Estimation of air temperature with remote sensing: a case study for the São Paulo Macrometropolitan region

• Grant number: 18/18974-5
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: October 01, 2018
• End date: September 30, 2019
• Field of knowledge: Physical Sciences and Mathematics - Geosciences - Meteorology
• Agreement: Belmont Forum
• Principal Investigator: Humberto Ribeiro da Rocha
• Grantee: Rodrigo Lustosa
• Host Institution: Instituto de Astronomia, Geofísica e Ciências Atmosféricas (IAG). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 15/50682-6 - Climate-smart watershed investments in the montane tropics of South America (ClimateWise), AP.PFPMCG.TEM

Abstract

The air temperature is a climate variable with high social relevance as it controls conditions for human wealth, working and health, mainly in big cities, beyond various other circumstances as agricultural production, water availability in the headwaters for human supply and hydroelectric generation. This proposes aims to build a climatology of air temperature for the macrometropolitan region of Sao Paulo state, that assimilates the influences of natural climate variability and the effects of land cover and topography. The taks include to select satellite images and a set of weather station information (Tm), between 2014 and 2019; to calculate the time series of surface temperature using the radiometric temperature with the SEBAL model, and therefore the estimation of the air temperatura (Ta) using the sensible heat flux calculated with SEBAL; to compare statistically Tm e Ta in a functional relationship Ta = f(Tm), in order to build a regression with the estimated final variable ¯T a, for maximum and minimum daily temperature.