ArticleInternational journal of climatology : a journal of the Royal Meteorological Society2021
A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003 to 2019.
Article in International journal of climatology : a journal of the Royal Meteorological Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- A satellite based machine learning approach for estimating high resolution daily average air temperature in a megacity in Brazil.Scientific reports · 2026Article
- Article
- Air pollution, temperature, and HbA1c levels among children in Mexico City, Mexico.Ecotoxicology and environmental safety · 2025Article
- A Machine Learning Model Integrating Remote Sensing, Ground Station, and Geospatial Data to Predict Fine-Resolution Daily Air Temperature for Tuscany, Italy.Remote sensing · 2025Article
- Exposure to daily mean and maximum 1-hour PMEnvironmental epidemiology (Philadelphia, Pa.) · 2025Article
- XIS-temperature: A daily spatiotemporal machine-learning model for air temperature in the contiguous United States.Environmental research · 2025Article
- Prenatal and early life exposure to fine particulate matter and telomere length in early childhood.International journal of hygiene and environmental health · 2025Article
- Windows of susceptibility and joint effects of prenatal and postnatal ambient air pollution and temperature exposure on asthma and wheeze in Mexican children.Environment international · 2024Article
- Association between prenatal and childhood PMEnvironmental epidemiology (Philadelphia, Pa.) · 2024Article
- Recent ambient temperature and fine particulate matter (PMThe Science of the total environment · 2024Article
- Short-term exposure to PMEnvironmental health : a global access science source · 2023Article
- Associations between early-life exposure to PMEnvironmental epidemiology (Philadelphia, Pa.) · 2023Article
- Daily exposure to PMmedRxiv : the preprint server for health sciences · 2023Article
- Urban Stress and its Association with Symptoms of Depression, Fatigue, and Sleep Disruption in Women in Mexico City.Cities & health · 2023Article
- Intermediate- and long-term associations between air pollution and ambient temperature and glycated hemoglobin levels in women of child bearing age.Environment international · 2022Article
- Persistently high incidence rates of childhood acute leukemias from 2010 to 2017 in Mexico City: A population study from the MIGICCL.Frontiers in public health · 2022Article
- A 1-km hourly air-temperature model for 13 northeastern U.S. states using remotely sensed and ground-based measurements.Environmental research · 2021Article
- A spatiotemporal reconstruction of daily ambient temperature using satellite data in the Megalopolis of Central Mexico from 2003 to 2019.International journal of climatology : a journal of the Royal Meteorological Society · 2021Article
- Associations between daily ambient temperature and sedentary time among children 4-6 years old in Mexico City.PloS one · 2020Article
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Authors and funding
6 authors.
Funding
Abstract
While weather stations generally capture near-surface ambient air temperature (Ta) at a high temporal resolution to calculate daily values (i.e., daily minimum, mean, and maximum Ta), their fixed locations can limit their spatial coverage and resolution even in densely populated urban areas. As a result, data from weather stations alone may be inadequate for Ta-related epidemiology particularly when the stations are not located in the areas of interest for human exposure assessment. To address this limitation in the Megalopolis of Central Mexico (MCM), we developed the first spatiotemporally resolved hybrid satellite-based land use regression Ta model for the region, home to nearly 30 million people and includes Mexico City and seven more metropolitan areas. Our model predicted daily minimum, mean, and maximum Ta for the years 2003-2019. We used data from 120 weather stations and Land Surface Temperature (LST) data from NASA's MODIS instruments on the Aqua and Terra satellites on a 1 × 1 km grid. We generated a satellite-hybrid mixed-effects model for each year, regressing Ta measurements against land use terms, day-specific random intercepts, and fixed and random LST slopes. We assessed model performance using 10-fold cross-validation at withheld stations. Across all years, the root-mean-square error ranged from 0.92 to 1.92 K and the
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.