Annual Publication Lists
2022 Publications
Markovian statistical model of cloud optical thickness. Part I: Theory and examples. J. Atmos. Sci., 79, no. 12, 3315-3332, doi:10.1175/JAS-D-22-0125.1.
, A. Marshak, , and , 2022:Antwerpen, R., Assessing bare ice albedo simulated by MAR over the Greenland ice sheet (2000-2021) and implications for meltwater production estimates. The Cryosphere, 16, no. 10, 4185-4199, doi:10.5194/tc-16-4185-2022.
, X. Fettweis, , and W.J. van de Berg, 2022:The surface longwave cloud radiative effect derived from space lidar observations. Atmos. Meas. Tech., 15, no. 12, 3893-3923, doi:10.5194/amt-15-3893-2022.
, H. Chepfer, T. Vaillant de Guélis, M. Chiriaco, M.D. Shupe, R. Guzman, A. Feofilov, P. Raberanto, T.S. L'Ecuyer, S. Kato, and M.R. Gallagher, 2022:Bah, A.R., H. Norouzi, S. Prakash, R. Blake, R. Khanbilvardi, and Spatial downscaling of GOES-R land surface temperature over urban regions: A case study for New York City. MDPI Atmos., 13, 332, doi:10.3390/atmos13020332.
, 2022:Banerjee, A., L.Y. Yeung, L.T. Murray, X. Tie, J.E. Tierney, and Clumped-isotope constraint on upper-tropospheric cooling during the Last Glacial Maximum. AGU Adv., 3, no. 4, e2022AV000688, doi:10.1029/2022AV000688.
, 2022:The turning point of the aerosol era. J. Adv. Model. Earth Syst., 14, no. 12, e2022MS003070, doi:10.1029/2022MS003070.
, , , , , , and , 2022:Bennington, V., Observation-based variability in the global ocean carbon sink from 1959-2020. Geophys. Res. Lett., 49, no. 14, e2022GL098632, doi:10.1029/2022GL098632.
, and G.A. McKinley, 2022:Bergas-Massó, E., M. Gonçalves-Ageitos, S. Myriokefalitakis, How does the use of different soil mineralogical atlases impact soluble iron deposition estimates? In Air Pollution Modeling and its Application XXVIII. C. Mensink and O. Jorba, Eds., Springer Proceedings in Complexity, Springer International, pp. 249-254, doi:10.1007/978-3-031-12786-1_34.
, and C. Pérez García-Pando, 2022:Bo, Y., Global benefits of non-continuous flooding to reduce greenhouse gases and irrigation water use without rice yield penalty. Glob. Change Biol., 28, no. 11, 3636-3650, doi:10.1111/gcb.16132.
, Z. Yin, Y. Jiang, J. Xu, H. Liang, and F. Zhou, 2022:Boulet, C., and Line coupling and line mixing effects on calculated widths of symmetric-top molecules with the k-degeneracy: A theoretical study of N2-, O2-, and air-broadened lines of CH3I. J. Quant. Spectrosc. Radiat. Transfer, 288, 108273, doi:10.1016/j.jqsrt.2022.108273.
, 2022:Bowman, H., S. Turnock, Changes of anthropogenic precursor emissions drive shifts of ozone seasonal cycle throughout northern midlatitude troposphere. Atmos. Chem. Phys., 22, no. 5, 3507-3524, doi:10.5194/acp-22-3507-2022.
, , M. Deushi, N. Oshima, F.M. O'Connor, L. Horowitz, T. Wu, J. Zhang, and D.D. Parrish, 2022:Box, J.E., A. Hubbard, D.B. Bahr, W.T. Colgan, X. Fettweis, Greenland ice sheet climate disequilibrium and committed sea-level rise. Nat. Clim. Change, 12, no. 9, 808-813, doi:10.1038/s41558-022-01441-2.
, A. Wehrlé, B. Noël, M.R. van den Broeke, B. Wouters, A.A. Bjørk, and R.S. Fausto, 2022:Brennan, M.M., S. Whitmee, Sea level rise and city-level climate action. Eur. J. Environ. Public Health, 6, no. 2, em0111, doi:10.21601/ejeph/12046.
, N. Meinsma, and R. Green, 2022:Brown, F., G.A. Folberth, S. Sitch, The ozone-climate penalty over South America and Africa by 2100. Atmos. Chem. Phys., 22, no. 18, 12331-12352, doi:10.5194/acp-22-12331-2022.
, M. Bauters, P. Boeckx, A.W. Cheesman, M. Deushi, I. Dos Santos Vieira, C. Galy-Lacaux, J. Haywood, J. Keeble, L.M. Mercado, F.M. O'Connor, N. Oshima, , and H. Verbeeck, 2022:Bühler, J.C., J.M. Axelsson, F.A. Lechleitner, J. Fohlmeister, Investigating oxygen and carbon isotopic relationships in speleothem records over the last millennium using multiple isotope-enabled climate models. Clim. Past, 18, no. 7, 1625-1654, doi:10.5194/cp-18-1625-2022.
, M. Midhun, J. Sjolte, M. Werner, K. Yoshimura, and K. Rehfeld, 2022:Cammarano, D., S. Jamshidi, G. Hoogenboom, Processing tomato production is expected to decrease due to the projected increase in temperature. Nat. Food, 3, no. 6, 437-444, doi:10.1038/s43016-022-00521-y.
, D. Niyogi, and D. Ronga, 2022:Unique observational constraints on the seasonal and longitudinal variability of the Earth's planetary albedo and cloud distribution inferred from EPIC measurements. Front. Remote Sens., 2, 788525, doi:10.3389/frsen.2021.788525.
, , , A. Marshak, and W. Su, 2022:Carroll Steward, K., D. Bhattacharya, Secondary science teachers' implementation of a curricular intervention when teaching with global climate models. J. Geosci. Educ., 70, no. 4, 474-489, doi:10.1080/10899995.2021.1980706.
, and C.T. Forbes, 2022:Southern Ocean solar reflection biases in CMIP6 models linked to cloud phase and vertical structure representations. Geophys. Res. Lett., 49, no. 22, e2022GL099777, doi:10.1029/2022GL099777.
, T. Khadir, H. Chepfer, and M. Chiriaco, 2022:Chemke, R., L. Zanna, The future intensification of North Atlantic winter storms: The key role of dynamic ocean coupling. J. Climate, 35, no. 8, 2407-2421, doi:10.1175/JCLI-D-21-0407.1.
, L.T. Sentman, and L.M. Polvani, 2022:Responses of compound daytime and nighttime warm-dry and warm-humid events to individual anthropogenic forcings. Environ. Res. Lett., 17, no. 8, 084015, doi:10.1088/1748-9326/ac80ce.
, , , , , , and , 2022:Christie, D.A., E.K.H. Lee, H. Innes, P.A. Noti, B. Charnay, T.J. Fauchez, N.J. Mayne, R. Deitrick, F. Ding, J.J. Greco, M. Hammond, I. Malsky, A. Mandell, E. Rauscher, M.T. Roman, D.E. Sergeev, CAMEMBERT: A mini-Neptunes GCM intercomparison, protocol version 1.0.A CUISINES Model Intercomparison Project. Planet. Sci. J., 3, no. 11, 261, doi:10.3847/PSJ/ac9dfe.
, M.E. Steinrueck, M. Turbet, E.T. Wolf, M. Zamyatina, and L. Carone, 2022:Chrysafi, A., V. Virkki, M. Jalava, V. Sandström, J. Piipponen, M. Porkka, J.S. Lade, K. La Mere, L. Wang-Erlandsson, L. Scherer, S.L. Andersen, E. Bennett, A.K. Brauman, S.G. Cooper, A. De Palma, P. Döll, S.A. Downing, C.T. DuBois, I. Fetzer, E.A. Fulton, D. Gerten, H. Jaafar, Quantifying Earth system interactions for sustainable food production via expert elicitationion. Nat. Sustain., 5, no. 10, 830-842, doi:10.1038/s41893-022-00940-6.
, F. Jaramillo, M. Jung, H. Kahiluoto, L. Lassaletta, W.A. Mackay, D. Mason-D'Croz, M.M. Mekonnen, K.L. Nash, A.V. Pastor, N. Ramankutty, B. Ridoutt, S. Siebert, B.I. Simmons, A. Staal, Z. Sun, A. Tobian, A. Usubiaga-Liaño, R.J. Van der Ent, A. Van Soesbergen, P.H. Verburg, Y. Wada, S. Zipper, and M. Kummu, 2022:Cinner, J.E., I.R. Caldwell, L. Thiault, J. Ben, J.L. Blanchard, M. Coll, A. Diedrich, T.D. Eddy, J.D. Everett, C. Folberth, D. Gascuel, J. Guiet, G.G. Gurney, R.F. Heneghan, Potential impacts of climate change on agriculture and fisheries production in 72 tropical coastal communities. Nat. Commun., 13, no. 1, 3530, doi:10.1038/s41467-022-30991-4.
, N. Jiddawi, R. Lahari, J. Kuange, W. Liu, O. Maury, C. Müller, C. Novaglio, J. Palacios-Abrantes, C.M. Petrik, A. Rabearisoa, D.P. Tittensor, A. Wamukota, and R. Pollnac, 2022:Large eddy simulation for investigating coupled canopy and turbulence influences on atmospheric chemistry: Model description and application to summer midday conditions at a temperate deciduous forest. J. Adv. Model. Earth Syst., 14, no. 10, e2022MS003078, doi:10.1029/2022MS003078.
, E.G. Patton, S. Wang, M. Barth, J. Orlando, and R.H. Schwantes, 2022:Colgan, W., A. Wansing, Greenland Geothermal Heat Flow Database and Map (Version 1). Earth Syst. Sci. Data, 14, no. 5, 2209-2238, doi:10.5194/essd-14-2209-2022.
, M. Lösing, J. Hopper, K. Louden, J. Ebbing, F.G. Christiansen, T. Ingeman-Nielsen, L.C. Liljedahl, J.A. MacGregor, Á. Hjartarson, S. Bernstein, N.B. Karlsson, S. Fuchs, J. Hartikainen, J. Liakka, R.S. Fausto, D. Dahl-Jensen, A. Bjørk, J.-O. Naslund, F. Mørk, Y. Martos, N. Balling, T. Funck, K.K. Kjeldsen, D. Petersen, U. Gregersen, G. Dam, T. Nielsen, S.A. Khan, and A. Løkkegaard, 2022:Colosio, P., Flood monitoring using enhanced resolution passive microwave data: A test case over Bangladesh. MDPI Remote Sens., 14, 1180, doi:10.3390/rs14051180.
, and E. Tellman, 2022:Connors, S., S. Berger, C. Péan, G. Bala, N. Caud, D. Chen, T. Edwards, S. Fuzzi, T.Y. Gan, M. Gomis, E. Hawkins, R. Jones, R. Kopp, K. Leitzell, E. Lonnoy, D. Maraun, V. Masson-Delmotte, T. Maycock, A. Pirani, R. Ranasinghe, J. Rogelj, Climate Change 2021: Summary for All. Intergovernmental Panel on Climate Change.
, S. Szopa, and P. Zhai, 2022:Connors, S., M. Dionne, G. Hanák, R. Musulin, N. Aellen, M. Amjad, S. Bowen, D.R. Carrascal, E. Coppola, E. Dal Moro, A. Dosio, S.H. Faria, T.Y. Gan, M. Gomis, J.M. Gutiérrez, P. Hope, R. Kopp, S. Krakovska, K. Leitzell, D. Maraun, V. Masson-Delmotte, R. Matthews, T. Maycock, S. Paddam, G.-K. Plattner, A. Pui, M. Rahimi, R. Ranasinghe, J. Rogelj, Climate Science: A Summary for Actuaries: What the IPCC Climate Change Report 2021 Means for the Actuarial Profession. International Actuarial Association.
, S. Szopa, A. Turner, R. Vautard, Y. Velichkova, A. Weigel, and X. Zhang, 2022:Megadroughts in the Common Era and the Anthropocene. Nat. Rev. Earth Environ., 3, no. 11, 741-757, doi:10.1038/s43017-022-00329-1.
, J.E Smerdon, E.R Cook, A.P. Williams, K.J Anchukaitis, J.S Mankin, K. Allen, L. Andreu-Hayles, T.R Ault, S. Belmecheri, S. Coats, B. Coulthard, B. Fosu, P. Grierson, D. Griffin, D.A Herrera, M. Ionita, F. Lehner, C. Leland, , M.S Morales, V. Mishra, J. Ngoma, H.T.T Nguyen, A. O'Donnell, J. Palmer, M.P Rao, M. Rodriguez-Caton, R. Seager, D.W Stahle, S. Stevenson, U.K Thapa, A.M Varuolo-Clarke, and E.K Wise, 2022:Projected changes in early summer ridging and drought over the Central Plains. Environ. Res. Lett., 17, 104020, doi:10.1088/1748-9326/ac8e1a.
, A.P. Williams, and , 2022:Cooper, V., Wind waves in sea ice of the western Arctic and a global coupled wave-ice model. Phil. Trans. Roy. Soc. A, 380, no. 2235, 20210258, doi:10.1098/rsta.2021.0258.
, J. Thomson, S. Brenner, M. Smith, M. Meylan, and C. Bitz, 2022:Da Silva, K.A., R.A. Snyder, M.S. Packalen, J.W. McLaughlin, Mineral inputs, paleoecological change, and Holocene carbon accumulation at a boreal peatland in the Hudson Bay Lowlands, Canada. Palaeogeogr. Palaeoclimatol. Palaeoecol., 596, 110996, doi:10.1016/j.palaeo.2022.110996.
, and S.A. Finkelstein, 2022:Volcanic stratospheric injections up to 160 Tg(S) yield a Eurasian winter warming indistinguishable from internal variability. Atmos. Chem. Phys., 22, no. 13, 8843-8862, doi:10.5194/acp-22-8843-2022.
, and L.M. Polvani, 2022:Davis, C.C., G.M. Lyra, D.S. Park, R. Asprino, R. Maruyama, D. Torquato, New directions in tropical phenology. Trends Ecol. Evol., 37, no. 8, 683-693, doi:10.1016/j.tree.2022.05.001.
, and A.M. Ellison, 2022:De Sherbinin, A., K. Grace, S. McDermid, K. Van Der Geest, Migration theory in climate mobility research. Front. Clim., 4, 882343, doi:10.3389/fclim.2022.882343.
, and A. Bell, 2022:Improved representation of atmospheric dynamics in CMIP6 models removes climate sensitivity dependence on Hadley Cell climatological extent. Atmos. Sci. Lett., 23, no. 3, e1073, doi:10.1002/asl.1073.
, , and L. Polvani, 2022:Convection as a regulator of the Earth's climate. In Studies of Cloud, Convection and Precipitation Processes Using Satellite Observations. Z.J. Luo, G. Tselioudis, and W.B. Rossow, Eds., Lectures in Climate Change, vol. 3, World Scientific, pp. 3-19, doi:10.1142/9789811256912_0001.
, 2022:Di Tomaso, E., J. Escribano, S. Basart, P. Ginoux, F. Macchia, F. Barnaba, F. Benincasa, P.-A. Bretonnière, A. Buñuel, M. Castrillo, E. Cuevas, P. Formenti, M. Gonçalves, O. Jorba, M. Klose, L. Mona, G. Montané Pinto, M. Mytilinaios, The MONARCH high-resolution reanalysis of desert dust aerosol over Northern Africa, the Middle East and Europe (2007-2016). Earth Syst. Sci. Data, 14, no. 6, 2785-2816, doi:10.5194/essd-14-2785-2022.
, M. Olid, N. Schutgens, A. Votsis, E. Werner, and C. Pérez García-Pando, 2022:Di Tomaso, E., J. Escribano, S. Basart, P. Ginoux, F. Macchia, F. Barnaba, F. Benincasa, P.-A. Bretonnière, A. Buñuel, M. Castrillo, E. Cuevas, P. Formenti, M. Gonçalves-Ageitos, O. Jorba, M. Klose, L. Mona, G. Montané, M. Mytilinaios, MONARCH regional reanalysis of desert dust aerosols: An initial assessment. In Air Pollution Modeling and its Application XXVIII. C. Mensink and O. Jorba, Eds., Springer Proceedings in Complexity, Springer International, pp. 241-247, doi:10.1007/978-3-031-12786-1_33.
, M. Olid, N. Schutgens, A. Votsis, E. Werner, and C. Pérez García-Pando, 2022:Diamond, M.S., P.E. Saide, P. Zuidema, Cloud adjustments from large-scale smoke-circulation interactions strongly modulate the southeast Atlantic stratocumulus-to-cumulus transition. Atmos. Chem. Phys., 22, no. 18, 12113-12151, doi:10.5194/acp-22-12113-2022.
, S.J. Doherty, , H. Gordon, C. Howes, J. Kazil, T. Yamaguchi, J. Zhang, G. Feingold, and R. Wood, 2022:Dueri, S., H. Brown, S. Asseng, F. Ewert, H. Webber, M. George, R. Craigie, Simulation of winter wheat response to variable sowing dates and densities in a high-yielding environment. J. Exp. Bot., 73, no. 16, 5715-5729, doi:10.1093/jxb/erac221.
, D.N.L. Pequeno, T. Stella, M. Ahmed, P.D. Alderman, B. Basso, A.G. Berger, G.B. Mujica, D. Cammarano, Y. Chen, B. Dumont, E.E. Rezaei, E. Fereres, R. Ferrise, T. Gaiser, Y. Gao, M. Garcia-Vila, S. Gayler, Z. Hochman, G. Hoogenboom, K.C. Kersebaum, C. Nendel, J.E. Olesen, G. Padovan, T. Palosuo, E. Priesack, J.W.M. Pullens, A. Rodríguez, R.P Rötter, M.R. Ramos, M.A. Semenov, N. Senapati, S. Siebert, A.K. Srivastava, C. Stöckle, I. Supit, F. Tao, P. Thorburn, E. Wang, T.K.D. Weber, L. Xiao, C. Zhao, J. Zhao, Z. Zhao, Y. Zhu, and P. Martre, 2022:Ebtehaj, A., M. Durand, and Constrained inversion of a microwave snowpack emission model using dictionary matching: Applications for GPM satellite. IEEE Trans. Geosci. Remote Sens., 60, 4302114, doi:10.1109/TGRS.2021.3115663.
, 2022:A simple model for tropical convective cloud shield area growth and decay rates informed by geostationary IR, GPM, and Aqua/AIRS satellite data. J. Geophys. Res. Atmos., 127, no. 10, e2021JD035599, doi:10.1029/2021JD035599.
, R. Roca, T. Fiolleau, , and , 2022:ATeX: A benchmark for image classification of water in different waterbodies using deep learning approaches. J. Water Resour. Plan. Manag., 148, no. 11, 04022063, doi:10.1061/(ASCE)WR.1943-5452.0001615.
, and E. Goharian, 2022:ATLANTIS: A benchmark for semantic segmentation of waterbody images. Environ. Model. Softw., 149, 105333, doi:10.1016/j.envsoft.2022.105333.
, Z. Wu, X. Wu, S. Wang, and E. Goharian, 2022:Espinosa, Z.I., A. Sheshadri, G.R. Cain, E.P. Gerber, and Machine learning gravity wave parameterization generalizes to capture the QBO and response to increased CO2. Geophys. Res. Lett., 49, no. 8, e2022GL098174, doi:10.1029/2022GL098174.
, 2022:Fan, Y., X. Wang, T. Funk, I. Rashid, B. Herman, N. Bompoti, M.S. Mahmud, M. Chrysochoou, A critical review for real-time continuous soil monitoring: Advantages, challenges, and perspectives. Environ. Sci. Technol., 56, no. 19, 13546-13564, doi:10.1021/acs.est.2c03562.
, T.M. Vadas, Y. Lei, and B. Li, 2022:Fauchez, T.J., G.L. Villanueva, D.E. Sergeev, M. Turbet, I.A. Boutle, The TRAPPIST-1 Habitable Atmosphere Intercomparison (THAI). Part III: Simulated observables — The return of the spectrum. Planet. Sci. J., 3, no. 9, 213, doi:10.3847/PSJ/ac6cf1.
, , E.T. Wolf, S.D. Domagal-Goldman, F. Forget, J. Haqq-Misra, R.K. Kopparapu, J. Manners, and N.J. Mayne, 2022:Tree-ring cellulose δ18O records similar large-scale climate influences as precipitation δ18O in the Northwest Territories of Canada. Clim. Dyn., 58, no. 3-4, 759-776, doi:10.1007/s00382-021-05932-4.
, L. Andreu-Hayles, R.D. D'Arrigo, R. Oelkers, B.H. Luckman, D. Morimoto, E. Boucher, F. Gennaretti, I. Hermoso, A. Lavergne, and M. Levesque, 2022:Franke, J.A., C. Müller, S. Minoli, J. Elliott, C. Folberth, C. Gardner, T. Hank, R.C. Izaurralde, Agricultural breadbaskets shift poleward given adaptive farmer behavior under climate change. Glob. Change Biol., 28, no. 1, 167-181, doi:10.1111/gcb.15868.
, C. Jones, W. Liu, S. Olin, T.A.M. Pugh, , H. Stephens, F. Zabel, and E. Moyer, 2022:Fu, D., L. Di Girolamo, R.M. Rauber, G.M. McFarquhar, S.W. Nesbitt, J. Loveridge, Y. Hong, B. van Diedenhoven, An evaluation of liquid cloud droplet effective radius derived from MODIS, airborne remote sensing and in situ measurements from CAMP2Ex. Atmos. Chem. Phys., 22, no. 12, 8259-8285, doi:10.5194/acp-22-8259-2022.
, , P. Lawson, S. Woods, S. Tanelli, O.O. Sy, S. Schmidt, C.A. Hostetler, and A.J. Scarino, 2022:Funk, C.C., P. Peterson, G.J. Huffman, M.F. Landsfeld, C. Peters-Lidard, F. Davenport, S. Shukla, S. Peterson, D.H. Pedreros, Introducing and evaluating the Climate Hazards center IMErg with Stations (CHIMES) — Timely station-enhanced Integrated Multi-satellitE Retrievals for Global Precipitation Measurement. Bull. Amer. Meteorol. Soc., 103, no. 2, E429-E454, doi:10.1175/BAMS-D-20-0245.1.
, , W. Turner, L. Harrison, A. Sonnier, J. Way-Henthorne, and Husak Gregory J., 2022:Gao, M., K. Knobelspiesse, B. Franz, P.-W. Zhai, A. Sayer, A. Ibrahim, Effective uncertainty quantification for multi-angle polarimetric aerosol remote sensing over ocean, Part 1: Performance evaluation and speed improvement. Atmos. Meas. Tech., 15, no. 16, 4859-4879, doi:10.5194/amt-15-4859-2022.
, O. Hasekamp, Y. Hu, V. Martins, J. Werdell, and X. Xu, 2022:Gasperini, L., Late Glacial and Holocene environmental variability, Lago Trasimeno, Italy. Quat. Int., 622, 21-35, doi:10.1016/j.quaint.2021.10.011.
, E. Bonatti, E. Gambini, A. Polonia, J. Nichols, and L. Heusser, 2022:Gillmann, C., The long-term evolution of the atmosphere of Venus: Processes and feedback mechanisms. Space Sci. Rev., 218, 56, doi:10.1007/s11214-022-00924-0.
, G. Avice, D. Breuer, G.J. Golabek, D. Honing, J. Krissansen-Totton, H. Lammer, A.-C. Plesa, M. Persson, J.G. O'Rourke, A. Salvador, M. Scherf, and M.Y. Zolotov, 2022:Water vapor adsorption provides daily, sustainable water to soils of the hyperarid Atacama Desert. Astrobiology, 22, no. 10, 1222-1238, doi:10.1089/ast.2021.0171.
, H.E. Hartnett, D.R. Finn, S. Perez-Montaño, H. Cadillo-Quiroz, and S. Desch, 2022:Grillakis, M., A. Voulgarakis, A. Rovithakis, K.D. Seiradakis, A. Koutroulis, Climate drivers of global wildfire burned area. Environ. Res. Lett., 17, no. 4, 045021, doi:10.1088/1748-9326/ac5fa1.
, M. Kasoar, A. Papadopoulos, and M. Lazaridis, 2022:Improving wheat production and breeding strategies using crop models. In Wheat Improvement: Food Security in a Changing Climate. M.P. Reynolds and H.-J. Braun, Eds., Springer, pp. 573-591, doi:10.1007/978-3-030-90673-3_31.
, and S. Asseng, 2022:Evidence for increasing global wheat yield potential. Environ. Res. Lett., 17, no. 12, 124045, doi:10.1088/1748-9326/aca77c.
, P. Martre, F. Ewert, H. Webber, S. Dueri, D. Calderini, M. Reynolds, G. Molero, D. Miralles, G. Garcia, G. Slafer, F. Giunta, D. Noleto Luz Pequeno, T. Stella, M. Ahmed, P.D. Alderman, B. Basso, A.G. Berger, M. Bindi, G. Bracho Mujica, D. Cammarano, Y. Chen, B. Dumont, E. Eyshi Rezaei, E. Fereres, R. Ferrise, T. Gaiser, Y. Gao, M. Garcia-Vila, S. Gayler, Z. Hochman, G. Hoogenboom, L.A. Hunt, C. Kersebaum, C. Nendel, J. Olesen, T. Palosuo, E. Priesack, J. Pullens, A. Rodriguez, R.P. Rötter, M. Ruiz-Ramos, M.A. Semenov, N. Senapati, S. Siebert, A.K. Srivastava, C.O. Stöckle, I. Supit, F. Tao, P.J. Thorburn, E. Wang, T.K.D. Weber, L. Xiao, Z. Zhang, C. Zhao, J. Zhao, Z. Zhao, Y. Zhu, and S. Asseng, 2022:Improved forest dynamics leads to better hydrological predictions in watershed modeling. Sci. Total Environ., 821, 153180, doi:10.1016/j.scitotenv.2022.153180.
, L. Kalin, and P. Srivastava, 2022:Improving the representation of forests in hydrological models. Sci. Total Environ., 812, 151425, doi:10.1016/j.scitotenv.2021.151425.
, N.G.F. Reaver, R. Karki, L. Kalin, P. Srivastava, D.A. Kaplan, and C. Gonzalez-Benecke, 2022:Hannah, W.M., K.G. Pressel, M. Ovchinnikov, and Checkerboard patterns in E3SMv2 and E3SM-MMFv2. Geosci. Model Dev., 15, no. 15, 6243-6257, doi:10.5194/gmd-15-6243-2022.
, 2022:Hasholt, B., T.F. Nielsen, Sediment concentrations and transport in icebergs, Scoresby Sound, East Greenland. Hydrol. Process., 36, no. 10, e14668, doi:10.1002/hyp.14668.
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