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2024 CISESS Articles

Arulraj, Malarvizhi, Veljko Petkovic, Susan Wen,Ralph R. Ferraro, and Huan Meng, 2024: NPreciSe – an automated satellite precipitation product assessment tool. Sci. Data, 11, 1042, https://doi.org/10.1038/s41597-024-03877-x.

Cheng, Lijing, John Abraham, Kevin E. Trenberth, Tim Boyer, Michael E. Mann, Jiang Zhu, Fan Wang, Fujiang Yu, Ricardo Locarnini, John Fasullo, Fei Zheng, Yuanlong Li, Bin Zhang, Liying Wan, Xingrong Chen, Dakui Wang, Licheng Feng, Xiangzhou Song, Yulong Liu, Franco Reseghetti, Simona Simoncelli, Viktor Gouretski, Gengxin Chen, Alexey Mishonov, Jim Reagan, Karina Von Schuckmann, Yuying Pan, Zhetao Tan, Yujing Zhu, Wangxu Wei, Guancheng Li, Qiuping Ren, Lijuan Cao and Yayang Lu, 2024: New record ocean temperatures and related climate indicators in 2023. Adv. Atmos. Sci., 41(6), 1068–1082, https://doi.org/10.1007/s00376-024-3378-5.

Choi, Taeyoung, Changyong Cao, Slawomir Blonski, Xi Shao, and Wenhui Wang, 2024: NOAA-20 VIIRS on-orbit reflective solar band radiometric calibration five-year update. IEEE Trans. Geosci. Remote Sens., 62 (Feb 2024) 1000610, https://doi.org/10.1109/TGRS.2024.3363661

Hu, Ying , Huan Wu, Lorenzo Alfieri, Guojun Gu, Koray K. Yilmaz, Chaoqun Li, Lulu Jiang, Zhijun Huang, Weitian Chen, Wei Wu, and Qinzhe Han, 2024: A time-space varying distributed unit hydrograph (TS-DUH) for operational flash flood forecasting using publicly-available datasets. J. Hydrol., 642, 131785, https://doi.org/10.1016/j.jhydrol.2024.131785.

Huang, Boyin, Xungang Yin, James A. Carton, Ligang Chen, Garrett Graham, Patrick Hogan, Thomas Smith, and Huai‐Min Zhang, 2024: Record high sea surface temperatures in 2023. Geophys. Res. Lett., 51(14), e2024GL108369, https://doi.org/10.1029/2024GL108369

Hung, Wei-Ting; Patrick C. Campbell, Zachary Moon, Rick Saylor, John Kochendorfer, Temple R. Lee, and William Massman, 2024: Evaluation of an in‐canopy wind and wind adjustment factor model for wildfire spread applications across scales. J. Adv. Model. Earth Syst., 16(7), e2024MS004300. https://doi.org/10.1029/2024MS004300.

Jiang, Li-Qing, Tim P. Boyer, Christopher R. Paver, Hyelim Yoo, James R. Reagan, Simone R. Alin, Leticia Barbero, Brendan R. Carter, Richard A. Feely, and Rik Wanninkhof, 2024: Climatological distribution of ocean acidification variables along the North American ocean margins. Earth Syst. Sci. Data, 16(7), 3383–3390, https://doi.org/10.5194/essd-16-3383-2024.

Kalecinski, Natacha I., Sergii Skakun, Nathan Torbick, Xiaodong Huang, Belen Franch, Jean-Claude Roger, and Eric Vermote, 2024: Crop yield estimation at different growing stages using a synergy of SAR and optical remote sensing data. Sci. Remote Sens., 10, 100153, https://doi.org/10.1016/j.srs.2024.100153.

Kim, Eunhye, Hyun Cheol Kim, Byeong-Uk Kim, Jung-Hun Woo, Yang Liu, and Soontae Kim, 2024a: Development of surface observation-based two-step emissions adjustment and its application on CO, NOx, and SO2 emissions in China and South Korea. Sci. Total Environ. 907, 167818, https://doi.org/10.1016/j.scitotenv.2023.167818.

Kim, Eunhye, Byeong-Uk Kim, Hyun Cheol Kim, Yang Liu, Yoon Hee Kang, Daniel J. Jacob, Yong Pyo Kim, Jung-Hun Woo, Jhoon Kim, Shuxiao Wang, Chul Yoo, Changhan Bae, Younha Kim, and Soontae Kim, 2024b: North Korean CO emissions reconstruction using DMZ ground observations, TROPOMI space-borne data, and the CMAQ air quality model, Sci. Total Environ., 921, 171059,  https://doi.org/10.1016/j.scitotenv.2024.171059.

Kolpuke, Shriniwas, Feras Abushakra, S. Prasad Gogineni, David Braaten, Drew Taylor, Jordan D. Larson, Allain Rapadas, and Tuan Luong, 2024: Airborne multichannel UWB FMCW radar for snow depth measurements. IEEE Trans. Geosci. Remote Sens., 62, 2001918, https://dx.doi.org/10.1109/TGRS.2024.3359125.

Lauvset, Siv K.; Nico Lange, Toste Tanhua, Henry C. Bittig, Are Olsen, Alex Kozyr, Marta Álvarez, Kumiko Azetsu-Scott, Peter J. Brown, Brendan R. Carter, Leticia Cotrim da Cunha, Mario Hoppema, Matthew P. Humphreys, Masao Ishii, Emil Jeansson, Akihiko Murata, Jens Daniel Müller, Fiz F. Pérez, Carsten Schirnick, Reiner Steinfeldt, Toru Suzuki, Adam Ulfsbo, Anton Velo, Ryan J. Woosley, and Robert M. Key, 2024: The annual update GLODAPv2.2023: the global interior ocean biogeochemical data product. Earth Syst. Sci. Data16, 2047–2072, https://doi.org/10.5194/essd-16-2047-2024.

Liang, Xingming, Lihang Zhou, Mitch Goldberg, Satya Kalluri, Christopher Grassotti, Ninghai Sun, Banghua Yan, Hu Yang, Lin Lin, and Quanhua Liu, 2024: Improving ATMS imagery visualization using limb-correction and AI resolution enhancement. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 17, 4263–4279, https://dx.doi.org/10.1109/JSTARS.2024.335410.

Liang, Zichao, Yong-Keun Lee, Christopher Grassotti, Lin Lin, and Quanhua Liu, 2024: Machine Learning-based estimation of tropical cyclone intensity from Advanced Technology Microwave Sounder using a U-Net algorithm.Remote Sens., 16(1), 77, https://doi.org/10.3390/rs16010077.

Lichiheb, Nebila; Fong Ngan, and Mark Cohen, 2024: Improving the atmospheric dispersion forecasts over Washington, D.C. using UrbanNet observations: a study with HYSPLIT model. Urban Climate, 55, 101948, https://doi.org/10.1016/j.uclim.2024.101948.

Liu, Hui, Kevin Garrett, Kayo Ide, and Ross N. Hoffman, 2024: On the use of consistent bias corrections to enhance the impact of Aeolus Level-2B Rayleigh winds on NOAA global forecast skill. Quart. J. Roy. Meteor. Soc., 150(758), 355–372, https://doi.org/10.1002/qj.4600.

Liu, Shuyan, Christopher Grassotti, and Quanhua Liu, 2024: Warm-season Microwave Integrated Retrieval System (MiRS) precipitation improvement using machine learning methods. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 17(May 2024), 10600–10611, https://dx.doi.org/10.1109/JSTARS.2024.3405651.

Lovino, Miguel A., M. Josefina Pierrestegui, Omar V. Müller, Gabriela V. Müller, and Ernesto H. Berbery, 2024: The prevalent life cycle of agricultural flash droughts. npj: Clim Atmos. Sci.7, 73, https://doi.org/10.1038/s41612-024-00618-0.

Lukens, Katherine E., Kevin Garrett, Kayo Ide, David Santek, Brett Hoover, David Huber, Ross N. Hoffman, and Hui Liu, 2024: System for Analysis of Wind Collocations (SAWC): a novel archive and collocation software application for the intercomparison of winds from multiple observing platforms. Meteor., 3(1), 114–140, https://doi.org/10.3390/meteorology3010006.

Malinowski, Mateusz; Alexander Gilerson, Eder Herrera-Estrella, Robert Foster, Jacopo Agagliate, and Michael Ondrusek, 2024: Surface roughness and wave slope statistics from the multi-spectral polarimetric imaging of the ocean surface. Opt. Express, 32(13), 22110–22131, https://doi.org/10.1364/OE.521650.

Mishonov, Alexey, Dan Seidov, and James Reagan, 2024a: Revisiting the multidecadal variability of North Atlantic Ocean circulation and climate. Front. Mar. Sci., 11, 1345426, https://dx.doi.org/10.3389/fmars.2024.1345426.

Mishonov, Alexey;Dan Seidov, O. K., Baranova, C. Bouchard, Tim P. Boyer, S. L. Cross, K. Larsen, E. S. Nyadjro, A.R. Parsons, and K. Weathers, 2024b. High-resolution regional ocean climatologies with the Northwest Atlantic as an example: a review. J. Mar. Sci. Res. Oceanogr., 7(1), 1-32, https://dx.doi.org/10.33140/JMSRO.07.01.01

Moon, Jeonghyeok, Yunsoo Choi, Wonbae Jeon, Hyun Cheol Kim, Arman Pouyaei, Jia Jung, Shuai Pan, Soontae Kim, Cheol-Hee Kim, Juseon Bak, Jung-Woo Yoo, Jaehyeong Park, and Dongjin Kim, 2024:  Hybrid IFDMB/4D-Var inverse modeling to constrain the spatiotemporal distribution of CO and NO2 emissions using the CMAQ adjoint model. Atmos. Environ., 327, 120490, https://doi.org/10.1016/j.atmosenv.2024.120490.

Rudlosky, Scott, Joseph Patton, Eric Palagonia, John Y. N. Cho, and James M. Kurdzo, 2024: Radar outage costs and the value of alternate datasets. Wea. Forecasting, 39(6), 867–879, https://doi.org/10.1175/WAF-D-23-0165.1.

Sharp, Jonathan D.,Li-Qing Jiang, Brendan R. Carter, Paige D. Lavin, Hyelim Yoo, and Scott L. Cross, 2024: A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Sci. Data, 11(1), 715, https://doi.org/10.1038/s41597-024-03530-7.

Steckler, Stephen, Marko Orescanin, Scott W. Powell, Pedro Ortiz, and Veljko Petkovic, 2024: Scaling uncertainty quantification from patches to scenes through discontinuity-aware stitching. IEEEGeosci. Remote Sens. Lett., 21, 1002305, https://dx.doi.org/10.1109/LGRS.2024.3383749.

Wick, Gary A., Sandra L. Castro, Andrew Harris, and Jonathan Mittaz, 2024: Evaluation of modeled diurnal warming estimates for application to producing sea surface temperature analyses. Earth Space Sci., 11, e2024EA003619, https://doi.org/2024EA003619.

Yang, John Xun, Yalei You, William Blackwell, Cheng Da, Eugenia Kalnay, Christopher Grassotti, Quanhua Liu, Ralph Ferraro, Huan Meng, Cheng-Zhi Zou, Shu-Peng Ho, Jifu Yin, Veljko Petkovic, Timothy Hewison, Derek Posselt, Antonia Gambacorta, David Draper, Sidharth Misra, Rachael Kroodsma, and Min Chen, 2024: SatERR: A community error inventory for satellite microwave observation error representation and uncertainty quantification. Bull. Amer. Meteor. Soc., 105(1), E2316–E2335, https://doi.org/10.1175/BAMS-D-22-0207.1.

Yang, Qing, Xinyi Shen, Kang He, Qingyuan Zhang, Sean Helfrich, William Straka III, Josef M. Kellndorfer, and Emmanouil N. Anagnostou, 2024: Pre-failure operational anomalies of the Kakhovka Dam revealed by satellite data. Commun. Earth Environ., 5, 230, https://doi.org/10.1038/s43247-024-01397-5.

Yin, Xungang, Boyin Huang, James A. Carton, Ligang Chen, Garrett Graham, Chunying Liu, Thomas Smith, and Huai-Min Zhang, 2024: The 1991−2020 sea surface temperature normals. Int. J. Climatol., 44(2), 668–685, https://doi.org/10.1002/joc.8350.

Zhang, Feng, Xi Shao, Changyong Cao, Yong Chen, Wenhui Wang, Tung-Chang Liu, and Xin Jing, 2024: Evaluation of VIIRS thermal emissive bands long-term calibration stability and inter-sensor consistency using radiative transfer modeling. Remote Sens., 16(7), 1271, https://doi.org/10.3390/rs16071271

Zheng, Guangming, Stephanie Schollaert Uz, Pierre St-Laurent, Marjorie A. M. Friedrichs, Amita Mehta, and Paul M. DiGiacomo, 2024: Hypoxia forecasting for Chesapeake Bay using artificial intelligence. Artif. Intell. Earth Syst.3(3), 230054,  https://doi.org/10.1175/AIES-D-23-0054.1.

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