The Machine Learning Attribution of Quasi-Decadal Precipitation and Temperature Extremes in Southeastern Australia during the 1971–2022 Period

Climate, Journal Year: 2024, Volume and Issue: 12(5), P. 75 - 75

Published: May 17, 2024

Much of eastern and southeastern Australia (SEAUS) suffered from historic flooding, heat waves, drought during the quasi-decadal 2010–2022 period, similar to that experienced globally. During double La Niña 2010–2012 SEAUS record rainfall totals. Then, severe drought, associated bushfires 2013 2019 affected most SEAUS, briefly punctuated by over parts inland in late winter/spring 2016, which was linked a strong negative Indian Ocean Dipole. Finally, 2020 2022 rare triple generated widespread extreme flooding resulting massive property environmental damage. To identify key drivers period’s precipitation temperature extremes due accelerated global warming (GW), since early 1990s, machine learning attribution has been applied data at eight sites are representative SEAUS. Machine detection 52-year period 1971–2022 successive 26-year sub-periods 1971–1996 1997–2022. The attributes for 1997–2022 includes 2010–2022, revealed contributors period. some events significant changes both local tropospheric circulation.

Language: Английский

---

Climate Change Reduces Darling River Water Levels by Decreasing Eastern Australian Rainfall

Journal of Water, Journal Year: 2024, Volume and Issue: 1(3), P. 48 - 57

Published: Sept. 26, 2024

Significantly decreased rainfall run-off into the dams that feed Darling River in eastern Australia during Millennium (1997–2009) and Tinderbox (2017 –2019) Droughts coincided with reduced river levels along River. The reduction was due to accelerated global warming since mid-late 1990s. During this period, unmonitored water extraction from streams diverted crops, on-farm dams, storage Menindee Lake system. This practice exacerbated effect of two droughts because streamflow reaches ceased several upstream rivers, Using height levels, before after 1990s, it is shown key factor reducing last 53 years, even allowing for diversion extraction. Between periods 1972-1997 1998-2024 mean heights, towns Bourke, Wilcannia Menindee, were all found drop by statistically significant amounts. catchment area has be decreasing induced atmospheric circulation changes. Reducing either or unlikely stop short-medium term decline levels.

Language: Английский

---

Spatiotemporal Drought Assessment in Ningxia Autonomous Region: A Machine Learning and Remote Sensing Approach

Deleted Journal, Journal Year: 2024, Volume and Issue: 4(02)

Published: May 17, 2024

Drought represents a significant disaster that directly impacts the economic and ecological welfare of any nation it afflicts. This study focused on climatic anomalies drought over Ningxia Hui autonomous region in northwest China last two decades. The employed an in-depth machine learning model, which incorporated indices, thus leading to data-informed analysis patterns. accomplished this by using MODIS satellite data products available for vegetation moisture monitoring. MOD09GA, MOD11A2, MCD43A4 streams were loaded into Google Earth Engine as factors develop time-series dataset indices. Indices are Normalized Difference Vegetation Index (NDVI), Enhanced (EVI), Land Surface Temperature (LST) measurements taken account. Data temperature, precipitation, evapotranspiration was compiled period from 2003 2023 calculated standardized indices pixel level whole Standardized Precipitation (SPI), Keetch-Byram (KBDI), Precipitation-Evapotranspiration ( results indicated SPI fell significantly year 2023, 0.7 -0.3. SPEI plummeted 0.5 -0.2 during observed time frame. KBDI also went up, through 581.33 681.091 showing deterioration aridity drying soil. conclusion focuses conditions 20 years.

Language: Английский

---

Machine learning suggests climate and seasonal definitions should be changed under global warming

Published: Nov. 21, 2024

Language: Английский

---