scholarly journals Extreme Weather Events Enhance DOC Consumption in a Subtropical Freshwater Ecosystem: A Multiple-Typhoon Analysis

2021 ◽  
Vol 9 (6) ◽  
pp. 1199
Author(s):  
Chao-Chen Lai ◽  
Chia-Ying Ko ◽  
Eleanor Austria ◽  
Fuh-Kwo Shiah

Empirical evidence suggests that the frequency/intensity of extreme weather events might increase in a warming climate. It remains unclear how these events quantitatively impact dissolved organic carbon (DOC), a pool approximately equal to CO2 in the atmosphere. This study conducted a weekly-to-biweekly sampling in a deep subtropical reservoir in the typhoon-prevailing season (June to September) from 2004 to 2009, at which 33 typhoons with distinctive precipitation (<1~362 mm d−1) had passed the study site. Our analyses indicated that the phosphate (i.e., DIP; <10~181 nMP) varied positively with the intensity of the accumulated rainfall 2-weeks prior; bacteria growth rate (0.05~3.68 d−1) behaved as a positive function of DIP, and DOC concentrations (54~119 µMC) changed negatively with bacterial production (1.2~26.1 mgC m−3 d−1). These implied that the elevated DIP-loading in the hyperpycnal flow induced by typhoons could fuel bacteria growth and cause a significant decline of DOC concentrations. As the typhoon’s intensity increases, many mineral-limited lentic freshwater ecosystems might become more like a CO2 source injecting more CO2 back to the atmosphere, creating a positive feedback loop that might generate severer extreme weather events.

2019 ◽  
Vol 25 (4) ◽  
pp. 189-190
Author(s):  
Kent E. Pinkerton ◽  
Emily Felt ◽  
Heather E. Riden

Abstract. A warming climate has been linked to an increase in the frequency and severity of extreme weather events, including heat and cold waves, extreme precipitation, and wildfires. This increase in extreme weather results in increased risks to the health and safety of farmworkers. Keywords: Climate change, Extreme weather, Farmworkers, Global warming, Health and safety.


MAUSAM ◽  
2021 ◽  
Vol 65 (4) ◽  
Author(s):  
GEETA AGNIHOTRI ◽  
JAGABANDHU PANDA

The establishment of a network of AWS is one of the very important components under modernization programme of IMD. This study discusses the comparison of 24 hrs accumulated rainfall from ordinary and automatic rain gauges in 11 co-located stations of Karnataka. Results show that Bangalore, Gadag, Honnavar, Dharwad, Haveri, Tumkur, Bidar and Kodagu have bias within ±5 mm exhibiting good performance while Chamarajanagar, Raichur and Bijapur have bias within ±20 mm. The correlation coefficient between two datasets is strong and positive for all the stations except Chamarajnagar, Raichur and Bijapur. The t-test shows that the difference between means of two datasets is not statistically significant at 95% confidence. Further, AWS data is able to show changes in various meteorological parameters along with the movement of the cyclone. This has highlighted the utility of AWS data in extreme weather events like a tropical cyclone


2018 ◽  
Author(s):  
Peter C. Balash, PhD ◽  
Kenneth C. Kern ◽  
John Brewer ◽  
Justin Adder ◽  
Christopher Nichols ◽  
...  

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