Note: Bolded names are CISESS and CISESS Consortium authors and underlined names are NOAA lead authors. Bolded names in parentheses are authors no longer at CISESS.
Barragan, Katherine and Cristiana Stan, 2026: Stratosphere–troposphere coupling during cold air outbreaks in the eastern United States. Geophys. Res. Lett., 53, e2026GL125002, https://doi.org/10.1029/2026GL125002.
(Beierle, Peter J.), Flavio Iturbide-Sanchez, Denis Tremblay, Joseph P. Predina, Kun Zhang, and Yong Chen, 2026: Evaluation of redundancy methods and strategies for the on-board spectral reference of the NOAA CrIS instruments. IEEE Trans. Geosci. Remote Sens., 64, 5502111, https://doi.org/10.1109/TGRS.2026.3654416.
Cahuich-López, Miguel, and coauthors (including Fong Ngan), 2026: Development and evaluation of an urban atmospheric inverse modeling framework for the Washington, DC and Baltimore, MD metropolitan area: initial results from an inert tracer case study. J. Geophys. Res. Atmos., 131(16), e2025JD045557, https://doi.org/10.1029/2025JD045557.
Campbell, Patrick C., and coauthors (including Daniel Q. Tong), 2026: Increased contributions of climate-driven wildfires to nitrogen deposition in the United States. Commun. Earth Environ., 7, 254, https://doi.org/10.1038/s43247-026-03279-4.
Chen, Yong, Xinjia Zhou, Xin Jing, Shu-Peng Ho, Xi Shao, and Tung-Chang Liu, 2026: Processing multiple GNSS RO data using FSI and ROPP: results from the ROMEX. Atmos. Meas. Tech., 19, 3781–3800, https://doi.org/10.5194/amt-19-3781-2026.
Choi, Minsu, and coauthors (including Fangjun Li), 2026: Simulating regional-scale aerosol radiative effects of wildfire smoke using a high-resolution coupled meteorology-chemistry model: HRRR-chem. J. Geophys. Res.: Atmos., 131, e2025JD046147, https://doi.org/10.1029/2025JD046147.
Choi, Nakbin, Jakub Stanczak, and Cristiana Stan, 2026: The role of atmosphere-ocean coupling on the prediction of Madden-Julian Oscillation. J. Climate, 39, e250247, https://doi.org/10.1175/JCLI-D-25-0247.1.
Choi, Nakbin, Cristiana Stan, Bora Lee, and Eunkyo Seo, 2026: Potential sources of predictability for the surface air temperature over the CONUS during boreal winter. J. Climate, 39, 5005–5016, https://doi.org/10.1175/JCLI-D-25-0495.1.
Das, Debanjana, and coauthors (including Belay B. Demoz), 2026: Atmospheric and meteorological responses during the April 8, 2024, total solar eclipse: advancing workforce development through experiential learning. Front. Environ. Sci., 14, 1751718, https://doi.org/10.3389/fenvs.2026.1751718.
Davis, Sean M., and coauthors [including (Jeannette D. Wild)], 2026: Uncertainties in recent tropical stratospheric and tropospheric ozone changes limit the use of observational constraints for assessing future ozone change. Atmos. Chem. Phys., 26, 13,817–13,843, https://doi.org/10.5194/acp-26-13817-2026.
Dhavale, Shreyas, Anantha Aiyyer, and Cristiana Stan, 2026: Case studies of the monsoon onset vortex and early season monsoon features using the UFS coupled model. Wea. Forecasting, 41, 807–820, https://doi.org/10.1175/WAF-D-25-0132.1.
Eakin, C. Mark, and coauthors [including (Erick F. Geiger and Jacqueline L. De La Cour)], 2026: Severe and widespread coral reef damage during the 2014-2017 Global Coral Bleaching Event. Nature Commun., 17, 1318, https://doi.org/10.1038/s41467-025-67506-w.
Farzad, Kiarash, and coauthors (including Daniel Tong and Patrick C. Campbell), 2026: Application and evaluation of a NOAA GFS‐driven air quality model using CMAQv5.4 and high‐resolution emissions: FIREX‐AQ 2019. J. Geophys. Res. Atmos., 131, e2025JD045668, https://doi.org/10.1029/2025JD045668.
Friedlingstein, P., and coauthors (including Annika Jersild), 2026: Global Carbon Budget 2025. Earth Syst. Sci. Data, 18, 3211–3288, https://doi.org/10.5194/essd-18-3211-2026.
Garcia, Hernan, and coauthors (including Alexey Mishonov and Li-Qing Jiang), 2026: World Ocean Database 2023: a foundational data resource for and by the global ocean and coastal communities. Sci.Data, 13, 613, https://doi.org/10.1038/s41597-026-06957-2.
Gerace, Skylar D., and coauthors (including Adam C. Martiny), 2026:Organic matter respiration stoichiometry in the Arctic Ocean is linked to shifts in plankton community composition.Limnol. Oceanogr., 71, e70404, https://doi.org/10.1002/lno.70404.
He, Jian, and coauthors (including Kai Yang), 2026: Incorporating gas-phase chemistry into the Unified Forecast System (UFS) for global air quality applications. J. Adv. Model. Earth Syst., 18(3), e2025MS005299, https://doi.org/10.1029/2025MS005299.
He, Tai-Long, and coauthors (including Phillip Stratton), 2026: Coordinated satellite, aircraft, and ground-based observations of a large transient methane release. Proc. Natl. Acad. Sci. U.S.A., 123(36), e2603595123, https://doi.org/10.1073/pnas.2603595123.
Hsu, Chia‐Hua, and coauthors (including Fangjun Li), 2026: Top‐down estimates of U.S. NOx emissions using TEMPO and TROPOMI NO2 remote sensing observations with WRF‐Chem/Chem‐DART. J. Geophys. Res.: Atmos., 131, e2025JD044223, https://doi.org/10.1029/2025JD044223.
Ji, Lei, Veljko Petković, and Marko Orescanin, 2026: Estimating uncertainty of PMW‐based convective fraction product. J. Geophys. Res.: Atmos.,131, e2026JD046377, https://doi.org/10.1029/2026JD046377.
Jiang, Li-Qing, and coauthors (including Alex Kozyr and Hyelim Yoo), 2026: Synthesis of data products for ocean carbonate chemistry. Earth Syst. Sci. Data, 18, 1405–1462, https://doi.org/10.5194/essd-2025-255.
Lee, Seonju, Andrew Harris, and (Thomas M. Smith), 2026: SST bias correction using machine-learning methods. J. Atmos. Ocean. Tech., 43, 1141–1157, https://doi.org/10.1175/JTECHD-25-0056.1.
Li, Fangjun, Xiaoyang Zhang, Mark Cochrane, Shobha Kondragunta, and Shuai An, 2026: Fire spread, intensity, and emissions observations by multiple satellites: the Southern California wildfires of January 2025. AGU Adv., 7(1), e2025AV002064, https://doi.org/10.1029/2025AV002064.
Li, Jinyang, Kuolin Hsu, Soroosh Sorooshian, and Dan Lu, 2026: From lumped to spatially distributed hydrologic models: a generalizable data-driven framework across North America. Water Resour. Res., 62, e2025WR043068, https://doi.org/10.1029/2025WR043068.
Li, Jinyang, Hanato Ushijima-Mwesigwa, Kuolin Hsu, and Soroosh Sorooshian, 2026: StreamFormer: a multi-resolution transformer for scalable global river streamflow prediction. J. Hydrol., 680, 136505, https://doi.org/10.1016/j.jhydrol.2026.136505.
Li, Ruixuan, Xiaoyang Zhang, Fangjun Li, Yongchang Ye, Shuai An, and Aihua Zhu, 2026: Global ecoregion-scale variations in wildfire seasonality revealed by daily satellite data. Fire Ecol., 23, 143, https://doi.org/10.1186/s42408-026-00541-0.
Liang, Xingming, Quanhua Liu, and (Christopher Grassotti), 2026: Refining clear-sky AI radiative transfer model forward predictions and Jacobian accuracy for ATMS using a ResNet and physical constraints. IEEE Trans. Geosci. Remote Sens., 64, https://doi.org/10.1109/TGRS.2026.3665759.
Liu, Qian and Banghua Yan, 2026: Cloud detection of OMPS nadir mapper radiance data using deep learning techniques. IEEE Trans. Geosci. Remote Sens., 64, https://doi.org/10.1109/TGRS.2026.3719137.
Ma, Zaizhong, Niels Bormann, Katie Lean, David Duncan, Ernesto Hugo Berbery, and Satya Kalluri, 2026: Ensemble of Data Assimilations (EDA) impact studies in support of NOAA’s Next-Generation Microwave Sounding Missions. Mon. Wea. Rev., 154, 687–702, https://doi.org/10.1175/MWR-D-25-0255.1.
Major, Dylan, Oliver P. Prat, Brian R. Nelson, Douglas K. Miller, Veljko Petkovic, Malarvizhi Arulraj, and Ralph Ferraro, 2026: Event-based verification of IMERG precipitation estimates over complex terrain in the southern Appalachian Mountains. J. Atmos. Ocean. Technol., 43, 309–325, https://doi.org/10.1175/JTECH-D-24-0110.1.
Martiny, Adam C., 2026: Long‐term reorganization of ocean nutrient distribution. AGU Advances, 7, e2025AV002080, https://doi.org/10.1029/2025AV002080.
Martiny, Adam C., Lucas J. Ustick, Toby K. Westberry, and Michael J. Behrenfeld, 2026: Genomic-to-space measurements reveal large-scale ocean nutrient stress. Sci. Adv., 12, eaed8089, https://doi.org/10.1126/sciadv.aed8089.
Miller, William J., Yong Chen, Shu-Peng Ho, and Xi Shao, 2026: How does assimilating a large commercial GNSS RO dataset impact HAFS hurricane forecasts? An evaluation in support of the ROMEX experiment. Atmos. Meas. Tech., 19, 4833–4851, https://doi.org/10.5194/amt-19-4833-2026.
Moon, Jeonghyeok, and coauthors (including Hyun Cheol Kim), 2026: Spatiotemporal optimization of NOx and VOC emissions using a hybrid inversion framework and its implication for ozone sensitivity diagnosis. Atmos. Chem. Phys., 26, 10,379–10,398, https://doi.org/10.5194/acp-26-10379-2026.
Moradi, Isaac, Satya Kalluri, and Yanqiu Zhu, 2026: Forward modeling of spaceborne radar observations. Atmos. Meas. Tech., 19, 549–563, https://doi.org/10.5194/amt-19-549-2026.
Moradi, Isaac, Satya Kalluri, Vijay Tallapragada, and Yanqiu Zhu, 2026: Sensitivity of tropical cyclone forecasts to the loss of low Earth orbit satellite observations. J. Geophys. Res. Atmos., 131, e2026JD046562, https://doi.org/10.1029/2026JD046562.
Nguyen, Phu, and coauthors (including Kuolin Hsu and Soroosh Sorooshian), 2026: PERSIANN-U-Net: a global deep learning framework for near-real-time precipitation estimation using infrared data. J. Hydrometeor., 27, 597–615, https://doi.org/10.1175/JHM-D-25-0162.1.
Pan, Yuying, and coauthors (including Alexey Mishonov), 2026: Ocean heat content sets another record in 2025. Adv. Atmos. Sci., https://doi.org/10.1007/s00376-026-5876-0.
Petkovic, Veljko, Marko Orescanin, Lisa Milani, and Yulan Honga, 2026: Overcoming ambiguity in passive microwave observations of snowfall regimes using machine learning. J. Atmos. Ocean. Tech., 43, 1101–1114, https://doi.org/10.1175/JTECHD-25-0120.1.
Petropavlovskikh, Irina, and coauthors [including (Jeannette D. Wild)], 2026: Overview: The Network for the Detection of Atmospheric Composition Change at 35 years: achievements and future strategy. Atmos. Chem. Phys., 26, 8637–8675, https://doi.org/10.5194/acp-26-8637-2026.
Rho, Ju-Hwan, Sang-Hyun Lee, Hyun Cheol Kim, Chang-Keun Song, Minjoong J. Kim, and Jae-Jin Kim, 2026: A multi-sectoral high-resolution emission refinement system for CFD-GIS based air quality modeling. Urban Clim., 68, 103030, https://doi.org/10.1016/j.uclim.2026.103030.
Richards, Joshua A. D., Ryan M. Stauffer, Debra E. Kollonige, Anne M. Thompson, Belay Demoz, Ricardo K. Sakai, and Adrian Flores, 2026: Howard University Beltsville Campus ozonesonde record: data homogenization and uncertainties. Earth Space Sci., 13(7), e2026EA005120, https://doi.org/10.1029/2026EA005120.
Seidov, Dan, Alexey Mishonov, and James Reagan, 2026: Resilience of the North Atlantic circulation on decadal timescales. Climate, 14(5), 99, https://doi.org/10.3390/cli14050099.
Sivan, Malavika, and coauthors [including (James Farquhar)], 2026: Anthropogenic perturbations to atmospheric methane reflected in Greenland firn air clumped isotope measurements. Sci. Adv., 12, eaeb2203, https://doi.org/10.1126/sciadv.aeb2203.
Sofieva, Viktoria F., and coauthors [including (Jeannette D. Wild)], 2026: Updated global and regional trends of stratospheric ozone profiles. Atmos. Chem. Phys., 26, 7387–7405, https://doi.org/10.5194/acp-26-7387-2026.
Vahedifard, Farshid, Mohammed Azhar, Julian Kelly, Saeed Rokooei, Reza Khanbilvardi, and Kaveh Madani, 2026: Service equity matrix for inclusive risk communication of extreme weather events. npj Nat. Hazards, 3, 64, https://doi.org/10.1038/s44304-026-00222-7.
Wang, Xuanji, Jeffrey R. Key, Szuchia Moeller, Richard J. Dworak, Xi Shao, and Kenneth R. Knapp, 2026: Extending AVHRR climate data records into the VIIRS era for polar climate research. Remote Sens., 17(20), 3495, https://doi.org/10.3390/rs17203495.
Wang, Wenhui, Taeyoung Choi, Slawomir Blonski, and Xi Shao, 2026: Evaluation and intercomparison of S-NPP, NOAA-20, and NOAA-21 VIIRS thermal emissive band long-term on-orbit saturation radiances. J. Appl. Remote Sens., 20(2), https://doi.org/10.1117/1.JRS.20.027501.
Yan, Banghua, Ding Liang, Xin Jin, Ninghai Sun, Flavio Iturbide-Sanchez, Xiangqian Wu, and Likun Wang, 2026: Long-term assessment of inter-sensor radiometric biases among SNPP, NOAA-20, NOAA-21 OMPS Nadir, and CrIS instruments using the NOAA ICVS-iSensor-RCBA portal. Remote Sens., 18(2), 254, https://doi.org/10.3390/rs18020254.
Yin, Jifu, Xiwu Zhan, Jicheng Liu, Jong Kim, Chan-Hoo Jeon, and Gillian Petro, 2026: National Oceanic and Atmospheric Administration Soil Moisture Operational Product System: an overview and data assimilation applications. Vadose Zone J., 25, e70122, https://doi.org/10.1002/vzj2.70122.
Yu, Jun, and coauthors (including Adam C. Martiny), 2026: Climate benefit and ecological cost trade-offs for ocean iron fertilization. Nature, 656, 106–114, https://doi.org/10.1038/s41586-026-10795-y.
Zadeh, Mohammad Bolboli, Phu Nguyen, Kuo-Lin Hsu, Amir AghaKouchak, Tu Thanh Ung, and Soroosh Sorooshian, 2026: A global high-resolution precipitation climate record: PERSIANN-CCS-CDR Version 2.0. Sci. Data, 13, 314, https://doi.org/10.1038/s41597-026-06625-5.
Updated 15-10-26