Discipline: Ecology Environmental and Earth Sciences
Subcategory: Geosciences and Earth Sciences
Farjana Shati - New York City College of Technology
Co-Author(s): Satya Prakash and Hamid Norouzi, New York City College of Technology, New York
Determining reliable estimation of near-surface air temperature, land surface temperature, and soil temperature are crucial for the global climate system, global energy budget, study of land surface processes, numerical modeling of weather and climate, and land surface model data assimilation. Earlier studies have shown that the difference between soil temperature and surface air temperature is critical for high-latitude freeze and thaw states detection, which play vital role for the global climate system, surface energy budget, hydrological activities, vegetation dynamics, terrestrial carbon budgets, and land-atmosphere trace gas exchange. The differences among these three distinct types of temperature are very important for various applications. In the previous study of this research, the analysis of surface air temperature and soil temperature for a three-year period (2013-2015) from ground observations showed a notable difference. The results reveal that differences are higher during the daytime than the nighttime. Moreover, seasonal effects are seen in differences between air temperature and surface temperature with maximum differences when the transition from freezing to thawing occurs in cold regions. The purpose of this study is to assess the differences among the surface air temperature, land surface temperature and soil temperature over high-latitude regions using satellite- and ground-based observations. The difference between surface air temperature and land surface temperature were assessed during precipitation and non-precipitation condition using Atmospheric Infrared Sounder (AIRS) data aboard the Aqua satellite and ground observations for a longer period. Additionally, both the temperatures from AIRS are then evaluated against the ground-based observations. The differences are characterized based on different land-cover and vegetation types. Furthermore, diurnal, monthly and seasonal variations are also studied from both types of observations. Results of this study will be beneficial for the development of more accurate freeze/thaw states detection algorithm and for the study the global energy budget.
Funder Acknowledgement(s): This project is supported by the National Science Foundation Research Experiences for Undergraduates Grants #1560050, under the direction of Dr. Reginald A. Blake, Dr. Janet Liou-Mark, and Laura Yuen-Lau and NOAA-CREST CURE program under the direction of Dr. Reza Khanvilbardi and Dr. Shakila Merchant. I appreciate and also thank my mentors Dr. Hamidreza Norouzi, and Dr. Satya Prakash for their guidance, patience, and support throughout this research project.
Faculty Advisor: Hamidreza Norouzi, HNorouzi@CityTech.Cuny.Edu
Role: The work I have done for this research is everything that is explained in the abstract under the guidance and instructions of my mentors.