skip to main content

DOE PAGESDOE PAGES

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

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).
Authors:
 [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)
Publication Date:
OSTI Identifier:
1242966
Grant/Contract Number:
SC0011117
Type:
Accepted Manuscript
Journal Name:
Advances in Meteorology
Additional Journal Information:
Journal Volume: 2016; Journal ID: ISSN 1687-9309
Publisher:
Hindawi
Research Org:
Univ. of Texas at Austin, Austin, TX (United States)
Sponsoring Org:
USDOE Office of Science (SC)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES