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Gleason, S., S. Lowe and V. Zavorotny (January 2009): Chapter 16 Bistatic Remote Sensing. In: GNSS Applications and Methods. Gleason, S. and D. Gebre-Egziabher (Eds.), The GNSS Technology and Applications Series, 399-436, Artech House, ISBN 978-1-59693-329-3.
Alexander, M. A. (January 2010): Extratropical air-sea interaction, sea surface temperature variability, and the Pacific Decadal Oscillation. In: Climate Dynamics: Why Does Climate Vary?. Sun, D.-Z. and F. Bryan (Eds.), Geophys. Monogr. Ser., 189, 123-148, AGU, Washington, DC, https://doi.org/10.1029/2008GM000794.
Bedard , A. J. (December 2010): Meteorology, Chapter 257. In: Encyclopedia of Aerospace Engineering. , 3353-3369, John Wiley & Sons, ISBN 9780470686652, https://doi.org/10.1002/9780470686652.eae320.
Butchart, N. A., A. J. Charlton-Perez, I. Cionni, S. C. Hardiman, K. Krueger, P. Kushner, P. Newman, S. M. Osprey, J. Perlwitz, F. Sassi, M. Sigmond and L. Wang (June 2010): Stratospheric Dynamics. In: Report on the Evaluation of Chemistry Climate Models. Eyring, V., T. G. Shepherd and D.W. Waugh (Eds.), SPARC Report (5), 109-147, WMO - World Climate Research Program.
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Capotondi, A. (January 2010): El Niño–Southern Oscillation ocean dynamics: Simulation by coupled general circulation models. In: Climate Dynamics: Why Does Climate Vary?. Sun, D.-Z. and F. Bryan (Eds.), Geophys.Monogr. Ser., 189, 105-122, AGU, Washington, DC, ISBN 978-0-87590-480-1, https://doi.org/10.1029/2008GM000796.
Cifelli, R. and V. Chandrasekar (January 2010): Dual polarization radar rainfall estimation, in "Rainfall, State of the Science". In: Rainfall: State of the Science. Testik, F. Y. and M. Gebremichael (Eds.), Geophys. Monogr. Series, 191, 105-125, AGU, Wasington, DC, ISBN 978-0-87590-481-8, https://doi.org/10.1029/2010GM000930.
Penland, C. (January 2010): A linear stochastic model of tropical sea surface temperatures related to El Niño. In: Climate Dynamics: Why Does Climate Vary?. Sun, D.-Z. and F. Bryan (Eds.), Geophys. Monogr. Ser., 189, 65-77, AGU, Washington, DC, ISBN 978-0-87590-480-1, https://doi.org/10.1029/2008GM000814.
Penland, C., D.-Z. Sun, A. Capotondi and D. J. Vimont (January 2010): A brief introduction to El Niño and La Niña. In: Climate Dynamics: Why Does Climate Vary?. Sun, D.-Z. and F. Bryan (Eds.), Geophys. Monogr. Ser., 189, 53-64, AGU, Washington, DC, ISBN 978-0-87590-480-1, https://doi.org/10.1029/2008GM000846.
Sun, D.-Z. (January 2010): The diabatic and nonlinear aspects of the El Niño—Southern Oscillation: Implications for its past and future behavior. In: Climate Dynamics: Why Does Climate Vary?. Sun, D.-Z. and F. Bryan (Eds.), Geophys. Monogr. Ser., 189, 79-103, AGU, Washington, DC, ISBN 978-0-87590-480-1, https://doi.org/10.1029/2009GM000865.
Hamlington, B. D., O. A. Godin, V. G. Irisov and R. R. Leben (January 2011): Detection of Tsunamis from Changes in Ocean Surface Roughness. In: The Tsunami Threat - Research and Technology. Mörner, N.-A. (Eds.), 29-46, InTech, ISBN 978-953-307-552-5, https://doi.org/10.5772/13979.
Banta, R. M., C. M. Shun, D. C. Law, . . ., M. J. Post and L. S. Darby (January 2013): Observational Techniques: Sampling the Mountain Atmosphere. In: Mountain Weather Research and Forecasting. Chow, F. K., S. F. J. De Wekker and B. J. Snyder (Eds.), Springer Atmospheric Sciences, 409-530, Springer , Netherlands, ISBN 978-94-007-4097-6, https://doi.org/10.1007/978-94-007-4098-3_8.
Bindoff, N. L., P. A. Stott, . . ., J. Perlwitz, et al. (January 2013): Detection and Attribution of Climate Change: from Global to Regional. In: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Stocker, T. F., D. Qin, G.-K Plattner, M. Tignor, S. K. Allen, J. Boschung, A. Nauels, Y. Xia, V. Bex and P. M. Midgely (Eds.), IPCC Fifth Assessment Report, WGI, 867-952, Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA.
Cayan, D. R., M. Tyree, E. Kunkel, C. Castro, A. Gershunov, J. J. Barsugli, A. J. Ray, et al. (January 2013): Chapter 6. Future Climate: Projected Average. In: Assessment of Climate Change in the Southwest United States. Garfin, G. M., A. Jardine, R. Merideth, M. Black and Sarah LeRoy (Eds.), National Climate Assessment, 101-125, Island Press, Washington, DC.
Gershunov, A., B. Rajagopalan, J. Overpeck, K. Guirguis, D. R. Cayan, M. Hughes, . . ., A. J. Ray, J. J. Barsugli, . . . and M. A. Alexander (May 2013): Future Climate: Projected Extremes (Chapter 7). In: Assessment of Climate Change in the Southwest United States: A Report Prepared for the National Climate Assessment. Garfin, G. M. (Eds.), NCA Regional Input Reports, 126-147, Island Press, Washington, DC, ISBN 9781610914468.
Stott, P. A., M. Allen, N. Christidis, R. M. Dole, M. P. Hoerling, C. Huntingford, P. Pall, J. Perlwitz and D. Stone (January 2013): Attribution of Weather and Climate-Related Events. In: Climate Science for Serving Society. , 307-337, Springer, Netherlands, https://doi.org/10.1007%2F978-94-007-6692-1_12.
Garbe, C. S., A. Rutgersson, J. Boutin, . . . and C. W. Fairall (January 2014): Transfer Across the Air-Sea Interface (Chapter 2). In: Ocean-Atmosphere Interactions of Gases and Particles. Liss, P. S. and M. T. Johnson (Eds.), Springer Earth System Sciences, 55-112, Springer, ISBN 978-3-642-25642-4, https://doi.org/10.1007/978-3-642-25643-1 .
Hamill, T. M. and R. Swinbank (June 2015): Chapter 11. Stochastic forcing, ensemble prediction systems, and TIGGE. In: Seamless Prediction of the Earth System: from Minutes to Months. , 1156, 187-212, World Meteorological Organization, Geneva, Switzerland, ISBN 978-92-63-11156-2.
Rabier, F., A. J. Thorpe, A. R. Brown, . . ., T. M. Hamill, et al. (June 2015): Chapter 16: Global Environmental Prediction. In: Seamless Prediction of the Earth System: From Minutes to Months. WMO-1156, 311-330, World Meteorological Organization, Geneva, Switzerland, ISBN 978-92-63-11156-2 .
Rangwala, I., N. Pepin, M. Vuille and J. Miller (September 2015): Chapter 2. Influence of climate variability and large-scale circulation on the mountain cryosphere. In: THE HIGH-MOUNTAIN CRYOSPHERE: Environmental Changes and Human Risks. Huggel, C., M. Carey, J. J. Clague and A. Kääb (Eds.), 9-27, Cambridge University Press, ISBN 9781107065840, https://doi.org/10.1017/CBO9781107588653.002.
Gordon, E., L. Dilling, E. McNie and A. J. Ray (April 2016): 11. Navigating scales of knowledge and decision-making in the Intermountain West: implications for science policy. In: Climate in Context: Science and Society Partnering for Adaptation. Parris, A. S., G. M. Garfin, K. Dow, R. Meyer and S. L. Close (Eds.), 235-254, John Wiley & Sons, Ltd, Chichester, UK, ISBN 9781118474792, https://doi.org/10.1002/9781118474785.ch11.
Hobbins, M. T. and J. Huntington (October 2016): Evapotranspiration and evaporative demand. In: Handbook of Applied Hydrology, Second Edition. Singh, V. P. (Eds.), 42-1-42-14, McGraw-Hill Education, New York, ISBN 9780071835091.
Mlawer, E. J., M. J. Iacono, R. Pincus, H. W. Barker, L. Oreopoulos and D. L. Mitchell (July 2016): Chapter 15. Contributions of the ARM Program to Radiative Transfer Modeling for Climate and Weather Applications. In: The Atmospheric Radiation Measurement (ARM) Program: The First 20 Years. Meteor. Monogr., 57 (1), 15.1-15.19, AMS, https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0041.1.
Ray, A. J. (June 2016): Providing climate science to real-world policy decisions: a scientist's view from the trenches. In: Water Policy and Planning in a Variable and Changing Climate. Miller, K. A., A. F. Hamlet, D. S. Kenney and K. Redmond (Eds.), Drought and Water Crises, (K22565), 141-160, CRC Press, ISBN 9781482227970.
Ray, A. J. and R. S. Webb (April 2016): 2. Understanding the user context: decision calendars as frameworks for linking climate to policy, planning, and decision-making. In: Climate in Context: Science and Society Partnering for Adaptation. Parris, A. S., G. M. Garfin, K. Dow and R. Meyer (Eds.), 27-50, John Wiley & Sons, Ltd, Chichester, UK, ISBN 9781118474792, https://doi.org/10.1002/9781118474785.ch2.
Shupe, M. D., J. M. Comstock, D. D. Turner and G. G. Mace (July 2016): Chapter 19. Cloud Property Retrievals in the ARM Program. In: The Atmospheric Radiation Measurement (ARM) Program: The First 20 Years. Meteor. Monogr., 57 (1), 19.1-19.20, AMS, https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0030.1.
Takayabu, Y. N., G. N. Kiladis and V. Magaña (May 2016): Chapter 3. Michio Yanai and Tropical Waves. In: Multiscale Convection-Coupled Systems in the Tropics: A tribute to Dr. Michio Yanai. Meteor. Monogr., 56 (1), 3.1-3.21, AMS, https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0019.1.
Verlinde, J., B. D. Zak, M. D. Shupe, M. D. Ivey and K. Stamnes (June 2016): Chapter 8. The ARM North Slope of Alaska (NSA) Sites. In: The Atmospheric Radiation Measurement (ARM) Program: The First 20 Years. Meteor. Monogr., 57 (1), 8.1-8.13, AMS, https://doi.org/10.1175/AMSMONOGRAPHS-D-15-0023.1.
Yocum, H. (November 2016): Chapter 14. Equity Concerns During REDD+ Planning and Early Implementation: A Case from Malawi. In: The Carbon Fix: Forest Carbon, Social Justice, and Environmental Governance. Paladino, S. and S. J. Fiske (Eds.), Routledge, New York, NY, ISBN 9781611323320.
Bühl, J., S. Alexander, A. Crewell, A. J. Heymsfield, H. Kalesse, A. P. Khain, M. Maahn, K. Van-Tricht and M. Wendisch (January 2017): Chapter 10: Remote Sensing. In: Ice Formation and Evolution in Clouds and Precipitation: Measurement and Modeling Challenges. Meteor. Monogr., 58 (1), 10.1-10.21, AMS, https://doi.org/10.1175/AMSMONOGRAPHS-D-16-0015.1.
Hobbins, M. T., D. J. McEvoy and C. R. Hain (October 2017): Chapter 11. Evapotranspiration, Evaporative Demand, and Drought. In: Drought and Water Crises: Integrating Science, Management, and Policy, Second Edition. Wilhite, D. A. and R. S. Pulwarty (Eds.), CRC Press, ISBN 9781138035645.
Knutson, T., J. P. Kossin, C. Mears, J. Perlwitz and M. F. Wehner (November 2017): Chapter 3. Detection and attribution of climate change. In: Climate Science Special Report: Fourth National Climate Assessment, Volume I . Wuebbles, D. J., D. W. Fahey, K. A. Hibbard, D. J. Dokken, B. C. Stewart and T. K. Maycock (Eds.), 1, 147-132, U. S. Global Change Research Program, Washington, DC, https://doi.org/10.7930/J01834ND.
Perlwitz, J., T. Knutson, J. P. Kossin and A. N. LeGrande (November 2017): Chapter 5: Large-Scale Circulation and Climate Variability. In: Climate Science Special Report: Fourth National Climate Assessment, Volume I. Wuebbles, D. J., D. W. Fahey, K. A. Hibbard, D. J. Dokken, B. C. Stewart and T. K. Maycock (Eds.), 1, 161-184, U.S. Global Change Research Program, Washington, DC, https://doi.org/10.7930/J0RV0KVQ.
Taylor, P. C., W. Maslowski, J. Perlwitz and D. J. Wuebbles (November 2017): Chapter 11. Arctic changes and their effects on Alaska and the rest of the United States. In: Climate Science Special Report: Fourth National Climate Assessmentt, Volume I. Wuebbles, D. J., D. W. Fahey, K. A. Hibbard, D. J. Dokken, B. C. Stewart and T. K. Maycock (Eds.), 1, 303-332, U.S. Global Change Research Program, Washington, DC, https://doi.org/10.7930/J00863GK.
Thiaw, W. M., S. Janicot, E. Bekele, K. H. Cook, B. Fontaine, A. Mekonnen, O. Ndiaye, P.-H. K. Tamo and G. N. Kiladis (March 2017): Chapter 7. Subseasonal Forecasting, in Meteorology of Tropical West Africa. In: Meteorology of tropical West Africa: The Forecasters’ Handbook . Parker, D. J. and M. Diop‐Kane (Eds.), 255-288, John Wiley & Sons Ltd., ISBN 9781118391303, https://doi.org/10.1002/9781118391297.ch7.
Gould, W. A., . . ., R. S. Pulwarty, et al. (November 2018): Chapter 20. U.S. Caribbean. In: Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume II . Reidmiller, D. R., C. W. Avery, D. R. Easterling, K. E. Kunkel, K. L. M. Lewis, T. K. Maycock and B. C. Stewart (Eds.), 809-871, U.S. Global Change Research Program, Washington, DC, https://doi.org/10.7930/NCA4.2018.CH20.
Hamill, T. M. (May 2018): Chapter 7. Application of Post-Processing to Weather Forecasts . In: Statistical Postprocessing of Ensemble Forecasts. Vannitsem, S., D. Wilks and J. Messner (Eds.), Elsevier Press, ISBN 9780128123720.
Lall, U., . . ., R. S. Pulwarty, et al. (November 2018): Chapter 3. Water. In: Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume II . Reidmiller, D. R., C. W. Avery, D. R. Easterling, K. E. Kunkel, K. L. M. Lewis, T. K. Maycock and B. C. Stewart (Eds.), 145-173, U.S. Global Change Research Program, Washington, DC, https://doi.org/10.7930/NCA4.2018.CH3.
Lempert, R., R. Arnold, R. S. Pulwarty, et al. (November 2018): Chapter 28. Reducing Risks Through Adaptation Actions. In: Impacts, Risks, and Adaptation in the United States: Fourth National Climate Assessment, Volume II. Reidmiller, D. R., C. W. Avery, D. R. Easterling and K. E. Kunkel (Eds.), 1309-1345, U.S. Global Change Research Program, Washington, DC, https://doi.org/10.7930/NCA4.2018.CH28.
Webb, R. S. (March 2018): CLIMATE LECTURE 9: Wisdom, Climate, and Water Resources. In: Our Warming Planet: Topics in Climate Dynamics. Rosenzweig, C., D Rind, A. Lacis and D. Manley (Eds.), Lectures in Climate Change, 1, 197-213, World Scientific, ISBN 978-981-3148-77-2, https://doi.org/10.1142/9789813148796_0009.
Hobbins, M. T., I. Rangwala, J. J. Barsugli and C. Dewes (July 2019): Chapter 25. Extremes in evaporative demand and their implications for drought and drought monitoring in the 21st Century. . In: Extreme Hydrology and Climate Variability: Monitoring, Modeling, Adaptation and Mitigation. Melesse, A. M., W. Abtew and G. B. Senay (Eds.), Elsevier, New York, NY, ISBN 9780128159989.
Hobbins, M. T., G. Senay, P. H. Gowda and G. Artan (May 2019): Chapter 3. Evapotranspiration and Evaporative Demand. In: Statistical Analysis of Hydrological Variables: Methods and Applications. Teegavarapu, R., J. D. Salas and J. R. Stedinger (Eds.), 71-143, American Society of Civil Engineers, ISBN 9780784415177, https://doi.org/10.1061/9780784415177.ch03.
Randall, D. A., C. M. Bitz, G. Danabasoglu, A. S. Denning, P. R. Gent, A. Gettelman, S. M. Griffies, P. Lynch, H. Morrison, R. Pincus and J. Thuburn (July 2019): Chapter 12. 100 Years of Earth System Model Development. In: A Century of Progress in Atmospheric and Related Sciences: Celebrating the American Meteorological Society Centennial. Meteor. Monogr., 59, 12.1-12.66, AMS, https://doi.org/10.1175/AMSMONOGRAPHS-D-18-0018.1.
Capotondi, A., A. T. Wittenberg, J.-S. Kug, K. Takahashi and M. J. McPhaden (November 2020): Chapter 4. ENSO Diversity. In: El Niño Southern Oscillation in a Changing Climate. McPhaden, M. J., A. Santoso and W. Cai (Eds.), Geophys. Monograph, AGU, ISBN 978-1-119-54812-6, 528 pp.
Dettinger, M. D., D. A. Lavers, G. P. Compo, I. V. Gorodetskaya, W. D. Neff, P. J. Neiman, A. M. Ramos, J. J. Rutz, M. Viale, A. J. Wade and A. B. White (January 2020): Chapter 5. Effects of Atmospheric Rivers. In: Atmospheric Rivers. Ralph, F. M., M. D. Dettinger and D. E. Waliser (Eds.), 141-177, Springer International Publishing.
Guilyardi, E., A. Capotondi, M. Lengaigne, S. Thual and A. Wittenberg (November 2020): Chapter 9. ENSO Modelling: History, Progress and Challenges. In: El Niño Southern Oscillation in a Changing Climate. McPhaden, M. J., A. Santoso and W. Cai (Eds.), Geophys. Monogr., AGU, ISBN 978-1-119-54812-6.
L'Heureux, M. L., A. Levine, M. Newman, C. Ganter, J.-J. Luo, M. Tippett and T. Stockdale (November 2020): Chapter 10: ENSO Prediction. In: El Niño Southern Oscillation in a Changing Climate. McPhaden, M. J., A. Santoso and W. Cai (Eds.), AGU, ISBN 978-1-119-54812-6.
Pincus, R. and H. Chepfer (September 2020): Ch. 4. Clouds as light. In: Clouds and Climate: Climate Science's Greatest Challenge. Siebesma, A. P., S. Bony, C. Jakob and B. Stevens (Eds.), 99-122, Cambridge University Press, https://doi.org/https://doi.org/10.1017/9781107447738.005.
Ralph, F. M., D. E. Waliser, M. D. Dettinger, J. J. Rutz, M. L. Anderson, I. V. Gorodetskaya, B. Guan and W. D. Neff (August 2020): Chapter 8. The Future of Atmospheric River Research and Applications. In: Atmospheric Rivers. Ralph, F. M., M. D. Dettinger, J. J. Rutz and D. E. Waliser (Eds.), 219-247, Springer International Publishing, ISBN 978-3-030-28905-8, https://doi.org/10.1007/978-3-030-28906-5.
Ralph, F. M., A. B. White, G. A. Wick, M. L. Anderson and J. J. Rutz (August 2020): Chapter 3. Observing and Detecting Atmospheric Rivers. In: Atmospheric Rivers. Ralph, F. M., M. D. Dettinger, J. J. Rutz and D. E. Waliser (Eds.), 45-87, Springer International Publishing, ISBN 978-3-030-28905-8, https://doi.org/10.1007/978-3-030-28906-5.
Rutz, J. J., B. Guan, D. Bozkurt, I. V. Gorodetskaya, A. Gurshunov, D. A. Lavers, K. M. Mahoney, B. J. Moore, W. D. Neff, P. J. Neiman, F. M. Ralph, A. M. Ramos, H. C. Steen-Larsen, M. Tsukernik, R. A. Valenzuela and M. Viale (August 2020): Chapter 4. Global and Regional Perspectives. In: Atmospheric Rivers. Ralph, F. M., M. D. Dettinger, J. J. Rutz and D. E. Waliser (Eds.), 89-140, Springer International Publishing, ISBN 978-3-030-28905-8, https://doi.org/10.1007/978-3-030-28906-5.
Van Abel, K., A. Back, M. K. Brennan, O. S. Chegwidden, M. Hughes, M. Pinheiro and C. M. Bitz (December 2020): Ch. 1 Exploring the Application of Machine Learning for Downscaling Climate Projections. In: Research in Mathematics and Public Policy. Lee, M. and A. Najera Chesler (Eds.), Association for Women in Mathematics Series, 23, 1-17, Springer International Publishing, ISBN 978-3-030-58748-2, https://doi.org/10.1007/978-3-030-58748-2.
Pulwarty, R. S., D. R. Easterling, J. Adkins and A. Smith (January 2021): Chapter 10. Financing Weather and Climate Risks in the United States. In: Evaluating Climate Change Impacts. Lyubchich, V., Y. Gel, K. H. Kilbourne, T. J. Miller, K. Newlands and A. Smith (Eds.), 217-247, Chapman and Hall/CRC Press, ISBN 9780815392378, 394 pp.
Kottmeier, C., B. Adler, N. Kalthoff, U. Löhnert and U. Görsdorf (December 2021): Composite Atmospheric Profiling. In: Springer Handbook of Atmospheric Measurements. Foken, T. (Eds.), Springer Handbooks, 1295-1319, Springer, Cham, https://doi.org/10.1007/978-3-030-52171-4_47.
Baghban, S., O. Bozorg-Haddad, R. Berndtsson, M. T. Hobbins and N. Al-Ansari (June 2022): Chapter 9. Mitigation and Adaptation Measures. In: Climate Change in Sustainable Water Resources Management. Springer Water, 331–360, Springer, Singapore, ISBN 978-981-19-1898-8, 30 pp., https://doi.org/10.1007/978-981-19-1898-8_9.
Myers, T. A., R. Vogel, F. Brient, H. Parishani and R.C. Scott (December 2023): Tropical Marine Low Clouds: Feedbacks to Warming and on Climate Variability. In: Clouds and Their Climatic Impacts . Sullivan, S.C. and C. Hoose (Eds.), , https://doi.org/10.1002/9781119700357.ch7.
Hong, S.-Y. and JE. E Kim (November 2023): Heavy Rainfall Mechanism Over East Asia: Numerical Modeling Perspective. In: Numerical Weather Prediction: East Asian Perspectives. Park, S. K. (Eds.), Springer Atmospheric Sciences, Springer, Cham, https://doi.org/10.1007/978-3-031-40567-9_13.
Mills, K. E., E. B. Osborne, R. J. Bell, C. S. Colgan, S. R. Cooley, M. C. Goldstein, R. B. Griffis, K. Holsman, M. G. Jacox and F. Micheli (November 2023): Ch. 10. Ocean ecosystems and marine resources.. In: Fifth National Climate Assessment. Crimmins, A. R., C. W. Avery, D. R. Easterling, K. E. Kunkel, B. C. Stewart and T. K. Maycock (Eds.), U.S. Global Change Research Program, Washington, DC, USA, https://doi.org/10.7930/NCA5.2023.CH10.
Singh, D., A. R. Crimmins, J. M. Pflug, P.L. Barnard, J.F. Helgeson, A. Hoell, F. H. Jacobs, M. G. Jacox, A. Jerolleman and M. F. Wehner (November 2023): Focus on compound events. In: Fifth National Climate Assessment. Crimmins, A. R., C. W. Avery, D. R. Easterling, K. E. Kunkel, B. C. Stewart and T. K. Maycock (Eds.), U.S. Global Change Research Program, Washington, DC, USA, https://doi.org/10.7930/NCA5.2023.F1.
Méndez-Lazaro, P. A. , . . ., R. S. Pulwarty, et al. (November 2023): Ch. 23. US Caribbean. In: Fifth National Climate Assessment. Crimmins, A. R., C. W. Avery, D. R. Easterling, K. E. Kunkel, B. C. Stewart and T. K. Maycock (Eds.), U.S. Global Change Research Program, Washington, DC, USA, https://doi.org/10.7930/NCA5.2023.CH23.
Hellmuth, M. E., . . ., R. S. Pulwarty, et al. (November 2023): Ch. 17. Climate effects on US international interests. In: Fifth National Climate Assessment. Crimmins, A. R., J. P. Avery, D. R. Easterling, K. E. Kunkel, B. C. Stewart and T. K. Maycock (Eds.), Eds. U.S. Global Change Research Program, Washington, DC, USA, https://doi.org/10.7930/NCA5.2023.CH17.
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Cox, C. J. and L. M. Hartten (December 2017): El Niño Rapid Response (ENRR) Field Campaign: Surface Fluxes from NOAA Ship Ronald H. Brown, 2016-02 to 2016-03 (NCEI Accession 0167875). Version 2.2.. NOAA NCEI, Dataset, https://doi.org/10.7289/V58050VP.
Cox, C. J., D. E. Wolfe, L. M. Hartten and P. E. Johnston (June 2017): El Niño Rapid Response (ENRR) Field Campaign: Radiosonde Data (Level 2) from the NOAA Ship Ronald H. Brown, February-March 2016 (NCEI Accession 0161527), Version 1.1. NOAA NCEI, Dataset, https://doi.org/10.7289/V5X63K15 .
Cox, C. J., D. E. Wolfe, L. M. Hartten and P. E. Johnston (June 2017): El Niño Rapid Response (ENRR) Field Campaign: Surface Meteorological and Ship Data from the NOAA Ship Ronald H. Brown, February-March 2016 (NCEI Accession 0161528), Version 1.1. NOAA NCEI, Dataset, https://doi.org/10.7289/V5SF2T80.
Hartten, L. M., P. E. Johnston, C. J. Cox and D. E. Wolfe (June 2017): El Niño Rapid Response (ENRR) Field Campaign: Radiosonde Data (Level 2) from Kiritimati Island, January-March 2016 (NCEI Accession 0161525), Version 1.1.. NOAA NCEI, Dataset, https://doi.org/10.7289/V55Q4T5K.
Hartten, L. M., P. E. Johnston, C. J. Cox and D. E. Wolfe (June 2017): El Niño Rapid Response (ENRR) Field Campaign: Surface Meteorological Data from Kiritimati Island, January-March 2016 (NCEI Accession 0161526), Version 1.1. NOAA NCEI, Dataset, https://doi.org/10.7289/V51Z42H4 .
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Shupe, M. D. (September 2017): Ceilometer Cloud Base Height Measurements at Summit Station, Greenland, 2017. Arctic Data Center, Dataset, https://doi.org/10.18739/A2PR7MT2S.
Shupe, M. D. (September 2017): Cloud and Aerosol Polarization and Backscatter LiDAR measurements taken at Summit Station, Greenland, 2017. Arctic Data Center, Dataset, https://doi.org/10.18739/A29K45S4N.
Shupe, M. D. (September 2017): MicroPulse LIDAR (MPL) measurements taken at Summit Station, Greenland, 2017. Arctic Data Center, Dataset, https://doi.org/10.18739/A2319S25P.
Shupe, M. D. (September 2017): Millimeter Cloud Radar measurements taken at Summit Station, Greenland, 2017. Arctic Data Center, Dataset, https://doi.org/10.18739/A26M3333D.
Shupe, M. D. (September 2017): Precipitation Occurrence Sensor System measurements taken at Summit Station, Greenland, 2017. Dataset, https://doi.org/10.18739/A24Q7QP7B.
Shupe, M. D. (September 2017): SOnic Detection And Ranging (SODAR) measurements taken at Summit Station, Greenland, 2017. Arctic Data Center, Dataset, https://doi.org/10.18739/A2V698B7K.
Walden, V. P. and M. D. Shupe (September 2017): Radiosonde temperature and humidity profiles taken at Summit Station, Greenland, 2017. Arctic Data Center, Dataset, https://doi.org/10.18739/A2W66979S.
Bariteau, L., C. W. Fairall, B. W. Blomquist and S. Pezoa (January 2018): CAPRICORN 2016 Field campaign: surface meteorological data and turbulent fluxes collected from the RV Investigator by the National Oceanographic and Atmospheric Administration (NOAA) in the Indian and South Pacific Oceans from 2016-03-14 to 2016-04-15 (NCEI Accession 0170257). Version 1.1.. NOAA NCEI, Dataset, https://doi.org/10.7289/V5Q81BBC.
Shupe, M. D. (September 2018): Ceilometer Cloud Base Height Measurements at Summit Station, Greenland, 2018. Arctic Data Center. Arctic Data Center, Dataset, https://doi.org/10.18739/A2KP7TQ9P.
Shupe, M. D. (September 2018): Cloud and Aerosol Polarization and Backscatter LiDAR measurements taken at Summit Station, Greenland, 2018. Arctic Data Center. . Arctic Data Center, Dataset, https://doi.org/10.18739/A25T3FZ9D.
Shupe, M. D. (September 2018): Millimeter Cloud Radar measurements taken at Summit Station, Greenland, 2018. Arctic Data Center. . Dataset, https://doi.org/10.18739/A2F47GT18.
Shupe, M. D. (September 2018): Precipitation Occurrence Sensor System measurements taken at Summit Station, Greenland, 2018. Arctic Data Center. . Arctic Data Center, Dataset, https://doi.org/10.18739/A20Z70W42.
Shupe, M. D. (September 2018): SOnic Detection And Ranging (SODAR) measurements taken at Summit Station, Greenland, 2018. Arctic Data Center. . Arctic Data Center, Dataset, https://doi.org/10.18739/A2QF8JJ3F.
Walden, V. P. and M. D. Shupe (September 2018): Radiosonde temperature and humidity profiles taken at Summit Station, Greenland, 2018. Arctic Data Center.. Arctic Data Center, Dataset, https://doi.org/10.18739/A2RF5KF45.
Bariteau, L., C. W. Fairall, B. W. Blomquist and S. Pezoa (May 2019): Surface meteorological data and turbulent fluxes collected by the NOAA as part of the Woods Hole Oceanographic Institute (WHOI) Hawaii Ocean Time-series Station (WHOTS) project in the North and Southeast Pacific Ocean from 2001-10-10 to 2018-04-12 . NOAA NCEI, Dataset, https://doi.org/10.25921/2dck-3068.
Compo, G. P., L. C. Slivinski, J. S. Whitaker, P. D. Sardeshmukh, C. McColl, P. Brohan, R. Allan, X. Yin, R. Vose, L. J. Spencer, et al. (November 2019): The International Surface Pressure Databank version 4. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory, Dataset, https://doi.org/10.5065/9EYR-TY90.
Rangwala, I., L. Smith, G. Senay, J. J. Barsugli, S. Kagone and M. T. Hobbins (May 2019): Landscape Evaporative Response Index (LERI): A high resolution monitoring and assessment of evapotranspiration across the Contiguous United States. U.S. Geological Survey ScienceBase, Dataset, https://doi.org/10.21429/43r4-3q68.
Slivinski, L. C., G. P. Compo, J. S. Whitaker, P. D. Sardeshmukh, B. S. Giese, C. McColl, P. Brohan, R. Allan, X. Yin, R. Vose, H. Titchner, J. Kennedy, L. J. Spencer, et al. (October 2019): NOAA-CIRES-DOE Twentieth Century Reanalysis Version 3. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory., Dataset, https://doi.org/10.5065/H93G-WS83.
Spencer, L., C. McColl, P. Brohan, K. Wood, R. Allan and G. P. Compo (February 2019): OldWeather3 Marine Data for ICOADS Input. National Center for Atmospheric Research, Computational and Information Systems Laboratory, Dataset, https://doi.org/10.5065/Q54H-3R61.
Bianco, L., J. Duncan, D. D. Turner and J. M. Wilczak (April 2020): NOAA Microwave Radiometer Data and Thermodynamic Profile Retrievals. UCAR/NCAR - EOL, Dataset, https://doi.org/10.26023/Y0W2-8BAG-6Y0A .
Brus, D., J. Gustafsson, O. Kemppinen, G. de Boer and A. Hirsikko (April 2020): Atmospheric aerosol, gases and meteorological parameters measured during the LAPSE-RATE campaign - Kansas State University data sets. Zenodo, Dataset, https://doi.org/10.5281/zenodo.3993996 .
Wilczak, J. M. and D. J. Gottas (May 2020): NOAA PSL Radar Wind Profiler, Radio Acoustic Sounding System, and Surface Meteorology Data. Version 2.0. UCAR/NCAR - Earth Observing Laboratory, Dataset, https://doi.org/10.26023/PQ0Q-T5TH-KY0Q .
de Boer, G., S. Borenstein, C. Dixon and B. Argrow (May 2020): University of Colorado MURC Observations from LAPSE-RATE. Zenodo, Dataset, https://doi.org/10.5281/zenodo.3875493.
de Boer, G., C. Dixon, S. Borenstein, K. Glasheen, D. Hesselius, C. Choate, Z. Laouar, F. Quimby, E. Frew and B. Argrow (March 2020): TTWISTOR files from LAPSE-RATE. Zenodo, Dataset, https://doi.org/10.5281/zenodo.3694100.
de Boer, G., R. Laurence III, S. Borenstein, C. Dixon and B. Argrow (March 2020): Talon files from LAPSE-RATE. Zenodo, Dataset, https://doi.org/10.5281/zenodo.3694117.
de Boer, G., D. Lawrence and A. Doddi (March 2020): DataHawk2 files from LAPSE-RATE. Zenodo, Dataset, https://doi.org/10.5281/zenodo.3694084.
de Boer, G., S. Borenstein, R. Calmer, M. Rhodes, C. Choate, J. Hamilton and J. M. Intrieri (February 2021): ATOMIC CU-RAAVEN UAS: Lower-atmospheric meteorological and surface properties from the CU-RAAVEN unmanned aircraft system (UAS) over the Tropical Atlantic Ocean, near Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-24 to 2020-02-16 (NCEI Accession 0225373). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/jhnd-8e58.
Thomson, J., E. J. Thompson, S. Iyer, K. Drushka and A. de Klerk (February 2021): ATOMIC Wave Gliders: Near-surface meteorology, air-sea fluxes, surface ocean waves, and near-surface ocean parameters (currents, temperature, salinity) estimated from in-situ and remote sensing instruments aboard two Wave Gliders launched and recovered from NOAA Ship Ronald H. Brown in the North Atlantic Ocean, near Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-09 to 2020-02-11 (NCEI Accession 0225336). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/dvys-1f29.
Thompson, E. J., C. W. Fairall, S. Pezoa and L. Bariteau (February 2021): ATOMIC ship navigation, meteorology, seawater, fluxes: Near-surface meteorology, air-sea fluxes, surface ocean waves, and near surface ocean parameters (temperature, salinity, currents) and primary dataset of ship location and navigation estimated from in-situ and remote sensing instruments aboard NOAA Ship Ronald H. Brown in the North Atlantic Ocean, near Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-09 to 2020-02-12 (NCEI Accession 0225427). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/etxb-ht19.
Thompson, E. J. (February 2021): ATOMIC ship skin SST radiometer ROSR: Ocean skin surface temperature estimated from remote sensing of infrared radiation by the Remote Ocean Surface Radiometer (ROSR) aboard NOAA Ship Ronald H. Brown in the North Atlantic Ocean, near Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-09 to 2020-01-26 (NCEI Accession 0225402). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/nwx9-rd07.
Thompson, E. J., P. Zuidema, C. W. Fairall, S. Pezoa, K. P. Moran and L. Bariteau (February 2021): ATOMIC ship W-band radar: Vertical Profiles of cloud, vertical velocity, and precipitation parameters estimated from a motion-stabilized vertically-pointing W-band (94 GHz) Doppler radar aboard NOAA Ship Ronald H. Brown in the North Atlantic Ocean, near Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-29 to 2020-02-13, (NCEI Accession 0225423). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/44cy-kr53.
Thompson, E. J., C. W. Fairall, S. Pezoa and L. Bariteau (February 2021): ATOMIC ship ceilometer: Cloud base height and vertical profiles of visible light backscattered from aerosols and clouds in the atmospheric boundary layer estimated from a vertically-pointing lidar remote sensing instrument aboard NOAA Ship Ronald H. Brown in the North Atlantic Ocean, near Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2010-01-09 to 2010-02-12 (NCEI Accession 0225425). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/jbz6-e918.
NOAA Physical Sciences Laboratory (October 2020): ATOMIC aircraft AXBT: Subsurface ocean temperature measurements from Airborne eXpendable BathyThermographs (AXBT) deployed from N43 aircraft, Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-19 to 2020-02-11 (NCEI Accession 0220436). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/pe39-sx75.
NOAA Physical Sciences Laboratory (October 2020): ATOMIC aircraft flight level navigation meteorology: Wind speed, relative humidity, aircraft parameters, and other measurements taken from N43 aircraft in the North Atlantic Ocean, Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-17 to 2020-02-11 (NCEI Accession 0220621). Dataset, https://doi.org/10.25921/7jf5-wv54.
NOAA Physical Sciences Laboratory (October 2020): ATOMIC aircraft W-band radar: Reflectivity, Doppler velocity, and spectral width taken from W-band radar abouard N43 aircraft in the North Atlantic Ocean, Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-17 to 2020-02-11 (NCEI Accession 0220624). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/n1hc-dc30.
NOAA Physical Sciences Laboratory (October 2020): ATOMIC aircraft remote sensing cloud, rain, wind, wave: Cloud and precipitation parameters and 10-meter wind speed estimated from remote sensing instruments aboard N43 aircraft in the North Atlantic Ocean, Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-17 to 2020-02-11 (NCEI Accession 0220625). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/x9q5-9745.
NOAA Physical Sciences Laboratory (October 2020): ATOMIC aircraft remote sensing wave, rain:Wave height and other measurements from wide-swath radar altimeter (WSRA) aboard N43 aircraft in the North Atlantic Ocean, Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-17 to 2020-02-11 (NCEI Accession 0220627). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/qm06-qx04.
NOAA Physical Sciences Laboratory (October 2020): ATOMIC aircraft water vapor Picarro: Water vapor measurements from isotope analyzer aboard N43 aircraft in the North Atlantic Ocean, Barbados: Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign 2020-01-17 to 2020-02-11 (NCEI Accession 0220631). NOAA National Centers for Environmental Information, Dataset, https://doi.org/10.25921/c5yx-7w29.
de Boer, G., S. Borenstein, J. Hamilton, M. Rhodes, C. Choate and P. Cleary (July 2021): CU RAAVEN data for WiscoDISCO21. Zenodo, Dataset, https://doi.org/10.5281/zenodo.5142491.
Raleigh, M. S., W. R. Currier, J. D. Lundquist, P. Houser and C. Hiemstra (January 2022): SnowEx17 Time-Lapse Imagery, Version 1 (SNEX17_TLI). NASA National Snow and Ice Data Center Distributed Active Archive Center, Dataset, https://doi.org/10.5067/WYRNU50R9L5R.
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, A. Solomon, et al. (December 2021): 10-meter (m) meteorological flux tower measurements (Level 1 Raw), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 - September, 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A2VM42Z5F.
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, A. Solomon, et al. (December 2021): Atmospheric Surface Flux Station #30 measurements (Level 1 Raw), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 - September 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A20C4SM1J.
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, A. Solomon, et al. (December 2021): Atmospheric Surface Flux Station #50 measurements (Level 1 Raw), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 - September 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A2445HD46.
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, A. Solomon, et al. (December 2021): Atmospheric Surface Flux Station #40 measurements (Level 1 Raw), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 - September 2020. Dataset, https://doi.org/10.18739/A2CJ87M7G.
Calmer, R., G. de Boer, J. Hamilton, S. Borenstein, C. J. Cox, et al. (December 2021): HELiX Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Campaign, A1 level data. Arctic Data Center, Dataset, https://doi.org/10.18739/A2697000S.
Calmer, R., G. de Boer, J. Hamilton, D. Lawrence, S. Borenstein, et al. (December 2021): HELiX Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Campaign, B1 level data. Arctic Data Center, Dataset, https://doi.org/10.18739/A2GH9BB0Q.
Jozef, G., G. de Boer, J. Cassano, R. Calmer, J. Hamilton, et al. (December 2021): DataHawk2 Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign, A1 level.. Arctic Data Center, Dataset, https://doi.org/10.18739/A2R20RX6S.
Jozef, G., G. de Boer, J. Cassano, R. Calmer, J. Hamilton, et al. (December 2021): DataHawk2 Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign, B1 level. Arctic Data Center, Dataset, https://doi.org/10.18739/A2VQ2SB8S.
Jozef, G., G. de Boer, J. Cassano, R. Calmer, J. Hamilton, et al. (January 2022): DataHawk2 Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign, raw data. Arctic Data Center, Dataset, https://doi.org/10.18739/A29C6S24C.
Calmer, R., G. de Boer, J. Hamilton, D. Lawrence, C. J. Cox, et al. (January 2022): HELiX Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Campaign, A0 level data. Arctic Data Center, Dataset, https://doi.org/10.18739/A2G44HR8B.
Hamilton, J., G. de Boer, R. Calmer, D. Lawrence, B. Argrow, et al. (December 2021): HELiX Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign, multispectral imagery data. Arctic Data Center, Dataset, https://doi.org/10.18739/A2RV0D21Z.
Matrosov, S. Y., T. Uttal and M. D. Shupe (2022): Snowfall rate estimates using Ka-band radar measurements. ARM Mobile Facility (MOS) MOSAiC (Drifting Obs – Study of Arctic Climate). DOE/ARM, Dataset, https://doi.org/10.5439/1853942.
Bliss, A., J. Hutchings, P. Anderson, . . ., D. M. Costa, . . ., C. J. Cox, . . ., M. R. Gallagher, . . ., S. M. Morris, . . ., J. Osborn, . . ., P. O. G. Persson, . . ., M. D. Shupe, . . ., T. Uttal, et al. (December 2021): Raw files for sea ice drift tracks from the Distributed Network of autonomous buoys deployed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition 2019 - 2021. Arctic Data Center, Dataset, https://doi.org/10.18739/A2KD1QM54.
Bliss, A., J. Hutchings, P. Anderson, . . ., D. M. Costa, . . ., C. J. Cox, . . ., M. R. Gallagher, . . ., S. M. Morris, . . ., J. Osborn, . . ., P. O. G. Persson, . . ., M. D. Shupe, . . ., T. Uttal, et al. (December 2021): Sea ice drift tracks from the Distributed Network of autonomous buoys deployed during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition 2019 - 2021. Arctic Data Center, Dataset, https://doi.org/10.18739/A2Q52FD8S.
Calmer, R., G. de Boer, J. Hamilton, D. Lawrence, S. Borenstein, C. J. Cox, et al. (December 2021): HELiX Uncrewed Aircraft System data from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Campaign. Arctic Data Center, Dataset, https://doi.org/10.18739/A22J6857H.
de Boer, G., J. Hamilton, J. M. Intrieri and R. Calmer (March 2023): HELiX UAS data for SPLASH 2022. Zenodo, Dataset, https://doi.org/10.5281/zenodo.7701558.
Elston, J., D. L. Jackson, M. Stachura, G. de Boer, J. M. Intrieri and E. Dai (February 2023): BST/NOAA PSL Level 3 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature for SPLASH. Zenodo, Dataset, https://doi.org/10.5281/zenodo.7668270.
Elston, J., D. L. Jackson, M. Stachura, G. de Boer, J. M. Intrieri and E. Dai (February 2023): BST/NOAA PSL Level 2 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature for SPLASH. Zenodo, Dataset
Bjarke, N., J. J. Barsugli and B. Livneh (June 2023): Ensemble of CMIP6 derived reference and potential evapotranspiration with radiative and advective components. Dataset, https://doi.org/10.1038/s41597-023-02290-0.
Thompson, E. J., H. Chen, J. Yang and J. L. Bytheway (May 2023): High-resolution Precipitation and Wind Measurements from Passive Aquatic Listeners (PALs). NASA Global Hydrometeorology Resource Center DAAC, Huntsville, Alabama, U.S.A, Dataset, https://doi.org/10.5067/GPMGV/PAL/DATA101.
Cox, C. J., J. M. Intrieri, B. J. Butterworth, G. de Boer, M. R. Gallagher, J. Hamilton, E. Hulm, S. Morris, J. Osborn, B. Schmatz and M. D. Shupe (December 2023): Atmospheric Surface Flux Station #50 measurements (level 1 Raw), Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), October 2021-June 2023. Zenodo, Dataset, https://doi.org/10.5281/zenodo.10310521.
Cox, C. J., J. M. Intrieri, B. J. Butterworth, G. de Boer, M. R. Gallagher, J. Hamilton, E. Hulm, S. Morris, J. Osborn, B. Schmatz and M. D. Shupe (December 2023): Atmospheric Surface Flux Station #30 measurements (level 1 Raw), Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), September 2021-July 2023. Zenodo, Dataset, https://doi.org/10.5281/zenodo.10307826.
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, B. W. Blomquist, A. A. Grachev, L. Riihimaki, M. Kutchenreiter, V. Morris, A. Solomon, I. Brooks, D. M. Costa, D. J. Gottas, J. Hutchings, J. Osborn, S. Morris, A. Preusser and T. Uttal (April 2023): Met City meteorological and surface flux measurements (Level 2 Processed), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 - September 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A2TM7227K .
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, A. Grachev, A. Solomon, T. E. Ayers, D. M. Costa, J. Hutchings, J. L. Leach, S. Morris, J. Osborn, S. Pezoa and T. Uttal (April 2023): Atmospheric Surface Flux Station #30 measurements (Level 2, processed), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 – September 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A2K649V1f.
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, A. Grachev, A. Solomon, T. E. Ayers, D. M. Costa, J. Hutchings, J. L. Leach, S. Morris, J. Osborn, S. Pezoa and T. Uttal (April 2023): Atmospheric Surface Flux Station #40 measurements (Level 2, processed), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 – September 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A29P2W74F .
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, A. Grachev, A. Solomon, T. E. Ayers, D. M. Costa, J. Hutchings, J. L. Leach, S. Morris, J. Osborn, S. Pezoa and T. Uttal (April 2023): Atmospheric Surface Flux Station #50 measurements (Level 2, processed), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 – September 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A2251FM5R.
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, B. W. Blomquist, A. Grachev, L. Riihimaki, M. Kutchenreiter, V. Morris, A. Solomon, I. Brooks, D. M. Costa, D. J. Gottas, J. K. Hutchings, J. Osborn, S. Morris, A. Preusser and T. Uttal (April 2023): Met City meteorological and surface flux measurements (Level 3, final), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 – September 2020.. Dataset, https://doi.org/10.18739/A2PV6B83F.
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, A. Grachev, A. Solomon, T. E. Ayers, D. M. Costa, J. K. Hutchings, J. L. Leach, S. Morris, J. Osborn, S. Pezoa and T. Uttal (April 2023): Atmospheric Surface Flux Station #30 measurements (Level 3, final), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 – September 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A2FF3M18K.
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, A. Grachev, A. Solomon, T. E. Ayers, D. M. Costa, J. Hutchings, J. L. Leach, S. Morris, J. Osborn, S. Pezoa and T. Uttal (April 2023): Atmospheric Surface Flux Station #40 measurements (Level 3, final), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 – September 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A25X25F0P.
Cox, C. J., M. R. Gallagher, M. D. Shupe, P. O. G. Persson, A. Grachev, A. Solomon, T. E. Ayers, D. M. Costa, J. K. Hutchings, J. L. Leach, S. Morris, J. Osborn, S. Pezoa and T. Uttal (April 2023): Atmospheric Surface Flux Station #50 measurements (Level 3, final), Multidisciplinary Drifting Observatory for the Study of Arctic Climate (MOSAiC), central Arctic, October 2019 – September 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A2XD0R00S.
Lanconelli, C., . .., C. J. Cox, et al. (2023): Baseline surface radiation data snapshot 2023-03-31. PANGAEA, Dataset, https://doi.org/10.1594/PANGAEA.957398.
Maahn, M., C. J. Cox, M. R. Gallagher, J. Hutchings, M. D. Shupe and T. Uttal (2023): Video In Situ Snowfall Sensor (VISSS) data from MOSAiC expedition with POLARSTERN (2019-2020). PANGAEA, Dataset, https://doi.org/10.1594/PANGAEA.960391 .
Oehri, J., . .., N.B Miller, . .., C. J. Cox, . .., G. de Boer, et al. (2022): Harmonized in-situ observations of surface energy fluxes and environmental drivers at 64 Arctic vegetation and glacier sites. PANGEA, Dataset, https://doi.org/10.1594/PANGAEA.949792 .
Pirazzini, R., H. Henna-Reeta, M. D. Shupe, T. Uttal, C. J. Cox, D. M. Costa, P. O. G. Persson and Z. Brasseur (2022): Upward and downward broadband shortwave and longwave irradiance and downward diffuse and direct solar partitioning during the MOSAiC expedition. PANGEA, Dataset, https://doi.org/10.1594/PANGAEA.952359.
de Boer, G., J. Hamilton, R. Calmer, M. Rhodes, B. J. Butterworth, et al. (December 2023): TRACER UAS CU RAAVEN Flight Data (v1.0). ARM Data Center, Dataset, https://doi.org/10.5439/1985470.
Jozef, G., ..., G. de Boer, S. Dahlke and C. J. Cox (December 2023): Lower atmospheric properties relating to temperature, wind, stability, moisture, and surface radiation budget over the central Arctic sea ice during MOSAiC. PANGAEA, Dataset, https://doi.org/10.1594/PANGAEA.957760.
Elston, J., D. L. Jackson, M. Stachura, G. de Boer, J. M. Intrieri and E. Dai (February 2023): BST/NOAA PSL Level 3 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature for SPLASH (1.1). Zenodo, Dataset, https://doi.org/10.5281/zenodo.7668270.
Elston, J., D. L. Jackson, M. Stachura, G. de Boer, J. M. Intrieri and E. Dai (February 2023): BST/NOAA PSL Level 2 UAS Soil Moisture, Digital Elevation, Normalized Difference Vegetative Index, and Surface Temperature for SPLASH (v1.0). Dataset, https://doi.org/10.5281/zenodo.7622355.
Sledd, A., M. D. Shupe, A. Solomon, C. J. Cox, D. Perovich and R. Lei (December 2023): Winter snow and sea ice thermal conductivity, density, and conductive heat flux profiles from the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, central Arctic, October 2019 - March 2020. Arctic Data Center, Dataset, https://doi.org/10.18739/A2CF9J80P.
Rabe, B., C. J. Cox, . .., P. O. G. Persson, . .., A. Solomon, et al. (December 2023): Collection of data sets from autonomous platforms deployed during MOSAiC in 2019/2020. PANGAEA, Dataset, https://doi.org/10.1594/PANGAEA.942815.
Dahlke, S., M. D. Shupe, C. J. Cox, I.M. Brooks, B. W. Blomquist and P. O. G. Persson (December 2023): Extended radiosonde profiles 2019/09-2020/10 during MOSAiC Legs PS122/1 - PS122/5. PANGAEA, Dataset, https://doi.org/10.1594/PANGAEA.961881.
Cox, C. J., M. R. Gallagher, J. M. Intrieri, B. J. Butterworth, T. Meyers and P. O. G. Persson (December 2023): Atmospheric Surface Flux Station #30 measurements (level 2 Processed), Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), October 2021-June 2023. Zenodo, Dataset, https://doi.org/10.5281/zenodo.10313895.
Cox, C. J., M. R. Gallagher, J. M. Intrieri, B. J. Butterworth, T. Meyers and P. O. G. Persson (December 2023): Atmospheric Surface Flux Station #50 measurements (level 2 Processed), Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), October 2021-June 2023. Zenodo, Dataset, https://doi.org/10.5281/zenodo.10313364.
Cox, C. J., M. R. Gallagher, J. M. Intrieri, M. D. Shupe and B. Schmatz (December 2023): Continuous snow temperature profiles from the Snow Ice Mass Balance Apparatus (SIMBA) (level 1 Raw), Study of Precipitation, the Lower Atmosphere and Surface for Hydrometeorology (SPLASH), November 2022-June 2023. Zenodo, Dataset, https://doi.org/10.5281/zenodo.10327410.
Intrieri, J. M., D. L. Jackson, G. de Boer, J. Longenecker, M. M. Stachura and W. R. Currier (November 2023): NOAA PSL Level 3 Soil Probe Soil Moisture and Surface Temperature Data for SPLASH (v1.0). Zenodo, Dataset, https://doi.org/10.5281/zenodo.10080898.
Barrientos-Velasco, C., C. J. Cox, B. J. Dodson, A. Hünerbein, M. D. Shupe, P. C. Taylor, H. Deneke and A. Macke (June 2024): 1D broadband radiative transfer model simulations for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition. Zenodo, Dataset, https://doi.org/10.5281/zenodo.12514678.
Clemens-Sewall, D., C. J. Cox, K. Schulz and I. Raphael (September 2024): Merged Datasets for the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Central Observatory in the Arctic Ocean (2019-2020). Arctic Data Cente, Dataset, https://doi.org/10.18739/A2GX44W6J.