Forecasting Fire Season Severity in South America Using Sea Surface Temperature Anomalies-Reference-Cited by-同舟云学术

Forecasting Fire Season Severity in South America Using Sea Surface Temperature Anomalies

Published:2011-11-11 Issue:6057 Volume:334 Page:787-791
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Chen Yang¹,Randerson James T.¹,Morton Douglas C.²,DeFries Ruth S.³,Collatz G. James²,Kasibhatla Prasad S.⁴,Giglio Louis⁵,Jin Yufang¹,Marlier Miriam E.⁶

Affiliation:

1. Department of Earth System Science, University of California, Irvine, CA 92697, USA.

2. NASA Goddard Space Flight Center, Biospheric Sciences Branch, Greenbelt, MD 20771, USA.

3. Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027, USA.

4. Nicholas School of the Environment, Duke University, Durham, NC 27708, USA.

5. Department of Geography, University of Maryland, College Park, MD 20742, USA.

6. Department of Earth and Environmental Sciences, Columbia University, New York, NY 10027, USA.

Abstract

Sea surface temperature anomalies can predict annual fire season severity in South America up to 3 to 5 months in advance.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference34 articles.

1. A Large and Persistent Carbon Sink in the World’s Forests

2. CO2 emissions from forest loss

3. Regional Impacts of Future Land-Cover Changes on the Amazon Basin Wet-Season Climate

4. Amazon Deforestation and Climate Change

5. Fire science for rainforests

Cited by 189 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Impacts of Atlantic and Pacific Multidecadal Variability on South American Precipitation and Temperature in the CESM Simulations and Observations;Journal of Geophysical Research: Atmospheres;2024-06-26

2. Moderate Indian Ocean Dipole dominates spring fire weather conditions in southern Australia;Environmental Research Letters;2024-05-31

3. Dynamics of Hydrological Drought: Unveiling the Impact of Groundwater and El Niño Events on Forest Fires in the Amazon;2024

4. Statistical Method and Deep Learning Model for Sea Surface Temperature Prediction;Journal of the Korean Society of Marine Environment and Safety;2023-10-30

5. Estimating the effects of meteorology and land cover on fire growth in Peru using a novel difference equation model;Natural Hazards and Earth System Sciences;2023-07-24