scholarly journals The impact of varying seasonal lengths of the rainy seasons of India on its teleconnections with tropical sea surface temperatures

2020 ◽  
Vol 21 (3) ◽  
Author(s):  
Vasubandhu Misra ◽  
Amit Bhardwaj
Geology ◽  
2019 ◽  
Vol 47 (11) ◽  
pp. 1074-1078 ◽  
Author(s):  
Mattia Tagliavento ◽  
Cédric M. John ◽  
Lars Stemmerik

Abstract The Cretaceous Earth, with its greenhouse climate and absence of major ice caps in the polar regions, represents an extreme scenario for modeling future warming. Despite considerable efforts, we are just at the verge of fully understanding the conditions of a warm Earth, and better, more extensive proxy evidence is needed to solve existing discrepancies between the applied temperature proxies. In particular, the Maastrichtian temperature trends are controversial, since data indicate cooling in the South Atlantic and contemporary warming of the North Atlantic. The “heat piracy” hypothesis involves northward heat transport to midlatitudes via oceanic currents and is used to explain the contrasting polar cooling/warming patterns. Here, we present Δ47 and δ18O data from nine coccolith-enriched samples from a shallow core taken from the Danish Basin (Chalk Sea), representing a key location at the northern mid-latitudes. Based on Δ47 data of coccolith-enriched material, sea-surface temperatures for the late Campanian–Maastrichtian ranged from 24 °C to 30 °C, with an average of 25.9 °C ± 2 °C. This is 4–6 °C higher than estimates based on Δ47 of bulk samples and 8–10 °C higher than reported temperatures based on bulk δ18O data from the same core. However, these higher temperature estimates are lower, but overall in line with estimates of Late Cretaceous tropical sea-surface temperatures from TEX86 (tetraether index of 86 carbons), when considering latitudinal differences. The study highlights the potential of clumped isotope paleothermometry on coccoliths as a valid, reliable proxy with which to reconstruct sea-surface temperatures.


2018 ◽  
Vol 45 (8) ◽  
pp. 3542-3549 ◽  
Author(s):  
Tianran Chen ◽  
Kim M. Cobb ◽  
George Roff ◽  
Jianxin Zhao ◽  
Hongqiang Yang ◽  
...  

Nature ◽  
2001 ◽  
Vol 413 (6855) ◽  
pp. 481-487 ◽  
Author(s):  
Paul N. Pearson ◽  
Peter W. Ditchfield ◽  
Joyce Singano ◽  
Katherine G. Harcourt-Brown ◽  
Christopher J. Nicholas ◽  
...  

1996 ◽  
Vol 23 (22) ◽  
pp. 3159-3162 ◽  
Author(s):  
Shyam M. Gupta ◽  
A. A. Fernandes ◽  
Raghul Mohan

Nature ◽  
2001 ◽  
Vol 414 (6862) ◽  
pp. 470-470 ◽  
Author(s):  
Paul N. Pearson ◽  
Peter W. Ditchfield ◽  
Joyce Singano ◽  
Katherine G. Harcourt-Brown ◽  
Christopher J. Nicholas ◽  
...  

Atmosphere ◽  
2020 ◽  
Vol 11 (8) ◽  
pp. 869
Author(s):  
Ghassan J. Alaka ◽  
Dmitry Sheinin ◽  
Biju Thomas ◽  
Lew Gramer ◽  
Zhan Zhang ◽  
...  

The goal of this paper is to introduce a new multi-storm atmosphere/ocean coupling scheme that was implemented and tested in the Basin-Scale Hurricane Weather Research and Forecasting (HWRF-B) model. HWRF-B, an experimental model developed at the National Oceanic and Atmospheric Administration (NOAA) and supported by the Hurricane Forecast Improvement Program, is configured with multiple storm-following nested domains to produce high-resolution predictions for several tropical cyclones (TCs) within the same forecast integration. The new coupling scheme parallelizes atmosphere/ocean interactions for each nested domain in HWRF-B, and it may be applied to any atmosphere/ocean coupled system. TC forecasts from this new hydrodynamical modeling system were produced in the North Atlantic and eastern North Pacific from 2017–2019. The performance of HWRF-B was evaluated, including forecasts of TC track, intensity, structure (e.g., surface wind radii), and intensity change, and simulated sea-surface temperatures were compared with satellite observations. Median forecast skill scores showed significant improvement over the operational HWRF at most forecast lead times for track, intensity, and structure. Sea-surface temperatures cooled by 1–8 °C for the five HWRF-B case studies, demonstrating the utility of the model to study the impact of the ocean on TC intensity forecasting. These results show the value of a multi-storm modeling system and provide confidence that the multi-storm coupling scheme was implemented correctly. Future TC models within NOAA, especially the Unified Forecast System’s Hurricane Analysis and Forecast System, would benefit from the multi-storm coupling scheme whose utility and performance are demonstrated in HWRF-B here.


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