@ The University of Oklahoma

Category: Other

Dr. Wang was awarded a single-PI NSF grant

Dr. Wang was recently awarded a single-PI National Science Foundation (NSF) grant. The grant titled “An Integrated Urban Meteorological and Building Stock Modeling Framework to Enhance City-level Building Energy Use Predictions” began on Jan 1, 2024 and is expected to conclude on Dec 31, 2025.

See OU News here: https://www.ou.edu/research-norman/news-events/2024/two-ou-researchers-receive-nsf-epscor-research-fellowships.

Open Ph.D. positions at the SURF Lab (2024 Fall admission) – updated

The Sustainable URban Futures (SURF) Lab in the School of Meteorology and the Department of Geography and Environmental Sustainability at the University of Oklahoma in Norman, Oklahoma, USA is seeking multiple doctoral students who are willing to pursue research in one of the following areas. The expected start date is Aug 2024 (Fall admission).

1. Urban Air Pollution Modeling Position

The SURF Lab is seeking a PhD student to develop and apply an integrated high-resolution pollutant dispersion model over complex terrain (including urban environments), which will be evaluated with field observations. The successful candidate will enroll in the Ph.D. program in Meteorology. For prospective Ph.D. students, a master’s degree in atmospheric science, meteorology, engineering, Earth science, or environmental science is preferred. Candidates with the following experience/expertise are especially encouraged to apply: (1) previous research experience in air pollution modeling, (2) proficiency in programming languages (Matlab, Fortran, R, and/or Python), and/or (3) familiar with geographic information systems.

2. Building Energy Modeling Position

The SURF Lab is seeking a PhD student to work on numerical simulations of building energy use and associated carbon emissions in the urban environment. The successful candidate will enroll in the Ph.D. program in Meteorology or Geography and Environmental Sustainability. For prospective Ph.D. students, a master’s degree in engineering, geography, atmospheric science, meteorology, or Earth science is preferred but not required. Candidates with the following experience/expertise are especially encouraged to apply: (1) previous research experience in developing building energy model(s), and (2) proficiency in programming languages (MATLAB, Fortran, R, and/or Python).

3. Urban Climate Modeling and Analytics Position

The SURF Lab is seeking a PhD student to work on multiscale urban climate models and data analytics. The successful candidate will enroll in the Ph.D. program in Meteorology or Geography and Environmental Sustainability. For prospective Ph.D. students, a master’s degree in atmospheric science, meteorology, geography, engineering, Earth science, or environmental science is preferred but not required. Candidates with experience in using programming languages (e.g., Matlab, Python, R, and/or Fortran), reanalysis data, climate projections, and/or remotely sensed data are especially encouraged to apply.

Successful candidates will work with Dr. Chenghao Wang at the University of Oklahoma. With the strong modeling and/or data analysis skills developed during the training, successful candidates will have the opportunity to work in an interdisciplinary research team and study a wide range of urban issues and challenges as well as potential mitigation and adaptation measures on the path toward sustainable and resilient urban environments.

If you are interested, please contact Dr. Chenghao Wang (chenghao.wang@ou.edu) by Nov 25, 2023 (Fall 2024 admission), and attach (1) a copy of your CV, (2) a brief statement that highlights your interest (and skills and previous research experience when applicable) relevant to the position description, and (3) a copy of unofficial academic transcripts and TOEFL/IELTS/PET/DET transcripts (when applicable). Review of applications will begin immediately and continue until the position is filled.

Admission requirements:

About the SURF Lab:

The Sustainable URban Futures Lab at the University of Oklahoma examines the mechanisms of urban environments, their interactions with regional and global climates, and their impacts on building energy use, carbon emissions, and public health using numerical models and data analytics. Through our interdisciplinary research, we aim to advance the understanding of the urban environment and support more sustainable urban development under global environmental changes. Our research has been funded by multiple agencies including the U.S. Department of Energy (DOE), National Science Foundation (NSF), National Oceanic and Atmospheric Administration (NOAA), National Aeronautics and Space Administration (NASA), and the U.S. Environmental Protection Agency (EPA). Our work has been published in several leading journals such as Nature Aging, Nature Communications, Science Advances, Geophysical Research Letters, Remote Sensing of Environment, Earth’s Future, Building and Environment, and Renewable and Sustainable Energy Reviews. More information about ongoing research can be found here: https://sites.create.ou.edu/chenghaowang/.

About the University of Oklahoma:

Founded in 1890, the University of Oklahoma is a public research university located in Norman, Oklahoma just 20 minutes south of Oklahoma City, one of the top 50 metropolitan areas in the United States. The university is classified among “R1: Doctoral Universities – Very high research activity”. The School of Meteorology is the largest such program in the nation and is routinely ranked near the top of the nation. More information regarding the University of Oklahoma, the School of Meteorology, the Department of Geography and Environmental Sustainability, and available degree programs can be found here: https://sites.create.ou.edu/chenghaowang/about/.

For further information, please contact Dr. Chenghao Wang (chenghao.wang@ou.edu).

A PDF version of this post in English can be downloaded here:

中文版招生简介可从此处下载:

Open Ph.D. positions at the SURF Lab (2024 Fall admission)

The Sustainable URban Futures (SURF) Lab in the School of Meteorology and the Department of Geography and Environmental Sustainability at the University of Oklahoma in Norman, Oklahoma, USA is seeking two doctoral students who are willing to pursue research in the following areas:

1. Urban Air Pollution Modeling Position

The SURF Lab is seeking a self-motivated PhD student to develop and apply an integrated high-resolution pollutant dispersion model over complex terrain (including urban environments), which will be evaluated with field observations. The PhD student will be supported through a project funded by the U.S. Department of Energy through the iM4 Technologies program (Innovative Methane Measurement, Monitoring, and Mitigation Technologies). The successful candidate will enroll in the Ph.D. program in Meteorology and will begin in Fall 2024 (starting in Aug 2024). For prospective Ph.D. students, a master’s degree in atmospheric science, meteorology, engineering, Earth science, or environmental science is preferred. Candidates with the following experience/expertise are especially encouraged to apply: (1) previous research experience in air pollution modeling, (2) proficiency in programming languages (Matlab, Fortran, R, and/or Python), and/or (3) familiar with geographic information systems.

2. Urban Climate Modeling and Analytics Position

The SURF Lab is seeking a self-motivated PhD student to work on multiscale urban climate models and data analytics. The PhD student will be supported through a mixture of GTA and GRA. The successful candidate will enroll in the Ph.D. program in Meteorology or Geography and Environmental Sustainability and will begin in Fall 2024 (starting in Aug 2024). For prospective Ph.D. students, a master’s degree in atmospheric science, meteorology, geography, engineering, Earth science, or environmental science is preferred but not required. Candidates with experience in using programming languages (e.g., Matlab, Python, R, and/or Fortran), reanalysis data, climate projections, and/or remotely sensed data are especially encouraged to apply.

Successful candidates will work with Dr. Chenghao Wang at the University of Oklahoma. With the strong modeling and/or data analysis skills developed during the training, successful candidates will have the opportunity to work in an interdisciplinary research team and study a wide range of urban issues and challenges as well as potential mitigation and adaptation measures on the path toward sustainable and resilient urban environments.

If you are interested, please contact Dr. Chenghao Wang (chenghao.wang@ou.edu) by Nov 10, 2023 (Fall 2024 admission), and attach (1) a copy of your CV, (2) a brief statement that highlights your interest (and skills and previous research experience when applicable) relevant to the position description, and (3) a copy of unofficial academic transcripts and TOEFL/IELTS/PET/DET transcripts (when applicable). Review of applications will begin immediately and continue until the position is filled.

Admission requirements:

About the SURF Lab:

The Sustainable URban Futures Lab at the University of Oklahoma examines the mechanisms of urban environments, their interactions with regional and global climates, and their impacts on building energy use, carbon emissions, and public health using numerical models and data analytics. Through our interdisciplinary research, we aim to advance the understanding of the urban environment and support more sustainable urban development under global environmental changes. Our research has been funded by multiple agencies including the U.S. Department of Energy (DOE), the National Science Foundation (NSF), and the National Oceanic and Atmospheric Administration (NOAA). Our work has been published in several leading journals such as Nature Aging, Nature Communications, Science Advances, Geophysical Research Letters, Remote Sensing of Environment, Earth’s Future, Building and Environment, and Renewable and Sustainable Energy Reviews. More information about ongoing research can be found here: https://sites.create.ou.edu/chenghaowang/.

About the University of Oklahoma:

Founded in 1890, the University of Oklahoma is a public research university located in Norman, Oklahoma just 20 minutes south of Oklahoma City, one of the top 50 metropolitan areas in the United States. The university is classified among “R1: Doctoral Universities – Very high research activity”. The School of Meteorology is the largest such program in the nation and is routinely ranked near the top of the nation. More information regarding the University of Oklahoma, the School of Meteorology, the Department of Geography and Environmental Sustainability, and available degree programs can be found here: https://sites.create.ou.edu/chenghaowang/about/.

For further information, please contact Dr. Chenghao Wang (chenghao.wang@ou.edu).

A PDF version of this post in English can be downloaded here:

中文版招生简介可从此处下载:

Yuqi Huang joined our group. Welcome!

Yuqi Huang recently joined the Sustainable URban Futures (SURF) Lab as a Ph.D. student majoring in Meteorology. Welcome!

Before coming to OU, Yuqi completed his master’s degree in civil engineering at Beijing Normal University, China. His previous research focused on understanding and modeling the physical, hydrological, and ecological processes of inland water bodies and the response of aquatic ecosystems to climate change.

Yuqi has an interest in interdisciplinary subjects across hydrology, meteorology, and statistics. His Ph.D. research will focus on understanding and improving the predictive capability of urban hydrometeorological and climate simulations across multiple spatial scales.

Open Ph.D. positions at the SURF Lab (2024 Spring or Fall admission)

The Sustainable URban Futures (SURF) Lab in the School of Meteorology and the Department of Geography and Environmental Sustainability at the University of Oklahoma in Norman, Oklahoma, USA is seeking two doctoral students who are willing to pursue research in the following areas:

1. Urban Air Pollution Modeling Position:

The SURF Lab is seeking a self-motivated Ph.D. student to develop and apply an integrated high-resolution pollutant dispersion model over complex terrain (including urban environments), which will be evaluated with field observations. The Ph.D. student will be supported through a project funded by the U.S. Department of Energy through the iM4 Technologies program (Innovative Methane Measurement, Monitoring, and Mitigation Technologies). The successful candidate will enroll in the Ph.D. program in Meteorology and will begin in Spring 2024 (starting in Jan 2024) or Fall 2024 (starting in Aug 2024). For prospective Ph.D. students, a master’s degree in atmospheric science, meteorology, engineering, Earth science, or environmental science is preferred. Candidates with the following experience/expertise are especially encouraged to apply: (1) previous research experience in air pollution modeling, (2) proficiency in programming languages (Matlab, Fortran, and/or Python), and/or (3) familiar with geographic information systems.

2. Urban Climate Position:

The SURF Lab is seeking a self-motivated Ph.D. student to work on multiscale urban climate models and/or urban climate data analytics. The Ph.D. student will be supported through a mixture of GTA and GRA. The successful candidate will enroll in the Ph.D. program in either Meteorology or Geography and Environmental Sustainability and will begin in Spring 2024 (starting in Jan 2024) or Fall 2024 (starting in Aug 2024). For prospective Ph.D. students, a master’s degree in atmospheric science, meteorology, geography, engineering, Earth science, or environmental science is preferred but not required. Candidates with experience in using programming languages (e.g., Matlab, Python, R, and/or Fortran), geographic information systems, climate projections, and/or remotely sensed data are especially encouraged to apply.

Successful candidates will work with Dr. Chenghao Wang at the University of Oklahoma. With the strong modeling and/or data analysis skills developed during the training, successful candidates will have the opportunity to work in an interdisciplinary research team and study a wide range of urban issues and challenges as well as potential mitigation and adaptation measures on the path toward sustainable and resilient urban environments.

If you are interested, please contact Dr. Chenghao Wang (chenghao.wang@ou.edu) by Sep 1, 2023 (Spring 2024 admission) or Nov 1, 2023 (Fall 2024 admission), and attach (1) a copy of your CV, (2) a brief statement that highlights your interest (and skills and previous research experience when applicable) relevant to the position description, and (3) a copy of unofficial academic transcripts and TOEFL/IELTS/PET/DET transcripts (when applicable). Review of applications will begin immediately and continue until the position is filled.

Admission requirements:

About the SURF Lab:

The Sustainable URban Futures Lab at the University of Oklahoma examines the mechanisms of urban environments, their interactions with regional and global climates, and their impacts on building energy use, carbon emissions, and public health using numerical models and data analytics. Through our interdisciplinary research, we aim to advance the understanding of the urban environment and support more sustainable urban development under global environmental changes. Our research has been funded by multiple agencies including the U.S. Department of Energy (DOE), the National Science Foundation (NSF), and the National Oceanic and Atmospheric Administration (NOAA). More information about ongoing research can be found here: https://sites.create.ou.edu/chenghaowang/.

About the University of Oklahoma:

Founded in 1890, the University of Oklahoma is a public research university located in Norman, Oklahoma just 20 minutes south of Oklahoma City, one of the top 50 metropolitan areas in the United States. The university is classified among “R1: Doctoral Universities – Very high research activity”. The School of Meteorology is the largest such program in the nation and is routinely ranked near the top of the nation. More information regarding the University of Oklahoma, the School of Meteorology, the Department of Geography and Environmental Sustainability, and available degree programs can be found here: https://sites.create.ou.edu/chenghaowang/about/.

For further information, please contact Dr. Chenghao Wang (chenghao.wang@ou.edu).

Sarah Henry successfully completed her REU project. Congratulations!

Sarah Henry has recently accomplished a successful National Weather Center REU project. Congratulations, Sarah!

Sarah delivering her work at the final presentation on Aug 21, 2023.

Throughout a 10-week journey, she investigated the spatial and temporal patterns of compound heat wave and particle pollution episodes in the urban environment across the contiguous U.S. (CONUS). Based on geospatial analyses of nighttime air temperature and daily PM2.5 concentration data, she found that, compared to rural surroundings, the majority of urban areas in the CONUS experienced more frequent, more intense, and longer-lasting heat waves, PM2.5 pollution days, as well as the compound episodes. Regionally, the Northeast and Ohio Valley exhibited the highest frequency of compound heat and pollution events, while the Northeast, Ohio Valley, and Southeast showed the longest durations of these events. Furthermore, the West and Southwest regions had the highest heat intensity during compound events, while the Northeast, Ohio Valley, and Southeast experienced the highest pollution intensity. Sarah’s research offers a pioneering perspective on compound heat and pollution episodes in U.S. cities, providing valuable insights for future investigations in this field.

Fig. 6. Regional comparison of compound events (CEs) frequency, heat intensity, pollution intensity, and duration for UAs and RAs based on NOAA’s 9 climate regions: Northeast (NE), South (S), Ohio Valley (OV), Southeast (SE), Northwest (NW), Southwest (SW), Upper Midwest (UM), West (W), and Northern Rockies and Plains (NRP). Red dashed line indicates Rural Area (RA) average, and blue dashed line indicates Urban Area (UA) average. The center line of each box is the median, the box extends from lower to upper quartiles, vertical lines denote 1.5 times the interquartile range, and diamonds are outliers.

Her final paper titled “Compound Heat Wave and PM2.5 Pollution Episodes in U.S. Cities” has been posted on arXiv (https://doi.org/10.48550/arXiv.2307.15296) and is also available on REU’s website.

The REU program is funded by the National Science Foundation under Grant No. AGS-2050267. More information about REU and how to apply can be found here.

New course for spring 2023 – Urban Climatology!

Dr. Chenghao Wang will teach a new course, GEOG/METR 4970-004: Urban Climatology, in spring 2023.

We are seeking Ph.D. students to join our lab!

The Sustainable URban Futures (SURF) Lab in the School of Meteorology and the Department of Geography and Environmental Sustainability at the University of Oklahoma in Norman, Oklahoma, USA is seeking self-motivated doctoral students who are willing to pursue research in the areas of urban climate and urban meteorology. The successful candidate will enroll in the Ph.D. program in either Meteorology or Geography and Environmental Sustainability.

For prospective Ph.D. students, a master’s degree in meteorology, atmospheric science, geography, engineering, Earth science, or environmental science is preferred but not required. Candidates with experience in using programming languages, geographic information system, and/or remote sensing products are especially encouraged to apply. Successful candidates will work with Dr. Chenghao Wang and his collaborators at the University of Oklahoma and other research institutes. With the strong modeling and/or data analysis skills developed during the training, successful candidates will have the opportunity to study a wide range of urban issues and challenges as well as potential mitigation and adaptation measures on the path toward sustainable and resilient urban environments, and eventually to push the boundaries of our knowledge about past, present, and future cities.

If you are interested, please contact Dr. Chenghao Wang (chenghao.wang@ou.edu) by Oct 15, 2022 and attach (1) a copy of your CV, (2) a brief statement that highlights your interest (and skills and previous research experience, if applicable) relevant to the Sustainable URban Futures (SURF) Lab, and (3) a copy of unofficial academic transcripts. Review of applications will begin immediately and continue until the position is filled.

Founded in 1890, the University of Oklahoma is a public research university located in Norman, Oklahoma just 20 mins. south of Oklahoma City, one of the top 50 metropolitan areas in the United States. The university is classified among “R1: Doctoral Universities – Very high research activity”. More information regarding the University of Oklahoma, the School of Meteorology, the Department of Geography and Environmental Sustainability, and available degree programs can be found https://sites.create.ou.edu/chenghaowang/about/.

For further information, please contact Dr. Chenghao Wang.

A PDF version of this post in English can be downloaded here

中文版招生简介可从此处下载

We are organizing a Special Issue “Using Remote Sensing and GIS Technique/Methods to Address Current Urbanization Issues” in Remote Sensing

We are running a Special Issue entitled “Using Remote Sensing and GIS Methods to Study Current Urbanization Issues” with the journal Remote Sensing (IF: 5.349, ISSN 2072-4292). This special issue belongs to the section “Urban Remote Sensing“. The guest editors for this issue are Dr. Zutao Ouyang from Stanford University, Dr. Chenghao Wang from the University of Oklahoma, and Dr. Peilei Fan from Michigan State University. The submission deadline is April 30, 2023.

Further details on this Special Issue and how to submit can be found here: https://www.mdpi.com/journal/remotesensing/special_issues/Y602B3CNT6.

The increase in the number of people living in urban areas, the proliferation of megacities, and the pervasive expansion of per-urban areas are some of the most challenging transformations in the 21st century. The complexity of urbanization imposes intertwined social, economic, and environmental impacts. While urbanization can achieve social and economic benefits, such as improved education, job opportunities, and healthcare, it also brings numerous negative ecological and social consequences, such as increasing the cost of living and social and economic inequality, deforestation, loss of natural habitat and biodiversity, soil, air, and water pollution, increased emission of greenhouse gases, heat island effect, and increased risk of disease. Therefore, it is imperative to create a sustainable urban environment that reconciles the conflicts between human and natural systems and reduces the negative impacts of the urbanization process. Remote sensing techniques could provide a “unique view” of the urban landscape. When combined with GIS-based spatial analysis, it can serve as a powerful tool to study processes and patterns of urbanization, drivers and impacts of urbanization, and the coupled human and natural systems embedded in urban ecosystems.

The main objective of this Special Issue shall be to provide a scientific forum for advancing the successful implementation of remote sensing (RS) technologies and geographic information system (GIS)-based methods towards urbanization issues and the peri-urban environment and to foster informed debates among scientists and stakeholders on the environmental issues prevalent therein, relating these to city growth dynamics.

This Special Issue will provide readers in the fields of GIS, remote sensing, Earth science, environmental science, and computer science with theoretical and practical advances in urbanization-related research. Topics of research articles, or reviews, submitted to this Special Issue include, but are not limited to:

  • Integration of remote sensing data for urban environmental analysis.
  • Novel remote sensing applications (new sensors, new methodology, etc.) in urban ecology and sustainability.
  • Tracking urban growth and land use change with remote sensing technologies and GIS tools.
  • Remote sensing and GIS analysis informing/supporting urban and peri-urban governance and planning.
  • Landscape ecological analysis.
  • Urban growth and fringe development.
  • Water, river, and lake monitoring in and surrounding urban areas.
  • Relations between urban growth and climate change.
  • Social and environmental justice issues relevant to urban residents.
  • Impacts and mitigation of urban heat.

Powered by WordPress & Theme by Anders Norén