Research Publications

2022 CESSRST Research Publications

Atmospheric Hazards, Coastal Resilience

1. Christiana Sasser, Meilin Yu, Ruben Delgado, Improvement of wind power prediction from meteorological characterization with machine learning models, Renewable Energy, Volume 183, 2022, Pages 491-501,ISSN 0960-1481, https://doi.org/10.1016/j.renene.2021.10.034.
2. William J. Hernández, Julio M. Morell & Roy A. Armstrong(2022)Using high-resolution satellite imagery to assess the impact of Sargassum inundation on coastal areas,Remote Sensing Letters,13:1,24-34,DOI: 10.1080/2150704X.2021.1981558
3. Candace Agonafir, Alejandra Ramirez Pabon, Tarendra Lakhankar, Reza Khanbilvardi, Naresh Devineni, Understanding New York City street flooding through 311 complaints, Journal of Hydrology, Volume 605, 2022,127300, ISSN 0022-1694,https://doi.org/10.1016/j.jhydrol.2021.127300.
4. Molly E Clemens, Alessandra Zuniga, Walter Oechel Am J Enol Vitic. “The Effects of Elevated Atmospheric Carbon Dioxide on the Vineyard System of Vitis vinifera:” A November 2021 ajev.2021.21029; published ahead of print November 11, 2021; DOI: 10.5344/ajev.2021.2102
5. Sthapit, E.; Lakhankar, T.;Hughes, M.; Khanbilvardi, R.; Cifelli, R.; Mahoney, K.; Currier, W.R.; Viterbo, F.; Rafieeinsab, A. Evaluation of Snow and Streamflows Using Noah-MP and WRF-Hydro Models in Aroostook River Basin, Maine. Water 2022, 14, 2145. https://doi.org/10.3390/w14142145
6. Candace Agonafir, Tarendra Lakhankar, Reza Khanbilvardi, Nir Krakauer, Dave Radell, Naresh Devineni, A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints, Computers, Environment and Urban Systems, Volume 97, 2022, 101854, ISSN 0198-9715, https://doi.org/10.1016/j.compenvurbsys.2022.101854.
7. Bah, A.R.; Norouzi, H.; Prakash, S.; Blake, R.; Khanbilvardi, R.; Rosenzweig, C. Spatial Downscaling of GOES-R Land Surface Temperature over Urban Regions: A Case Study for New York City. Atmosphere 2022, 13, 332. https://doi.org/10.3390/atmos13020332
8. Narinesingh, Veeshan, James F. Booth, and Yi Ming. "Blocking and General Circulation in GFDL Comprehensive Climate Models", Journal of Climate 35, 12 (2022): 3687-3703, accessed Nov 23, 2022, https://doi.org/10.1175/JCLI-D-21-0486.1
9. Lei, L., Berkoff, T. A., Gronoff, G., Su, J., Nehrir, A. R., Wu, Y., Moshary, F., and Kuang, S.: Retrieval of UVB aerosol extinction profiles from the ground-based Langley Mobile Ozone Lidar (LMOL) system, Atmos. Meas. Tech., 15, 2465–2478, https://doi.org/10.5194/amt-15-2465-2022, 2022.
10. Tzortziou, M., Kwong, C. F., Goldberg, D., Schiferl, L., Commane, R., Abuhassan, N., Szykman, J. J., and Valin, L. C.: Declines and peaks in NO2 pollution during the multiple waves of the COVID-19 pandemic in the New York metropolitan area, Atmos. Chem. Phys., 22, 2399–2417, https://doi.org/10.5194/acp-22-2399-2022, 2022.
11. Yang, Zhifeng, Belay Demoz, Rubén Delgado, Andrew Tangborn, Pius Lee, and John T. Sullivan. 2022. "The Dynamical Role of the Chesapeake Bay on the Local Ozone Pollution Using Mesoscale Modeling—A Case Study" Atmosphere 13, no. 5: 641. https://doi.org/10.3390/atmos13050641
12. Zhifeng Yang, Belay Demoz, Ruben Delgado, John Sullivan, Andrew Tangborn, Pius Lee, Influence of the transported Canadian wildfire smoke on the ozone and particle pollution over the Mid-Atlantic United States, Atmospheric Environment, Volume 273, 2022,118940,ISSN 1352-2310,https://doi.org/10.1016/j.atmosenv.2022.118940.
13. Gabriel Rios, Prathap Ramamurthy, A novel model to estimate sensible heat fluxes in urban areas using satellite-derived data, Remote Sensing of Environment, Volume 270, 2022, 112880, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2021.112880
14. Menendez, A., Tzortziou, M., Neale, P., Megonigal, P., Powers, L., Schmitt-Kopplin, P., & Gonsior, M. (2022). Strong dynamics in tidal marsh DOC export in response to natural cycles and episodic events from continuous monitoring. Journal of Geophysical Research: Biogeosciences, 127, e2022JG006863. https://doi.org/10.1029/2022JG006863
15. Z.S. Han, J.E. González-Cruz, H.N. Liu, D. Melecio-Vázquez, H. Gamarro, Y.H. Wu, F. Moshary, R. Bornstein, Observed sea breeze life cycle in and around NYC: Impacts on UHI and ozone patterns, Urban Climate, Volume 42, 2022, 101109, ISSN 2212-0955, https://doi.org/10.1016/j.uclim.2022.101109.
16. Plein, J., Clark, R. W., Arndt, K. A., Oechel, W. C., Stow, D., and Zona, D.: Response of vegetation and carbon fluxes to brown lemming herbivory in northern Alaska, Biogeosciences, 19, 2779–2794, https://doi.org/10.5194/bg-19-2779-2022, 2022.
17. Zona, D., Lafleur, P.M., Hufkens, K. et al. Earlier snowmelt may lead to late season declines in plant productivity and carbon sequestration in Arctic tundra ecosystems. Sci Rep 12, 3986 (2022). https://doi.org/10.1038/s41598-022-07561-1
18. Nelson, P. R., Maguire, A. J., Pierrat, Z., Orcutt, E. L., Yang, D., Serbin, S., et al. (2022). Remote sensing of tundra ecosystems using high spectral resolution reflectance: Opportunities and challenges. Journal of Geophysical Research: Biogeosciences, 127, e2021JG006697. https://doi.org/10.1029/2021JG006697
19. Virkkala, A.-M., Natali, S. M., Rogers, B. M., Watts, J. D., Savage, K., Connon, S. J., Mauritz, M., Schuur, E. A. G., Peter, D., Minions, C., Nojeim, J., Commane, R., Emmerton, C. A., Goeckede, M., Helbig, M., Holl, D., Iwata, H., Kobayashi, H., Kolari, P., López-Blanco, E., Marushchak, M. E., Mastepanov, M., Merbold, L., Parmentier, F.-J. W., Peichl, M., Sachs, T., Sonnentag, O., Ueyama, M., Voigt, C., Aurela, M., Boike, J., Celis, G., Chae, N., Christensen, T. R., Bret-Harte, M. S., Dengel, S., Dolman, H., Edgar, C. W., Elberling, B., Euskirchen, E., Grelle, A., Hatakka, J., Humphreys, E., Järveoja, J., Kotani, A., Kutzbach, L., Laurila, T., Lohila, A., Mammarella, I., Matsuura, Y., Meyer, G., Nilsson, M. B., Oberbauer, S. F., Park, S.-J., Petrov, R., Prokushkin, A. S., Schulze, C., St. Louis, V. L., Tuittila, E.-S., Tuovinen, J.-P., Quinton, W., Varlagin, A., Zona, D., and Zyryanov, V. I.: The ABCflux database: Arctic–boreal CO2 flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems, Earth Syst. Sci. Data, 14, 179–208, https://doi.org/10.5194/essd-14-179-2022, 2022
20. Jacopo Agagliate, Mateusz Malinowski, Eder Herrera, Alexander Gilerson, "Polarimetric imaging of the ocean surface for satellite-based ocean color applications," Proc. SPIE 12112, Polarization: Measurement, Analysis, and Remote Sensing XV, 121120I (3 June 2022); https://doi.org/10.1117/12.2622484
21. Abdelkader M, Temimi M, Colliander A, Cosh MH, Kelly VR, Lakhankar T, Fares A. Assessing the Spatiotemporal Variability of SMAP Soil Moisture Accuracy in a Deciduous Forest Region. Remote Sensing. 2022; 14(14):3329. https://doi.org/10.3390/rs14143329
22. L. Ortiz, H. Gamarro, J.E. Gonzalez, T. McPhearson, Energy burden and air conditioning adoption in New York City under a warming climate, Sustainable Cities and Society, Volume 76, 2022, 103465, ISSN 2210-6707, https://doi.org/10.1016/j.scs.2021.103465
23. Hong Z, Moreno HA, Li Z, Li S, Greene JS, Hong Y, Alvarez LV. Triple Collocation of Ground-, Satellite- and Land Surface Model-Based Surface Soil Moisture Products in Oklahoma—Part I: Individual Product Assessment. Remote Sensing. 2022; 14(22):5641. https://doi.org/10.3390/rs14225641
24. Donatella Zona, Peter M. Lafleur, Koen Hufkens, Beniamino Gioli, Barbara Bailey, George Burba, Eugénie S. Euskirchen, Jennifer D. Watts, Kyle A. Arndt, etc, Pan-Arctic soil moisture control on tundra carbon sequestration and plant productivity. “Global Change Biology”. 2022; 29(5), https://doi.org/10.1111/gcb.16487