Publications

W. F. Lamb; T. Gasser; R. M. Roman-Cuesta; G. Grassi; M. J. Gidden; C. M. Powis; O. Geden; G. F. Nemet; Y. Pratama; K. Riahi; S. M. Smith; J. Steinhauser; N. E. Vaughan; H. Smith; J. C. Minx: Current national proposals are off track to meet carbon dioxide removal needs. In: Nature Climate Change, vol. 14, pp. 1–2, 2024. (Type: Journal Article | Links)

C. A. Whicker-Clarke; R. Antwerpen; M. G. Flanner; A. Schneider; M. Tedesco; C. S. Zender: The Effect of Physically Based Ice Radiative Processes on Greenland Ice Sheet Albedo and Surface Mass Balance in E3SM. In: Journal of Geophysical Research: Atmospheres, vol. 129, no. 7, pp. e2023JD040241, 2024, (e2023JD040241 2023JD040241). (Type: Journal Article | Abstract | Links)

@article{https://doi.org/10.1029/2023JD040241,

title = {The Effect of Physically Based Ice Radiative Processes on Greenland Ice Sheet Albedo and Surface Mass Balance in E3SM},

author = {C. A. Whicker-Clarke and R. Antwerpen and M. G. Flanner and A. Schneider and M. Tedesco and C. S. Zender},

url = {https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2023JD040241},

doi = {https://doi.org/10.1029/2023JD040241},

year  = {2024},

date = {2024-01-01},

journal = {Journal of Geophysical Research: Atmospheres},

volume = {129},

number = {7},

pages = {e2023JD040241},

abstract = {Abstract A significant portion of surface melt on the Greenland Ice Sheet (GrIS) is due to dark ice regions in the ablation zone, where solar absorption is influenced by the physical properties of the ice, light absorbing constituents (LACs), and the overlying crustal surface or melt ponds. Earth system models (ESMs) typically prescribe the albedo of ice surfaces as a constant value in the visible and near-infrared spectral regions. This work advances ESM ice radiative transfer modeling by (a) incorporating a physically based radiative transfer model (SNow, ICe and Aerosol Radiation model Adding-Doubling Version 4; SNICAR-ADv4) into the Energy Exascale Earth System Model (E3SM), (b) determining spatially and temporally varying bare ice physical properties over the GrIS ablation zone from satellite observations to inform SNICAR-ADv4, and (c) assessing the impacts on simulated GrIS albedo and surface mass balance associated with modeling of more realistic bare ice albedo. GrIS-wide bare ice albedo in E3SMv2 is overestimated by ∼4% in the visible and ∼7% in the near-infrared wavelengths compared to the Moderate Resolution Imaging Spectroradiometer. Our bare ice physical property retrieval method found that LACs, ice crustal surfaces, and melt ponds reduce visible albedo by 30% in the bare ice region of the GrIS ablation zone. The realistic bare ice albedo reduces surface mass balance by ∼145 Gt, or 0.4 mm of sea-level equivalent between 2000 and 2021 compared to the default E3SM. This work highlights the importance of simulating bare ice albedo accurately and realistically to improve our ability to quantify changes in the GrIS surface mass and radiative energy budgets.},

note = {e2023JD040241 2023JD040241},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

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A. Phalke; M. Özdoğan; L. H. Filchev: Wheat yield prediction through Earth Observations using neural network and signature extension approach in the cross-border between Bulgaria and Turkey. In: AGU Fall Meeting Abstracts 2024, pp. GC41M–011, 2024. (Type: Proceedings Article | Links)

P. Teluguntla; P. S. Thenkabail; J. Xiong; A. Oliphant; M. K. Gumma; C. Giri; others: Global Food Security Support Analysis Data (GFSAD) Using Remote Sensing in Support of Food and Water Security in the 21st Century: Current Achievements and Future Possibilities. In: Remote Sensing Handbook, Volume III: Water Resources Management and Inland Waters, pp. 187–228, CRC Press, 2024. (Type: Book Section | Links)

M. Özdoğan: Image classification methods in land cover and land use. In: Remote Sensing Handbook, Volume II: Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, pp. 30–49, CRC Press, 2024. (Type: Book Section | Links)

E. E. Başakın; P. C. Stoy; M. C. Demirel; M. Özdoğan; J. A. Otkin: Combined drought index using high-resolution hydrological models and explainable artificial intelligence techniques in Türkiye. In: Remote Sensing, vol. 16, no. 20, pp. 3799, 2024. (Type: Journal Article | Links)

A. R. Phalke; M. Özdoğan; L. H. Filchev: A new remote sensing method to map field-scale time-series wheat without training data in Bulgaria. In: IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IEEE 2024. (Type: Proceedings Article | Links)

M. R. W. Beal; M. Özdoğan; P. J. Block: A machine learning and remote sensing-based model for algae pigment and dissolved oxygen retrieval on a small inland lake. In: Water Resources Research, vol. 60, no. 3, pp. e2023WR035744, 2024. (Type: Journal Article | Links)

M. Jamali; E. Bakhshandeh; B. Yeganeh; M. Özdoğan: Development of machine learning models for estimating wheat biophysical variables using satellite-based vegetation indices. In: Advances in Space Research, vol. 73, no. 1, pp. 498–513, 2024. (Type: Journal Article | Links)

N. Mailloux; V. Limaye; J. A. Patz: Applying Regional and Race/Ethnicity-Specific Health Cost Data to Improve Estimates of the Economic Burden of Air Pollution in the United States. In: AGU Fall Meeting Abstracts 2024, pp. GH44A–02, 2024. (Type: Proceedings Article | )

J. Bratburd; J. A. Patz; S. Whitmee; C. Reglos; S. Ashland; A. Haines; J. Rodin; others: Frameworks and Gap Analysis for Transformative Action to Achieve Health and Carbon Neutrality. In: AGU Fall Meeting Abstracts 2024, pp. GH41D–2727, 2024. (Type: Proceedings Article | )

D. Lsoto; C. Kayan; Y. Li; A. McCord; D. Okure; A. Ndyabakira; D. Okello Ayen; others: The Legacy of Colonial-era Urban Planning on Modern Day Air Quality Disparities in Kampala, Uganda. In: AGU Fall Meeting Abstracts 2024, pp. GH43B–2761, 2024. (Type: Proceedings Article | )

Y. Wu; B. Wen; D. Gasevic; J. A. Patz; A. Haines; K. L. Ebi; V. Murray; S. Li; Y. Guo: Climate change, floods, and human health. In: New England Journal of Medicine, vol. 391, no. 20, pp. 1949–1958, 2024. (Type: Journal Article | Links)

J. A. Patz: Table 5: Effective communication to engage the public (eg, health benefits of addressing climate change). In: APHA 2024 Annual Meeting and Expo, 2024. (Type: Proceedings Article | )

Z. Lokmic-Tomkins; L. Barbour; J. LeClair; J. Luebke; S. L. McGuinness; others: Integrating planetary health education into tertiary curricula: a practical toolbox for implementation. In: Frontiers in Medicine, vol. 11, pp. 1437632, 2024. (Type: Journal Article | Links)

H. Fremont; S. Younkin; A. R. Le Gall; N. Levine; J. Patz: An Analysis of the Health Effects of Physical Activity due to Active Travel Policies in Rennes, France. In: Wellcome Open Research, vol. 9, pp. 154, 2024. (Type: Journal Article | )

S. Younkin; H. Fremont; J. Bratburd; D. De Los Santos; J. Patz: The influence of socioeconomic characteristics on active travel in US metropolitan areas and the contribution to health inequity. In: Wellcome Open Research, vol. 8, pp. 266, 2024. (Type: Journal Article | )

V. J. Stull; J. A. Patz: Agriculture policy. In: Climate change and public health, 2024. (Type: Book Section | )

B. S. Levy; J. A. Patz; H. L. McStowe: Climate change and public health. Oxford University Press, 2024. (Type: Book | )

N. Mailloux; V. Limaye; J. Patz: Applying Local Health Cost Data to Better Estimate the Economic Burden of Air Pollution in the United States. In: 104th Annual AMS Meeting, pp. 439046, 2024. (Type: Proceedings Article | )