Cooperative Institute for Climate & Satellites - Maryland Cooperative Institute for Climate & Satellites - Maryland

2014 CICS-MD Articles

Amezcua, Javier, Kayo Ide, Eugenia Kalnay, and Sebastian Reich, 2014: Ensemble transform Kalman-Bucy filters. Quart. J. Roy. Meteor. Soc., 140, 995–1004, doi:10.1002/qj.2186.

Arab, A., J. Jackson and C. Kongoli, 2014: Modeling the effects of weather and climate on malaria distribution in West Africa, Malar. J., 13, 126, doi:10.1186/1475-2875-13-126, http://www.malariajournal.com/content/13/1/126.

Baranova, M. M. Biddle, D. R. Johnson and C. R. Paver, 2014: 2013 World Ocean Atlas Aids High-Resolution Climate Studies, Eos, Transactions American Geophysical Union, 95, 41, 369-370, doi: 10.1002/2014EO410002.

Barnes, Brian B. Chuanmin Hu, Kara L. Holekamp, Slawomir Blonski, Bruce A. Spiering, David Palandro and Brian Lapointe, 2014: Use of Landsat data to track historical water quality changes in Florida Keys marine environments, Remote Sens. Environ., 140, 485–496, http://dx.doi.org/10.1016/j.rse.2013.09.020

Bazrafshan, J., Heidari, N., Moradi, I., and Aghashariatmadary, Z., 2014: Simultaneous stochastic simulation of monthly mean daily global solar radiation and sunshine duration hours using copulas." J. Hydrol. Eng., 20, 04014061, http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0001051

Boori, Mukesh, and Ralph Ferraro, 2012: Microwave polarization and gradient ratio (MPGR) for global land surface phenology. J. Geol. Geosci., 2:114, http://dx.doi.org/10.4172/2329-6755.1000114.

Boyer, T., J. Antonov, J. Reagan, C. Schmid, and R. Locarnini, 2014: [Global Oceans] Subsurface Salinity, [in “State of the Climate in 2013”]. Bull. Amer. Meteor. Soc., 95, S62–S65.

Boyer, T.P., H. E. Garcia, R. A. Locarnini, M. M. Zweng, A. V. Mishonov, J. R. Reagan, J. I. Antonov, O. K. Baranova, M. M. Biddle, D. R. Johnson and C. R. Paver (2014): 2013 World Ocean Atlas Aids High-Resolution Climate Studies, Eos, 95, 369-370, doi: 10.1002/2014EO410002.

Brooks, S.; Ren, X.; Cohen, M.; Luke, W.T.; Kelley, P.; Artz, R.; Hynes, A.; Landing, W.; and Martos, B.,  2014: Airborne vertical profiling of mercury speciation near Tullahoma, TN, USA, Atmosphere, 5, 557-574, http://dx.doi.org/10.3390/atmos5030557

Brown, C. W., S. Schollaert Uz, and B. H. Corliss, 2014: Seasonality of oceanic primary production and its interannual variability from 1998 to 2007, Deep-Sea Res., Part I, 90, 166-175, http://dx.doi.org/10.1016/j.dsr.2014.05.009.

Cao, C., and Bai, Y., 2014: Quantitative Analysis of VIIRS DNB Nightlight Point Source for Light Power Estimation and Stability Monitoring. Remote Sens., 6, 11915-11935

Chai, T. and  R. R. Draxler, 2014:  Root mean square error (RMSE) or mean absolute error (MAE)?  Geosci. Model Dev. Discuss., 7, 1525-1534, doi:10.5194/gmdd-7-1525-2014

Chen, Xuchong, Wentao Li, Jin Chen, Wenfeng Zhan and Yuhan Rao, 2014: A simple error estimation method for linear-regression-based thermal sharpening techniques with the consideration of scale difference, Geo-Spatial Inf. Sci., 17, 54–59, http://dx.doi.org/10.1080/10095020.2014.889546

Csiszar, I., W. Schroeder, L. Giglio, E. Ellicott, K. P. Vadrevu, C. O. Justice, and B. Wind, 2014: Active fires from the Suomi NPP Visible Infrared Imaging Radiometer Suite: Product status and first evaluation results, J. Geophys. Res. Atmos., 119, doi:10.1002/2013JD020453.

Divakarla, M., C. Barnet, X. Liu, D. Gu, M. Wilson, S. Kizer, X. Xiong, E. Maddy, R. Ferraro, R. Knuteson, D. Hagan, X.-l. Ma, C. Tan, N. Nalli, A. Reale, A. K. Mollner, W. Yang, A. Gambacorta, M. Feltz, and F. Iturbide-Sanchez, 2014: The CrIMSS EDR algorithm: Characterization, optimization, and validation, J. Geophys. Res.: Atmos., 119, 4953–4977, doi:10.1002/2013JD020438.

Fang, Li, Yunyue Yu, Hui Xu, and Donglian Sun, 2014: New retrieval algorithm for deriving land surface temperature from geostationary orbiting satellite observations, IEEE Trans. Geosci. Remote Sens., 52, 819–828, doi:10.1109/TGRS.2013.2244213

Flynn, Clare M.,  Kenneth E. Pickering, James H. Crawford, Lok Lamsal, Nickolay Krotkov, Jay Herman, Andrew Weinheimer, Gao Chen, Xiong Liu, James Szykman, Si-Chee Tsay, Christopher Loughner, Jennifer Hains, Pius Lee, Russell Dickerson et al., 2014:  Relationship between column-density and surface mixing ratio: Statistical analysis of O3 and NO2 data from the July 2011 Maryland DISCOVER-AQ mission, Atmos. Env., 92, 429-441,  http://dx.doi.org/10.1016/j.atmosenv.2014.04.041

Flynn, L., C. Long, X. Wu, R. Evans, C. T. Beck, I. Petropavlovskikh, G. McConville, W. Yu, Z. Zhang, J. Niu, E. Beach, Y. Hao, Chunhui Pan, B. Sen, M. Novicki, S. Zhou, and C. Seftor 2014: Performance of the Ozone Mapping and Profiler Suite (OMPS) products, J. Geophys. Res.: Atmos., 119 [Special Section: Suomi NPP Calibration and Validation Scientific Results], 6181–6195, doi:10.1002/2013JD020467.

Franch, B., E.F. Vermote, and M. Claverie, 2014: Intercomparison of Landsat albedo retrieval techniques and evaluation against in situ measurements across the US SURFRAD network, Remote Sens. Environ., 152, 627–637, http://dx.doi.org/10.1016/j.rse.2014.07.019

Franch B., Vermote E., Sobrino J.A. and Julien Y.2014: Retrieval of surface albedo on a daily basis: Application to MODIS data, IEEE Trans. Geosci. Remote Sens., 52, 7549–7558, doi:10.1109/TGRS.2014.2313842

Gao, Feng, Tao He, Jeffrey G. Masek, Yanmin Shuai, Crystal B. Schaaf, and Zhuosen Wang, 2014: Angular Effects and Correction for Medium Resolution Sensors to Support Crop Monitoring. IEEE Trans. Geosci. Remote Sens., 8, 083532,  doi:10.1117/1.JRS.8.083532

Ghimire, B., C. A. Williams, J. Masek, F. Gao, Z. Wang, C. Schaaf, and T. He, 2014: Global albedo change and radiative cooling from anthropogenic land cover change, 1700 to 2005 based on MODIS, land use harmonization, radiative kernels, and reanalysis, Geophys. Res. Lett., 41, 9087–9096, http://dx.doi.org/10.1002/2014GL061671

Giglio, Louis, and Wilfrid Schroeder, 2014: A global feasibility assessment of the bi-spectral fire temperature and area retrieval using MODIS data, Remote Sens. Environ., 152, 166–173, http://dx.doi.org/10.1016/j.rse.2014.06.010

He, T., S. Liang, and D. Song., 2014: Analysis of global land surface albedo climatology and spatial-temporal variation during 1981-2010 from multiple satellite products,J. Geophys. Res.: Atmos., 119, 10281-10298

Hua Li, Donglian Sun, Yunyue Yu, Hongyan Wang, Yuling Liu, Qinhuo Liu, Yongming Du, Heshun Wang and Biao Cao, 2014: Evaluation of the VIIRS and MODIS LST products in an arid area of Northwest China, Remote Sensing Env., 142, 111-121.

Huang,  M., K.W. Bowman, G. R. Carmichael, T. Chai, R. B. Pierce, J. R. Worden, M. Luo, I. B. Pollack, T. B. Ryerson, J. B. Nowak, J. Andrew Neuman, J. M. Roberts, E. L. Atlas, and D. R. Blake, 2014: Changes in nitrogen oxides emissions in California during 2005–2010 indicated from top-down and bottom-up emission estimates,J. Geophys. Res., 119, 12928-12952, doi:10.1002/2014JD022268

Jacobs, J., M. Rhodes, C. W. Brown, R. R. Hood, A. Leight, W. Long, and R. Wood, 2014:  Modeling and forecasting the distribution of Vibrio vulnificus in Chesapeake Bay, J. Appl. Microbiol., 117, 1312-1327, doi:10.1111/jam.12624

Jiang L M, Wang P, Zhang L X, Yang, Hu, and Yang, JunTao., 2014: Improvement of snow depth retrieval for FY3B-MWRI in China. Science China: Earth Sciences, 57, 1278–1292, doi: 10.1007/s11430-013-4798-8

Kenney, M.A., E.M. Hamin, and T.C. Sheahan, 2014: Reconceptualizing the Role of Infrastructure in Resilience, Eos, doi: 10.1002/2014EO330006

Kim, Ji-Hye, Mi-Lim Ou, Jun Park, Kenneth R. Morris, Mathew R. Schwaller, and David B. Wolff, 2014: Global Precipitation Measurement (GPM) Ground Validation (GV) Prototype in Korea,  J. Atmos. Oceanic Technol., 31, 1902–1921, http://dx.doi.org/10.1175/JTECH-D-13-00193.1

Kongoli, C., W. P. Kustas, M. C. Anderson, J.M.  Norman, J. G. Alfieri, G. N. Flerchinger and D. Marks, 2014: Evaluation of a two source snow-vegetation energy balance model for estimating surface energy fluxes in a rangeland ecosystem, J. Hydrometeor., 15, 143–158, doi: 10.1175/JHM-D-12-0153.1.

Kongoli, C., R. J. Kuligowski, S. Helfrich and P. Romanov, 2014: Monitoring precipitation and snow cover using multi-sensor satellite and in-situ data, Int. J. Ecosyst. Ecol. Sci., 4, 293–300.

Lee, D., S. Kim, H. Kim and F. Ngan, 2014: Retrospective Air Quality Simulations of the TexAQS-II: Focused on Emissions Uncertainty, Asian J. Atmos. Environ., 8, 212-224, http://dx.doi.org/10.5572/ajae.2014.8.4.212

Lei, H. and J. X. L. Wang, 2014: Observed characteristics of dust storm events over the western United States using meteorological, satellite, and air quality measurements, Atmos. Chem. Phys., 14, 7847-7857. http://dx.doi.org/10.5194/acp-14-7847-2014

Lei, H. and J. X. L. Wang, 2014: Sensitivities of NOx transformation and the effects on surface ozone and nitrate. Atmos. Chem. Phys.,14, 1385-1396, doi: 10.5194/acp-14-1385-2014

Lei, H., D. J. Wuebbles, X.-Z. Liang, Z. Tao, S. Olsen, R. Artz, X. Ren, and M Cohen, 2014: Projections of atmospheric mercury levels and their effect on air quality in the United States, Atmos. Chem. Phys., 14, 783–795, doi:10.5194/acp-14-783-2014

Li, Hua, Donglian Sun, Yunyue Yu, Hongyan Wang, Yuling Liu, Qinhuo Liu, Yongming Du, Heshun Wang and Biao Cao, 2014: Evaluation of the VIIRS and MODIS LST products in an arid area of Northwest China, Remote Sensing Env., 142, 111-121

Liao, Kuo-Jen, Xiangting Hou, and Debra Baker, 2014: Impacts of Interstate Transport of Pollutants on High Ozone Events over the Mid-Atlantic United States, Atmos. Environ., 84, 100­–112, http://dx.doi.org/10.1016/j.atmosenv.2013.10.062.

Liu, Gang, Scott F. Heron, C. Mark Eakin, Frank E. Muller-Karger, Maria Vega-Rodriguez, Liane S. Guild, Jacqueline L. De La Cour, Erick F. Geiger, William J. Skirving, Timothy F. R. Burgess, Alan E. Strong, Andy Harris, Eileen Maturi, et al., 2014: Reef-Scale Thermal Stress Monitoring of Coral Ecosystems: New 5-km Global Products from NOAA Coral Reef Watch, Remote Sens., 6, 11579-11606, doi:10.3390/rs61111579

Liu, Hongqing, Lorraine A Remer, Jingfeng Huang, Ho-Chun Huang, Shobha Kondragunta, Istvan Laszlo, Min Oo, John M Jackson, 2014: Preliminary evaluation of S-NPP VIIRS aerosol optical thickness, J. Geophys. Res.: Atmos., 119, 3942–3962, doi:10.1002/2013JD020360. 

Liu, Quanhua, 2014: Electric Car with Solar and Wind Energy May Change Environment and Economy – A tool for utilizing the renewable energy resource, Earth’s Future, http://doi.org/10.1002/2013EF000206.

Liu, Quanhua, and S. Boukabara, 2014: Community Radiation Transfer Model (CRTM) Applications in Supporting the Suomi National Polar-Orbiting Partnership (SNPP) Mission validation and Verification, Remote Sen. Environ., 140, 744–754.

Liu, Quanhua, and S. Xiao, 2014: Effects of Spectral Resolution and Signal-to-Noise Ratio of Hyperspectral Sensors on Retrieving Atmospheric Parameters, Opt. Lett., 39, 60–63.

Maggioni, Viviana, Mathew R. P. Sapiano, Robert F. Adler, Yudong Tian and George J. Huffman, 2014: An Error Model for Uncertainty Quantification in High-Time-Resolution Precipitation Products, J. Hydrometeor.,15, 1274–1292, http://dx.doi.org/10.1175/JHM-D-13-0112.1

Meyers, Patrick, Lynn Shay, and Jodi Brewster, 2014: Development and analysis of the systematically merged Atlantic regional temperature and salinity climatology for oceanic heat content estimates.J. Atmos. Oceanic Technol., 31, 131–149, doi:10.1175/JTECH-D-13-00100.1.

Molinario, G., D. K. Davies, W. Schroeder, and C. O. Justice 2014:  Characterizing the spatial-temporal fire regime in Ethiopia using the MODIS active fire product: A replicable methodology for country-level fire reporting. Afr. Geogr. Rev., 33, 99–123, doi:10.1080/19376812.2013.854708.

Müller, O. V., E. H. Berbery, D. Alcaraz-Segura, and M. Ek, 2014: Regional model simulations of the 2008 drought in southern South America using a consistent set of land surface properties.J. Climate, 27, 6754-6778, doi: 10.1175/JCLI-D-13-00463.1

Newman, Thomas, Sinead L. Farrell, Jacqueline Richter-Menge, Laurence N. Connor, Nathan T. Kurtz, Bruce C. Elder, and David McAdoo, 2014: Assessment of Radar-derived Snow Depth Measurements over Arctic sea ice, J. Geophys. Res., 119, 8578–8602, doi:10.1002/2014JC010284

Otkin, Jason A., Martha C. Anderson, Christopher Hain, and Mark Svoboda, 2014: Examining the relationship between drought development and rapid changes in the Evaporative Stress Index, J. Hydrometeor., 15, 938-956, doi: 10.1175/JHM-D-13-0110.1.

Pan, C., L. Flynn, R. Buss, C. Softer, X. Wu, W. Yu and M. Grotenhuis, 2014: Performance monitoring of the S-NPP Ozone Mapper Profiler Suite’s Sensor Data Records, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 7, 1763–1769, doi:10.1109/JSTARS.2014.2319738

Pan, Chunhui, Larry Flynn, Xiangqian Wu and Rich Buss, 2014: Suomi National Polar-orbiting Partnership Ozone Mapping Profiler Suite Nadir instruments in-flight performance,  J. Appl. Remote Sens., 8, 083499, http://dx.doi.org/10.1117/1.JRS.8.083499

Pan, Li, Daniel Tong, Pius Lee, Hyuncheol Kim and Tianfeng Chai, 2014: Assessment of NOx and O3 forecasting performances in the U.S. National Air Quality Forecasting Capability before and after the 2012 major emissions updates, Atmos. Environ. 95, 610–619, http://dx.doi.org/10.1016/j.atmosenv.2014.06.020.

Parinussa, R. M., M. T. Yilmaz, M. C. Anderson, C. R. Hain, and R. A. M. de Jeu, 2014: An inter-comparison of remotely sensed soil moisture products at various spatial scales over the Iberian Peninsula, Hydrol. Processes, 28, 4865–4876 DOI: 10.1002/hyp.9975

Peng, J., H. Zhang, and Z. Li, 2014: Temporal and spatial variations of global deep cloud systems based on CloudSat and CALIPSO satellite observations, Adv. Atmos. Sci., 31, 593–603, doi: 10.1007/s00376-013-3055-6

Pinker, Rachel T., Xiaolei Niu and Yingtao Ma, 2014: Solar heating of the Arctic Ocean in the context of ice-albedo feedback, J. Geophys. Res.: Oceans, 119, 8395–8409, doi:10.1002/2014JC010232

Pinto, J. P., J. Dibb, S. C. Herndon, B. H. Lee, B. Lefer, Q. Y. Meng, B. Rappenglueck, X. R. Ren, J. Stutz, E.C. Wood, M. Zahniser, R. Y. Zhang, 2014: Intercomparison of Field Measurements of HONO during SHARP, J. Geophys. Res.: Atmos., 119, 5583–5601, doi:10.1002/2013JD020287.

Pusede, S. E., D. R. Gentner, P. J. Wooldridge, E. C. Browne, A. W. Rollins, K.-E. Min, A. R. Russell, J. Thomas, L. Zhang, W. H. Brune, S. B. Henry, J. P. DiGangi, F. N. Keutsch, S. A. Harrold, J. A. Thornton, M. R. Beaver, J. M. St. Clair, P. O. Wennberg, J. Sanders, X. Ren, T. C. VandenBoer, M. Markovic, J. G. Murphy, A. Guha, R. Weber, A. H. Goldstein, and R. C. Cohen, 2014: On the temperature dependence of organic reactivity, nitrogen oxides, ozone production, and the impact of emission controls in San Joaquin Valley California, Atmos. Chem. Phys., 14, 3373–3395, doi:10.5194/acp-14-3373-2014.

Reagan, J., T. Boyer, J. Antonov, and M. Zweng, 2014: Comparison analysis between Aquarius sea surface salinity and World Ocean Database in situ analyzed sea surface salinity, J. Geophys. Res. Oceans, 119, 8122-8140, doi:10.1002/2014JC009961

Ren, Li, Eric Hackert, Phillip Arkin, and Antonio Bussalaccchi, 2014: Estimating the Global Oceanic Net Freshwater Flux from Argo and comparing it with Satellite-based Freshwater Flux Products, J. Geophys. Res.: Oceans, 119, 7869-7881, doi:10.1002/2013JC009620

Ren, Xinrong, Winston T. Luke, Paul Kelley, Mark Cohen, Fong Ngan, Richard Artz, Jake Walker, Steve Brooks, Christopher Moore, Phil Swartzendruber, Dieter Bauer, James Remeika, Anthony Hynes, Jack Dibb, John Rolison, Nishanth Krishnamurthy, William M. Landing, Arsineh Hecobian, Jeffery Shook, and L. Greg Huey, 2014: Mercury speciation at a coastal site in the northern Gulf of Mexico: Results from the Grand Bay Intensive Studies in summer 2010 and spring 2011. Atmosphere, 5, 230-251, doi:10.3390/atmos5020230.

Rolph, G., F. Ngan and R. R. Draxler, 2014: Modeling the fallout from stabilized nuclear clouds using the HYSPLIT Atmospheric Dispersion Model, J. Environ. Radioact., 136, 41­–55, http://dx.doi.org/10.1016/j.jenvrad.2014.05.006.

Rudlosky S. D., 2014: Evaluating ENTLN performance relative to TRMM/LIS, J. Oper. Meteor., 3, 11-20, http://dx.doi.org/10.15191/nwajom.2015.0302

Sandifer, Paul, and Ariana Sutton-Grier, 2014: Connecting stressors, ocean ecosystem services, and human health,Nat. Resour. Forum,38, 157-167, doi: 10.1111/1477-8947.12047.

Schneising, Oliver, John P. Burrows, Russell R. Dickerson, Michael Buchwitz, Maximilian Reuter, and Heinrich Bovensmann, 2016: Remote sensing of fugitive methane emissions from oil and gas production in North American tight geologic formations, Earth's Future, 2, 548–558, doi:10.1002/2014EF000265

Schroeder, Todd A., Sean P. Healey, Gretchen G. Moisen, Tracey S. Frescino, Warren B. Cohen, Chengquan Huang, Robert E. Kennedy, and Zhiqiang Yang, 2014: Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest Inventory and Analysis data, Remote Sens. Environ., 154, 61–73, http://dx.doi.org/10.1016/j.rse.2014.08.005

Schroeder, W., E. Ellicott, C. Ichoku, L. Ellison, M. B. Dickinson, R. D. Ottmar, C. Clements, D. Hall, V. Ambrosia, and R. Kremens, 2014: Integrated active fire retrievals and biomass burning emissions using complementary near-coincident ground, airborne and spaceborne sensor data. Remote Sens. Environ., 140, 719–730, http://dx.doi.org/10.1016/j.rse.2013.10.010

Schroeder, Wilfrid, Patricia Oliva, Louis Giglio, and Ivan A. Csiszar, 2014: The New VIIRS 375 m active fire detection data product: Algorithm description and initial assessment. Remote Sens. Environ., 143, 85–96, http://dx.doi.org/10.1016/j.rse.2013.12.008.

Shen, S.S.P., N. Tafolla, T.M. Smith, and P.A. Arkin, 2014: Multivariate regression reconstruction and its sampling error for the quasi-global annual precipitation from 1900-2011, J. Atmos. Sci., 71, 3250-3268, http://dx.doi.org/10.1175/JAS-D-13-0301.1  

Sobrino, J.A., Franch, B., Oltra-Carrió, R., Vermote, E.F., & Fedele, E., 2014: Evaluation of the MODIS Albedo product over a heterogeneous agricultural area, Int. J.Remote Sensing, 34, 5530–5540, DOI 10.1080/01431161.2013.792968.

Song, Weize, Haifeng Jia, Jingfeng Huang, and Yiyue Zhang, 2014: A Satellite-based Geographically Weighted Regression Model for Regional PM2.5 Estimation over the Pearl River Delta Region in China, Remote Sens. Environ, 157, 1-7, doi:10.1016/j.rse.2014.08.008

Tsamados, M., D. Feltham, D. Schroeder, D. Flocco, S. Farrell, N. Kurtz, S. Laxon, and S. Bacon, 2014: Impact of atmospheric and oceanic form drag on simulations of Arctic sea ice,J. Phys. Oceanog., 44, 1329-1353, doi: 10.1175/JPO-D-13-0215.1

Uz, Stephanie Schollaert, Wendy Ackerman, Jim O'Leary, Britta Culbertson, Patrick Rowley, and Phil Arkin, 2014: The effectiveness of Science On a Sphere® stories to improve climate literacy among the general public, J. Geosci. Educ., 62, 485-494

VandenBoer, T. C., M. Z. Markovic, J. E. Sanders, X. Ren, S. E. Pusede, E. C. Browne, R. C. Cohen, L. Zhang, J. Thomas, W. H. Brune and J. G. Murphy, 2014: Evidence for a nitrous acid (HONO) reservoir at the ground surface in Bakersfield, CA, during CalNex 2010, J. Geophys. Res., 119, 9093–9106

Van Houtven, G., C. Mansfield, D.J. Phaneuf, R. von Haefen, B. Milstead, M.A. Kenney, K.H. Reckhow, 2014: Combining expert elicitation and stated preference methods to value ecosystem services from improved lake water quality, Ecol. Econ., 99, 40–52. http://dx.doi.org/10.1016/j.ecolecon.2013.12.018.

Vermote, E.F., Justice, C.O., and Csiszar, I., 2014: Early evaluation of the VIIRS calibration, cloud mask and surface reflectance Earth data records” Remote Sensing Env., 148, 134–145, http://dx.doi.org/10.1016/j.rse.2014.03.028.

Weaver, C. P., S. Mooney, D. Allen, N. Beller-Simms, T. Fish, A. E. Grambsch, W. Hohenstein, K. Jacobs, M. A. Kenney, M. A. Lane, L. Langner, E. Larson, D. L. McGinnis, R. H. Moss, L. G. Nichols, C. Nierenberg, E. A. Seyller, P. C. Stern and R. Winthrop, 2014: From global change science to action with social sciences. Nat. Climate Change, 4, 656–659.

Webster, M. A., I. G. Rigor, S. V. Nghiem, N. T. Kurtz, S. L. Farrell, D. K. Perovich, and M. Sturm, 2014: Interdecadal changes in snow depth on Arctic sea ice, J. Geophys. Res. Oceans, 119, 5395–5406, doi:10.1002/2014JC009985

Weng, F., X. Zou and Z. Qin, 2014: Uncertainty of AMSU-A derived   temperature trends in relationship with clouds and precipitation,Climate Dyn., 43, 1439­–1448, doi:10.1007/ s00382-013-1958-7

Weng, F. and X. Zou, 2014: 30-year atmospheric temperature trend derived by one-dimensional variational data assimilation of MSU/AMSU-A observations, Climate Dyn., 43, 1857–1870, doi:10.1007/s00382-013-2012-5

Winter, A., J. Henderiks, L. Beaufort, R. E. M. Rickaby, and C.W. Brown, 2014: Poleward expansion of the coccolithophore Emiliania huxleyi. J. Plankton Res., 36, 316-325,  http://dx.doi.org/10.1093/plankt/fbt110.

Wonkook, Kim; Tao He; Dongdong Wang; Changyong Cao; and Shunlin Liang, 2014: Assessment of Long-Term Sensor Radiometric Degradation Using Time Series Analysis, IEEE Trans. Geosci. Remote Sensing, 52, 2960–2976, doi: 10.1109/TGRS.2013.2268161.

Wu, H., R. F. Adler, Y. Tian, G. J. Huffman, H. Li, and J.J. Wang, 2014: Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model, Water Resour. Res., 50, 2693–2717, doi:10.1002/2013WR014710.

Wu, Xiangqian, Quanhua Liu, Jian Zeng, Michael Grotenhuis, Haifeng Qian, Maria Caponi, Larry Flynn, Glen Jaross, Bhaswar Sen, Richard H. Buss Jr., William Johnsen, Scott Janz, Chunhui Pan, Jianguo Niu, Trevor Beck, Eric Beach, Wei Yu, M. K. Rama Varma Raja,Derek Stuhmer, Daniel Cumpton, Cristina Owen, and Wen-Hao Li, 2014: Evaluation of the Sensor Data Record from the nadir instruments of the Ozone Mapping Profiler Suite (OMPS).  J. Geophys. Res.: Atmos., 119 [Special Section: Suomi NPP Calibration and Validation Scientific Results], 6170­–6180, doi:10.1002/2013JD020484.

Xie, P., T. Boyer, E. Bayler, Y. Xue, D. Byrne, J. Reagan, R. Locarnini, F. Sun, R. Joyce, and A. Kumar, 2014: An in situ - satellite blended analysis of global sea surface salinity. J. Geophys. Res. Oceans, 119, 6140 - 6160, doi: 10.1002/2014JC010046.

Xu, W., R. Adler, Nai-Yu Wang, 2014: Combining satellite infrared and lightning information to estimate warm‐season convective and stratiform rainfall. J. Appl. Meteor. Climatol., 53, 180–199, http://dx.doi.org/10.1175/JAMC-D-13-069.1.

Xue, Y., Z. Hu, A. Kumar, V. Banzon, T. M. Smith, and N. A. Rayner, 2014: [Global Oceans] Sea surface temperatures [in “State of the Climate in 2013”]. Bull. Amer. Meteor. Soc., 95, S51-S54.

Xue, L., W. Yu, H. Wang, L.-Q. Jiang, L. Feng, L. Gao, K. Li, Z. Li, Q. Wei, and C. Ning, 2014: Temporal changes in surface partial pressure of carbon dioxide and carbonate saturation state in the eastern equatorial Indian Ocean during the 1962–2012 period. Biogeosciences, 11, 6293-6305, doi:10.5194/bg-11-6293-2014

Yang, Hu, and Xiaolei Zou: 2014: Optimal ATMS remapping algorithm for climate research. , IEEE Trans. Geosci. Remote Sens., 52, 7290–7296, doi:10.1109/TGRS.2014.2310702.

Yang, Juntao, Lingmei Jiang, Jiancheng Shi, Shengli Wu, Ruijing Sun and Hu Yang, 2014: Monitoring snow cover using Chinese meteorological satellite data over China, Remote Sens. Environ., 143, 192–203, http://dx.doi.org/10.1016/j.rse.2013.12.022

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