Earth Science Publications in 2013

Publication Citation

• Ambrosia, V., et al. (2013), The Ikhana unmanned airborne system (UAS) western states, Geocarto International Journal, 26, 85-101, doi:10.1080/10106049.2010.539302.
• Bala, G., et al. (2013), Trends and Variability of AVHRR-Derived NPP in India, Remote Sensing, 5, 810-829, doi:10.3390/rs5020810.
• Bala, G., et al. (2013), Variability of AVHRR-Derived NPP in India. Remote Sensing, 5 (2), 810-829, doi:10.3390/rs5020810.
• Bardeen, C., et al. (2013), Improved cirrus simulations in a general circulation model using CARMA sectional microphysics., O. Toon.. Improved cirrus simulations in a general circulation model using CARMA sectional microphysics. J. Geophys, Res.: Atmospheres, 118 (20), 118, 11,679-11,697, doi:10.1002/2013JD020193.
• Baustian, K., et al. (2013), State transformations and ice nucleation in amorphous (semi-)solid organic aerosol, Atmos. Chem. Phys., 13, 5615-5628, doi:10.5194/acp-13-5615-2013.
• Bergman, J., et al. (2013), Boundary layer sources for the Asian anticyclone, J. Geophys. Res., 118, 2560-2575, doi:10.1002/jgrd.50142.
• Capece, M., et al. (2013), Polyextremophiles and the constraints for terrestrial habitability, Polyextremophiles, Microorganisms and macroorganisms living under multiple forms of stress, ed. J. Seckback. Springer (submitted).
• Chatfield, R., et al. (2013), Ozone Monitoring Instrument (OMI) multi satellite observations, Iss., 63, 1434-1446.
• Choi, S., et al. (2013), Resource Limitations Model of Tree Heights, Remote Sens., 5, 284-306, doi:10.3390/rs5010284.
• Cziczo, D., et al. (2013), Clarifying the Dominant Sources and Mechanisms of Cirrus Cloud Formation, Science, 340, 1320-1324.
• Dean-Day, J., T. P. Bui, and C. Chang (2013), An intercomparison of the NASA DC-8 MMS with the NCAR G-V met system and nearby Vaisala GPS radiosondes, DC3 Science Team Meeting, Feb. 25-28, Boulder, CO (submitted).
• Dunagan, S. E., et al. (2013), Spectrometer for Sky-Scanning Sun-Tracking Atmospheric Research (4STAR): Instrument Technology, Remote Sens., 5, 3872-3895, doi:10.3390/rs5083872.
• Hashimoto, H., et al. (2013), Structural Uncertainty in Model-Simulated Trends of Global Gross Primary Production. Remote Sensing, Remote Sensing, 5, 1258-1273, doi:10.3390/rs5031258.
• Jensen, E., et al. (2013), Physical processes controlling ice concentrations in synoptically-forced, J. Geophys. Res., 118, 5348-5360, doi:10.1002/jgrd.50421.
• Jensen, E., et al. (2013), Ice nucleation and dehydration in the Tropical Tropopause Layer, Proc. Natl. Acad. Sci., doi:10.1073/pnas.1217104110.
• Johnson, M. S., and N. Meskhidze (2013), Atmospheric dissolved iron deposition to the global oceans: effects of oxalate-promoted Fe dissolution, photochemical redox cycling, and dust mineralogy, Geosci. Model Dev. Discuss., 6, 1-47, doi:10.1002/jgrd.50421.
• Kim, D., et al. (2013), The effect of the dynamic surface bareness on dust source function, emission, and distribution, J. Geophys. Res., 118, 1-16, doi:10.1029/2012JD017907.
• Laurent, O., et al. (2013), Green spaces and pregnancy outcomes in Southern California, Health & Place, 24, 190-195.
• Livingston, J. M., et al. (2013), Comparison of MODIS 3 km and 10 km resolution aerosol optical depth retrievals over land with airborne sunphotometer measurements during ARCTAS summer 2008, Atmos. Chem. Phys. Discuss., 13, 15007-15059.
• Meskhidze, N., et al. (2013), Production mechanisms, number concentration, size distribution, chemical composition, and optical properties of sea spray aerosols, Royal Meteorological Society, I, doi:10.1002/asl2.441.

• Newcomer, M., et al. (2013), Estuarine sediment deposition during wetland restoration: A GIS and remote sensing modeling approach, Geocarto Intl., 29, 451-467, doi:10.1080/10106049.2013.798356.
• Ottaviani, M., et al. (2013), Information content of aerosol retrievals in the sunglint region, Geophys. Res. Lett., 40, 631-634, doi:10.1002/grl.50148.
• Peterson, D., et al. (2013), A sub-pixel-based calculation of fire radiative power from MODIS observations: 1 Algorithm development and initial assessment, Remote Sensing of Environment, 129, 262-279, doi:10.1016/j.rse.2012.10.036.
• Pike, A., et al. (2013), Forecasting river temperatures in real time using a stochastic dynamics approach., Water Resources Research, 49, 5168-5282, doi:10.1002/wrcr.20389.
• Potter, C. (2013), Ten years of vegetation change in northern California marshlands detected using Landsat satellite image analysis, Journal of Water Resource and Protection, 5, 485-494, doi:10.4236/jwarp.2013.55048.
• Potter, C. (2013), Ten years of land cover change on the California coast detected using Landsat satellite image analysis: Part 2 – San Mateo and Santa Cruz counties, Journal of Coastal Conservation, doi:10.1007/s11852-013-0270-3.
• Potter, C. (2013), Ten years of land cover change on the California coast detected using Landsat satellite image analysis: Part 1 – Marin and San francisco counties, Journal of Coastal Conservation, doi:10.1007/s11852-013-0255-2.
• Potter, C., et al. (2013), Changes in the Terrestrial Carbon Cycle of China during the 2010 Drought, Journal of Earth Science & Climatic Change, 4, 141, doi:10.4172/2157-7617.1000141.
• Potter, C., et al. (2013), Changes in the terrestrial carbon cycle of China during the 2010 drought, Journal of Earth Science Climate Change, 4, 141, doi:10.4172/2157-7617.1000141.
• Potter, C., et al. (2013), Forest production predicted from satellite image analysis for the Southeast Asia region, Carbon Balance and Management, 8, 9.
• Potter, C., S. Klooster, and V. Brooks-Genovese (2013), Alaska ecosystem carbon fluxes estimated from 3 MODIS satellite data inputs from 2000 to 2010, Carbon Balance and Management, 8, 12.
• Potter, C., S. Li, and R. Crabtree (2013), Changes in Alaskan Tundra Ecosystems Estimated from MODIS Greenness Trends, 2000 to 2010, Journal of Geophysics & Remote Sensing, 2, 107, doi:10.4172/2169-0049.1000107.
• Randel, W., and E. Jensen (2013), Physical processes in the tropical tropopause layer and their roles in a changing climate, Nature Geoscience, 6, 169-176, doi:10.1038/ngeo1733.
• Segal-Rozenhaimer, M., et al. (2013), Retrieval of cirrus properties by Sun photometry: A new perspective on an old issue, J. Geophys. Res., 118, 4503-4520, doi:10.1002/jgrd.50185.
• Seigel, R. B., S. van den Heever, and S. Saleeby (2013), Mineral dust indirect effects and cloud radiative feedbacks of a simulated idealized nocturnal squall line, Atmos. Chem. Phys., 13, 4467-4485, doi:10.5194/acp-13-4467-2013.
• Shi, Y., et al. (2013), Allometric Scaling and Resource Limitations Model fo Tree Heights: Part 1. Model Optimization and Testing over Continental USA, Remote Sens., 5, 284-306, doi:10.3390/rs5010284.
• Shinozuka, Y., et al. (2013), Hyperspectral aerosol optical depths from TCAP flights, J. Geophys. Res., 118, 12,180-12,194, doi:10.1002/2013JD020596.
• Small, C., and C. Milesi (2013), Multi-scale standardized spectral mixture models, Remote Sensing of Environment, 136, 442-454, doi:10.1016/j.rse.2013.05.024.
• Sorek-Hamer, M., et al. (2013), Improved retrieval of PM2.5 from satellite data products using non-linear methods, Environmental Pollution, 182, 417-423.
• Thrasher, B., et al. (2013), Downscaled Climate Projections Suitable for Resource Management. , EOS, 94, 321-323, doi:10.1002/2013EO370002.
• Tuck, A. F., et al. (2013), Molecular velocity distributions and generalized scale invariance in the turbulent atmosphere, Faraday Discussions, 130, 181-193, doi:10.1039/b410551f.
• Turner, D. D., et al. (2013), A large proportion of North American net ecosystem production is offset by emissions from harvested products, river/stream evasion, and biomass burning. Global Change Biology, 19, 3516-3528, doi:10.1111/gcb.12313.
• Ueyama, R., et al. (2013), The Role of High-Latitude Waves in the Intraseasonal to Seasonal Variability of Tropical Upwelling in the Brewer-Dobson Circulation., J. Atmos. Sci., 70, 1631-1648, doi:10.1175/JAS-D-12-0174.1.
• Xu, L., et al. (2013), Temperature and vegetation seasonality diminishment over northern lands, vegetation seasonality diminishment over northern lands. Nature: Climate Change, 3, 581-586, doi:DOI: 10.1038/nclimate1836.
• Yasunari, T. J., et al. (2013), Estimated range of black carbon dry deposition and the related snow albedo reduction over Himalayan glaciers during dry pre-monsoon periods, Atmos. Environ., 78, 259-267, doi:10.1016/j.atmosenv.2012.03.031.
• Yates, E., et al. (2013), Airborne observations and modeling of springtime stratosphere-to-troposphere transport over California, Atmos. Chem. Phys., 13, 12481-12494, doi:10.5194/acp-13-12481-2013.
• Yi, Y., et al. (2013), Recent climate and fire disturbance impacts on boreal and arctic ecosystem productivity estimated using a satellite-based terrestrial carbon flux model., J. Geophys. Res., 118, 606-622, doi:doi/10.1002/jgrg.20053.
• Yu, H., et al. (2013), A multi-model assessment of the influence of regional anthropogenic emission reductions on aerosol direct radiative forcing and the role of intercontinental transport, J. Geophys., Res, 118, 700-720, doi:10.1029/2012JD018148.
• Zhai, P., et al. (2013), Uncertainty and interpretation of aerosol remote sensing due to vertical inhomogeneity, J. Quant. Spectrosc. Radiat. Transfer, 114, 91-100, doi:10.1016/j.jqsrt.2012.08.006