Southern Oscillation Anomalies and Their Relationship to Wildfire Activity in Florida

1991 ◽  
Vol 1 (1) ◽  
pp. 73 ◽  
Author(s):  
J Brenner
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Level ◽  
Southern Oscillation ◽  
Correlation Coefficients ◽  
Sea Surface ◽  
Eastern Pacific ◽  
Fire Season ◽  
Central Pacific ◽  
And Sea Level

Some relationships between the EI Nino / Southern Oscillation (ENSO) and wildfire in Florida are examined. Unlike many ENSO / wildfire studies to date, no particular emphasis was placed on the positive side of the ENSO. Both the positive and negative sides were equally examined. Linear correlation coefficients, scatter diagrams and line graphs are constructed to compare acres burned with indices of central and eastern Pacific sea surface temperature and pressure anomalies. The study reveals a significant relationship between anomalous sea surface temperatures and sea level pressures in the tend and eastern Pacific, and acres burned in Florida due to wildfires. The typical fire season in Florida is during the winter months, and the best correlation coefficient ("r" 0.71) was derived from the average central Pacific sea surface temperature anomaly for the period January through my, indicating it correlated with up to 50% of the variance in acres burned during the years examined. The study further suggests that it may be possible to develop a predictive model for wildfii activity in Florida, based on observed anomalies of sea surface temperatwe and sea level pressure in the central and eastern Pacific.

Effects of sea surface temperature on distributions of two tropical tunas under the shifts of climate periodicity

2020 ◽  
Author(s):  
Yi-Ting Hsiao ◽  
Min-Hui Lo ◽  
Hui-Yu Wang
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Climate Models ◽  
Southern Oscillation ◽  
Life Stage ◽  
Early Life Stage ◽  
Sea Surface ◽  
Eastern Pacific ◽  
Catch Per Unit Effort ◽  
Central Pacific

<p>   Tunas provide an important marine resource for the countries that surround the Pacific Ocean. Under climate change, climate models project an increasing frequency of central Pacific El Niño/Southern Oscillation events but a decreasing frequency of eastern Pacific El Niño/Southern Oscillation events, and may cause sea temperature rising in the central western Pacific relative to the eastern Pacific region and leading to corresponding changes in biological productivity, in turn influencing early life stage of tunas. Consequently, it is crucial to investigate how such climatic periodicity will impact the distribution and abundance of tunas.<br>   Here, yellowfin and albacore tunas are selected as our study species. Yellowfin tuna prefer warmer environments and have smaller body size and younger age-at-maturation (1 year) compared to albacore tunas (mature in 2 years). We use the spatially-explicit (5° grids) longline catch-and-effort data across 20°N~20°S and105°E~75°W,1970~2015, from Inter American Tropical Tuna Commission (IATTC) and Western & Central Pacific Fisheries Commission (WCPFC). We analyze the spatial and inter-annual variation in the catch-per-unit-effort for the two tunas with respect to changes in sea surface temperature in the central Pacific El Niño/Southern Oscillation events vs. the eastern Pacific El Niño/Southern Oscillation events. To investigate whether the distribution of tunas change under the central Pacific El Niño/Southern Oscillation events and the eastern Pacific El Niño/Southern Oscillation events will greatly help fisheries management and sustainable development of marine resources. </p>

Detection and variability of the Congo River plume from satellite derived sea surface temperature, salinity, ocean colour and sea level

2013 ◽  
Vol 139 ◽  
pp. 365-385 ◽  
Author(s):  
Jo Hopkins ◽  
Marc Lucas ◽  
Claire Dufau ◽  
Marion Sutton ◽  
Jacques Stum ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Level ◽  
River Plume ◽  
Sea Surface ◽  
Ocean Colour ◽  
Congo River ◽  
And Sea Level

Prediction of summer rainfall in Pakistan from global sea-surface temperature and sea-level pressure

Weather ◽  
2017 ◽  
Vol 72 (3) ◽  
pp. 76-84 ◽  
Author(s):  
Muhammad Adnan ◽  
Nadia Rehman ◽  
Shaukat Ali ◽  
Shahbaz Mehmood ◽  
Kaleem Anwar Mir ◽  
...  
Keyword(s):  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Level ◽  
Summer Rainfall ◽  
Sea Surface ◽  
Sea Level Pressure ◽  
Level Pressure ◽  
Global Sea Surface Temperature ◽  
And Sea Level

scholarly journals A Verified Estimation of the El Niño Index Niño-3.4 since 1877

2009 ◽  
Vol 22 (14) ◽  
pp. 3979-3992 ◽  
Author(s):  
Lucia Bunge ◽  
Allan J. Clarke
Keyword(s):  
Time Series ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
El Niño ◽  
El Nino ◽  
Southern Oscillation ◽  
Correlation Coefficients ◽  
Sea Surface ◽  
Monthly Time Series ◽  
Sst Anomaly

Abstract Decadal and longer time-scale variabilities of the best known El Niño–Southern Oscillation (ENSO) indexes are poorly correlated before 1950, and so knowledge of interdecadal variability and trend in ENSO indexes is dubious, especially before 1950. To address this problem, the authors constructed and compared physically related monthly ENSO indexes. The base index was El Niño index Niño-3.4, the sea surface temperature (SST) anomaly averaged over the equatorial box bounded by 5°N, 5°S, 170°W, and 120°W; the authors also constructed indexes based on the nighttime marine air temperature over the Niño-3.4 region (NMAT3.4) and an equatorial Southern Oscillation index (ESOI). The Niño-3.4 index used the “uninterpolated” sea surface temperature data from the Second Hadley Centre Sea Surface Temperature dataset (HadSST2), a dataset with smaller uncertainty and better geographical coverage than others. In constructing the index, data at each point for a given month were weighted to take into account the typical considerable spatial variation of the SST anomaly over the Niño-3.4 box as well as the number of observations at that point for that month. Missing monthly data were interpolated and “noise” was reduced by using the result that Niño-3.4 has essentially the same calendar month amplitude structure every year. This 12-point calendar month structure from April to March was obtained by an EOF analysis over the last 58 yr and then was fitted to the entire monthly time series using a least squares approach. Equivalent procedures were followed for NMAT3.4 and ESOI. The new ESOI uses Darwin atmospheric pressure in the west and is based on theory that allows for variations of the atmospheric boundary layer depth across the Pacific. The new Niño-3.4 index was compared with NMAT3.4, the new ESOI, and with a record of δ18O from a coral at Palmyra, an atoll inside the region Niño-3.4 (Cobb et al.). Correlation coefficients between Niño-3.4 and the three monthly indexes mentioned above before 1950 are 0.84, 0.87, 0.73 and 0.93, 0.86, 0.73 for decadal time scales. These relatively high correlation coefficients between physically related but independent monthly time series suggest that this study has improved knowledge of low-frequency variability. All four indexes are consistent with a rise in Niño-3.4 SST and the weakening of the equatorial Pacific winds since about 1970.

CYCLIC RECORD OF SEA-SURFACE TEMPERATURE AND SEA LEVEL DURING THE VISEAN (CARBONIFEROUS) OF GREAT BRITAIN

2017 ◽  
Author(s):  
Kristen K. Shaver ◽  
◽  
David Bajnai ◽  
Alyssa M. Davis ◽  
Amir H. Zaky ◽  
...  
Keyword(s):  
Great Britain ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Sea Level ◽  
Sea Surface ◽  
And Sea Level
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