Adhikari, Locknath; Shu-Peng Ho, and Xinja Zhou, 2021: Inverting COSMIC-2 phase data to bending angle and refractivity profiles using the full spectrum inversion method. Remote Sens., 13, 1793, https://doi.org/10.3390/rs13091793.
Boukabara, Sid-Ahmed; John Eyre, Richard A. Anthes, Kenneth Holmlund, Karen M. St. Germain, and Ross N. Hoffman, 2021: The Earth-Observing Satellite Constellation: A review from a meteorological perspective of a complex, interconnected global system with extensive applications.IEEE Geosci. Remote Sens. Mag., 9(3), 26–42, https://doi.org/10.1109/MGRS.2021.3070248.
Boukabara, Sid-Ahmed; Vladimir Krasnopolsky, Stephen G. Penny, Jebb Q. Stewart, Amy McGovern, David Hall, John E. Ten Hoeve, Jason Hickey, Hung-Lung Allen Huang, John K. Williams, Kayo Ide, Philippe Tissot, Sue Ellen Haupt, Kenneth S. Casey, Nikunj Oza, Alan J. Geer, Eric S. Maddy, and Ross N. Hoffman, 2021: Outlook for exploiting artificial intelligence in the Earth and environmental sciences. Bull. Amer. Meteor. Soc., 102(5), E1016–E1032, https://doi.org/10.1175/BAMS-D-20-0031.1.
Brune, William H.; Patrick J. McFarland, Eric C. Bruning, Sean Waugh, Donald MacGorman, David O. Miller, Jena M. Jenkins, Xinrong Ren, Jingqiu Mao, and Jeff Peischl, 2021: Extreme oxidant amounts produced by lightning in storm clouds. Science, 372, 711–715, https://dx.doi.org/10.1126/science.abg0492.
Caicedo, Vanessa; Ruben Delgado, Winston Luke, Xinrong Ren, Paul Kelley, Phillip R. Stratton, Russell R. Dickerson, Timothy Berkoff, and Guillaume Gronof, 2021: Observations of bay-breeze and ozone events over a marine site during the OWLETS-2 campaign. Atmos. Environ., 263, 118669, https://doi.org/10.1016/j.atmosenv.2021.118669.
Campbell, Patrick C.;Daniel Tong, Youhua Tang, Barry Baker, Pius Lee, Rick Saylor, Ariel Stein, Siqi Ma, Lok Lamsal, and Zhen Qu, 2021: Impacts of the COVID-19 economic slowdown on ozone pollution in the U.S. Atmos. Environ., 264, 118713, https://doi.org/10.1016/j.atmosenv.2021.118713.
Cao, Changyong; Bin Zhang, Xi Shao, Wenhui Wang, Sirish Uprety, Taeyoung Choi, Slawomir Blonski, Yalong Gu, Yan Bai, Lin Lin, and Satya Kalluri, 2021: Mission-long recalibrated science quality Suomi NPP VIIRS radiometric dataset using advanced algorithms for time series studies. Remote Sens., 13, 1075, https://doi.org/10.3390/rs13061075.
Chen, Yong;Xi Shao, Changyong Cao, and Shu-peng Ho, 2021: Simultaneous radio occultation predictions for inter-satellite comparison of bending angle profiles from COSMIC-2 and GeoOptics. Remote Sens., 13, 3644, http://dx.doi.org/10.3390/rs13183644.
Cheng, Lijing; John Abraham, Kevin E. Trenberth, John Fasullo, Tim Boyer, Ricardo Locarnini, Bin Zhang, Fujiang Yu, Liying Wan, Xingrong Chen, Xiangzhou Song, Yulong Liu, Michael E. Mann, Franco Reseghetti, Simona Simoncelli, Viktor Gouretski, Gengxin Chen, Alexey Mishonov, James Reagan, and Jiang Zhu, 2021: Upper ocean temperatures hit record high in 2020. Adv. Atmos. Sci., 38(4), 523–530, https://doi.org/10.1007/s00376-021-0447-x.
Cheung, Mandy W.M.; Karlo Hock, William Skirving,and Peter J. Mumby, 2021: Cumulative bleaching undermines systemic resilience of the Great Barrier Reef. Curr. Biol., 31, 5385–5392.e4, https://doi.org/10.1016/j.cub.2021.09.078.
Dennis, Eli J.;andErnesto Hugo Berbery, 2021: The role of soil texture in local land surface–atmosphere coupling and regional climate. J. Hydrometeor., 22(2), 313–330, https://doi.org/10.1175/JHM-D-20-0047.1.
Gan, Yanjun; Yu Zhanga, Cezar Kongoli, Christopher Grassotti, Yuqiong Liu, Yong-Keun Lee, and Dong-Jun Seo, 2021: Evaluation and blending of ATMS and AMSR2 snow water equivalent retrievals over the conterminous United States. Remote Sens. Environ., 254, 112280, https://dx.doi.org/10.1016/j.rse.2020.112280.
Geiger, Erick F.;Scott F. Heron, William J. Hernández, Jamie M. Caldwell, Kim Falinski, Tova Callender, Austin L. Greene, Gang Liu, Jacqueline L. De La Cour, Roy A. Armstrong, Megan J. Donahue, and C. Mark Eakin, 2021: Optimal spatiotemporal scales to aggregate satellite ocean color data for nearshore reefs and tropical coastal waters: Two case studies. Front. Mar. Sci., 8, 643302, https://doi.org/10.3389/fmars.2021.643302[in the special issue Remote Sensing for Applied Coral Reef Science and Management].
Gilliam, Robert C.; Jerold A. Herwehe, O. Russell Bullock Jr., Jonathan E. Pleim, Limei Ran, Patrick C. Campbell, and Hosein Foroutan, 2021: Establishing the suitability of the Model for Prediction Across Scales-Atmosphere (MPAS-A) for global retrospective air quality modeling. J. Geophys. Res. Atmos., 126(10), e2020JD033588, https://doi.org/10.1029/2020JD033588.
Glenn, Equisha;Thomas M. Smith, Jose M. Gálvez, Michel Davison, Keneshia Hibbert, and Jorge E. González., 2021: Tropical convection in the Caribbean and surrounding region during a regional, warming sea-surface temperature period, 1982 – 2020. Hydrology, 8(2), 56, https://doi.org/10.3390/hydrology8020056.
Gu, Yalong; Slawomir Blonski, Wenhui Wang, Sirish Uprety, Taeyoung Choi, Xi Shao, Bin Zhang, and Changyong Cao, 2021: Improved NOAA-20 Visible Infrared Imaging Radiometer Suite Day/Night Band image quality by upgraded gain calibration. Remote Sens., 13, 2509. https://doi.org/10.3390/rs13132509.
Halloran, Paul R.; Jennifer K. McWhorter, Beatriz A. Nava, Robert Marsh, and William Skirving, 2021: S2P3-R v2.0: computationally efficient modelling of shelf seas on regional to global scales. Geosci. Model Dev., 14, 6177–6195, https://doi.org/10.5194/gmd-14-6177-2021.
Herrera Estrella, Eder; Alexander Gilerson, Robert Foster, and Philipp Groetsch, 2021: Spectral decomposition of remote sensing reflectance variance due to the spatial variability from ocean color and high-resolution satellite sensors. J. Appl. Remote Sens., 15(2), 024522, https://doi.org/10.1117/1.JRS.15.024522.
Hu, Zeng-Zhen; Arun Kumar, and Jieshun Zhu, 2021: Dominant modes of ensemble mean signal and noise in seasonal forecasts of SST. Climate Dyn., 56(3-4), 1251–1264, https://doi.org/10.1007/s00382-020-05531-9.
Huang, Boyin; Chunying Liu,Eric Freeman, Garrett Graham, Tom Smith, and Huai-Min Zhang, 2021: Assessment and intercomparison of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) version 2.1. J. Climate, 34(18), 7421–7441, https://doi.org/10.1175/JCLI-D-21-0001.1.
Huang, Boyin; Chunying Liu, Viva Banzon, Eric Freeman, Garrett Graham, Bill Hankins, Tom Smith, and Huai-Min Zhang, 2021: Improvements of the Daily Optimum Interpolation Sea Surface Temperature (DOISST) version 2.1. J. Climate, 34, 2923–2939, https://doi.org/10.1175/JCLI-D-20-0166.1.
International Altimetry Team (including Sinead Farrell and Yongsheng Zhang), 2021: Altimetry for the future: Building on 25 years of progress. Adv. Space Res., 68(2), 317–363, https://doi.org/10.1016/j.asr.2021.01.022.
Jiang, Li-Qing;Richard A. Feely, Rik Wanninkhof, Dana Greeley, Leticia Barbero, Simone Alin, Brendan R. Carter, Denis Pierrot, Charles Featherstone, James Hooper, Chris Melrose, Natalie Monacci, Jonathan D. Sharp, Shawn Shellito, Yuan-Yuan Xu, Alex Kozyr, Robert H. Byrne, Wei-Jun Cai, Jessica Cross, Gregory C. Johnson, Burke Hales, Chris Langdon, Jeremy Mathis, Joe Salisbury, and David W. Townsend, 2021: Coastal Ocean Data Analysis Product in North America (CODAP-NA) – an internally consistent data product for discrete inorganic carbon, oxygen, and nutrients on the North American ocean margins. Earth Syst. Sci. Data, 13, 2777–2799, https://doi.org/10.5194/essd-13-2777-2021.
Jing, Xin;Xi Shao, Tung-Chang Liu, and Bin Zhang, 2021: Comparison of GRUAN RS92 and RS41 radiosonde temperature biases. Atmosphere, 12(7), 857, https://doi.org/10.3390/atmos12070857.
Khalid, Arslaan; Tyler Miesse, Ehsan Erfani, Sam Thomas, Celso Ferreira, Kathy Pegion, Natalie Burls, and Julia Manganello, 2021: Evaluating storm surge predictability on subseasonal timescales for flood forecasting applications: A case study for Hurricane Isabel and Katrina. Wea. Climate Extremes, 34, 100378, https://doi.org/10.1016/j.wace.2021.100378.
Krishnamurthy, Venkataramanaia; Jessica Meixner, Lydia Stefanova, Jiande Wang, Denise Worthen, Shrinivas Moorthi, Bin Li, Travis Sluka, and Cristiana Stan, 2021: Sources of subseasonal predictability over CONUS during boreal summer. J. Climate, 34, 3273–3294, https://doi.org/10.1175/JCLI-D-20-0586.1.
Lachs, Liam; John Bythell, Holly East, Alasdir Edwards, Peter Mumby, Wiilliam Skirving, Blake Spady, and James Guest, 2021: Fine-tuning heat stress algorithms to optimise global predictions of mass coral bleaching. Remote Sens. 13, 2677, https://doi.org/10.3390/rs13142677.
Lauvset, Siv K.; Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Marta Álvarez, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Steven van Heuven, Mario Hoppema, Masao Ishii, Emil Jeansson, Sara Jutterström, Steve D. Jones, Maren K. Karlsen, Claire Lo Monaco, Patrick Michaelis, Akihiko Murata, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Anton Velo, Rik Wanninkhof, Ryan J. Woosley, and Robert M. Key, 2021: An updated version of the GLobal interior Ocean biogeochemical DAta Product, GLODAPv2.2021. Earth Syst. Sci. Data, 13, 5565–5589, https://doi.org/10.5194/essd-13-5565-2021.
Lee, Yong-Keun; Quanhua Liu, Christopher Grassotti , Xingming Liang, Shuyan Liu, Yan Zhou, and Ming Fan, 2021: Preliminary development and testing of an EPS-SG microwave sounder proxy data generator using the NOAA Microwave Integrated Retrieval System. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 14, 3151–3161, https://dx.doi.org/10.1109/JSTARS.2021.3061946.
Li, Yunyao;Daniel Tong, Siqi Ma, Xiaoyang Zhang, Shobha Kondragunta ,Fangjun Li , and Rick Saylor, 2021: Dominance of wildfires impact on air quality exceedances during the 2020 record-breaking wildfire season in the United States. Geophys. Res. Lett., 48(21), e2021GL094908, https://doi.org/10.1029/2021GL094908.
Liang, Xingming;and Quanhua Liu, 2021: Applying deep learning to clear-sky radiance simulation for VIIRS with Community Radiative Transfer Model Part 1: Develop AI-based clear-sky mask. Remote Sens., 13, 222, https://dx.doi.org/10.3390/rs13020222.
Liang, Xingming;and Quanhua Liu, 2021: Applying deep learning to clear-sky radiance simulation for VIIRS with Community Radiative Transfer Model Part 2: Model architecture and assessment. Remote Sens., 13(22), 3825, https://doi.org/10.3390/rs12223825.
Lin, Lin; Xianjun Hao, Bin Zhang, Cheng-Zhi Zou, and Changyong Cao, 2021: Assessment of the reprocessed Suomi NPP VIIRS enterprise cloud mask product. Remote Sens., 13, 2502. https://doi.org/10.3390/rs13132502.
Liu, Quanhua; Changyong Cao, Christopher Grassotti, Lee, Yong-Keun, 2021: How can microwave observations at 23.8 GHz help in acquiring water vapor in the atmosphere over land? Remote Sens. 2021, 13, 489, https://doi.org/10.3390/rs13030489.
Liu, Quanhua; Changyong Cao, Christopher Grassotti, Xingming Liang, and Yong Chen, 2021: Experimental OMPS radiance assimilation through one-dimensional variational analysis for total column ozone in the atmosphere. Remote Sens., 13, 3418, https://doi.org/10.3390/rs1317341.
Lotterhos, Katie E.; Áki J. Láruson, and Li-Qing Jiang, 2021: Novel and disappearing climates in the global surface ocean from 1800 to 2100, Sci. Rep., 11, 15535, https://doi.org/10.1038/s41598-021-94872-4.
Loughner, Christopher P.; Benjamin Fasoli, Ariel F. Stein, and John C. Lin, 2021: Incorporating features from the Stochastic Time-Inverted Lagrangian Transport (STILT) model into the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model: A unified dispersion model for time-forward and time-reversed applications. J. Appl. Meteor. Climatol., 60(6), 799–810, https://doi.org/10.1175/JAMC-D-20-0158.1.
Lovino, Miguel A.; María Josefina Pierrestegui; Omar V. Müller; Ernesto Hugo Berbery: Gabriela V. Müller, and Max Pasten, 2021: Historical best-performing CMIP6 models and their future projections of temperature and precipitation in Paraguay. Climatic Change,164(3-4),46, https://doi.org/10.1007/s10584-021-03012-4.
Lukens, Katherine E.;Kayo Ide, Kevin Garrett, Hui Liu, David Santek, Brett Hoover, and Ross N. Hoffman, 2021: Exploiting Aeolus Level-2B winds to better characterize atmospheric motion vector bias and uncertainty. Atmos. Meas. Tech., 15, 2719–2743, https://doi.org/10.5194/amt-15-2719-2022.
Lyu, Congmeng; Shannon L. Capps, Kent Kurashima, Daven K. Henze, Gordon Pierce, Amir Hakami Shunliu Zhao, Jaroslav Resler, Gregory R. Carmichael, Adrian Sandu, Armistead G. Russell, Tianfeng Chai, and Jana Milford, 2021: Evaluating oil and gas contributions to ambient nonmethane hydrocarbon mixing ratios and ozone-related metrics in the Colorado Front Range. Atmos. Environ., 246, 118113, https://doi.org/10.1016/j.atmosenv.2020.118113.
Ma, Siqi; Daniel Tong, Lok Lamsal, Julian Wang, Xuelei Zhang, Youhua Tang,, Rick Saylor, Tianfeng Chai, Pius Lee, Patrick Campbell, Barry Baker, Shobha Kondragunta, Laura Judd, Timothy A. Berkoff, Scott J. Janz, and Ivanka Stajner, 2021: Improving predictability of high-ozone episodes through dynamic boundary conditions, emission refresh and chemical data assimilation during the Long Island Sound Tropospheric Ozone Study (LISTOS) field campaign. Atmos. Chem. Phys., 21(21), 16531–16553, https://doi.org/10.5194/acp-21-16531-2021.
MacGregor, Joseph A.; Linette N. Boisvert, Brooke Medley, Alek A. Petty, Jeremy P. Harbeck, Robin E. Bell, J. Bryan Blair, Edward Blanchard-Wrigglesworth, Ellen M. Buckley, Michael S. Christoffersen, James R. Cochran, Beáta M. Csathó, Eugenia L. De Marco, RoseAnne T. Dominguez, Mark A. Fahnestock, Sinéad L. Farrell, S. Prasad Gogineni, Jamin S. Greenbaum, Christy M. Hansen, Michelle A. Hofton, John W. Holt, Kenneth C. Jezek, Lora S. Koenig, Nathan T. Kurtz, Ronald Kwok, Christopher F. Larsen, Carlton J. Leuschen, Caitlin D. Locke, Serdar S. Manizade, Seelye Martin, Thomas A. Neumann, Sophie M.J. Nowicki, John D. Paden, Jacqueline A. Richter-Menge, Eric J. Rignot, Fernando Rodríguez-Morales, Matthew R. Siegfried, Benjamin E. Smith, John G. Sonntag, Michael Studinger, Kirsty J. Tinto, Martin Truffer, Thomas P. Wagner, John E. Woods, Duncan A. Young, and James K. Yungel, 2021: The scientific legacy of NASA's Operation IceBridge. Rev. Geophys., 59(2), e2020RG000712, https://doi.org/10.1029/2020RG000712.
McBride, Laura A.; Austin P. Hope,Timothy P. Canty, Brian F. Bennett, Walter R. Tribett, and Ross J. Salawitch,2021: Comparison of CMIP6 historical climate simulations and future projected warming to an empirical model of global climate. Earth Syst. Dyn., 12(2), 545–579, https://doi.org/10.5194/esd-12-545-2021.
McWhorter, Jennifer K.; Paul R. Halloran, George Roff, William J. Skirving, Chris T. Perry, and Peter J. Mumby, 2021: The importance of 1.5°C warming for the Great Barrier Reef. Global Change Biol., 28, 1332-1341, https://doi.org/10.1111/gcb.15994.
Memari, Sama S.; and T. Prabhakar Clement, 2021: PySWR- A Python code for fitting soil water retention functions. Comput. Geosci., 156, 104897, https://doi.org/10.1016/j.cageo.2021.104897.
Miller, Douglass; John Forsythe, Sheldon Kusselson, William Straka III, Jifu Yin , Xiwu Zhan, and Ralph Ferraro, 2021: A study of two impactful heavy rainfall events in the southern Appalachian Mountains during early 2020, Part I; Societal impacts, synoptic overview, and historical context. Remote Sens. 13, 2452, https://doi.org/10.3390/rs13132452.
Miller, Douglass; Malarvizhi Arulraj, Ralph Ferraro, Christopher Grassotti, Bob Kuligowski, Shuyan Liu, Veljko Petkovic, Shaorong Wu, and Pingping Xie, 2021: Study of two impactful heavy rainfall events in the southern Appalachian Mountains during early 2020, Part II: Regional overview, rainfall evolution, and satellite QPE utility. Remote Sens., 13, 2500, https://doi.org/10.3390/rs13132500.
Pan, Chunhui; Banghua Yan, Changyong Cao, Lawrence Flynn, Xiaozhen Xiong, Eric Beach, and LihangZhou, 2021: Performance of OMPS Nadir Profilers’ Sensor Data Records. IEEE Trans. Geosci. Remote Sens., 59(8), 6885–6893, https://dx.doi.org/10.1109/TGRS.2020.3026586.
Platt, Jason A.; Adrian Wong, Randall Clark, Stephen G. Penny, and Henry D. I. Abarbanel, 2021: Robust forecasting using predictive generalized synchronization in reservoir computing. Chaos, 31(12), 123118, https://doi.org/10.1063/5.0066013.
Poterjoy, Jonathan;Ghassan Alaka, and Henry Winterbottom, 2021: The irreplaceable utility of sequential data assimilation for numerical weather prediction system development: Lessons learned from an experimental HWRF system. Wea. Forecasting, 36, 661–677, https://doi.org/10.1175/WAF-D-20-0204.1.
Qu, Zhen; Daniel J. Jacob, Rachel F. Silvern, Viral Shah, Patrick C. Campbell, Lukas C. Valin, and Lee T. Murray, 2021: US COVID-19 shutdown demonstrates importance of background NO2 in inferring NOx emissions from satellite NO2 observations. Geophys. Res. Lett., 48(10), e2021GL092783. https://doi.org/10.1029/2021GL092783.
Rishmawi, Khaldoun; Chengquan Huang, and Xiwu Zhan, 2021: Monitoring key forest structure attributes across the conterminous United States by integrating GEDI LiDAR measurements and VIIRS data. Remote Sens., 13, 442, https://doi.org/10.3390/rs13030442.
Rösel, Anja;Sinéad Louise Farrell, Vishnu Nandan, V., Jaqueline Richter-Menge, Gunnar Spreen, Dmitry V. Divine, Adam Steer, Jean-Charles Gallet, and Sebastian Gerland, 2021: Implications of surface flooding on airborne thickness measurements of snow on sea ice. Cryosphere, 15(6), 2819–2833, https://doi.org/10.5194/tc-15-2819-2021.
Sainju, Arpan Man; Wenchong He,Zhe Jiang, Da Yan, and Haiquan Chen, 2021: flood inundation mapping with limited observations based on physics-aware topography constraint. Front. Big Data,4, 707951,https://doi.org/10.3389/fdata.2021.707951.
Seidov, Dan;Alexey Mishonov, and Rost Parsons, 2021: Recent warming and decadal variability of Gulf of Maine and slope water. Limnol. Oceanogr., 66(9), 3472–3488, https://doi.org/10.1002/lno.11892.
Sgroi, Leandro Carlos; Miguel Angel Lovino, Ernesto Hugo Berbery, and Gabriela Viviana Müller, 2021: Characteristics of droughts in Argentina’s core crop region. Hydrol. Earth Syst. Sci., 25(5), 2475–2490, https://doi.org/10.5194/hess-25-2475-2021.
Shao, Xi; Shu-peng Ho,Bin Zhang, Changyong Cao, and Yong Chen. 2021: Consistency and stability of SNPP ATMS microwave observations and COSMIC-2 radio occultation over oceans. Remote Sens., 13, 3754, http://dx.doi.org/10.3390/rs13183754.
Shao, Xi;Shu-Peng Ho; Bin Zhang; Xinjia Zhou; Kireev, Stanislav; Yong Chen; and Changyong Cao, 2021: Comparison of COSMIC-2 radio occultation retrievals with RS41 and RS92 radiosonde humidity and temperature measurements.Terr. Atmos. Oceanic Sci., 32(6), 1–18, https://doi.org/10.3319/TAO.2021.12.30.02.
Shao, Xi; Xiangqian Wu, Fangfang Yu, and Changyong Cao, 2021: Characterization and monitoring of GOES-16 ABI stray light and comparison with Himawari-8 AHI and GOES-17 ABI. J. Appl. Remote Sens., 15(1), 017503, https://doi.org/10.1117/1.JRS.15.017503.
Skirving, William;Andrew Pomeroy, Robert McCall, John Marra and Curt Storlazzi, 2021: EDITORIAL: Flooding on coral reef-lined coasts: Current state of knowledge and future challenges. Front. Mar. Sci., 7, 635240,https://doi.org/10.3389/fmars.2020.635240.
Sun, Bomin Xavier Calbet; Anthony Reale, Steven Schroeder, Manik Bali, Ryan Smith, and Michael Pettey, 2021: Accuracy of Vaisala RS41 and RS92 upper tropospheric humidity compared to satellite hyperspectral infrared measurements. Remote Sens., 13, 173, https://doi.org/10.3390/rs13020173.
Tang, Youhua; Huisheng Bian, Zhining Tao, Luke D. Oman, Daniel Tong, PiusLee, Patrick C. Campbell, Barry Baker, Cheng-Hsuan Lu, Li Pan, Jun Wang, Jeffrey McQueen, and Ivanka Stajner,2021: Comparison of chemical lateral boundary conditions for air quality predictions over the contiguous United States during pollutant intrusion events. Atmos. Chem. Phys., 21, 2527–2550, https://doi.org/10.5194/acp-21-2527-2021.
Tian, Jingjing; Yunyan Zhang, Stephen A. Klein, Likun Wang, Rusen Öktem, and David M. Romps, 2021: Summertime continental shallow cumulus cloud detection using GOES-16 satellite and ground-based stereo cameras at the DOE ARM Southern Great Plains site. Remote Sens., 13(12), 2309, https://doi.org/10.3390/rs13122309.
Wang, Junwei; Zhongping Lee, Daosheng Wang, Shaoling Shang, Jianwei Wei, andAlex Gilerson, 2021: Atmospheric correction over coastal waters with aerosol properties constrained by multi-pixel observations. Remote Sens. Environ., 265, 112633, https://doi.org/10.1016/j.rse.2021.112633.
Wang, Likun; Narges Shahroudi, Eric Maddy, Kevin Garrett, Sid Boukabara, Ross Hoffman, and Kayo Ide, 2021: Orbit simulator for satellite and near space platforms supporting observing system simulation experiments. J. Atmos. Oceanic Technol., 38(12), 2109–2123, https://doi.org/10.1175/JTECH-D-21-0066.1.
Wang, Tianyuan; Lihang Zhou, Changyi Tan, Murty Divakarla, Ken Pryor, Juying Warner, Zigang Wei, Mitch Goldberg, and Nicholas R. Nalli, 2021: Validation of near-real-time NOAA-20 CrIS outgoing longwave radiation with multi-satellite datasets on broad timescales. Remote Sens., 13, 3912. https://doi.org/10.3390/rs13193912.
Wang, Wenhui; and Changyong Cao, 2021: NOAA-20 and SNPP VIIRS thermal emissive bands on-orbit calibration algorithm update and long-term performance inter-comparison. Remote Sens.,13(3), 448, https://doi.org/10.3390/rs13030448.
Xue, Liang; Wei-Jun Cai, Li-Qing Jiang, and Qinsheng Wei, 2021: Why are surface ocean pH and CaCO3 saturation state often out of phase in spatial patterns and seasonal cycles? Global Biogeochem. Cycles, 35, e2021GB006949, https://doi.org/10.1029/2021GB006949.
Yan, Banghua; Mitch Goldberg, Xin Jin, Ding Liang, Jingfeng Huang, Warren Porter, Ninghai Sun, Lihang Zhou, Chunhui Pan, Flavio Iturbide-Sanchez, Quanhua Liu, and Kun Zhang, 2021: A new 32-Day average-difference method for calculating inter-sensor calibration radiometric biases between SNPP and NOAA-20 instruments within ICVS framework. Remote Sens., 13(16), 3079, https://doi.org/10.3390/rs13163079.
Yang, Hu; Jun Zhou, Ninghai Sun, Quanhua Liu, Robert Leslie, Kent Anderson, Edward Kim, Cheng-Hsan Lyu, Craig Smith, and Lisa McCormick, 2021: 2D lunar microwave radiance observations from the NOAA-20 ATMS. IEEE Geosci. Remote Sens. Lett., 18(11), 2021-2024, https://doi.org/10.1109/LGRS.2020.3012518.
.
You, Yalei;Christa Peters-Lidard, S. Joseph Munchak, Jackson Tan, Scott Braun, Sarah Ringerud, William Blackwell, John Xun Yang, Eric Nelkin, and Jun Dong, 2021: Improving cross-track scanning radiometers’ precipitation retrieval over ocean by morphing. J. Hydrometeor., 22(9), 2393–2406, https://doi.org/10.1175/JHM-D-21-0038.1.
You, Yalei; S. Joseph Munchak, Christa Peters-Lidard, and Sarah Ringerud, 2021: Daily rainfall estimate by emissivity temporal variation from 10 satellites. J. Hydrometeor., 22(3), 623–637, https://doi.org/10.1175/JHM-D-20-0195.1.
Yu, Fangfang; Xiangqian Wu, Hyelim Yoo, Haifeng Qian, Xi Shao, Zhipeng Wang, and Robert Iacovazzi, 2021: Radiometric calibration accuracy and stability of GOES-16 ABI Infrared radiance. J. Appl. Remote Sens. 15, 048504, https://doi.org/10.1117/1.JRS.15.048504.
Zhang, Bin; Changyong Cao, Tung-Chang Liu, and Xi Shao, 2021: Spectral recalibration of NOAA HIRS longwave CO2 channels toward a 40+ year time series for climate studies. Atmosphere, 12, 1317, http://dx.doi.org/10.3390/atmos12101317.
Zhang, Qingyuan; 2021: Characterization of a seasonally snow-covered evergreen forest ecosystem, Int. J. Appl. Earth Obs. Geoinf., 103, 102464, https://doi.org/10.1016/j.jag.2021.102464.
Zhou, Yan; Narges Shahroudi, Tong Zhu, Flavio Iturbide-Sanchez, Eric S. Maddy, Sid-Ahmed Boukabara, Kayo Ide,andRoss N. Hoffman, 2021: A preliminary assessment of the value and impact of multiple configurations of constellations of EON-MW, a proposed 12U microwave sounder CubeSat for global NWP. Tellus, Ser. A, 73, 1-26, https://doi.org/10.1080/16000870.2020.1857143.
Zhu, Jieshun;Guillaume Vernieres, Travis Sluka, Stylianos Flampouris, Arun Kumar, Avichal Mehra, Meghan Cronin, Dongxiao Zhang, Samantha Wills, Jiande Wang, and Wanqiu Wang, 2021: Roles of TAO/TRITON and Argo in tropical Pacific observing system: An OSSE study for multiple time scale variability. J. Climate, 34(16), 6797–6817, https://doi.org/10.1175/JCLI-D-20-0951.1.
Zou, Cheng-Zhi;Hui Xu, Xianjun Hao, and Qiang Fu, 2021: Post-millennium atmospheric temperature trends observed from satellites in stable orbits. Geophys. Res. Lett., 48, e2021GL093291, https://doi.org/10.1029/2021GL093291.