Selected publication by affiliated faculty and scientists
2019
Anjileli, H., Moftakhari, H. R., Mazdiyasni, O., Norouzi, H., Ashraf, S., Farahmand, A., … & AghaKouchak, A. (2019). Analyzing high‐frequency soil respiration using a probabilistic model in a semiarid, Mediterranean climate. Journal of Geophysical Research: Biogeosciences, 124(3), 509-520.
Beale, C., Norouzi, H., Sharifnezhadazizi, Z., Bah, A. R., Yu, P., Yu, Y., … & Gonzalez-Cruz, J. (2019). Comparison of diurnal variation of land surface temperature from GOES-16 ABI and MODIS instruments. IEEE Geoscience and Remote Sensing Letters, 17(4), 572-576.
Clark, J. B., Neale, P., Tzortziou, M., Cao, F., & Hood, R. R. (2019). A mechanistic model of photochemical transformation and degradation of colored dissolved organic matter. Marine Chemistry, 214, 103666.
Davitt, A., Schumann, G., Forgotson, C., & McDonald, K. C. (2019). The utility of SMAP soil moisture and freeze-thaw datasets as precursors to spring-melt flood conditions: a case study in the Red River of the North Basin. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(8), 2848-2861.
Gallè, F., Krakauer, J. C., Krakauer, N. Y., Valerio, G., & Liguori, G. (2019). Can an exercise-based educational and motivational intervention be durably effective in changing compliance to physical activity and anthropometric risk in people with type 2 diabetes? A follow-up study. International journal of environmental research and public health, 16(5), 701.
Gilerson, A., Carrizo, C., Foster, R., Harmel, T., Golovin, A., El-Habashi, A., … & Wright, T. (2019, May). Total and polarized radiance from the ocean surface from hyperspectral polarimetric imaging. In Ocean Sensing and Monitoring XI (Vol. 11014, p. 110140F). International Society for Optics and Photonics.
Gilerson, A., Carrizo, C., Malinowski, M., Groetsch, P., Foster, R., & Estrella, E. H. (2019, October). Multi-and hyperspectral polarimetric imaging of the ocean surface. In Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019 (Vol. 11150, p. 1115007). International Society for Optics and Photonics.
Gladkova, I., Ignatov, A., Pennybacker, M., & Kihai, Y. (2019, May). Towards high-resolution multi-sensor gridded ACSPO SST product: Reducing residual cloud contamination. In Ocean Sensing and Monitoring XI (Vol. 11014, p. 110140L). International Society for Optics and Photonics.
González, J. E., Ortiz, L., Smith, B. K., Devineni, N., Colle, B., Booth, J. F., … & Rosenzweig, C. (2019). New York City panel on climate change 2019 report chapter 2: New methods for assessing extreme temperatures, heavy downpours, and drought.
Halstead, M. A., Denman, S., Sridharan, S., Tian, Y., & Fookes, C. (2019). Multimodal clothing recognition for semantic search in unconstrained surveillance imagery. Journal of Visual Communication and Image Representation, 58, 439-452.
Herman, J., Abuhassan, N., Kim, J., Kim, J., Dubey, M., Raponi, M., & Tzortziou, M. (2019). Underestimation of column NO 2 amounts from the OMI satellite compared to diurnally varying ground-based retrievals from multiple PANDORA spectrometer instruments. Atmospheric Measurement Techniques, 12(10), 5593-5612.
Hoermann, R., Fui, M. N. T., Krakauer, J. C., Krakauer, N. Y., & Grossmann, M. (2019). A body shape index (ABSI) reflects body composition changes in response to testosterone treatment in obese men. International Journal of Obesity, 43(11), 2210-2216.
Hosannah, N., González, J. E., Lunger, C., & Niyogi, D. (2019). Impacts of local convective processes on rain on the Caribbean Island of Puerto Rico. Journal of Geophysical Research: Atmospheres, 124(12), 6009-6026.
Jamro, S., Dars, G. H., Ansari, K., & Krakauer, N. Y. (2019). Spatio-temporal variability of drought in Pakistan using standardized precipitation evapotranspiration index. Applied Sciences, 9(21), 4588.
Jensen, K., & McDonald, K. (2019). Surface water microwave product series Version 3: a near-real time and 25-year historical global inundated area fraction time series from active and passive microwave remote sensing. IEEE Geoscience and Remote Sensing Letters, 16(9), 1402-1406.
Krakauer, N. Y. (2019). Temperature trends and prediction skill in NMME seasonal forecasts. Climate Dynamics, 53(12), 7201-7213.
Krakauer, N. Y. (2019). Year-ahead predictability of South Asian Summer Monsoon precipitation. Environmental Research Letters, 14(4), 044006.
Krakauer, N. Y., Lakhankar, T., & Dars, G. H. (2019). Precipitation trends over the Indus basin. Climate, 7(10), 116.
Krakauer, N. Y., Lakhankar, T., & Hudson, D. (2019). Trends in drought over the Northeast United States. Water, 11(9), 1834.
Lamb, B. T., Tzortziou, M. A., & McDonald, K. C. (2019). Evaluation of Approaches for Mapping Tidal Wetlands of the Chesapeake and Delaware Bays. Remote Sensing, 11(20), 2366.
Levitan, N., & Gross, B. (2019). Utilizing collocated crop growth model simulations to train agronomic satellite retrieval algorithms. Remote sensing, 10(12), 1968.
Levitan, N., Kang, Y., Özdoğan, M., Magliulo, V., Castillo, P., Moshary, F., & Gross, B. (2019). Evaluation of the Uncertainty in Satellite-Based Crop State Variable Retrievals Due to Site and Growth Stage Specific Factors and Their Potential in Coupling with Crop Growth Models. Remote sensing, 11(16), 1928.
Mannino, A., Novak, M. G., Nelson, N. B., Belz, M., Berthon, J. F., Tzortziou, M., & Blough, N. V. (2019). Measurement protocol of absorption by chromophoric dissolved organic matter (CDOM) and other dissolved materials. Inherent Optical Property Measurements and Protocols: Absorption Coefficient.
Mesquita, Md.S., Orsolini, Y.J., Pal, I., Veldore, V., Li, L., Krishnan, R., Gochis, D., Burkhart, J.F., Honnungar, V., & Panandiker, A. (2019) Challenges in Forecasting Water Resources of the Indus River Basin: Lessons from the Analysis and Modeling of Atmospheric and Hydrological Processes. Chap 2 In: Indus River Basin: Water Security and Sustainability. Eds: Khan S.I. and Adams T.E. Publisher: Elsevier/Academic Press.
Moknatian, M., Piasecki, M., Moshary, F., & Gonzalez, J. (2019). Development of digital bathymetry maps for Lakes Azuei and Enriquillo using sonar and remote sensing techniques. Transactions in GIS, 23(4), 841-859.
Najafabadi, S., Hamidi, A., Allahviranloo, M., & Devineni, N. (2019). Does demand for subway ridership in Manhattan depend on the rainfall events?. Transport Policy, 74, 201-213.
Najafi, E., Pal, I., & Khanbilvardi, R. (2019). Climate drives variability and joint variability of global crop yields. Science of The Total Environment, 662, 361-372.
Najafi, E., Pal, I., & Khanbilvardi, R. (2019). Data of variability and joint variability of global crop yields and their association with climate. Data in brief, 23, 103745.
Najibi, N., Devineni, N., Lu, M., & Perdigão, R. A. (2019). Coupled flow accumulation and atmospheric blocking govern flood duration. npj Climate and Atmospheric Science, 2(1), 1-13.
Ortiz, L. E., González, J. E., Horton, R., Lin, W., Wu, W., Ramamurthy, P., … & Bornstein, R. D. (2019). High‐resolution projections of extreme heat in New York City. International Journal of Climatology, 39(12), 4721-4735.
Petrou, Z. I., & Tian, Y. (2019). Prediction of sea ice motion with convolutional long short-term memory networks. IEEE Transactions on Geoscience and Remote Sensing, 57(9), 6865-6876.
Pokhrel, R., Ortiz, L. E., Ramírez-Beltran, N. D., & González, J. E. (2019). On the climate variability and energy demands for indoor human comfort levels in a tropical-coastal urban environment. Journal of Solar Energy Engineering, 141(3), 031002.
Pokhrel, R., Ramírez-Beltran, N. D., & González, J. E. (2019). On the assessment of alternatives for building cooling load reductions for a tropical coastal city. Energy and Buildings, 182, 131-143.
Pournasiri Poshtiri, M., Pal, I., Lall, U., Naveau, P., & Towler, E. (2019). Variability patterns of the annual frequency and timing of low streamflow days across the United States and their linkage to regional and large‐scale climate. Hydrological Processes, 33(11), 1569-1578.
Prakash, S., & Norouzi, H. (2020). Land surface temperature variability across India: a remote sensing satellite perspective. Theoretical and Applied Climatology, 139(1), 773-784.
Ramírez-Beltrán, N. D., Salazar, C. M., Castro Sánchez, J. M., & González, J. E. (2019). A satellite algorithm for estimating relative humidity, based on GOES and MODIS satellite data. International Journal of Remote Sensing, 40(24), 9237-9259.
Ravindranath, A., Devineni, N., Lall, U., Cook, E. R., Pederson, G., Martin, J., & Woodhouse, C. (2019). Streamflow reconstruction in the upper Missouri River basin using a novel Bayesian network model. Water Resources Research, 55(9), 7694-7716.
Rose, K. C., Neale, P. J., Tzortziou, M., Gallegos, C. L., & Jordan, T. E. (2019). Patterns of spectral, spatial, and long‐term variability in light attenuation in an optically complex sub‐estuary. Limnology and Oceanography, 64(S1), S257-S272.
Ruddick, K. G., Voss, K., Boss, E., Castagna, A., Frouin, R., Gilerson, A., … & Vendt, R. (2019). A review of protocols for fiducial reference measurements of water-leaving radiance for validation of satellite remote-sensing data over water. Remote Sensing, 11(19), 2198.
Schollaert Uz, S., Kim, G. E., Mannino, A., Werdell, P. J., & Tzortziou, M. (2019). Developing a community of practice for applied uses of future PACE data to address marine food security challenges. Frontiers in Earth Science, 7, 283.
Sharifnezhadazizi, Z., Norouzi, H., Prakash, S., Beale, C., & Khanbilvardi, R. (2019). A global analysis of land surface temperature diurnal cycle using MODIS observations. Journal of Applied Meteorology and Climatology, 58(6), 1279-1291.
Stanfield, R. E., Su, H., Jiang, J. H., Freitas, S. R., Molod, A. M., Luo, Z. J., … & Luo, M. (2019). Convective entrainment rates estimated from Aura CO and CloudSat/CALIPSO observations and comparison with GEOS‐5. Journal of Geophysical Research: Atmospheres, 124(17-18), 9796-9807.
Sullivan, J. T., Berkoff, T., Gronoff, G., Knepp, T., Pippin, M., Allen, D., Tzortziou, M., … & McGee, T. J. (2019). The ozone water–land environmental transition study: An innovative strategy for understanding Chesapeake Bay pollution events. Bulletin of the American Meteorological Society, 100(2), 291-306.
Thompson, A. M., Stauffer, R. M., Boyle, T. P., Kollonige, D. E., Miyazaki, K., Tzortziou, M., … & Lamb, B. T. (2019). Comparison of Near‐Surface NO2 Pollution With Pandora Total Column NO2 During the Korea‐United States Ocean Color (KORUS OC) Campaign. Journal of Geophysical Research: Atmospheres, 124(23), 13560-13575.
Upreti, R., Shrestha, A. K., Tripathi, K. M., Shrestha, B., Krakauer, N., Devkota, N. R., … & Thapa, P. (2019). Effect of fruit thinning and defoliation on yield and quality of papaya (Carica papaya) cv. Red Lady in Chitwan. Acta Sci Agric, 3, 130-136.
Xian, Y., & Tian, Y. (2019). Self-guiding multimodal LSTM—when we do not have a perfect training dataset for image captioning. IEEE Transactions on Image Processing, 28(11), 5241-5252.
Ye, Y., Yang, X., & Tian, Y. (2019). Discovering spatio-temporal action tubes. Journal of Visual Communication and Image Representation, 58, 515-524.
Yu, M., González, J., Miao, S., & Ramamurthy, P. (2019). On the Assessment of a Cooling Tower Scheme for High-Resolution Numerical Weather Modeling for Urban Areas. Journal of Applied Meteorology and Climatology, 58(6), 1399-1415.
Zhu, W., Jia, S., Devineni, N., Lv, A., & Lall, U. (2019). Evaluating China’s water security for food production: The role of rainfall and irrigation. Geophysical Research Letters, 46(20), 11155-11166.
Zhu, X., Troy, T. J., & Devineni, N. (2019). Stochastically modeling the projected impacts of climate change on rainfed and irrigated US crop yields. Environmental Research Letters, 14(7), 074021.
Zimmerman, R., Foster, S., González, J. E., Jacob, K., Kunreuther, H., Petkova, E. P., & Tollerson, E. (2019). New York City panel on climate change 2019 report chapter 7: Resilience strategies for critical infrastructures and their interdependencies. Annals of the New York Academy of Sciences, 1439(1), 174-229.