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Title: Interannual variation of the surface temperature of tropical forests from satellite observations

Journal Article · · Advances in Meteorology
DOI:https://doi.org/10.1155/2016/4741390· OSTI ID:1242966
 [1];  [1];  [2];  [3];  [2]
  1. Texas A & M Univ., College Station, TX (United States)
  2. Univ. of Texas at Austin, Austin, TX (United States)
  3. Duke Univ., Duke, NC (United States)
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Land surface temperatures (LSTs) within tropical forests contribute to climate variations. However, observational data are very limited in such regions. This study used passive microwave remote sensing data from the Special Sensor Microwave/Imager (SSM/I) and the Special Sensor Microwave Imager Sounder (SSMIS), providing observations under all weather conditions, to investigate the LST over the Amazon and Congo rainforests. The SSM/I and SSMIS data were collected from 1996 to 2012. The morning and afternoon observations from passive microwave remote sensing facilitate the investigation of the interannual changes of LST anomalies on a diurnal basis. As a result of the variability of cloud cover and the corresponding reduction of solar radiation, the afternoon LST anomalies tend to vary more than the morning LST anomalies. The dominant spatial and temporal patterns for interseasonal variations of the LST anomalies over the tropical rainforest were analyzed. The impacts of droughts and El Niños on this LST were also investigated. Lastly, the differences between early morning and late afternoon LST anomalies were identified by the remote sensing product, with the morning LST anomalies controlled by humidity (according to comparisons with the National Centers for Environmental Prediction (NCEP) reanalysis data).

Research Organization:
Univ. of Texas, Austin, TX (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
SC0011117
OSTI ID:
1242966
Journal Information:
Advances in Meteorology, Vol. 2016; ISSN 1687-9309
Publisher:
HindawiCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 3 works
Citation information provided by
Web of Science

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Assessment of the impacts of climate variability on total water storage across Africa: implications for groundwater resources management journal October 2018

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