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

2022 CISESS Articles

Abushakra, Feras;Nathan Jeong, Deepak N. Elluru, Abhishek K. Awasthi, Shriniwas Kolpuke, Tuan Luong, Omid Reyhanigalangashi, Drew Taylor andS. Prasad Gogineni, 2022a: A miniaturized ultra-wideband radar for UAV remote sensing applications. IEEE Microwave Wireless Compon. Lett., 32(3), 198-201, https://doi.org/10.1109/LMWC.2021.3129153.

Abushakra, Feras; Nathan Jeong, Abhishek K. Awasthi,Shriniwas Kolpuke, Christopher Simpson, Omid Reyhanigalangashi, Deepak N. Elluru, Aabhash Bhandari, Drew Taylor, S. Prasad Gogineni, 2022b:  Ultra-Wideband Coplanar Vivaldi Antenna Array with Dielectric Patch Antenna for Grating Lobes Suppression. IEEE Access, 10,https://doi.org/10.1109/ACCESS.2022.3175840.

Boukabara, Sid-Ahmed., and Ross N. Hoffman, 2022: Optimizing observing systems using ASPEN: An analysis tool to assess the benefit and cost effectiveness of observations to earth system applications, Bull. Am. Meteorol. Soc., 103(10), E2417–E2439, https://doi.org/10.1175/bams-d-22-0004.1

Boyer, Tim; Huai-min Zhang; Kevin O'Brien; James Reagan; Stephen Diggs; Eric Freeman; Hernan Garcia; Emma Heslop;Patrick Hogan; Boyin Huang; Li-Qing Jiang; Alex Kozyr; Chunying Liu; Ricardo Locarnini; Alexey V. Mishonov; Christopher Paver; Zhankun Wang; Melissa Zweng; Simone Alin; Leticia Barbaro; John A. Barth; Mathieu Belbeoch; Just Cebrian; Kenneth Connell; Rebecca Cowley; Dmitry Dukhovskoy; Nancy Galbraith; Gustavo Goni; Fred Katz; Martin Kramp; Arun Kumar; David Legler; Rick Lumpkin; Clive McMahon; Denis Pierrot; Albert Plueddemann; Emily A. Smith; Adrienne Sutton; Victor Turpin; Long Jiang; Suneel Vasimalla; Rik Wanninkof; Robert Weller; Annie P. Wong, 2022: The effects of the pandemic on observing the global ocean, Bull. Amer. Meteor. Soc., 104(2), E389–E410,https://doi.org/10.1175/BAMS-D-21-0210.1.

Campbell, Patrick C.;Youhua Tang, Pius Lee,Barry Baker, Daniel Tong, Rick Saylor, Ariel Stein, Jianping Huang, Ho-Chun Huang, Jeff McQueen, Li Pan, Ivanka Stajner, Jamese Sims, Jose Tirado-Delgado, Youngsun Jung, Fanglin Yang, Tanya L. Spero, and Robert C. Gilliam, 2022a: Development and evaluation of an advanced National Air Quality Forecast Capability using the NOAA Global Forecast System version 16, Geosci. Model Dev., 15(8), 3281–3313, https://doi.org/10.5194/gmd-15-3281-2022.

Campbell, Patrick; Daniel Tong, Rick Saylor, Yunyao Li, Siqi Ma, Xiaoyang Zhang, Shobha Kondragunta and Fangjun Li, 2022b:  Pronounced increases in nitrogen emissions and deposition due to the historic 2020 wildfires in the western U.S., Sci. Total Environ., 839, 156130, https://doi.org/10.1016/j.scitotenv.2022.156130.

Cao, Changyong; Bin Zhang, Frank Xia, and Yan Bai, 2022: Exploring VIIRS night light long-term time series with CNN/SI for urban change detection and aerosol monitoring. Remote Sens., 14(13), 3126, https://doi.org/10.3390/rs14133126.

Chang, Yue; Jingfeng Xiao, Xuxiang Li, Steve Frolking, Decheng Zhou, Annemarie Schneider, Qihao Weng, Peng Yu, Xufeng Wang, Xing Li, Shuguang Liu and Yiping Wu, 2022: Exploring diurnal cycles of surface urban heat island intensity in Boston with land surface temperature data derived from GOES-R geostationary satellites, Sci. Total Environ., 763, 144224, https://doi.org/10.1016/j.scitotenv.2020.144224.

Chen, Yong, Changyong Cao, Xi Shao, and Shu-Peng Ho, 2022: Assessment of the consistency and stability of CrIS infrared observations using COSMIC-2 radio occultation data over ocean. Remote Sens., 14(11), 2721, https://doi.org/10.3390/rs14112721

Chen, Yong; Flavio Iturbide-Sanchez, Denis Tremblay, David Tobin, Larrabee Strow, Likun Wang, Daniel L. Mooney, David Johnson, Joe Predina, Lawrence Suwinski, Henry E. Revercomb, Ninghai Sun, Bin Zhang, Changyong Cao, Satya Kalluri and Lihang Zhou, 2022: Reprocessing of Suomi NPP CrIS Sensor Data Records to improve the radiometric and spectral long-term accuracy and stability, in IEEE Transactions on Geoscience and Remote Sensing, 60, 5502714, https://dx.doi.org/10.1109/TGRS.2021.3060639.

Cheng, Lijing; John Abraham, Kevin E. Trenberth, John Fasullo, Tim Boyer, Michael E. Mann, Jiang Zhu, Fan Wang, Ricardo Locarnini, Yuanlong Li, Bin Zhang, Fujiang Yu, Liying Wan, Xingrong Chen, Licheng Feng, Xiangzhou Song, Yulong Liu, Franco Reseghetti, Simona Simoncelli, Viktor Gouretski, Gengxin Chen,Alexey Mishonov, Jim Reagan, and Guancheng Li, 2022: Another Record: Ocean warming continues through 2021 despite La Niña Conditions. Adv. Atmos. Sci. 39(3), 373–385, https://doi.org/10.1007/s00376-022-1461-3.

Choi, Taeyoung; Changyong Cao, Xi Shao, andWenhui Wang, 2022: S-NPP VIIRS lunar calibrations over 10 years in reflective solar bands (RSB). Remote Sens.14(14), 3367, https://doi.org/10.3390/rs14143367.

Coral Reef Conservation Program (including Jacqueline De La Cour), 2022: Implementation of the Coral Reef Conservation Program Fiscal Years 2020‒2021, https://repository.library.noaa.gov/view/noaa/45011.

Crawford, Alice; Chai, Tianfeng; Wang, Binyu; Ring, Allison; Stunder, Barbara; Loughner, Christopher P.; Pavolonis, Michael, and Sieglaff, Justin, 2022: Evaluation and bias correction of probabilistic volcanic ash forecasts, Atmos. Chem. Phys., 22(21), 13967–13996, https://doi.org/10.5194/acp-22-13967-2022.

Demaeyer, Jonathan; Stephen G. Penny, Stéphane Vannitsem, 2022: Identifying efficient ensemble perturbations for initializing subseasonal-to-seasonal prediction. J. Adv. Model. Earth Syst., 14(5), e2021MS002828, https://doi.org/10.1029/2021MS002828.

Dennis, Eli J.; andE. Hugo Berbery, 2022: The effects of soil representation in WRF/CLM on the atmospheric moisture budget. J. Hydrometeor., 23(5), 681–696, http://dx.doi.org/10.1175/JHM-D-21-0101.1

Fang,Li; Xiwu Zhan, Satya Kalluri, Peng Yu, Chris Hain, Martha Anderson and Istvan Laszlo, 2022: Application of a machine learning algorithm in generating an evapotranspiration data product from coupled thermal infrared and microwave satellite observations. Front. Big Data, 5, 768676, https://doi.org/10.3389/fdata.2022.768676

Frame, Jonathan M.; Frederik Kratzert, Daniel Klotz, Martin Gauch, Guy Shelev, Oren Gilon, Logan M. Qualls, Hoshin V. Gupta and Grey S. Nearing, 2022: Deep learning rainfall–runoff predictions of extreme events. Hydrol. Earth Syst. Sci., 26, 3377–3392, https://doi.org/10.5194/hess-26-3377-2022.

Galarneau, Thomas J.; Jr., Louis J. Wicker, Kent H. Knopfmeier, William J. S. Miller, Patrick S. Skinner, and Katie A. Wilson, 2022: Short-term prediction of a nocturnal significant tornado outbreak using a convection-allowing ensemble. Wea. Forecasting37(6), 1027–1047,  https://doi.org/10.1175/WAF-D-21-0160.1

Galvez, Kimberly; Sam Candio, Thomas Morrow, and Anna Lienesch, 2022: Okeanos Explorer ROV Dive Summary: EX-22-01, Dive 01, February 24, 2022.  NOAA Technical Report, https://repository.library.noaa.gov/view/noaa/38350.

Galvez, Kimberly; Sam Candio, Thomas Morrow, and Anna Lienesch, 2022: Okeanos Explorer ROV Dive Summary: EX-22-01, Dive 02, February 25, 2022. NOAA Technical Report, https://repository.library.noaa.gov/view/noaa/38351.

Galvez, Kimberly; Sam Candio, Thomas Morrow, and Anna Lienesch, 2022: Okeanos Explorer ROV Dive Summary: EX-22-01, Dive 03, February 26, 2022. NOAA Technical Report, https://repository.library.noaa.gov/view/noaa/38352.

Galvez, Kimberly; Sam Candio, Thomas Morrow, and Anna Lienesch, 2022:Okeanos Explorer ROV Dive Summary: EX-22-01, Dive 04, February 27, 2022. NOAA Technical Report, https://repository.library.noaa.gov/view/noaa/38353.

Galvez, Kimberly; Sam Candio, Thomas Morrow, and Anna Lienesch, 2022:  Okeanos Explorer ROV Dive Summary: EX-22-01, Dive 05, February 28, 2022. NOAA Technical Report, https://repository.library.noaa.gov/view/noaa/38354.

Galvez, Kimberly; Sam Candio, Thomas Morrow, and Anna Lienesch, 2022: Okeanos Explorer ROV Dive Summary: EX-22-01, Dive 06, March 01, 2022. NOAA Technical Report, https://repository.library.noaa.gov/view/noaa/38355.

Galvez, Kimberly; Sam Candio, Thomas Morrow, and Anna Lienesch, 2022:  Okeanos Explorer ROV Dive Summary: EX-22-01,Dive 07, March 02, 2022.  NOAA Technical Report, https://repository.library.noaa.gov/view/noaa/38356.

Gan, Yanjun; Yu Zhang, Yuqiong Liu, Cezar Kongoli and Christopher Grassotti, 2022: Assimilation of blended in situ-satellite snow water equivalent into the National Water Model for improving hydrologic simulation in two US river basins. Sci. Total Environ., 838 (Pt 4), 156567, http://dx.doi.org/10.1016/j.scitotenv.2022.156567.

Gardner, Wilford D.; Mary Jo Richardson, Alexey Mishonov, Pheobe Lam and Yang Xiang, 2022a: Distribution, sources, and dynamics of particulate matter along trans-Arctic sections. J. Geophys. Res. Oceans, 127(6), e2021JC017970,https://doi.org/10.1029/2021JC017970  [in Special Section on Uncovering the Hidden Links between Dynamics, Chemical, Biogeochemical and Biological Processes under the Changing Arctic].

Gardner, Wilford D.; Mary Jo Richardson, Alexey V. Mishonov, Daniel A. Bean and Juan Carlos Herguera, 2022b: Nepheloid layers in the deep Gulf of Mexico. Mar. Geol., 454, 106950, https://doi.org/10.1016/j.margeo.2022.106950.

Garrett, Kevin; Hui Liu, Kayo Ide, Ross Hoffman and Katherine Lukens, 2022: Optimization and impact assessment of Aeolus HLOS wind data assimilation in NOAA’s Global Forecast System. Quart. J. Roy. Meteor. Soc. B, 148, 2703, https://doi.org/10.1002/qj.4331.

Godin-Beekmann;Sophie; Niramson Azouz, Viktoria F. Sofieva, Daan Hubert, Irina Petropavlovskikh, Peter Effertz, Gérard Ancellet, Doug A. Degenstein, Daniel Zawada, Lucien Froidevaux, Stacey Frith, Jeannette Wild, Sean Davis, Wolfgang Steinbrecht, Thierry Leblanc, Richard Querel, Kleareti Tourpali, Robert Damadeo, Eliane Maillard Barras, René Stübi, Corinne Vigouroux, Carlo Arosio, Gerald Nedoluha, Ian Boyd, Roeland Van Malderen, Emmanuel Mahieu, Dan Smale, and Ralf Sussmann, 2022: Updated trends of the stratospheric ozone vertical distribution in the 60° S–60° N latitude range based on the LOTUS regression model. Atmos. Chem. Phys., 22(17), 11657–11673, https://doi.org/10.5194/acp-22-11657-2022.

Goldberg, Mitch and Manik Bali, 2022: Part-II: GSICS Annual State of Observing System: Status of GSICS monitored instruments, GSICS Quarterly, 15(1), http://doi.org/10.25923/m6pq-w122.

Goodliff, Michael; Stephen G. Penny, 2022: Developing 4D-Var for strongly coupled data assimilation using a coupled atmosphere–ocean quasigeostrophic model. Mon. Wea. Rev., 150(9), https://doi.org/10.1175/MWR-D-21-0240.1.

He, Wenchong; Arpan Man Sainju,Zhe Jiang, Da Yan, and Yang Zhou, 2022b: Earth imagery segmentation on terrain surface with limited training labels: A Semi-supervised approach based on physics-guided graph co-training. ACM Trans. Intell. Syst. Technol., 13(2), 26, https://doi.org/10.1145/3481043.

Ho, Shu-peng, Stanislav Kireev, Xi Shao, Xinjia Zhou, andXin Jing. 2022: Processing and validation of the STAR COSMIC-2 temperature and water vapor profiles in the neutral atmosphere.Remote Sens. 14(21), 5588, https://doi.org/10.3390/rs14215588.    

Hoffman, Ross N.; Katherine E. Lukens, Kayo Ide and Kevin Garrett, 2022: A collocation study of atmospheric motion vectors (AMVs) compared to aeolus wind profiles with a feature track correction (FTC) observation operator. Quart. J. Roy. Meteor. Soc. Pt. A, 148, 321-337, https://doi.org/10.1002/qj.4207.

Huang, Xinzhou; Kai Yang, Shobha Kondragunta, Zigang Wei, Lukas Valin, James Szykman and Mitch Goldberg, 2022: NO2 retrievals from NOAA-20 OMPS: Algorithm, evaluation, and observations of drastic changes during COVID-19. Atmos. Environ., 290, 119367, https://doi.org/10.1016/j.atmosenv.2022.119367.

Huntington Brittany, Vargas-Ángel Bernardo, Couch Courtney S., Barkley Hannah C. and Abecassis Melanie, 2022: Oceanic productivity and high-frequency temperature variability—not human habitation—supports calcifier abundance on central Pacific coral reefs. Front. Mar. Sci., 9, 1075972, https://doi.org/10.3389/fmars.2022.1075972.

Iturbide-Sanchez, Flavio; Larrabee Strow, David Tobin, Yong Chen , Denis Tremblay, Robert O. Knuteson, David G. Johnson, Clayton Buttles, Lawrence Suwinski, Bruce P. Thomas, Adhemar R. Rivera, Erin Lynch, Kun Zhang, Zhipeng Wang, Warren D. Porter, Xin Jin , Joseph P. Predina, Reima I. Eresmaa, Andrew Collard, Benjamin Ruston, James A. Jung, Christopher D. Barnet, Peter J. Beierle, Banghua Yan , Daniel Mooney, and Henry Revercomb, 2022: Recalibration and assessment of the SNPP CrIS instrument: A successful history of restoration after midwave infrared band anomaly. IEEE Trans. Geosci. Remote Sens., 60, 5514421, https://doi.org/10.1109/TGRS.2021.3112400.   

Jia, Aolin; Dongdong Wang, Shunlin Liang, Jingjing Peng, & Yunyue Yu, 2022a: Global daily actual and snow-free blue-sky land surface albedo climatology from 20-year MODIS products. J. Geophys. Res. Atmos., 127(8), e2021JD035987, https://doi.org/10.1029/2021JD035987.

Jiang, Li-Qing; Denis Pierrot, Rik Wanninkhof, Richard A.Feely, Bronte Tilbrook, Simone Alin, Leticia Barbero, Robert H. Byrne, Brendan R. Carter, Andrew G. Dickson, Jean-Pierre Gattuso, Dana Greeley, Mario Hoppema, Matthew P. Humphreys, Johannes Karstensen, Nico Lange, Siv K. Lauvset, Ernie R. Lewis, Are Olsen, Fiz F. Pérez, Christopher Sabine, Jonathan D. Sharp, Toste Tanhua, Thomas W. Trull, Anton Velo, Andrew J. Allegra, Paul Barker, Eugene Burger, Wei-Jun Cai, Chen-Tung A. Chen, Jessica Cross, Hernan Garcia, Jose Martin Hernandez-Ayon, Xinping Hu, Alex Kozyr, Chris Langdon, Kitack Lee, Joe Salisbury, Zhaohui Aleck Wang, Liang Xue, 2022: Best practice data standards for discrete chemical oceanographic observations. Front. Mar. Sci., 8, https://www.frontiersin.org/articles/10.3389/fmars.2021.705638.

Jing, Xin; Sirish Uprety, Tung-Chang Liu, Bin Zhang, andXi Shao, 2022: Evaluation of SNPP and NOAA-20 VIIRS datasets using RadCalNet and Landsat 8/OLI data. Remote Sens., 14(16), 3913, https://doi.org/10.3390/rs14163913.

Kalluri, S.; C. Barnet, M. Divakarla, R. Esmaili, N. Nalli, K. Pryor, T. Reale, N. Smith, C. Tan, T. Wang, Juying Xun Warner, M. Wilson, L. Zhou, and T. Zhu, 2022: Validation and utility of satellite retrievals of atmospheric profiles in detecting and monitoring significant weather events, Bull. Amer. Meteor. Soc., 103(2), E570-E590,https://doi.org/10.1175/BAMS-D-20-0126.1.

Kim, Edward; Saji Abraham, Joel Amato, William Blackwell, Peter Cho, James Fuentes, Mark Hernquist, James Kam, R. Vincent Leslie, Quanhua Liu, ChengHsuan Lyu, Taichien Mao, Idahosa Osaretin, Fabian Rodriguez-Gutierrez, MatthewSammons, Craig Smith, Ninghai Sun and Hu Yang, 2022: An evaluation of NOAA-20 ATMS instrument pre-launch and on-orbit performance characterization. IEEE Trans. Geosci. Remote Sens., 60, 5302813, https://doi.org/10.1109/TGRS.2022.3148663.

Kotsakis, Alexander; John T. Sullivan, Thomas F. Hanisco, Robert J. Swap, Vanessa Caicedo, Timothy A. Berkoff, Guillaume Gronoff, Christopher P. Loughner, Xinrong Ren, Winston T. Luke, Paul Kelley, Phillip R. Stratton, Ruben Delgado, Nader Abuhassan, Lena Shalaby, Fernando C. Santos, Joel Dreessen, 2022: Sensitivity of total column NO2 at a marine site within the Chesapeake Bay during OWLETS-2, Atmos. Environ., 277, 119063, https://doi.org/10.1016/j.atmosenv.2022.119063.

Krishnamurthy, Venkataramanaia; and Cristiana Stan, 2022: Prediction of extreme events in precipitation and temperature over CONUS during boreal summer in the UFS coupled model. Climate Dyn., 59(1–2), 109–125, https://doi.org/10.1007/s00382-021-06120-0.

Lauvset, Siv K.; Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Simone Alin, Marta Álvarez, Kumiko Azetsu-Scott, Leticia Barbero, Susan Becker, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Richard A. Feely, Mario Hoppema, Matthew P. Humphreys, Masao Ishii, Emil Jeansson, Li-Qing Jiang, Steve D. Jones, Claire Lo Monaco, Akihiko Murata, Jens Daniel Müller, Fiz F. Pérez, Benjamin Pfeil, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Bronte Tilbrook, Adam Ulfsbo, Anton Velo, Ryan J. Woosley, and Robert M. Key, 2022: GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product, Earth Syst. Sci. Data, 14, 5543–5572, https://doi.org/10.5194/essd-14-5543-2022.

Lazar, Jay; Ronald L. Vogel, David G. Bruce, and Andrew McGowan, 2022: Using Satellite-Derived Total Suspended Matter Data to Evaluate the Impacts of Tributary-Scale Oyster Restoration on Water Clarity. NOAA Tech. Memo NMFS-OHC-10, 19 pp., https://doi.org/10.25923/7dqh-6825.

Lee, Yong-Keun; Christopher Grassotti, Quanhua (Mark) Liu, Shu-Yan Liu and Yan Zhou, 2022: In-depth evaluation of MiRS total precipitable water from NOAA-20 ATMS using multiple reference data sets. Earth Space Sci., 9, e2021EA002042, https://doi.org/10.1029/2021EA002042.

Liang, Xingming; Kevin Garrett, Quanhua Liu, Eric S. Maddy, Kayo Ide, and Sid Boukabara, 2022a: A deep learning-based microwave radiative transfer emulator for data assimilation and remote sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 15(Oct 2022), 8819–8833,  https://dx.doi.org/10.1109/JSTARS.2022.3210491.

Lin, Lin; and Xiaolei Zou, 2022: Associations of hurricane intensity changes to satellite total column ozone structural changes within hurricanes.  in IEEE Trans. Geosci. Remote Sens., 60, 4103407, https://doi.org/10.1109/TGRS.2021.3094107.

Little, Christine M.; Gang Liu, Jacqueline L. De La Cour, C. Mark Eakin, Derek Manzello and Scott F. Heron, 2022: Global coral bleaching event detection from satellite monitoring of extreme heat stress. Front. Mar. Sci., 9, 883271, https://doi.org/10.3389/fmars.2022.883271  [in special issue onMarine and Coastal Environments under Extreme Stress].

Liu, Chunying; Eric Freeman, Elizabeth C. Kent, David I. Berry, Steven J. Worley, Shawn R. Smith, Boyin Huang, Huai-min Zhang, Thomas Cram, Zaihua Ji, Mathieu Ouellet, Isabelle Gaboury, Frank Oliva, Axel Andersson, William E. Angel, Angela R. Sallis, and Adedoja Adeyeye, 2022: Blending TAC and BUFR marine in situ data for ICOADS Near-Real-Time Release 3.0.2. J. Atmos. Oceanic Technol., 39(12), 1943–1959, https://doi.org/10.1175/JTECH-D-21-0182.1.

Liu, Hu;Kevin Garrett,Kayo Ide, Ross Hoffman, andKatherine Lukens: 2022: A statistically optimal analysis of systematic differences between Aeolus HLOS Winds and NOAA’s Global Forecast System, Atmos. Meas. Tech., 15, 3925–3940, https://doi.org/10.5194/amt-15-3925-2022.

Liu, Quanhua; Banghua Yan; Kevin Garrett; Yingtao Ma; Xingming Liang; Jingfeng Huang; Wenhui Wang; and Changyong Cao, 2022: Deriving surface reflectance from visible/near infrared and ultraviolet satellite observations through the Community Radiative Transfer Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 15, 2004-2011, https://doi.org/10.1109/JSTARS.2022.3149767

Liu, Quanhua;Yong-Keun Lee, Christopher Grassotti, XingMing Liang, Stanley Q. Kidder and Sheldon Kusselson, 2022: The challenge of surface type changes over the Aral Sea for satellite remote sensing of precipitation.IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 15 (Oct 2022), 8650–8655, https://doi.org/10.1109/JSTARS.2022.3212647. (Published 10 October 2022)

Liu, Shuyan; Christopher Grassotti, Quanhua Liu, Yan Zhou, and Yong-Keun Lee, 2022: Improvement of MiRS Sea Surface Temperature Retrievals Using a Machine Learning Approach. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 15, 1857-1868, https://dx.doi.org/10.1109/JSTARS.2022.3151002.

Liu, Yuling; Peng Yu, Heshun Wang, Jingjing Peng, and Yunyue Yu, 2022: Ten years of VIIRS land surface temperature product validation. Remote Sens., 14(12), 2863, https://doi.org/10.3390/rs14122863.

McWhorter, Jennifer K.; Paul R. Halloran; George Roff; William J. Skirving and Peter J. Mumby, 2022: Climate refugia on the Great Barrier Reef fail when global warming exceeds 3°C. Global Change Biol., 28, 5768–5780,  https://dx.doi.org/10.1111/gcb.16323.

Miller, William J. S.; Corey K. Potvin, Montgomery L. Flora, Burkely T. Gallo, Louis J. Wicker, Thomas A. Jones, Patrick S. Skinner, Brian C. Matilla, and Kent H. Knopfmeier, 2022: Exploring the usefulness of downscaling free forecasts from the Warn-On-Forecast System. Wea. Forecasting, 37(2), 181­–203, https://doi.org/10.1175/WAF-D-21-0079.1.

Moradi, Isaac;Patrick Stegmann, Benjamin Johnson, Vasileios Barlakas, Patrick Eriksson, Alan Geer, Ronald Gelaro, Satya Kalluri, Daryl Kleist, Quanhua Liu, Will McCarty, 2022: Implementation of a discrete dipole approximation scattering database into community radiative transfer model. J. Geophys. Res. Atmos., 127(24), e2022JD036957, https://doi.org/10.1029/2022JD036957.

Moreno, Allison R.; Alyse A. Larkin, Jenna A. Lee, Skylar D. Gerace, Glen A. Tarran and Adam C. Martiny, 2022: Regulation of the respiration quotient across ocean basins. AGU Adv., 3(5), e2022AV000679. https://doi.org/10.1029/2022AV000679.

Nezlin, Nikolay P.; Jeremy M. Testa, Guangming Zheng, and Paul M. DiGiacomo, 2022: Satellite observations estimating the effects of river dischargeand wind‐driven upwelling on phytoplankton dynamics in the Chesapeake Bay.Integr. Environ. Assess. Manage., 18(4), 921–938, https://doi.org/10.1002/ieam.4597.

 Ngan, Fong; Mark Cohen, Sonny Zinn, Weifeng Jiang, Hongfeng Shen, Hyun Cheol Kim and Walter Schalk 2022: The Western WRF Modeling Project: System Design and Model Evaluation. NOAA Technical Memorandum OAR ARL-284, 34 pp., https://doi.org/10.25923/fyjf-q832.

Nyadjro, Ebenezer. S.; Zhankun Wang, James Reagan, Just Cebrian and Jay F. Shriver, 2022: Bio-physical changes in the Gulf of Mexico during the 2018 Hurricane Michael,IEEE Geosci. Remote Sens. Lett., 19, 1002205, https://dx.doi.org/10.1109/LGRS.2021.3068600.

Orescanin, Marko; Veljko Petković, Scott W. Powell, Benjamin R. Marsh and Sean C. Heslin, 2022: Bayesian Deep Learning for passive microwave precipitation type detection, IEEE Geosci. Remote Sens. Lett., 19, 4500705,  https://dx.doi.org/10.1109/LGRS.2021.3090743

Ortiz, Pedro; Marko Orescanin, Veljko Petković, Scott W. Powell, Benjamin Marsh, 2022: Decomposing satellite-based classification uncertainties in large Earth science datasets. IEEE Trans. Geosci. Remote Sens., 60, 4106211, https://doi.org/10.1109/TGRS.2022.3152516.

Pegion, Kathy,Emily J. Becker, and Ben P. Kirtman., 2022: Understanding Predictability of Daily Southeast U.S. Precipitation Using Explainable Machine Learning. Artif. Intell. Earth Syst.1, e220011, https://doi.org/10.1175/AIES-D-22-0011.1.

Penny, S. G.; T. A. Smith, T.-C. Chen, J. A. Platt, H.-Y. Lin, M. Goodliff, H. D. I. Abarbanel, 2022: Integrating recurrent neural networks with data assimilation for scalable data-driven state estimation. J. Adv. Model. Earth Syst., 14(3), https://doi.org/10.1029/2021MS002843.

Petropavlovskikh, Irina, Koji Miyagawa, Audra McClure-Beegle, Bryan Johnson, Jeannette Wild, Susan Strahan, Krzysztof Wargan, Richard Querel, Lawrence Flynn, Eric Beach, Gerard Ancellet, and Sophie Godin-Beekmann, 2022: Optimized Umkehr profile algorithm for ozone trend analyses, Atmos. Meas. Tech., 15(6), 1849–1870, https://doi.org/10.5194/amt-15-1849-2022.

Pinker, Rachel T.; Yingtao Ma, Wen Chen, Istvan Laszlo, Hongqing Liu, Hye-Yun Kim, and Jaime Daniels, 2022: Top-of-the-atmosphere reflected shortwave radiative fluxes from GOES-R. Atmos. Meas. Tech., 15, 5077–5094, https://doi.org/10.5194/amt-15-5077-2022.

Poterjoy, Jonathan; 2022: Implications of Multivariate non-gaussian data assimilation for multi-scale weather prediction. Mon. Wea. Rev., 150, 1475-1493, https://doi.org/10.1175/MWR-D-21-0228.1.

Poterjoy, Jonathan, 2022: Regularization and tempering for a moment-matching localized particle filter, Quarterly Journal of the Royal Meteorological Society 148 (747),  2631-2651, https://doi.org/10.1002/qj.4328.

Potvin, Corey K.; Burkely T. Gallo, Anthony E. Reinhart, Brett Roberts, Patrick S. Skinner, Ryan A. Sobash, Katie A. Wilson, Kelsey C. Britt, Chris Broyles, Montgomery L. Flora, William J. S. Miller, Clarice N. Satrio, 2022: An iterative storm segmentation and classification algorithm for convection-allowing models and gridded radar analyses. J. Atmos. Ocean. Technology, 39(7), 999-1013, https://doi.org/10.1175/JTECH-D-21-0141.1

Reyhanigalangashi, Omid; Drew Taylor, Shriniwas Kolpuke, Deepak N. Elluru, Feras Abushakra, Abhishek K. Awasthi and Siva-Prasad Gogineni,2022: An RF-SoC-Based Ultra-Wideband Chirp Synthesizer, IEEE Access, 10, pp. 47715-47725, 2022, https://dx.doi.org/10.1109/ACCESS.2022.3171830.

Rishmawi, Khaldoun; Chengquan Huang; Karen Schleeweis and Xiwu Zhan, 2022: Integration of VIIRS observations with GEDI-lidar measurements to monitor forest structure dynamics from 2013 to 2020 across the Conterminous United States. Remote Sens. 2022, 14(10), 2320. https://doi.org/10.3390/rs14102320.

Saha, Korak; Zhang Huai-Min, 2022: Hurricane and typhoon storm wind resolving NOAA NCEI Blended Sea Surface Wind (NBS) Product. Front. Mar. Sci., 9,935549, https://www.frontiersin.org/articles/10.3389/fmars.2022.935549.

Seo, Bong-Chul; Marcela Rojas, Felipe Quintero, Witold F. Krajewski, and Dong Ha Kim, 2022: Expanding and Enhancing Streamflow Prediction Capability of the National Water Model Using Real-Time Low-Cost Stage Measurements, Wea. Forecasting, 37(11), 2021–2033, https://doi.org/10.1175/WAF-D-22-0050.1.

Seo, Eunkyo; and Paul Alan Dirmeyer, 2022: Understanding the diurnal cycle of land-atmosphere interactions from flux site observations. Hydrol. Earth Syst. Sci., 26(20), 5411–5429, https://doi.org/10.5194/hess-26-5411-2022.

Seo, Eunkyo; and Paul Dirmeyer, 2022: Improving the ESA CCI daily soil moisture time series with physically-based land surface model datasets using a Fourier time-filtering method. J. Hydrometeor., 23(3), 473–489, https://doi.org/10.1175/JHM-D-21-0120.1.

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Spady, Blake L.;William J. Skirving, Gang Liu, Jacqueline L. De La Cour, Cathy J. McDonald and Derek P. Manzello, 2022: Unprecedented early-summer heat stress and forecast of coral bleaching on the Great Barrier Reef, 2021-2022. F1000Research 2022, 11, 127 https://doi.org/10.12688/f1000research.108724.1.

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Sun, Luyu; Stephen G. Penny, and Matthew Harrison, 2022: Impacts of the Lagrangian data assimilation of surface drifters on estimating ocean circulation during the Gulf of Mexico Grand Lagrangian Deployment. Mon. Wea. Rev., 150, 949-965,  https://doi.org/10.1175/MWR-D-21-0123.1.

Tanioka, Tatsuro; Alyse A. Larkin, Allison R. Moreno, Melissa L. Brock, Adam J. Fagan, Catherine A.Garcia, Nathan S.Garcia, Skylar D.Gerace, Jenna A. Lee, Michael W. Lomas and Adam C. Martiny, 2022: Global Ocean Particulate Organic Phosphorus, Carbon, Oxygen for Respiration, and Nitrogen (GO-POPCORN). Scientific Data 9, 688, https://doi.org/10.1038/s41597-022-01809-1.

Tang, Youhua; Patrick C. Campbell, Pius Lee, Rick Saylor, Fanglin Yang, Barry Baker, Daniel Tong, Ariel Stein, Jianping Huang, Ho-Chun Huang, Li Pan, Jeff McQueen, Ivanka Stajner, Jose Tirado-Delgado, Youngsun Jung, Melissa Yang, Ilann Bourgeois, Jeff Peischl, Tom Ryerson, Donald Blake, Joshua Schwarz, Jose-Luis Jimenez, James Crawford, Glenn Diskin, Richard Moore, Johnathan Hair, Greg Huey, Andrew Rollins, Jack Dibb, and Xiaoyang Zhang: 2022: Evaluation of the NAQFC driven by the NOAA Global ForecastSystem (version 16): comparison with the WRF-CMAQ duringthe summer 2019 FIREX-AQ campaign.  Geosci. Model Dev., 15(21), 7977–7999, https://doi.org/10.5194/gmd-15-7977-2022.

Tanioka, Tatsuro; Catherine A. Garcia, Alyse A. Larkin, Nathan S. Garcia, Adam J. Fagan &Adam C. Martiny, 2022: Global patterns and predictors of C:N:P in marine ecosystems. Commun. Earth Environ., 3, 271, https://doi.org/10.1038/s43247-022-00603-6.

Tian, Jingjing; Yunyan Zhang, Stephen A. Klein, Rusen Öktem and Likun Wang, 2022: How does land cover and its heterogeneity length scales affect the formation of summertime shallow cumulus clouds in observations from the US Southern Great Plains? Geophys. Res. Lett., 49(7), e2021GL097070. https://doi.org/10.1029/2021GL097070.

Tian, Miao; Taidong Zhang; Guanghui Liu and Lin Lin, 2022: Estimation of tropical cyclone intensity using synthetic satellite microwave temperature anomaly structure and a multi-feature distribution learning network. IEEE Trans. Geosci. Remote Sens., 60, 4105512, https://doi.org/10.1109/TGRS.2021.3132620.

Towle, Erica K.; E. Caroline Donovan, Heath Kelsey, Mary E. Allen, Hannah Barkley, Jeremiah Blondeau, Russell E. Brainard, Annie Carew, Courtney S. Couch, Maria K. Dillard, C. Mark Eakin, Kimberly Edwards, Peter E. T. Edwards, Ian C. Enochs, Chloe S. Fleming, Alexandra S. Fries, Erick F. Geiger, Laura Jay Grove, Sarah H. Groves, Matthew Gorstein, Adel Heenan, Matthew W. Johnson, Justine Kimball, Jennifer L. Koss, Tye Kindinger, Arielle Levine, Derek P. Manzello, Nathan Miller, Thomas Oliver, Jennifer C. Samson, Dione Swanson, Bernardo Vargas-Ángel, T. Shay Viehman and Ivor D. Williams, 2022: A national status report on United States coral reefs based on 2012–2018 data from National Oceanic and Atmospheric Administration’s National Coral Reef Monitoring Program. Front. Mar. Sci., 8, 812216, https://doi.org/10.3389/fmars.2021.812216.

Trossman, David, and Eric Bayler, 2022: An algorithm to bias-correct and transform Arctic SMAP-derived skin salinities into bulk surface salinities, Remote Sensing, 14(6), 1418, https://doi.org/10.3390/rs14061418.

Wang, Likun;Chunhui Pan, Banghua Yan, Trevor Beck, Junye Chen, Lihang Zhou, Satya Kalluri and Mitch Goldberg: 2022: Geolocation assessment and optimization for OMPS Nadir Mapper: Methodology. Remote Sens., 14(13), 3040. https://doi.org/10.3390/rs14133040.

Wang, Wenhui;Changyong Cao and Slawomir Blonski, 2022a: Estimating the VIIRS thermal emissive band response versus scan (RVS) and calibration offsets using on-orbit pitch maneuver data. IEEE Trans. Geosci. Remote Sens., 60, 5002610, https://dx.doi.org/10.1109/TGRS.2022.3181233.

Wang, Wenhui; Changyong Cao, Slawomir Blonski, Yalong Gu, Bin Zhang and Sirish Uprety, 2022b: An improved method for VIIRS radiance limit verification and saturation rollover flagging. IEEE Trans. Geosci. Remote Sens., 60, 5403011, https://doi.org/10.1109/TGRS.2021.3097896.

Wang, Wenhui; Changyong Cao, Xi Shao, Slawomir Blonski, Taeyoung Choi, Sirish Uprety, Bin Zhang, and Yan Bai, 2022c: Evaluation of 10-Year NOAA/NASA Suomi NPP and NOAA-20 VIIRS reflective solar band (RSB) sensor data records (SDR) over deep convective clouds. Remote Sens., 14(15), 3566. https://doi.org/10.3390/rs14153566. In the special issue on VIIRS 2011–2021: Ten Years of Success in Earth Observations.

Wang, Zhipeng; Flavio Iturbide-Sanchez, Peter Beierle, Kun Zhang, and Denis Tremblay, 2022: Validation of CrIS radiometric performance through its comparison to ABI. Remote Sens., 14(4), 876. https://doi.org/10.3390/rs14040876.

Weber, Mark; Carlo Arosio, Melanie Coldewey-Egbers, Vitali E. Fioletov, Stacey M. Frith, Jeannette D. Wild, Kleareti Tourpali, John P. Burrows, and Diego Loyola, 2022.: Global total ozone recovery trends attributed to ozone-depleting substance (ODS) changes derived from five merged ozone datasets, Atmos. Chem. Phys., 22(10), 6843–6859, https://doi.org/10.5194/acp-22-6843-2022.

Wynne, Timothy T., Michelle C. Tomlinson, Travis O. Briggs, Sachidananda Mishra, Andrew Meredith, Ronald L. Vogel, and Richard P. Stumpf, 2022: Evaluating the efficacy of five chlorophyll-a algorithms in Chesapeake Bay (USA) for operational monitoring and assessment, J. Mar. Sci. Eng., 10(8), 1104, https://doi.org/10.3390/jmse10081104.

Yan, Banghua; Chunhui Pan, Trevor Beck, Xin Jin, Likun Wang, Ding Liang, Lawrence Flynn, Junye Chen, Jingfeng Huang, Steven Buckner, Cheng-Zhi Zou, Ninghai Sun, Lin Lin, Alisa Young, Lihang Zhou and Wei Hao, 2022. New reprocessing towards life-time quality-consistent Suomi NPP OMPS Nadir Sensor Data Records (SDR): Calibration improvements and impact assessments on long-term quality stability of OMPS SDR data sets. Remote Sens., 14, 3125, https://doi.org/10.3390/rs14133125.

Yang, Hu; Robbie Iacovazzi, Ninghai Sun, Quanhua Liu, Robert Vincent Leslie, Matthew Sammons, James Fuentes, Edward Kim, Cheng-Hsuan Lyu, and Saji Abraham, 2022: ATMS radiance data products calibration and evaluation. IEEE Trans. Geosci. Remote Sens., 60, 5302211, https://doi.org/10.1109/TGRS.2021.3123576.

Yang, Hu;and Martin Burgdorf, 2022: A calibrated lunar Microwave Radiative Transfer Model based on satellite observations, Remote Sens., 14(21), 5501, https://doi.org/10.3390/rs14215501.

Yang, John Xun;Yalei You, William Blackwell, Sidharth Misra and Rachael A. Kroodsma, 2022a: Quantifying and characterizing striping of microwave humidity sounder with observation and simulation, IEEE Trans. Geosci. Remote Sens., 60, 5302413, https://dx.doi.org/10.1109/TGRS.2021.3132560.

Yang, John Xun; and Hu Yang, 2022c: A new algorithm for determining the noise equivalent delta temperature of in-orbit microwave radiometers, IEEE Trans. Geosci. Remote Sens., 60, 1-11, 5301611, https://dx.doi.org/10.1109/TGRS.2021.3097594.

Yang, John Xun; Yalei You, William Blackwell, Quanhua Liu, Ralph Ferraro, David Draper, Nigel Atkinson, Tim Hewison, Sidharth Misra and Jinzheng Peng: 2022b: An adaptive calibration window for noise reduction of satellite microwave radiometers. IEEE Trans. Geosci. Remote Sens., 60, 5304616, https://doi.org/10.1109/TGRS.2022.3184670.

Yi, Donghui; Alejandro Egido; Waler H.F. Smith; Laurence Connor; Christopher Buchhaupt and Dexin Zhang, 2022: Sea-ice surface elevation distribution from NASA’s Operation IceBridge ATM data.Remote Sens., 14, 3011. https://doi.org/10.3390/rs14133011.

Yin, Jifu; Xiwu Zhan, Jicheng Liu, and Ralph R. Ferraro, 2022: A new method for generating the SMOPS blended satellite soil moisture data product without relying on a model climatology. Remote Sens., 14(7), 1700, https://doi.org/10.3390/rs14071700.

You, Yalei; Huan Meng,Jun Dong, John Xun Yang, Sarah Ringerud and Yongzhen Fan, 2022b: Precipitation phase determination by brightness temperatures from ATMS. IEEE Geosci. Remote Sens. Lett., 19, 1006005, https://dx.doi.org/10.1109/LGRS.2022.3196386.

You, Yalei; Huan Meng;Jun Dong; Yongzhen Fan; Ralph Ferraro; Guojun Gu; andLikun Wang, 2022a: A snowfall detection algorithm for ATMS over ocean, sea ice, and coast. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 15, 1411–1420, https://doi.org/10.1109/JSTARS.2022.3140768.

Zhang, Bin;Shu-peng Ho, Changyong Cao, Xi Shao, Jun Dong, Yong Chen, 2022: Verification and validation of the COSMIC-2 excess phase and bending angle algorithms for data quality assurance at STAR. Remote Sens., 14(14), 3288, https://doi.org/10.3390/rs14143288.

Zhang, Daileand Ron L. Holle, 2022: The Epidemiology of Lightning in Mainland China - A Review of Two Datasets from the 1950s to 2018, 2022 36th International Conference on Lightning Protection (ICLP), 2022, pp. 597-602, https://dx.doi.org/10.1109/ICLP56858.2022.9942574

Zhang, Yi; Shunlin Liang, Tao He, Dongdong Wang, Yunyue Yu, and Han Ma, 2022: Estimation of land surface incident shortwave radiation from geostationary Advanced Himawari Imager and Advanced Baseline Imager observations using an optimization method. IEEE Trans. Geosci. Remote Sens.,60, 5600611,https://doi.org/10.1109/TGRS.2020.3038829.

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