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2019 Articles

Battye, William H., Casey D. Bray,  Viney P. Aneja , Daniel Tong,  Pius Lee and Youhua Tang, 2019: Evaluating ammonia (NH3) predictions in the NOAA National Air Quality Forecast Capability (NAQFC) for eastern North Carolina using ground level and satellite measurements, J. Geophys. Res. Atmos., 124, 8242–8259, https://doi.org/10.1029/2018JD029990.

Bender, Timothy Marchok, Robert E. Tuleya, Isaac Ginis, Vijay Tallapragada, and Stephen J. Lord, 2019: Hurricane model development at GFDL: A collaborative success story from a historical perspective. Bull. Amer. Meteor. Soc., 100, ,1725–1736, https://dx.doi.org/10.1175/BAMS-D-18-0197.1.

Boukabara, Sid-Ahmed, Vladimir Krasnopolsky, Jebb Q. Stewart, Stephen G. Penny, Ross N. Hoffman, and Eric Maddy, 2019: Artificial Intelligence may be key to better weather forecasts, Eos, 100,August, https://doi.org/10.1029/2019EO129967.

Bruning, Eric, Clemens Tillier, Samantha Edgington, Scott, Rudlosky, et al., 2019: Meteorological imagery for the geostationary lightning mapper. J. Geophys. Res. Atmos., 24, 14285–14309,  https://doi.org/10.1029/2019JD030874.

Campbell, Patrick C., Jesse O. Bash and Tanya L. Spero, 2019: Updates to the Noah Land Surface Model in WRF‐CMAQ to improve simulated meteorology, air quality, and deposition. J. Adv. Model. Earth Syst., 11, 231–256, https://doi.org/10.1029/2018MS001422.  

Carter, Corinne, and Shunlin Liang, 2019: Evaluation of ten machine learning methods for estimating terrestrial evapotranspiration from remote sensing. Int. J. Appl. Earth Obs. Geoinf., 78, 86–92, https://doi.org/10.1016/j.jag.2019.01.020.

Carton, James, Stephen Penny and Eugenia Kalnay, 2019: Temperature and Salinity Variability in the SODA3, ECCO4r3, and ORAS5 Ocean Reanalyses, 1993–2015. J. Clim., 32, 2277–2293, https://doi.org/10.1175/JCLI-D-18-0605.1.

Chen, Tse-Chun, and Eugenia Kalnay, 2019: Proactive Quality Control: Observing System Simulation Experiments with the Lorenz ’96 Model. Mon. Wea. Rev., 147, 53–67,  http://dx.doi.org/10.1175/MWR-D-18-0138.1.

Chu, Yiqi, Jing Li, Chengcai La, Wangshu Tan, Tianning Su and Jian Li, 2019: Seasonal and diurnal variability of planetary boundary layer height in Beijing: Intercomparison between MPL and WRF results. Atmos. Res., 227, 1–13, https://doi.org/10.1016/j.atmosres.2019.04.017.

DeCarlo Thomas M., Hugo Harrison, Laura Gajdzik, Diego Alaguarda, Riccardo Rodolfo-Metalpa, Juna D’Olivo, Gang Liu, Diana Patalwala, Malcolm McCulloch. 2019. Acclimatization of massive reef-building corals to consecutive heatwaves. Proc. R. Soc. B, 286, 20190235, http://dx.doi.org/10.1098/rspb.2019.0235.

Dong, Huijie, and Xiaolei Zou, 2019: Striping noise mitigation for Tropical Rainfall Measuring Mission Microwave Imager Observations. IEEE Trans. Geosci. Remote Sens.,57, 2449–2463,https://doi.org/10.1109/TGRS.2018.2873661.

Egido, Alejandro, and Walter H. F. Smith, 2019: Pulse-to-pulse correlation effects in High PRF low resolution mode altimeters. IEEE Trans. Geosci. Remote Sens.,57, 2610 – 2617,http://dx.doi.org/10.1109/TGRS.2018.2875622.

Etyemezian, V. ,  J.A. Gillies,  L.G. Mastin,  Alice Crawford,  R. Hasson,  A.R. Van Eaton and G. Nikolich, 2019: Laboratory experiments of volcanic ash resuspension by wind. J. Geophys. Res. Atmos., 124, 9534–9560, https://doi.org/10.1029/2018JD030076(accepted article online 7 August 2019).

Fedkin, N., Li, C., Dickerson, R.R., Canty, T., Krotkov, N.A., 2019: Linking improvements in sulfur dioxide emissions to decreasing sulfate wet deposition by combining satellite and surface observations with trajectory analysis. Atmos. Environ., 199, 210-223,  https://doi.org/10.1016/j.atmosenv.2018.11.039.

Fennel, Katja, Marion Gehlen, Pierre Brasseur, Christopher W. Brown, Stefano Ciavatta, Gianpiero Cossarini, Alessandro Crise, Christopher A. Edwards, David Ford, Marjorie A. M. Friedrichs, Marilaure Gregoire, Emlyn Jones, Hae-Cheol Kim, Julien Lamouroux, Raghu Murtugudde, Coralie Perruche and the GODAE OceanView Marine Ecosystem Analysis and Prediction Task Team, 2019: Advancing marine biogeochemical and ecosystem reanalyses and forecasts as tools for monitoring and managing ecosystem health. Front. Mar. Sci., 6, 89, https://doi.org/10.3389/fmars.2019.00089

Franch, Belen, Eric F. Vermote, S. Skakun, J.C. Roger, I. Becker-Reshef, E. Murphy and Christopher  Justice, 2019: Remote sensing based yield monitoring: Application to winter wheat in United States and Ukraine. Int. J. Appl. Earth Obs. Geoinf., 76, 112–127, https://doi.org/10.1016/j.jag.2018.11.012.

Gao, Xueyuan, Shunlin Liang and Bin He, 2019: Detected global agricultural greening from satellite data. Agric. For. Meteor., 277-278, 107652, https://doi.org/10.1016/j.agrformet.2019.107652.

Gu, Yalong, Sirish Uprety, Slawomir Blonski, Bin Zhang and Changyong Cao, 2019: Improved algorithm for determining the Visible Infrared Imaging Radiometer Suite Day/Night Band high-gain stage dark offset free from light contamination. Appl. Opt., 58, 1400–1407, https://doi.org/10.1364/AO.58.001400.

He, Hao, Konstantin Y. Vinnikov, Nickolay A. Krotkov, Eric S. Edgerton, James J. Schwab and Russell R. Dickerson, 2019: Chemical climatology of atmospheric pollutants in the Eastern United States: Seasonal/diurnal cycles and contrast under clear/cloudy conditions for remote sensing. Atmos. Environ., 206, 85–107, https://doi.org/10.1016/j.atmosenv.2019.03.003.

He, Tao, Feng Gao, Shunlin Liang and Yi Peng, 2019: Mapping climatological bare soil albedos over thecontiguous United States using MODIS data. Remote Sens., 11, 666, http://dx.doi.org/10.3390/rs11060666.

Jenniskens, Peter, Jim Albers, Clemens E. Tillier, Samantha F. Edgington, Randolph S. Longenbaugh, Steven J. Goodman, Scott D. Rudlosky, Alan R. Hildebrand, Lincoln Hanton, Fabio Ciceri, Richard Nowell, Esko Lyytinen, Donald Hladiuk, Dwayne Free, Nicholas Moskovitz, Len Bright, Christopher O. Johnston and Eric Stern, 2018: Detection of meteoroid impacts by the Geostationary Lightning Mapper on the GOES‐16 satellite, Meteorit. Planet. Sci., 53(12), 2445–2469,https://doi.org/10.1111/maps.13137.

Jiang, Li-Qing, Brendan R. Carter, Richard A. Feely, Siv K. Lauvset and Are Olsen, 2019: Surface ocean pH and buffer capacity: past, present and future, Sci. Rep., 9, 18624, https://doi.org/10.1038/s41598-019-55039-4.

Jing, Xin, Larry Leigh, Cibele Teixeira Pinto and Dennis Helder, 2019: Evaluation of RadCalNet output data using Landsat 7, Landsat 8, Sentinel 2A, and Sentinel 2B sensors. Remote Sens., 11, 541, https://doi.org/10.3390/rs11050541.

Keller, Graziela R., Truman Wilson, Xu Geng, Aisheng Wu, Zhipeng Wang, and Xiaoxiong Xiong, 2019: Aqua MODIS electronic crosstalk survey: Mid-wave infrared bands. IEEE Trans. Geosci. Remote Sens., 57, 1684–1697, http://dx.doi.org/10.1109/TGRS.2018.2868613.

Li, Hua , Heshun Wang, Yikun Yang, Yongming Du, Biao Cao , Zunjian Bian , and Qinhuo Liu, 2019: Evaluation of atmospheric correction methods for the ASTER temperature and emissivity separation algorithm using ground observation networks in the HiWATER Experiment. IEEE Trans. Geosci. Remote Sens., 57, 3001–3014, https://doi.org/10.1109/TGRS.2018.2879316.

Li, Qi, and Xiaolei Zou, 2019: Bias characterization of ATMS low-level channels under clear-sky and cloudy conditions. Front. Earth Sci., 13, 277–289, https://doi.org/10.1007/s11707-019-0750-3. (published in June 2019 issue)

Li, Zhongxian, Ping He, Jieshun Zhu, Haishan Chen, Gang Zeng and Weitao Deng, 2019: Improving the simulation of East Asian summer monsoon with mesoscale enhancement in an AGCM. Climate Dyn., 53, 225–236, https://doi.org/10.1007/s00382-018-4580-x.

Lima, L. N., L. P. Pezzi, Stephen G. Penny and C. A. S. Tanajura, 2019: An investigation of ocean model uncertainties through ensemble forecast experiments in the Southwest Atlantic Ocean. J. Geophys. Res. Oceans, 124, 432–452, https://doi.org/10.1029/2018JC013919.

Liu, Yun, Eugenia Kalnay, Ning Zeng, Ghassem Asrar, Zhaohui Chen and Binghao Jia, 2019: Estimating surface carbon fluxes based on a local ensemble transform Kalman filter with a short assimilation window and a long observation window: an observing system simulation experiment test in GEOS-Chem 10.1, Geosci. Model Dev., 12, 2899–2914, https://doi.org/10.5194/gmd-12-2899-2019.

Martins Campos, R., V. Krasnopolsky, J. Alves, and S. Penny, 2019: Nonlinear Wave Ensemble Averaging in the Gulf of Mexico using Neural Networks. J. Atmos. Oceanic Technol., 36, 113–127, https://doi.org/10.1175/JTECH-D-18-0099.1.

Moltmann Tim, Jon Turton, Huai-Min Zhang, Glenn Nolan, Carl Gouldman, Laura Griesbauer, Zdenka Willis, Ángel Muñoz Piniella, Sue Barrell, Erik Andersson, Champika Gallage, Etienne Charpentier, Mathieu Belbeoch, Paul Poli, Anthony Rea, Eugene F. Burger, David M. Legler, Rick Lumpkin, Christian Meinig, Kevin O’Brien, Korak Saha, Adrienne Sutton, Dongxiao Zhang and Yongsheng Zhang, 2019: A Global Ocean Observing System (GOOS), delivered through enhanced collaboration across regions, communities, and new technologies. Front. Mar. Sci., 6, 291, https://doi.org/10.3389/fmars.2019.00291. Part of a special issue: “Oceanobs19: An Ocean of Opportunity.”  

Myung-Il Jung, Seok-Woo Son, Hyun Cheol Kim, Sang-Woo Kim, Rokjin J.Park and Deliang Chend, 2019: Contrasting synoptic weather patterns between non-dust high particulate matter events and Asian dust events in Seoul, South Korea. Atmos. Environ., 214, 116864, https://doi.org/10.1016/j.atmosenv.2019.116864.

Peng, Jie, Chaoyang Wu, Xiaoyang Zhang, Xiaoyue Wang and Alemu Gonsamo, 2019: Satellite detection of cumulative and lagged effects of drought on autumn leaf senescence over the Northern Hemisphere. Global Change Biol., 25, 2174–2188, https://doi.org/10.1111/gcb.14627.

Penny , Stephen G., Santha Akella, Magdalena A. Balmaseda, Philip Browne, James A. Carton et al., 2019: Observational needs for improving ocean and coupled reanalysis, S2S prediction, and decadal prediction. Front. Mar. Sci., 6, 391, https://www.frontiersin.org/article/10.3389/fmars.2019.00391.

Peterson, Michael, and Scott Rudlosky, 2019: The time evolution of optical lightning flashes. J. Geophys. Res. Atmos., 124, 333–349, https://doi.org/10.1029/2018JD028741

Pinker, Rachel T., Yingtao Ma, Wen Chen, Glynn Hulley, Eva Borbas, Tanvir Islam, Chris Hain, Kerry Cawse-Nicholson, Simon Hook and Je Basara, 2019: Towards a unified and coherent land surface temperature earth system data record from geostationary satellites. Remote Sens., 11, 1399, http://dx.doi.org/10.3390/rs11121399.

Ren, Xinrong, D. L. Hall, T. Vinciguerra, S. E. Benish, P. R. Stratton, D. Ahn, J. R. Hansford, M. D. Cohen, S. Sahu, H. He, C. Grimes, Jose D. Fuentes, Paul B. Shepson, R. J. Salawitch, S. H. Ehrman, and R. R. Dickerson, 2019: Methane emissions from the Marcellus Shale in southwestern Pennsylvania and northern West Virginia based on airborne measurements, J. Geophys. Res. Atmos., 124, 1862–1878, http://dx.doi.org/10.1029/2018JD029690.

Rosenfeld, Daniel, Yannian Zhu, Minghuai Wang,Youtong Zheng, Tom Goren and Shaocai Yu, 2019: Aerosol-driven droplet concentrations dominate coverage and water of oceanic low level clouds. Science, 363, 599, eaav0566, https://doi.org/10.1126/science.aav0566.

Rudlosky, Scott D., Steven J. Goodman, Katrina S. Virts and Eric C. Bruning, 2019: Initial Geostationary Lightning Mapper observations, Geophys. Res. Lett., 46, 1097–1104,  https://doi.org/10.1029/2018GL081052.

Sallila, H., Farrell, S. L., McCurry, J., and Rinne, E.: Assessment of contemporary satellite sea ice thickness products for Arctic sea ice, The Cryosphere, 13, 1187-1213, https://doi.org/10.5194/tc-13-1187-2019.

Saylor, Rick D., Barry D. Baker, Pius Lee, Daniel Tong, Li Pan and Bruce B. Hicks, 2019: The particle dry deposition component of total deposition from air quality models: Right, wrong or uncertain?, Tellus, Ser. B),71, 1­–22, https://doi.org/10.1080/16000889.2018.1550324.

Seidov, Dan, Alexey Mishonov, James Reagan and Rost Parsons,2019a: Eddy‐resolving in situ ocean climatologies of temperature and salinity in the Northwest Atlantic Ocean. J. Geophys. Res. Oceans, , 124, 41–58, https://doi.org/10.1029/2018JC014548.

Seidov, Dan, Alexey Mishonov, James Reagan and Rost Parsons,2019b: Resilience of the Gulf Stream path on decadal and longer timescales. Sci. Rep., 9, 2045-2322, https://doi.org/10.1038/s41598-019-48011-9.

Shin, Chul‑Su, Bohua Huang, Jieshun Zhu, L. Marx, James L. Kinter III, 2019: Improved seasonal predictive skill and enhanced predictability of the Asian summer monsoon rainfall following ENSO events in NCEP CFSv2 hindcasts. Climate Dyn., 52, 3079–3098,  https://doi.org/10.1007/s00382-018-4316-y.

Skirving, William, Scott Heron, Benjamin Marsh, Gang Liu, Jacqueline De La Cour, Erick Geiger and C. Mark Eakin, 2019: The relentless march of mass coral bleaching: A global perspective of changing heat stress. Coral Reef, 38, 547–557, https://doi.org/10.1007/s00338-019-01799-4.

Storto A, Alvera-Azcárate A, Balmaseda MA, Barth A, Chevallier M, Counillon F, Domingues CM, Drevillon M, Drillet Y, Forget G, Garric G, Haines K, Hernandez F, Iovino D, Jackson LC, Lellouche J-M, Masina S, Mayer M, Oke PR, Penny SG, Peterson KA, Yang C and Zuo H (2019) Ocean reanalyses: Recent advances and unsolved challenges. Front. Mar. Sci., 6, 418, https://doi.org/10.3389/fmars.2019.00418, in the special issue Oceanobs19: An Ocean of Opportunity.

Sun, Chenghu; Zhang, Ruonan; Li, Weijing; Zhu, Jieshun; Yang, Song, 2019: Possible impact of North Atlantic warming on the decadal change in the dominant modes of winter Eurasian snow water equivalent during 1979–2015. Climate Dyn., 53, 5203–5213, https://doi.org/10.1007/s00382-019-04853-7.

Tao, Xin, Chengquan Huang, Feng Zhao, Karen Schleeweis, Jeffrey Masek andShunlin Liang, 2019: Mapping forest disturbance intensity in North and South Carolina using annual Landsat observations and field inventory data. Remote Sens. Lett., 221, 351–362, https://doi.org/10.1016/j.rse.2018.11.029.

Tian, Xiaoxu andXiaolei Zou, 2019: Mitigation of striping noise in ATMS calibration counts by symmetric filters, J. Atmos. Oceanic Technol., 36, 1297–1312, https://doi.org/10.1175/JTECH-D-18-0191.1.

Tomlinson, Michelle C., Richard P. Stumpf and Ronald L. Vogel, 2019: Approximation of diffuse attenuation, Kd, for MODIS high-resolution bands. Remote Sens. Lett., 10(2) 178-185, https://doi.org/10.1080/2150704X.2018.1536301.

Uprety , Sirish, Changyong Cao, Yalong Gu, Xi Shao, Slawomir Blonski, and Bin Zhang, 2019: Calibration Improvements in S-NPP VIIRS DNB Sensor Data Record Using Version 2 Reprocessing. IEEE Trans. Geosci. Remote Sens., 57, 9602–9611, doi: 10.1109/TGRS.2019.2927942.

Wang, Wenhui, Changyong Cao, Alexander Ignatov, Xingming Liang, Zhenglong Li, Likun Wang, Bin Zhang, Slawomir Blonski, and Jun Li, 2019: Improving the calibration of Suomi NPP VIIRS thermal emissive bands during blackbody warm-up/cool-down. IEEE Trans. Geosci. Remote Sens., 57, 1977–1994, https://doi.org/10.1109/TGRS.2018.2870328.  

Wei, Jing, Zhanqing Li, Yiran Peng and Lin Sun, 2019: MODIS Collection 6.1 aerosol optical depth products over land and ocean: Validation and comparison. Atmos. Environ., 201, 428–440, https://doi.org/10.1016/j.atmosenv.2018.12.004.

Xu,Hui,Yong Chen andLikun Wang, 2019: Cross-Track Infrared Sounder spectral gap filling toward improving intercalibration uncertainties. IEEE Trans. Geosci. Remote Sens., 57, 509–519, http://dx.doi.org/10.1109/TGRS.2018.2857833.

Yang, John Xun, and Hu Yang, 2019: Radiometry calibration with high-resolution profiles of GPM: Application to ATMS 183-GHz water vapor channels and comparison against reanalysis profiles. IEEE Trans. Geosci. Remote Sens., 57, 829–838, http://dx.doi.org/10.1109/TGRS.2018.2861678.

Yin, Jifu, Xiwu Zhan, Jicheng Liu and Mitchell Schull, 2019: An inter-comparison of Noah model skills with benefits of assimilating SMOPS blended and individual soil moisture retrievals. Water Resour. Res., 55, 2572–2592, https://doi.org/10.1029/2018WR024326.

You, Yalei, Huan Meng, Jun Dong andScott Rudlosky, 2019: Time‐lag correlation between passive microwave measurements and surface precipitation and its impact on precipitation retrieval evaluation. Geophys. Res. Lett., 46, 8415–8423, https://doi.org/10.1029/2019GL083426.

Zhang , Xiaotong, Dongdong Wang , Qiang Liu, Yunjun Yao, Kun Jia, Tao He, Bo Jiang, Yu Wei, Han Ma, Xiang Zhao, Wenhong Li, and Shunlin Liang, 2019: An operational approach for generating the global land surface downward shortwave radiation product from MODIS data. IEEE Trans. Geosci. Remote Sens.,57, 4636–4650,https://doi.org/10.1109/TGRS.2019.2891945.

Zheng, Youtong, Daniel Rosenfeld, Yannian Zhu and Zhanqing Li, 2019: Satellite‐based estimation of cloud top radiative cooling rate for marine stratocumulus. Geophysical Research Letters, 46, 4485–4494, https://doi.org/10.1029/2019GL082094.

Zhou, Hongmin, Shunlin Liang, Tao He, Jindi Wang, Yanchen Bo and Dongdong Wang, 2019: Evaluating the spatial representativeness of the MODerate Resolution Image Spectroradiometer Albedo Product (MCD43) at AmeriFlux sites. Remote Sens., 11, 547; https://doi.org/10.3390/rs11050547.

Zhu, Jieshun, and Arun Kumer, 2019: Role of sea surface salinity feedback in MJO predictability: A study with CFSv2. J. Climate, 32, 5745–5759, https://doi.org/10.1175/JCLI-D-18-0755.1.

Zou, Xiaolei, Hui Liu and Ying-Hwa Kuo, 2019: Occurrence and detection of impact multipath simulationsof bending angle. Quart. J. Roy. Meteor. Soc., 145, 1690–1704, https://doi.org/10.1002/qj.3520.

Zou, Xiaolei, and Xiaoxu Tian: 2019: Striping noise analysis and mitigation for Microwave Temperature Sounder-2 observations. Adv. Atmos. Sci., 36, 711-720, https://doi.org/10.1007/s00376-019-9009-x.

Zou, Xiaolei, and Xiaoxu Tian, 2019: Comparison of ATMS striping noise between NOAA-20 and S-NPP and noise impact on hurricane warm core retrieval of Typhoon Jelawat (2018). IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 12, 2504–2512, http://dx.doi.org/10.1109/JSTARS.2019.2891683.

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