Earth Science Publications in 2014

Publication Citation​

• Ambrosia, V., and T. Zajkowski (2014), Selection of Appropriate Class UAS/Sensors to Support Fire Monitoring, Real-Life Experiences in the US, Handbook of Unmanned Aerial Vehicles, edited by K. P. Valavanis and G. J. Vachtsevanos. New York: Springer Verlag; ISBN 978-9048197064.
• Bergman, J., et al. (2014), Analyzing dynamical curculations in the tropical tropopause layer through empirical predictions of cirrus cloud distributions, J. Geophys. Res., 119, 2831-2845, doi:10.1002/2013JD021295.
• Chatfield, R., and R. F. Esswein (2014), True Emission Factors for Western Forest Fires: Better Estimation and Usage, Long Beach, California, Proceedings of A&WMA’s 107th Annual Conference, 107, 27-31.
• Chin, M., et al. (2014), Multi-decadal aerosol variations from 1980 to 2009: a perspective from observations and a global model, Atmos. Chem. Phys., 14, 3657-3690, doi:10.5194/acp-14-3657-2014.
• Cumbers, J., and L. Rothschild (2014), Salt tolerance and polyphyly in the cyanobacterium Chroococcidiopsis (Pleurocapsales), J. of Phycology, 50, 472-482, doi:10.1111/jpy.12169.
• Dahlgren, R. P., et al. (2014), Comparison of the stress-stimulated current of dry and fluid saturated gabbro samples, Bulletin of the Seismological Society of America, 104, 2662-2672, doi:10.1785/0120140144.
• Fischer, E., et al. (2014), Atmospheric peroxyacetyl nitrate (PAN): a global budget and source attribution, Atmos. Chem. Phys., 14, 2679, doi:10.5194/acp-14-2679-2014.
• French, A., et al. (2014), Know Your Community: Sensor-Based Water Management, Agronomy News, 59, 28-29, doi:10.2134/csa2014-59-4-2.
• Ganguly, S., et al. (2014), Green Leaf Area and Fraction of Photosynthetically Active Radiation Absorbed by Vegetation, Biophysical Applications Satellite Remote Sensing. Berlin/Heidelberg: Springer Verlag, 43-61, doi:10.1007/978-3-642-25047-7_2.
• Gantt, B., et al. (2014), Implementing marine organic aerosols in the GEOS-Chem model, Geosci. Model Dev. Discuss., 7, 5965-5965, doi:10.5194/gmdd-7-5965-2014.
• Herman, R. L., et al. (2014), Aircraft validation of Aura Tropospheric Emission Spectrometer retrievals of HDO / H2O, Atmos. Meas. Tech., 7, 3127-3138, doi:10.5194/amt-7-3127-2014.
• Hinkley, E., V. Ambrosia, and S. Wegener (2014), Unmanned Aircraft Systems in Environmental Monitoring Applications, Chap. 8, in Autonomous Technologies: Applications that Matter, edited by W. Messner. Warrendale, PA: SAE International, 138-156.
• Igel, M., et al. (2014), Convective-scale responses of a large-domain, modelled tropical environment to surface warming, Q. J. R. Meteorol. Soc., 140, 1333-1343, doi:10.1002/qj.2230.
• Igel, A. L., and S. van den Heever (2014), The role of latent heating in warm frontogenesis, Q. J. R. Meteorol. Soc., 140, 139-150, doi:10.1002/qj.2118.
• Jagermeyr, J., et al. (2014), A high-resolution approach to estimating ecosystem respiration at continental scales using operational satellite data, Global Change Biology, 20, 1191-1210, doi:10.1111/gcb.12443.
• Johnson, M. S., et al. (2014), Analyzing source apportioned methane in northern California during Discover-AQ-CA using airborne measurements and model simulations, Atmos. Environ., 99, 248-256, doi:10.1016/j.atmosenv.2014.09.068.
• Kacenelenbogen, M. S., et al. (2014), An evaluation of CALIOP/CALIPSO’s aerosol-above-cloud (AAC) detection and retrieval capability. , J. Geophys. Res., 119, 230-244.
• Law, K., et al. (2014), Arctic Air Pollution: New Insights from POLARCAT-IPY, Bull. Am. Meteorol. Soc. (submitted).
• Liss, P., et al. (2014), Short-lived trace gases in the surface ocean and the atmosphere, Ocean-Atmosphere Interactions of Gases and Particles. Berlin/Heidelberg: Springer Verlag, 1-54, doi:10.1007/978-3-642-25643-1_1.
• Liu, G., et al. (2014), Reef-Scale Thermal Stress Monitoring of Coral Ecosystems: New 5-km Global Products from NOAA Coral Reef Watch, Remote Sensing, 6, 11579-11606, doi:10.3390/rs61111579.
• Livingston, J. M., et al. (2014), 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., 14, 2015-2038, doi:10.5194/acp-14-2015-2014.
• Mcgee, C. J., and S. van den Heever (2014), Latent Heating and Mixing due to Entrainment in Tropical Deep Convection, J. Atmos. Sci., 71, 816-832, doi:10.1175/JAS-D-13-0140.1.
• Pieri, D., et al. (2014), Insitu observations and sampling of volanic emissions with NASA and UCR unmanned aircraft, including a case study at Turriabla Volcano, Costa Rica, Remote Sensing of Volcanoes and Volcanic Processes: Integrating Observation and Modelling, edited by D. M. Pyle, T. A. Mather, and J. Biggs. London: Geological Society of London, 321.
• Potter, C. (2014), Regional analysis of NASA satellite greenness trends for ecosystems of arctic Alaska, Intl. Journal of Geosciences, 5, 997, doi:.org/10.4236/ijg.2014.59085.
• Potter, C. (2014), Regional analysis of MODIS satellite greenness trends for ecosystems of interior Alaska, GIScience & Remote Sensing, 51, 390-402.
• Potter, C. (2014), Microclimate influences on vegetation water availability and net primary production in coastal ecosystems of Central California, Landscape Ecology, 29, 677-687, doi:10.1077/s10980-014-002-6.
• Potter, C. (2014), Geographic analysis of burn severity for the 2013 California Rim Fire, Natural Resources, 5, 597-597, doi:10.4236/nr.2014.511052.
• Potter, C. (2014), C. S.. Global assessment of damage to coastal ecosystem vegetation from tropical storms, Remote Sensing Letters, 5, 315-322, doi:10.1080/2150704X.2014.902546.
• Potter, C., and S. Li (2014), High Resolution Mapping of Soils and Landforms for the Desert Renewable Energy Conservation Plan (DRECP), NASA/Technical Memorandum, 2014-21857.
• Potter, C., J. Melack, and D. Engle (2014), Modeling methane emissions from Amazon floodplain ecosystems, Wetlands, 34, 501-511, doi:10.1007/s13157-014-0516-3.
• Rollins, A., et al. (2014), Evaluation of UT/LS hygrometer accuracy by intercomparison during the NASA MACPEX mission, J. Geophys. Res., 119, doi:10.1002/2013JD020817.
• Rose, R., et al. (2014), Ten Ways Remote Sensing Can Contribute to Conservation, Conservation Biology, doi:10.1111/cobi.12397.
• Rosenzweig, C., et al. (2014), Enhancing climate resilience at NASA centers: A collaboration between science and sewardship, Bull. Am. Meteorol. Soc., doi:/abs/10.1175/BAMS-D-12-00169.1 (submitted).
• Russell, P. B., et al. (2014), A Multi-Parameter Aerosol Classification Method and its Application to Retrievals from Spaceborne Polarimetry, Paper #: 2013JD021411R, J. Geophys. Res..
• Schroeder, W., et al. (2014), Integrated Active Fire Retrievals and Biomass Burning Emissions Using Complementary Near-Coincident Ground, Airborne, and Spaceborne Sensor data, Remote Sensing of Environment, 140, 719-730.
• Segal-Rozenhaimer, M., et al. (2014), Tracking elevated pollution layers with a newly developed hyperspectral Sun/Sky spectrometer (4STAR): Results from the TCAP 2012 and 2013 campaigns, J. Geophys. Res., 119, JD020884, doi:10.1002/.
• Ueyama, R., et al. (2014), Dehydration in the tropical tropopause layer: A case study for model evaluation using aircraft observations, J. Geophys. Res., 119, 5299-5316, doi:10.1002/2013JD021381.
• Wang, W., et al. (2014), Variations in atmospheric CO2 growth rates coupled with tropical temperature, Proc. Natl. Acad. Sci., 13061-13066, doi:10.1073/pnas.1219683110.
• Wells, K., et al. (2014), Quantifying global terrestrial methanol emissions using observations from the TES satellite sensor, Atmos. Chem. and Physics, 14, 2555-2555, doi:10.5194/acp-14-2555-2014.
• Wu, Z., et al. (2014), Seasonal cropland mapping using the Automated Cropland Classification Algorithm (ACCA), J. Applied Rem. Sens., 8, 083685, doi:10.1117/1.JRS.8.083685.
• Wu, Z., et al. (2014), Seasonal cultivated and fallow cropland mapping using MODIS-based automated cropland classification algorithm, J. Applied Rem. Sens., 8, doi:10.1117/1.JRS.8.083685.
• Yates, E., et al. (2014), Characterizing the impacts of vertical transport and photochemical ozone production on an exceedance area, Atmos. Environ., In press, doi:10.1016/j.atmosenv.2014.09.002.
• Zhang, G., et al. (2014), Estimation of forest aboveground biomass in California using canopy height and leaf area index estimated from satellite data, Remote Sensing of Environment, doi:10.1016/j.rse.2014.01.025.