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2022 CISESS Articles

Abushakra, Feras; Nathan Jeong; Deepak N. Elluru; Abhishek K. Awasthi; Shriniwas Kolpuke;  Tuan Luong; Omid Reyhanigalangashi; Drew Taylor; and S. Prasad Gogineni, 2022: 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.

Bela, M. M.; N. Kille, S. A. McKeen, J. Romero-Alvarez, R. Ahmadov, E. James, G. Pereira, C. Schmidt, R. B. Pierce, S. M. O’Neill, Xiaoyang Zhang, S. Kondragunta, C. Wiedinmyer and R. Volkamer, 2022: Quantifying carbon monoxide emissions on the scale of large wildfires. Geophys. Res. Lett., 49(3), e2021GL095831, https://doi.org/10.1029/2021GL095831.

Campbell, P., Tang, Y., Lee, P., Baker, B., Tong, D.,Saylor, R., Stein, A., Huang, J., Huang, H.-C., Strobach, E., McQueen, J., Pan, L., Stajner, I., Sims, J., Tirado-Delgado, J., Jung, Y., Yang, F., Spero, T., and Gilliam, R., 2022a: Development and evaluation of an advanced National Air Quality Forecast Capability using the NOAA Global Forecast System version 16, Geosci. Model Dev., 15, 3281–3313, https://doi.org/10.5194/gmd-2021-316.

Campbell, Patrick, Tong, Daniel, 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.

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, I.-S. Flavio, D. Tremblay, D. Tobin, Larabee Strow, Likun Wang, D. L. Mooney, D. Johnson, J. Predina, L. Suwinski, H. E. Revercomb, N. Sun, Bin Zhang, C. Cao, S. Kalluri and L. 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, Zhetao Tan, Fujiang Yu, Liying Wan, Xingrong Chen, Xiangzhou Song, Yulong Liu, Franco Reseghetti, Simona Simoncelli, Viktor Gouretski, Gengxin Chen, Alexey Mishonov andJim Reagan, 2022: Another record: Ocean warming continues through 2021 despite La Niña conditions, Adv. Atmos. Sci.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, 3367, https://doi.org/10.3390/rs14143367.

Crews, Angela; Blackwell, William J; Leslie, R Vincent; Grant, Michael; Yang, Hu; Cahoy, Kerri; 2022: Correcting calibration drifts using solar and lunar intrusions for miniaturized microwave radiometers. IEEE Trans. Geosci. Remote Sens., 60, 5300414, https://doi.org/10.1109/TGRS.2021.3059698.

Dennis, Eli J.; andE. Hugo Berbery, 2022: The effects of soil representation in WRF/CLM on the atmospheric moisture budget. J. Hydrometeor., 23, 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

Fang, Sheng; Xinwen Dong, Shuhan Zhuang, Zhijie Tian, Tianfeng Chai, Yuhan Xu, Yungang Zhao, Li Sheng, Xuan Ye, Wei Xiong, 2022: Oscillation-free source term inversion of atmospheric radionuclide releases with joint model bias corrections and non-smooth competing priors, J. Hazard. Mater., 440, 129806, https://doi.org/10.1016/j.jhazmat.2022.129806.

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>. 

Gao, Xueyuan, Liang, Shunlin, Wang, Dongdong, Li, Yan, He, Bin, and Jia, Aolin, 2022: Exploration of a novel geoengineering solution: lighting up tropical forests at night, Earth Syst. Dyn., 13, 219–230, https://doi.org/10.5194/esd-13-219-2022.

Gardner, Wilford D., Mary Jo Richardson, Alexey Mishonov, Pheobe  Lam and Yang Xiang, 2022: Distribution, sources, and dynamics of particulate matter along trans-Arctic sections. Journal of Geophysical Research: Oceans, 127, e2021JC017970. https://doi.org/10.1029/2021[Article 1 of 20 in special section: Uncovering the hidden links between dynamics, chemical, biogeochemical and biological processes under the changing Arctic]

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, S., Azouz, N., Sofieva, V. F., Hubert, D., Petropavlovskikh, I., Effertz, P., Ancellet, G., Degenstein, D. A., Zawada, D., Froidevaux, L., Frith, S., Wild, J., Davis, S., Steinbrecht, W., Leblanc, T., Querel, R., Tourpali, K., Damadeo, R., Maillard Barras, E., Stübi, R., Vigouroux, C., Arosio, C., Nedoluha, G., Boyd, I., Van Malderen, R., Mahieu, E., Smale, D., and Sussmann, R., 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, 11657–11673, https://doi.org/10.5194/acp-22-11657-2022.

Grodsky, Semyon A.; Nicolas Reul, Abderrahim Bentamy and Douglas Vandemark, 2022:  Eastward propagating surface salinity anomalies in the tropical North Atlantic. Remote Sens. Lett., 13, 334-342, https://doi.org/10.1080/2150704X.2022.2032452.   

Halverson, Gregory H.; Christine M. Lee, Erin L. Hestir, Glynn C. Hulley, Kerry Cawse-Nicholson, Simon J. Hook, Brian A. Bergamaschi, Shawn Acuña, Nicholas B. Tufillaro, Robert G. Radocinski, Gerardo Rivera, and Ted R. Sommer, 2022: Decline in thermal habitat conditions for the endangered delta smelt as seen from Landsat Satellites (1985–2019). Environ. Sci. Technol.,56(1), 185–193, https://pubs.acs.org/doi/full/10.1021/acs.est.1c02837.     

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.

Hembeck, Linda; Russell R. Dickerson,Timothy P. Canty, Dale J. Allen, Ross J. Salawitch, 2022: Investigation of the Community Multiscale air quality (CMAQ) model representation of the Climate Penalty Factor (CPF), Atmos. Environ., 283, 119157, https://doi.org/10.1016/j.atmosenv.2022.119157.   

Hoffman, Ross N.; Lukens, Katherine E.; Ide, Kayo; and Garrett, Kevin: 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.

Hsu, Hsin, and Dirmeyer, Paul A. , 2022: Deconstructing the soil moisture-latent heat flux relationship: the range of coupling regimes experienced and the presence of nonlinearity within the sensitive regime, J. Hydrometeor., 23, 1041-1057, https://doi.org/10.1175/JHM-D-21-0224.1.    

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, e2021JD035987, https://doi.org/10.1029/2021JD035987 .

Jia, Aolin; Shunlin Liang and Dongdong Wang, 2022b: Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data, Remote Sens. Environ., 278, 113105, https://doi.org/10.1016/j.rse.2022.113105.

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

Jung, Jia; Yunsoo Choi, Seyedali Mousavinezhad, Daiwen Kang, Jincheol Park, Arman Pouyaei, Masoud Ghahremanloo, Mahmoudreza Momeni, and Hyuncheol Kim, 2022: Changes in the ozone chemical regime over the contiguous United States inferred by the inversion of NOx and VOC emissions using satellite observation. Atmos. Res., 270, 106076, https://doi.org/10.1016/j.atmosres.2022.106076.

Kalluri, S., Barnet, C., Divakarla, M., Esmaili, R., Nalli, N., Pryor, K., Reale, T., Smith, N., Tan, C., Wang, T., Warner, Juying Xun, Wilson, M., Zhou, L., & Zhu, T., 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., https://doi.org/10.1007/s00382-021-06120-0.

Lauvset, S. K., Lange, N., Tanhua, T., Bittig, H. C., Olsen, A., Kozyr, A., Álvarez, M., Becker, S., Brown, P. J., Carter, B. R., Cotrim da Cunha, L., Feely, R. A., van Heuven, S., Hoppema, M., Ishii, M., Jeansson, E., Jutterström, S., Jones, S. D., Karlsen, M. K., Lo Monaco, C., Michaelis, P., Murata, A., Pérez, F. F., Pfeil, B., Schirnick, C., Steinfeldt, R., Suzuki, T., Tilbrook, B., Velo, A., Wanninkhof, R., Woosley, R. J., and Key, R. M., 2022: 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, 2021.

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://spo.nmfs.noaa.gov/content/tech-memo/using-satellite-derived-total-suspended-matter-data-evaluate-impacts-tributary.   

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.

Li, Linfeng,S. Wattal, J. Nunn, J. Paden and J.-B. Stephan Yan (UA-T), 2022: Development of a MIMO VHF Radar for the search of the oldest ice in antarctica, IEEE Geosci. Remote Sens. Lett., 19, pp. 1-5, 4024305, https://doi.org/10.1109/LGRS.2022.3176287.

Li, Ruohan; Dongdong Wang, Shunlin Liang, Aolin Jia and Zhihao Wang, 2022: Estimating global downward shortwave radiation from VIIRS data using a transfer-learning neural network. Remote Sens. Environ., 274, 112999, https://doi.org/10.1016/j.rse.2022.112999.

Li, Xiaofan, Zeng‑Zhen Hu, Bohua Huang and Cristiana Stan, 2022: Bulk connectivity of global SST and land precipitation variations. Climate Dyn.,58, 195–209, https://doi.org/10.1007/s00382-021-05901-x

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., in press, https://doi.org/10.1175/JTECH-D-21-0182.1.

Liu, Hui, 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, 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, Shuyan, Christopher Grassotti, Quanhua Liu, Yan Zhou, and Yong-Keun Lee, 2022: Improvement of AMSR2 Snow Water Equivalent Retrievals 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.

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.

Manthos, Zachary H., Kathleen V. Pegion, Paul A. Dirmeyer, and Cristiana Stan, 2022: The relationship between surface weather over North America and the Mid-Latitude Seasonal Oscillation.Dyn. Atmos. Oceans, 99, 101314, https://doi.org/10.1016/j.dynatmoce.2022.101314.

Maurer, C.; S. Galmarini, E. Solazzo, J. Kuśmierczyk-Michulec, J. Baré, M. Kalinowski, M. Schoeppner, P. Bourgouin, A. Crawford, A. Stein, T. Chai, F. Ngan, A. Malo, P. Seibert, A. Axelsson, A. Ringbom, R. Britton, A. Davies, M. Goodwin, P.W. Eslinger, T.W. Bowyer, L.G. Glascoe, D.D. Lucas, S. Cicchi, P. Vogt, Y. Kijima, A. Furuno, P.K. Long, B. Orr, A. Wain, K. Park, K.-S. Suh, A. Quérel, O. Saunier, D. Quélo, 2022: Third international challenge to model the medium-to long-range transport of radioxenon to four Comprehensive Nuclear-Test-Ban Treaty monitoring stations. J. Environ. Radioact. , 255, 106968. https://doi.org/10.1016/j.jenvrad.2022.106968.

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.

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 dynamicsin the Chesapeake Bay.Integr. Environ. Assess. Manage., 18, 921–938, https://doi.org/10.1002/ieam.4597.

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 Geoscience and Remote Sensing Letters, 19, 1-5, Art no. 4500705  https://dx.doi.org/10.1109/LGRS.2021.3090743

Peterson, Michael J., Timothy J. Lang, Timothy Logan, Cheong Wee Kiong, Morne Gijben, Ron Holle, Ivana Kolmasova, Martino Marisaldi, Joan Montanya, Sunil D. Pawar, Daile Zhang, Manola Brunet, and Randall S. Cerveny, 2022: New WMO certified megaflash lightning extremes for flash distance and duration recorded from space. Bull. Amer. Meteor. Soc., 103(5), 257–261,  https://doi.org/10.1175/BAMS-D-21-0254.1.

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, 2021: Optimized Umkehr profile algorithm for ozone trend analyses, Atmos. Meas. Tech., 15, 1849–1870, https://doi.org/10.5194/amt-2021-203.

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.

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, and Clarice N. Satrio, 2022: An Iterative storm segmentation and classification algorithm for convection-allowing models and gridded radar analyses. J. Atmos. Ocean. Tech.,  39 (7), 999–1013, https://doi.org/10.1175/JTECH-D-21-0141.1.

Pryor, Kenneth, and Belay Demoz, 2022:A Retrospective Satellite Analysis of the June 2012 North American Derecho. Remote Sens., 14, 3479, https://doi.org/10.3390/rs14143479

Reyhanigalangashi, Omid; Taylor, Drew; Kolpuke, Shriniwas; Elluru, Deepak N.; Abushakra, Feras; Awasthi, Abhishek K.;  and Gogineni, Siva-Prasad, 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, 2320. https://doi.org/10.3390/rs14102320.

Schumacher, Dominik L.; Jessica Keune, Paul Dirmeyer & Diego G. Miralles, 2022: Drought self-propagation in drylands due to land–atmosphere feedbacks. Nat. Geosci., 15, 262–268, https://doi.org/10.1038/s41561-022-00912-7

Schwartz, Craig S., Jonathan Poterjoy, Glen S. Romine, David C. Dowell, Jacob R. Carley, and Jamie Bresch, 2022b: Short-term convection-allowing ensemble precipitation forecast sensitivity to resolution of initial condition perturbations and central initial states, Wea. Forecasting, 37(7), 1259–1286, https://doi.org/10.1175/WAF-D-21-0165.1

Schwartz, Craig S.; Jonathan Poterjoy, Jacob R. Carley, David C. Dowell, Glen S. Romine, and Kayo Ide, 2022a:  Comparing partial and continuously cycling ensemble Kalman filter data assimilation systems for convection-allowing ensemble forecast initialization. Wea. Forecasting, 37(1), 85–112, https://doi.org/10.1175/WAF-D-21-0069.1.

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, 473–489, https://doi.org/10.1175/JHM-D-21-0120.1.

Shao, Xi,Francis P. Padula, Changyong Cao, Xiangqian Wu, Fangfang Yu, Aaron Pearlman, Haifeng Qian, Sirish Uprety and Taeyoung Choi, 2022: Validation of geostationary operational environmental satellite-16 advanced baseline imager radiometric calibration with airborne field campaign data and reanalysis of north-south scan data.J. Appl. Remote Sens., 16, 037501, https://doi.org/10.1117/1.JRS.16.037501.

Sharp, J. D., A. J. Fassbender, B. R. Carter, Piage D. Lavin and A. J. Sutton, 2022: A monthly surface pCO2  product for the California Current Large Marine Ecosystem, Earth Syst. Sci. Data., 14, 2081–2108, https://doi.org/10.5194/essd-14-2081-2022.

Shen, Yu; Xiaoyang Zhang and Zhengwei Yang, 2022: Mapping corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data. J. Photogramm. Remote Sens.186, 55–69, https://doi.org/10.1016/j.isprsjprs.2022.01.023.

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