Flash drought climatology over the Argentine humid Pampas
DOI:
https://doi.org/10.24215/1850468Xe025Keywords:
droughts, characterization, soil moistureAbstract
Drought is one of the meteorological events whose onset is generally slow and mainly related to a precipitation deficit. However, there are drought events that, unlike ordinary droughts, intensify in periods of less than one month, where the precipitation deficit is combined with high temperatures, higher wind intensity and/or lower atmospheric humidity, which generates a rapid decrease in soil moisture due to a substantial increase in evapotranspiration. These events are called Flash Droughts (FD). This study performs the first FD climatology over the Humid Pampas using ERA-5 Land soil moisture simulations at 14 meteorological stations in the region. The occurrence and main characteristics of these events were analysed using an FD index that considers both their intensification and severity. During the period 1981-2020, these events generally occurred during the November-May period, favoured by the seasonal increase in evapotranspiration. The duration of each SRD after the intensification period varied widely, lasting from a few weeks to several months, with a longer duration in seasons with fewer events. The FD represent a significant proportion of the total number of drought events, generally more than 40 % of the total number of ordinary drought events. Likewise, a significant increase in the frequency of FD was observed in the period 2001-2020 compared to the period 1981-2000. The 2017-2018 drought, that affected the Humid Pampa, was identified as a FD. This event was the most severe FD recorded between 1981-2020 period across 7 out of 14 stations resulting in significant economic losses as it coincided with the critical period for corn.
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References
Anderson, M. C. y otros, 2016: The Evaporative Stress Index as an indicator of agricultural drought in Brazil: An assessment based on crop yield impacts. Remote Sensing of Environment 174 (2016), 82– 99, http://dx.doi.org/10.1016/j.rse.2015.11.034
Balsamo, G. y otros, 2009: A revised hydrology for the ECMWF model: Verification from field site to terrestrial water storage and impact in the Integrated Forecast System. Journals of Hydrometeorology 10 (2009), 623–643, https://doi.org/10.1175/2008JHM1068.1
Cavalcanti, I.F.A. y otros, 2015: Precipitation extremes over La Plata Basin – Review and new results from observations and climate simulations. Journal of Hydrology 523 (2015), 211–230, http://dx.doi.org/10.1016/j.jhydrol.2015.01.028
Christian, J. I. y otros, 2019: A Methodology for Flash Drought Identification: Application of Flash Drought Frequency across the United States. Journal of Hydrometeorology 20 (2019), 833-846, https://doi.org/10.1175/JHM-D-18-0198.1
Christian, J. I. y otros, 2021: Global distribution, trends, and drivers of flash drought occurrence. NATURE COMMUNICATIONS (2021), 12:6630, https://doi.org/10.1038/s41467-021-26692-z
Collazo, S. y otros, 2022: Evaluation of CMIP6 models in the representation of observed extreme temperature indices trends in South America. Climatic Change, volume 172, 21 (2022), 1-21, https://doi.org/10.1007/s10584-022-03376-1
Ek, M. B. y otros, 2003: Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. Journal of Geophysical Research Atmospheres 108 (2021), https://doi.org/10.1029/2002JD003296
GAR, 2021: UN Global Assessment Report on Disaster Risk Reduction. https://www.preventionweb.net/publications/view/78456
Hersbach, H. y otros, 2020: The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society (2020), 146, 1999-2049, https://doi.org/10.1002/qj.3803
Krepper, C. M. y otros, 1989: Time and Space Variability of Rainfall in Central-East Argentina. Journal of Climate, American Meteorological Society (1989), 2, 39-47, https://doi.org/10.1175/15200442(1989)002<0039:TASVOR>2.0.CO;2
Lisonbee J., y otros, 2021: Making sense of flash drought: definitions, indicators, and where we go from here. Journal of Applied and Service Climatology (2021), 2021, 1-19, https://doi.org/10.46275/JOASC.2021.02.001
McKee, T. B., Doesken N. J., y Kleist J., 1993: The relationship of drought frequency and duration to time scales. Eight Conference on Applied Climatology (1993), 179-184.
Mo, K. C., y D. P. Lettenmaier, 2015: Heat wave flash droughts in decline. Geophysical Research Letters (2015), 42, 2823–2829, https://doi.org/10.1002/2015GL064018 .
Mo, K. C., y D. P. Lettenmaier, 2016: Precipitation deficit flash droughts over the United States. Journal of Hydrometeorology (2016), 17, 1169–1184, https://doi.org/10.1175/JHM-D-15-0158.1
Muñoz Sabater, J., 2019: ERA5-Land hourly data from 1981 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). (Accessed on 01-06-2022, https://doi.org/10.5194/essd-134349-2021-supplement )
Naumann, G. y otros, 2019: Dynamics of Socioeconomic Exposure, Vulnerability and Impacts of Recent Droughts in Argentina. Geosciences (2019), 9 (1), 39, https://doi.org/10.3390/geosciences9010039
Nogueira, M., 2020: Inter-comparison of ERA-5, ERA-interim and GPCP rainfall over the last 40 years: Process-based analysis of systematic and random differences. Journal of Hydrology (2020), 583, 124632, https://doi.org/10.1016/j.jhydrol.2020.124632
Penalba O. C. y Rivera J. A. 2016. Precipitation response to El Niño/La Niña events in Southern South America - emphasis in regional drought occurrences. Advances in Geosciences (2016), 42, 114, https://doi.org/10.5194/adgeo-42-1-2016
Osman, M. y otros, 2020: Flash drought onset over the contiguous United States: sensitivity of inventories and trends to quantitative definitions. Hydrology and Earth System Sciences (2021),25, 565–581, https://doi.org/10.5194/hess-25-565-2021
Otkin, J. A. y otros, 2018: Flash Droughts: A Review and Assessment of the Challenges Imposed by Rapid-Onset Droughts in the United States. Bulletin of the American Meteorological Society (2018), 99(5), 911-919, https://doi.org/10.1175/BAMS-D-17-0149.1
Otkin, J.A. y otros, 2021: Development of a Flash Drought Intensity Index. Atmosphere (2021), 12 (6), 741, https://doi.org/10.3390/atmos12060741
Qing, Y. y otros, 2022: Accelerating flash droughts induced by the joint influence of soil moisture depletion and atmospheric aridity. Nature Communications (2022), 13:1139, https://doi.org/10.1038/s41467-022-28752-4
Rivera J.A. y Penalba O., 2014: Trends and Spatial Patterns of Drought Affected Area in Southern South America. Climate (2014), 2, 264-278, https://doi.org/10.3390/cli2040264
Scian, B. y otros, 2006: Characteristics of large-scale atmospheric circulation related to extreme monthly rainfall anomalies in the Pampa Region, Argentina, under non-ENSO conditions. Theoretical and Applied Climatology, (2006), 85, 89–106, https://doi.org/10.1007/s00704-005-0182-8
Sgroi, L. C. y otros, 2021: Characteristics of droughts in Argentina’s core crop region. Hydrology and Earth System Sciences (2021), 25, 2475–2490, https://doi.org/10.5194/hess-25-2475-2021
Spennemann, P. C. y otros, 2015: A comparison of GLDAS soil moisture anomalies against standardized precipitation index and multisatellite estimations over South America. Journal of Hydrometeorology (2015), 16 (1), 158-171, https://doi.org/10.1175/JHM-D-13-0190.1
Svoboda, M. y otros, 2002: The Drought Monitor. Bulletin of the American Meteorological Society (2002), 83, 1181–1190, https://doi.org/10.1175/1520-0477(2002)083
Wilks, D. S., 2006: Statistical Methods in the Atmospheric Sciences. Vol 91, Second Edition, 2006, Academic Press is an imprint of Elsevier.
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