Barkley, Z. R., T. Lauvaux, K. J. Davis, A. Deng, A. Fried, P. Weibring, D. Richter, J. G. Walega, J. P. Digangi, S. Ehrman, X. Ren, R. R. Dickerson, Estimating methane emissions from underground coal and natural gas production in southwestern Pennsylvania. Geophys. Res. Lett., 46, 4531–4540. https://doi.org/10.1029/2019GL082131, 2019.
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.
Beale, C., H. Norouzi, Z. Sharifnezhad, A. Bah, P. Yu, Y. Yu, R. Blake, A. Vaculik, and J. Gonzalez-Cruz, 2019: Comparison of Diurnal Variation of Land Surface Temperature from GOES-16 ABI and MODIS Instruments, IEEE Geosci. Remote Sens. Lett., August 2019, pp. 1-5, doi: 10.1109/LGRS.2019.2930174.
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.
Broullón, D., Pérez, F. F., Velo, A., Hoppema, M., Olsen, A., Takahashi, T., Key, R. M., Tanhua, T., González-Dávila, M., Jeansson, E., Kozyr, A., and van Heuven, S. M. A. C.: A global monthly climatology of total alkalinity: a neural network approach, Earth Syst. Sci. Data, 11, 1109-1127, https://doi.org/10.5194/essd-11-1109-2019, 2019.
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, P. C.,Bash, J. O., Nolte, C. G., Spero, T. L., Cooter, E. J., Hinson, K., & Linker, L. C. ( 2019). Projections of Atmospheric Nitrogen Deposition to the Chesapeake Bay Watershed. Journal of Geophysical Research: Biogeosciences. 124. 3307– 3326. https://doi.org/10.1029/2019JG005203
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.
Cao, C., Y. Bai, W. Wang, J. Choi, Radiometric Inter-Consistency of VIIRS DNB on Suomi NPP and NOAA-20 from Observations of Reflected Lunar Lights over Deep Convective Clouds, Remote Sens. April 2019, 11(8), 934; doi: 10.3390/rs11080934
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, L. Gwen, Jon Gottschalck, Andy Hartman, David Miskus, Rich Tinker, and Anthony Artusa, 2019: Flash drought characteristics based on U.S. Drought Monitor, Atmosphere, 10, 498; https://doi.org/10.3390/atmos10090498, [in Special Issue on Meteorological and Hydrological Droughts].
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.
Cronin, Meghan F.; Chelle L. Gentemann, James Edson, Iwao Ueki, Mark Bourassa, Shannon Brown, Carol Anne Clayson, Chris W. Fairall, J. Thomas Farrar, Sarah T. Gille, Sergey Gulev, Simon A. Josey, Seiji Kato, Masaki Katsumata, Elizabeth Kent, Marjolaine Krug, Peter J. Minnett, Rhys Parfitt, Rachel T. Pinker, Paul W. Stackhouse Jr., Sebastian Swart, Hiroyuki Tomita, Douglas Vandemark, Robert A.Weller, Kunio Yoneyama, Lisan Yu and Dongxiao Zhang, 2019: Air-sea fluxes with a focus on heat and momentum. Front. Mar. Sci., 6, 430., https://dx.doi.org/10.3389/fmars.2019.00430.
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.
Dickerson, R. R., D. C. Anderson, and X. Ren, On the use of data from commercial NOx analyzers for air pollution studies, Atmos. Environ., 214, 446873, doi: 10.1016/j.atmosenv.2019.116873, 2019.
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.
Duncan, K., S. L. Farrell, L. N. Connor, J. Richter-Menge and R. Dominguez (2018), High-Resolution Airborne Observations of Sea Ice Pressure-Ridge Sail Height, Annals of Glaciology, https://doi.org/10.1017/aog.2018.2
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).
Fang, L.; Zhan, X.; Schull, M.; Kalluri, S.; Laszlo, I.; Yu, P.; Carter, C.; Hain, C.; Anderson, M. Evapotranspiration Data Product from NESDIS GET-D System Upgraded for GOES-16 ABI Observations. Remote Sens. 2019, 11, 2639. doi: 10.3390/rs11222639
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.
Gommenginger C, Chapron B, Hogg A, Buckingham C, Fox-Kemper B, Eriksson L, Soulat F, Ubelmann C, Ocampo-Torres F, Buongiorno Nardelli B, Griffin D, Lopez-Dekker P, Knudsen P, Andersen O, Stenseng L, Stapleton N, Perrie W, Violante-Carvalho N, Schulz-Stellenfleth J, Woolf D, Isern-Fontanet J, Ardhuin F, Klein P, Mouche A, Pascual A, Capet X, Hauser D, Stoffelen A, Morrow R, Aouf L, Breivik Ø, Fu L-L, Johannessen JA, Aksenov Y, Bricheno L, Hirschi J, Martin ACH, Martin AP, Nurser G, Polton J, Wolf J, Johnsen H, Soloviev A, Jacobs GA, Collard F, Groom S, Kudryavtsev V, Wilkin J, Navarro V, Babanin A, Martin M, Siddorn J, Saulter A, Rippeth T, Emery B, Maximenko N, Romeiser R, Graber H, Alvera Azcarate A, Hughes CW, Vandemark D, da Silva J, Van Leeuwen PJ, Naveira-Garabato A, Gemmrich J, Mahadevan A, Marquez J, Munro Y, Doody S and Burbidge G (2019) SEASTAR: A mission to study ocean submesoscale dynamics and small-scale atmosphere-ocean processes in coastal, shelf and polar seas. Front. Mar. Sci., 6, 457, https://dx.doi.org/10.3389/fmars.2019.00457.
Gruber, Nicolas, D. Clement, B. R. Carter, R. A. Feely, S. van Heuven, M. Hoppema, M. Ishii, R. M. Key, A. Kozyr, S. K. Lauvset, C. Lo Monaco, J. T. Mathis, A. Murata, A. Olsen, F. F. Perez, C. L. Sabine, T. Tanhua, R. Wanninkhof. The oceanic sink for anthropogenic CO2 from 1994 to 2007. Science 15 Mar 2019: Vol. 363, Issue 6432, pp. 1193-1199 DOI: 10.1126/science.aau5153
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.
Halliday, H. S., J. P. DiGangi, Y. Choi, G. S. Diskin, S. E. Pusede, M. Rana, J. B. Nowak, C. Knote, X. Ren, H. He, R. R. Dickerson, and Z. Li, Using short-term CO/CO2 ratios to assess airmass differences over the Korean Peninsula during KORUS-AQ, J. Geophys. Res. – Atmos., 124, doi: 10.1029/2018JD029697, 2019.
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, T., Zhang, Y., Liang, S.L., Yu, Y.Y., & Wang, D.D. (2019). Developing Land Surface Directional Reflectance and Albedo Products from Geostationary GOES-R and Himawari Data: Theoretical Basis, Operational Implementation, and Validation. Remote Sensing, 11, 2655. https://doi.org/10.3390/rs11222655.
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.
Hembeck, L., H. He, T.P. Vinciguerra, T.P. Canty, R.R. Dickerson, R.J. Salawitch, and C.P. Loughner (2019), Measured and modelled ozone photochemical production in the Baltimore-Washington airshed, Atmospheric Environment: X, 2, 100,017.
Herr, D., J. Blum, A. Himes-Cornell, and A.E. Sutton-Grier. 2019. An analysis of the potential positive and negative livelihood impacts of coastal carbon offset projects. Journal of Environmental Management. DOI: 10.1016/j.jenvman.2019.01.067.
Hrisko, J., P. Ramamurthy, Y. Yu, P. Yu, and D. Melecio-Vasquez, 2019: Urban Air Temperature Model Using GOES-16 LST and a Diurnal Regressive Neural Network Algorithm, Remote Sens. En-viron., 237, 111495, doi: 10.1016/j.rse.2019.111495
Hu, Z.-Z., B. Huang, J. Zhu, A. Kumar, and M. J. McPhaden, 2019: On the variety of coastal El Niño events.Clim. Dyn., 52, 7537-7552. DOI: 10.1007/s00382-018-4290-4.
Hu, Z.-Z., A. Kumar, J. Zhu, P. Peng, and B. Huang, 2019: On the challenge for ENSO cycle prediction: An example from NCEP Climate Forecast System, version 2. J. Climate, 32, 183–194. DOI: 10.1175/JCLI-D-18-0285.1.
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.
John, S., H. Liang, T. Weber, T. De Vries, F. Primeau, K. Moore, M. Holzer, N. Mahowald, W. Gardner, A. Mishonov, M.J. Richardson, Y. Faugere, and G. Taburet (2019). AWESOME OCIM: A simple, flexible, and powerful tool for modeling elemental cycling in the oceans. Chemical Geology, httpd://doi.org/10.1016/j.chemgeo.2019.119403.
Ju, H., C. Yoo, B.-U. Kim, H. C. Kim, and S. Kim, 2019: Impact of Stack Parameters on Modeled PM2.5 Conversion Rataes: A Case Study of Chungnam during the KORUS-AQ 2016, J. of Korean Society for Atmospheric Environment, 35(5), 593-608, doi: 10.5572/KOSAE.2019.35.5.593
Jung, M.-I., S.-W. Son, H.C. Kim, S.-W. Kim, R. Park and D. Chen, 2019: Contrasting synoptic weather patterns between non-dust high particulate matter events and Asian dust events in Seoul, South Korea, Atmospheric Environment,214, doi:10.1016/j.atmosenv.2019.116864
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.
Kim, B.-U., H.C. Kim and S. Kim, 2019: Review on ozone management in US and recommendations for domestic ozone control, J. of Korean Society for Atmospheric Environment, 35(3),370-394,doi: 10.5572/KOSAE.2019.35.3.370
Kim, E., H.C. Kim, B.-U. Kim, and S. Kim, 2019: PM2.5 Simulations for the Seoul Metropolitan Area: (VI) Estimating Influence of Sectoral Emissions from Chungcheongnam-do, J. of Korean Society for Atmospheric Environment, 35(2),226-249,doi:10.5572/KOSAE.2019.35.2.226
Kwok, R., Markus, T., Kurtz, N. T., Petty, A. A., Neumann, T. A., Farrell, S. L., Cunningham, G. F., Hancock, D. W., Ivanoff, A., Wimert, J. (2019), Surface height and sea ice freeboard of the Arctic Ocean from ICESat‐2: Characteristics and early results,J. Geophys. Res., 124. https://doi.org/10.1029/2019JC015486
Lee, J.-H., S.-H. Lee, and H.C. Kim, 2019: Detection of strong NOx emissions from fine-scale reconstruction of the OMI tropospheric NO2 product, Remote Sensing, 11(16), 1861, doi:10.3390/rs11161861
Lerner, P., O. Marchal, P. Lam, W. Gardner, MJ Richardson, A. Mishonov (2019). The Influence of the Deep Western Boundary Current on 231Pa and 230Th in the Northwest Atlantic. Geophysical Research Abstracts, Vol. 21, p1-1. 1p.
Levizzani V., C. Kidd K. Aonashi R. Bennartz R. R. Ferraro G. J. Huffman R. Roca F. J. Turk, N.‐Y. Wang (2018), The Activities of the International Precipitation Working Group, QJRMS, https://doi.org/10.1002/qj.3420
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, R., Chen, W., Xiu, A., Zhao, H., Zhang, X., Zhang, S., & Tong, D. Q. (2019). A comprehensive inventory of agricultural atmospheric particulate matters (PM10 and PM2.5) and gaseous pollutants (VOCs, SO2, NH3, CO, NOx and HC) emissions in China. Ecological Indicators, 107, 105609.
Li, X., Z.-Z. Hu, P. Liang and J. Zhu, 2019: Contrastive influence of ENSO and PNA on variability and predictability of North American winter precipitation.J. Clim. 32, 6271-6284. DOI: 10.1175/JCLI-D-19-0033.1.
Li, Z. J. Li, M. Gunshor, S. Moeller, T. Schmit, F. Yu, and W. McCarty, 2019: “Homogenized water vapor absorption band radiances from international geostationary satellites”, Geophysical Research Letters, doi:10.1029/2019GL083639
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.
Liang, S.L., Wang, D.D., He, T., & Yu, Y.Y. (2019). Remote sensing of earth's energy budget: synthesis and review. International Journal of Digital Earth, 12, 737-780, https://doi.org/10.1080/17538947.2019.1597189.
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, Yuling.; Yu, Yunyue.; Yu, Peng.; Wang, Heshun.; Rao, Yuhan. (2019). Enterprise LST Algorithm Development and Its Evaluation with NOAA 20 Data. Remote Sens. 11, 2003.doi: 10.3390/rs11172003
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.
Lyu, C., Chai, T. et al., “Elucidating emissions control strategies for ozone to protect human health and public welfare within the continental United States”, by., Environmental Research Letters, 14(12), 124093, 2019
Ma, H., Liang, S., Xiao, Z., & Wang, D. (2018). Simultaneous Estimation of Multiple Land Surface Parameters from VIIRS Optical-Thermal data. IEEE Geoscience and Remote Sensing Letters, 15, 151-160, https://doi.org/10.1109/LGRS.2017.2779040.
Mackenzie, B., Celliers, L., de Freitas Assad, L.P., Heymans, J.J., Rome, N., Thomas, J.O., …E.A. Smail, ..Terrill, E., The role of stakeholders and actors in creating societal value from coastal and ocean observations.(2019). Frontiers in Marine Science. .
Magruder, L., T. Neumann, H. Fricker, S. L. Farrell, K. Brunt, A. Gardner, D. Hancock, K. Harbeck, M. Jasinski, R. Kwok, N. Kurtz, J. Lee, T. Markus, J. Morison, A. Neuenschwander, S. Palm, S. Popescu, B. Smith and Y. Yang (2019), New Earth orbiter provides a sharper look at a changing planet, EOS, 100, https://doi.org/10.1029/2019EO133233
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.
May, N., E. Ellicott, M. Gollner, (2019). An examination of fuel moisture, energy release, and emissions during laboratory burning of live wildland fuels. Int. J. Wildland Fire, https://doi.org/10.1071/WF18084
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.
Newman, T., S. L. Farrell, J. Richter-Menge, L. N. Connor, N. T. Kurtz, B. C. Elder, and D. McAdoo (2014), Assessment of radar-derived snow depth over Arctic sea ice, J. Geophys. Res. Oceans, 119, 8578-8602, https://doi.org/10.1002/2014JC010284.
Ngan, F., C. P. Loughner, and A. Stein, 2019: The evaluation of mixing methods in HYSPLIT using measurements from controlled tracer experiments. Atmos. Environ., 219, 117043.
Olsen, A., Lange, N., Key, R. M., Tanhua, T., Álvarez, M., Becker, S., Bittig, H. C., Carter, B. R., Cotrim da Cunha, L., Feely, R. A., van Heuven, S., Hoppema, M., Ishii, M., Jeansson, E., Jones, S. D., Jutterström, S., Karlsen, M. K., Kozyr, A., Lauvset, S. K., Lo Monaco, C., Murata, A., Pérez, F. F., Pfeil, B., Schirnick, C., Steinfeldt, R., Suzuki, T., Telszewski, M., Tilbrook, B., Velo, A., and Wanninkhof, R.: GLODAPv2.2019 – an update of GLODAPv2, Earth Syst. Sci. Data, 11, 1437–1461, https://doi.org/10.5194/essd-11-1437-2019, 2019.
Pan, Chunhui, Lihang Zhou, Changyong Cao, Lawrence Flynn and Satya Kalluri, Spectral Calibration of NOAA-20 OMPS Sensor Data Records, 2019 IEEE International Geoscience and Remote Sensing Symposium, 14 November 2019. DOI: 10.1109/IGARSS.2019.8898250.
Pan, Chunhui; L. Zhou, C. Cao, L. Flynn and E. Beach, "Suomi-NPP OMPS Nadir Mapper's Operational SDR Performance," in IEEE Transactions on Geoscience and Remote Sensing. Vol. 57, Issue: 2, 2019. pp1015 – 1024, doi: 10.1109/TGRS.2018.2864125
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.
Qu, Z., D. K. Henze, C. Li, N. Theys, Y. Wang, J. Wang, W. Wang, J. Han, C. Shim, R. R. Dickerson, and X. Ren, SO2 emission estimates using OMI SO2 retrievals for 2005-2017, J. Geophys. Res. – Atmos., 124, 8336–8359, doi: 10.1029/2019JD030243, 2019
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.
Roca R., R. Bennartz Z. Haddad C. Kidd V. Levizzani D.‐B. Shin, N.Y. Wang (2018), Preface to the Special Collection “Advances in Remote Sensing of Rainfall and Snowfall”, QJRMS, https://doi.org/10.1002/qj.3420.
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.
Schmit, T. J., J. Li, S. Lee, Z. Li, R. Dworak, Y.-K. Lee, and M. Bowlan, J. Gerth, G. Martin, W. Straka, K. Baggett, and L. Cronce, 2019: “Legacy atmospheric profiles and derived products from GOES-16: validation and applications”, Earth and Space Science, 6, 1730-1748. https://doi.org/10.1029/2019EA000729.
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.
Shao, X., T. Liu, X. Xiong, C. Cao, T. Choi and A. Angal, "Surface Roughness-Induced Spectral Degradation of Multi-Spaceborne Solar Diffusers Due to Space Radiation Exposure," in IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 11, pp. 8658-8671, Nov. 2019.
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.
Smail, EA, DiGiacomo P, Seeyave S, Djavidnia S, Celliers L, Le Traon P-Y, Gault J, Escobar-Briones E, Plag H-P, Pequignet A-C, Bajona L, Zhang L, Pearlman J, Steven A, Hodge J, Racault M-F, Storlazzi C, Skirving W, Hoeke R, Marra J, van Dongeren A, Muller-Karger F, Cripe D, Takaki D. (2019) An introduction to the ‘Oceans and Society: Blue Planet’ initiative. Journal of Operational Oceanography. https://doi.org/10.1080/1755876X.2019.1634959. .
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.
Sutton, A. J., Feely, R. A., Maenner-Jones, S., Musielwicz, S., Osborne, J., Dietrich, C., Monacci, N., Cross, J., Bott, R., Kozyr, A., Andersson, A. J., Bates, N. R., Cai, W.-J., Cronin, M. F., De Carlo, E. H., Hales, B., Howden, S. D., Lee, C. M., Manzello, D. P., McPhaden, M. J., Meléndez, M., Mickett, J. B., Newton, J. A., Noakes, S. E., Noh, J. H., Olafsdottir, S. R., Salisbury, J. E., Send, U., Trull, T. W., Vandemark, D. C., and Weller, R. A.: Autonomous seawater pCO2 and pH time series from 40 surface buoys and the emergence of anthropogenic trends, Earth Syst. Sci. Data, 11, 421-439, https://doi.org/10.5194/essd-11-421-2019, 2019.
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.
Turk, D., H. Wang, X. Hu, D. K. Gledhill, Z. A. Wang, L.-Q. Jiang, and W.-J. Cai (2019), Time of Emergence of Surface Ocean Carbon Dioxide Trends in the North American Coastal Margins in Support of Ocean Acidification Observing System Design, Front. Mar. Sci., 6:91, doi: 10.3389/fmars.2019.00091.
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,Heshun, Yu, Yunyue, Yu, Peng , & Liu, Yuling. (2019). Land Surface Emissivity Product for NOAA JPSS and GOES-R Missions: Methodology and Evaluation. IEEE Transactions on Geoscience and Remote Sensing, 58(1), 307-318. doi: 10.1109/TGRS.2019.2936297
Wang, L., Y. Chen, Inter-Comparing SNPP and NOAA-20 CrIS Toward Measurement Consistency and Climate Data Records, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing PP(99):1-8. DOI: 10.1109/JSTARS.2019.2891701 (2019)
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.
Wang, Y., S. Dörner, S. Donner, S. Böhnke, I. De Smedt, R. R. Dickerson, Z. Dong, H. He, Z. Li, Z. Li, D. Li, D. Liu, X. Ren, N. Theys, Y. Wang, Y. Wang, Z. Wang, H. Xu, J. Xu, and T. Wagner, Vertical profiles of NO2, SO2, HONO, HCHO, CHOCHO, and aerosols derived from MAX-DOAS measurements at a rural site in the central-western North China Plain and their relation to emission sources and effects of regional transport, Atmos. Chem. Phys., 19, 5417–5449, doi: 10.5194/acp-19-5417-2019, 2019.
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 J, C. R. Hain, X. Zhan, J. Dong, M. Ek. 2019. Improvements in the Forecasts of Near-surface Variables in the Global Forecast System (GFS) via Assimilating ASCAT Soil Moisture Retrievals. J. Hydrol, 578: doi: https://doi.org/10.1016/j.jhydrol.2019.124018.
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.
Zhou,J.,H Yang , 2019, “A study of a two-dimensional scanned lunar image for Advanced Technology Microwave Sounder (ATMS) geometric calibration”, Atmospheric Measurement Techniques, Vol.12, No.9
Zhou,J.,, H. Yang, K. Anderson, 2019,” SNPP ATMS On-Orbit Geolocation Error Evaluation and Correction Algorithm”, IEEE Transactions on Geoscience and Remote Sensing, Vol.57, No.6 PP.3802-3812
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, 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.
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, Hui Liu and Ying-Hwa Kuo, 2019: Occurrence and detection of impact multipath simulations of bending angle. Quart. J. Roy. Meteor. Soc., 145, 1690–1704, https://doi.org/10.1002/qj.3520.