model pseudo-reality setting. Hydrology and Earth System Sciences, 25(1), 273-290.
Sienz, F., Bothe, O., & Fraedrich, K. (2012). Monitoring and quantifying future climate projections of dryness and wetness extremes: SPI bias. Hydrology and Earth System Sciences, 16(7), 2143-2157. https://doi.org/10.5194/hess-16-2143-2012
Stagge, J. H., Tallaksen, L. M., Gudmundsson, L., Van Loon, A. F., & Stahl, K. (2015). Candidate distributions for climatological drought indices (SPI and SPEI). International Journal of Climatology, 35(13), 4027-4040. https://doi.org/10.1002/joc.4267
Stricevic, R., Djurovic, N., & Djurovic, Z. (2011). Drought classification in Northern Serbia based on SPI and statistical pattern recognition. Meteorological Applications, 18(1), 60-69. https://doi.org/10.1002/met.207
Tabari, H. (2021). Extreme value analysis dilemma for climate change impact assessment on global flood and extreme precipitation. Journal of Hydrology, 593, 125932. https://doi.org/10.1016/j.jhydrol.2020.125932
Tabari, H., Paz, S. M., Buekenhout, D., & Willems, P. (2021). Comparison of statistical downscaling methods for climate change impact analysis on precipitation-driven drought. Hydrology and Earth System Sciences, 25(6), 3493-3517. https://doi.org/10.5194/hess-25-3493-2021
Tian, L., Yuan, S., & Quiring, S. M. (2018). Evaluation of six indices for monitoring agricultural drought in the south-central United States. Agricultural and forest meteorology, 249, 107-119.
Tian, L., Zhang, B., Wang, X., Chen, S., & Pan, B. (2022). Large‐scale afforestation over the Loess Plateau in China contributes to the local warming trend. Journal of Geophysical Research: Atmospheres, 127(1), e2021JD035730. https://doi.org/10.1029/2021JD035730
Van Loon, A. F., & Laaha, G. (2015). Hydrological drought severity explained by climate and catchment characteristics. Journal of hydrology, 526, 3-14. https://doi.org/10.1016/j.jhydrol.2014.10.059
Van Loon, A. F., & Van Lanen, H. A. (2012). A process-based typology of hydrological drought. Hydrology and Earth System Sciences, 16(7), 1915-1946.
World Meteorlogical Organization (WMO). (2013. High-level meeting on national drought policy. Geneva: International Conference Center (CICG). Retrieved March/11 ,