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1

Lellouch, Emmanuel. "Io’s Atmosphere and Surface-Atmosphere Interactions." Space Science Reviews 116, no. 1-2 (2005): 211–24. http://dx.doi.org/10.1007/s11214-005-1957-z.

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2

Wood, Eric F. "Land surface-atmosphere interactions for climate modeling." Surveys in Geophysics 12, no. 1-3 (1991): 315. http://dx.doi.org/10.1007/bf01903423.

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3

Leslie, Lance M., Milton S. Speer, and Lixin Qi. "Editorial: Special issue on atmosphere-surface interactions." Meteorology and Atmospheric Physics 80, no. 1-4 (2002): V. http://dx.doi.org/10.1007/s007030200010.

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4

Drewry, D. J., V. M. Kotlyakov, A. Ushakov, and A. Glazovsky. "Glaciers-Ocean-Atmosphere Interactions." Geographical Journal 159, no. 3 (1993): 344. http://dx.doi.org/10.2307/3451295.

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5

Liu, Shaofeng, Yaping Shao, Angela Kunoth, and Clemens Simmer. "Impact of surface-heterogeneity on atmosphere and land-surface interactions." Environmental Modelling & Software 88 (February 2017): 35–47. http://dx.doi.org/10.1016/j.envsoft.2016.11.006.

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6

Johnson, N. M., and B. Fegley. "Experimental studies of atmosphere-surface interactions on Venus." Advances in Space Research 29, no. 2 (2002): 233–41. http://dx.doi.org/10.1016/s0273-1177(01)00573-7.

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7

Santanello, Joseph A., Paul A. Dirmeyer, Craig R. Ferguson, et al. "Land–Atmosphere Interactions: The LoCo Perspective." Bulletin of the American Meteorological Society 99, no. 6 (2018): 1253–72. http://dx.doi.org/10.1175/bams-d-17-0001.1.

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AbstractLand–atmosphere (L-A) interactions are a main driver of Earth’s surface water and energy budgets; as such, they modulate near-surface climate, including clouds and precipitation, and can influence the persistence of extremes such as drought. Despite their importance, the representation of L-A interactions in weather and climate models remains poorly constrained, as they involve a complex set of processes that are difficult to observe in nature. In addition, a complete understanding of L-A processes requires interdisciplinary expertise and approaches that transcend traditional research
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8

Liang, Xu, and Zhenghui Xie. "Important factors in land–atmosphere interactions: surface runoff generations and interactions between surface and groundwater." Global and Planetary Change 38, no. 1-2 (2003): 101–14. http://dx.doi.org/10.1016/s0921-8181(03)00012-2.

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9

Gentine, Pierre, Adam Massmann, Benjamin R. Lintner, et al. "Land–atmosphere interactions in the tropics – a review." Hydrology and Earth System Sciences 23, no. 10 (2019): 4171–97. http://dx.doi.org/10.5194/hess-23-4171-2019.

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Abstract. The continental tropics play a leading role in the terrestrial energy, water, and carbon cycles. Land–atmosphere interactions are integral in the regulation of these fluxes across multiple spatial and temporal scales over tropical continents. We review here some of the important characteristics of tropical continental climates and how land–atmosphere interactions regulate them. Along with a wide range of climates, the tropics manifest a diverse array of land–atmosphere interactions. Broadly speaking, in tropical rainforest climates, light and energy are typically more limiting than p
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10

Lellouch, E., C. de Bergh, B. Sicardy, S. Ferron, and H. U. Käufl. "Detection of CO in Triton's atmosphere and the nature of surface-atmosphere interactions." Astronomy and Astrophysics 512 (March 2010): L8. http://dx.doi.org/10.1051/0004-6361/201014339.

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11

Potter, Brian E. "Atmospheric interactions with wildland fire behaviour - I. Basic surface interactions, vertical profiles and synoptic structures." International Journal of Wildland Fire 21, no. 7 (2012): 779. http://dx.doi.org/10.1071/wf11128.

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This paper is the first of two reviewing scientific literature from 100 years of research addressing interactions between the atmosphere and fire behaviour. These papers consider research on the interactions between the fuels burning at any instant and the atmosphere, and the interactions between the atmosphere and those fuels that will eventually burn in a given fire. This first paper reviews the progression from the surface atmospheric properties of temperature, humidity and wind to horizontal and vertical synoptic structures and ends with vertical atmospheric profiles. (The companion paper
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12

Shaw, Roger. "Observations of Surface to Atmosphere Interactions in the Tropics." Agricultural and Forest Meteorology 116, no. 3-4 (2003): 229–30. http://dx.doi.org/10.1016/s0168-1923(03)00003-0.

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13

Gordov, E. P., V. Yu Bogomolov, E. A. Dyukarev, I. G. Okladnikov, and S. V. Smirnov. "IMCES Geophysical Observatory for studies of surface-atmosphere interactions." IOP Conference Series: Earth and Environmental Science 386 (December 10, 2019): 012050. http://dx.doi.org/10.1088/1755-1315/386/1/012050.

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14

Winton, Michael. "Simple Optical Models for Diagnosing Surface–Atmosphere Shortwave Interactions." Journal of Climate 18, no. 18 (2005): 3796–805. http://dx.doi.org/10.1175/jcli3502.1.

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Abstract A technique is developed for diagnosing effective surface and atmospheric optical properties from climate model shortwave flux diagnostics. These properties can be used to distinguish the contributions of surface and atmospheric optical property changes to shortwave flux changes at the surface and top of the atmosphere. In addition to the four standard shortwave flux diagnostics (upward, downward, surface, and top of atmosphere), the technique makes use of surface-down and top-up fluxes over a zero-albedo surface obtained from an auxiliary online shortwave calculation. The simple mode
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15

Merchant, C. J. "Book Review: Ocean-atmosphere interactions." Holocene 14, no. 6 (2004): 953. http://dx.doi.org/10.1177/095968360401400619.

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16

Krakauer, Nir Y., Michael J. Puma, Benjamin I. Cook, Pierre Gentine, and Larissa Nazarenko. "Ocean–atmosphere interactions modulate irrigation's climate impacts." Earth System Dynamics 7, no. 4 (2016): 863–76. http://dx.doi.org/10.5194/esd-7-863-2016.

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Abstract. Numerous studies have focused on the local and regional climate effects of irrigated agriculture and other land cover and land use change (LCLUC) phenomena, but there are few studies on the role of ocean–atmosphere interaction in modulating irrigation climate impacts. Here, we compare simulations with and without interactive sea surface temperatures of the equilibrium effect on climate of contemporary (year 2000) irrigation geographic extent and intensity. We find that ocean–atmosphere interaction does impact the magnitude of global-mean and spatially varying climate impacts, greatly
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17

Dirmeyer, Paul A., Yan Jin, Bohar Singh, and Xiaoqin Yan. "Trends in Land–Atmosphere Interactions from CMIP5 Simulations." Journal of Hydrometeorology 14, no. 3 (2013): 829–49. http://dx.doi.org/10.1175/jhm-d-12-0107.1.

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Abstract Data from 15 models of phase 5 of the Coupled Model Intercomparison Project (CMIP5) for preindustrial, historical, and future climate change experiments are examined for consensus changes in land surface variables, fluxes, and metrics relevant to land–atmosphere interactions. Consensus changes in soil moisture and latent heat fluxes for past-to-present and present-to-future periods are consistent with CMIP3 simulations, showing a general drying trend over land (less soil moisture, less evaporation) over most of the globe, with the notable exception of high northern latitudes during wi
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18

Berg, Alexis, Benjamin R. Lintner, Kirsten L. Findell, Sergey Malyshev, Paul C. Loikith, and Pierre Gentine. "Impact of Soil Moisture–Atmosphere Interactions on Surface Temperature Distribution." Journal of Climate 27, no. 21 (2014): 7976–93. http://dx.doi.org/10.1175/jcli-d-13-00591.1.

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Abstract Understanding how different physical processes can shape the probability distribution function (PDF) of surface temperature, in particular the tails of the distribution, is essential for the attribution and projection of future extreme temperature events. In this study, the contribution of soil moisture–atmosphere interactions to surface temperature PDFs is investigated. Soil moisture represents a key variable in the coupling of the land and atmosphere, since it controls the partitioning of available energy between sensible and latent heat flux at the surface. Consequently, soil moist
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19

Adushkin, V. V., and A. A. Spivak. "Near-surface geophysics: Complex investigations of the lithosphere-atmosphere interactions." Izvestiya, Physics of the Solid Earth 48, no. 3 (2012): 181–98. http://dx.doi.org/10.1134/s1069351312020012.

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20

Vesala, Timo, Leena Järvi, Samuli Launiainen, et al. "Surface–atmosphere interactions over complex urban terrain in Helsinki, Finland." Tellus B: Chemical and Physical Meteorology 60, no. 2 (2008): 188–99. http://dx.doi.org/10.1111/j.1600-0889.2007.00312.x.

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21

Sellers, Piers. "Modeling and observing land-surface-atmosphere interactions on large scales." Surveys in Geophysics 12, no. 1-3 (1991): 85–114. http://dx.doi.org/10.1007/bf01903413.

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22

Brown, Michael E., and David L. Arnold. "Land-surface–atmosphere interactions associated with deep convection in Illinois." International Journal of Climatology 18, no. 15 (1998): 1637–53. http://dx.doi.org/10.1002/(sici)1097-0088(199812)18:15<1637::aid-joc336>3.0.co;2-u.

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23

Briedé, J. W. "Hydrologic Interactions between Atmosphere, Soil and Vegetation." Journal of Arid Environments 23, no. 4 (1992): 455. http://dx.doi.org/10.1016/s0140-1963(18)30624-4.

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24

Kolaczek, B., J. Nastula, and D. Salstein. "El Nino-related variations in atmosphere–polar motion interactions." Journal of Geodynamics 36, no. 3 (2003): 397–406. http://dx.doi.org/10.1016/s0264-3707(03)00058-9.

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25

Davis, Kenneth J., Donald H. Lenschow, Steven P. Oncley, et al. "Role of entrainment in surface-atmosphere interactions over the boreal forest." Journal of Geophysical Research: Atmospheres 102, no. D24 (1997): 29219–30. http://dx.doi.org/10.1029/97jd02236.

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26

Raupach, M. R., and J. J. Finnigan. "The influence of topography on meteorogical variables and surface-atmosphere interactions." Journal of Hydrology 190, no. 3-4 (1997): 182–213. http://dx.doi.org/10.1016/s0022-1694(96)03127-7.

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27

Ramírez, Jorge A., and Sharika U. S. Senarath. "A Statistical–Dynamical Parameterization of Interception and Land Surface–Atmosphere Interactions." Journal of Climate 13, no. 22 (2000): 4050–63. http://dx.doi.org/10.1175/1520-0442(2000)013<4050:asdpoi>2.0.co;2.

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28

Eley, Emily N., Bulusu Subrahmanyam, and Corinne B. Trott. "Ocean–Atmosphere Interactions during Hurricanes Marco and Laura (2020)." Remote Sensing 13, no. 10 (2021): 1932. http://dx.doi.org/10.3390/rs13101932.

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During August of the 2020 Atlantic Hurricane Season, the Gulf of Mexico (GoM) was affected by two subsequent storms, Hurricanes Marco and Laura. Hurricane Marco entered the GoM first (22 August) and was briefly promoted to a Category 1 storm. Hurricane Laura followed Marco closely (25 August) and attained Category 4 status after a period of rapid intensification. Typically, hurricanes do not form this close together; this study aims to explain the existence of both hurricanes through the analysis of air-sea fluxes, local thermodynamics, and upper-level circulation. The GoM and its quality of w
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29

Ganbat, Danaa, and Gantuya Ganbat. "Results of simulations of atmosphere-lake interactions using numerical model." Embedded Selforganising Systems 9, no. 3 (2022): 37–38. http://dx.doi.org/10.14464/ess.v9i3.535.

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Lakes influence the regional atmosphere through modifying thermodynamic characteristics. This study examines the effects of the Baikal lake on meteorological parameters in summertime using the numerical model. Diurnal variations in the lakes’ impact on the atmosphere are found through changing the surface energy budget, which includes changes in sensible and latent heat fluxes. The changes in heat fluxes cause relatively lower surface temperature which leads to a shallow boundary layer over the lake surfaces. Greater heat capacity in water bodies compared to grasslands causes slower heating an
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30

Dirmeyer, Paul A., Yan Jin, Bohar Singh, and Xiaoqin Yan. "Evolving Land–Atmosphere Interactions over North America from CMIP5 Simulations." Journal of Climate 26, no. 19 (2013): 7313–27. http://dx.doi.org/10.1175/jcli-d-12-00454.1.

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Abstract Long-term changes in land–atmosphere interactions during spring and summer are examined over North America. A suite of models from phase 5 of the Coupled Model Intercomparison Project simulating preindustrial, historical, and severe future climate change scenarios are examined for changes in soil moisture, surface fluxes, atmospheric boundary layer characteristics, and metrics of land–atmosphere coupling. Simulations of changes from preindustrial to modern conditions show warming brings stronger surface fluxes at high latitudes, while subtropical regions of North America respond with
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31

Wong, Mau C., Tim Cassidy, and Robert E. Johnson. "The composition of Europa's near-surface atmosphere." Proceedings of the International Astronomical Union 4, S251 (2008): 327–28. http://dx.doi.org/10.1017/s1743921308021856.

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AbstractThe presence of an undersurface ocean renders Europa as one of the few planetary bodies in our Solar System that has been conjectured to have possibly harbored life. Some of the organic and inorganic species present in the ocean underneath are expected to transport upwards through the relatively thin ice crust and manifest themselves as impurities of the water ice surface. For this reason, together with its unique dynamic atmosphere and geological features, Europa has attracted strong scientific interests in past decades.Europa is imbedded inside the Jovian magnetosphere, and, therefor
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32

Otterman, J., K. St�enz, K. I. Itten, and G. Kukla. "Dependence of snow melting and surface-atmosphere interactions on the forest structure." Boundary-Layer Meteorology 45, no. 1-2 (1988): 1–8. http://dx.doi.org/10.1007/bf00120812.

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33

Fischer, E. M., S. I. Seneviratne, P. L. Vidale, D. Lüthi, and C. Schär. "Soil Moisture–Atmosphere Interactions during the 2003 European Summer Heat Wave." Journal of Climate 20, no. 20 (2007): 5081–99. http://dx.doi.org/10.1175/jcli4288.1.

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Abstract The role of land surface–related processes and feedbacks during the record-breaking 2003 European summer heat wave is explored with a regional climate model. All simulations are driven by lateral boundary conditions and sea surface temperatures from the ECMWF operational analysis and 40-yr ECMWF Re-Analysis (ERA-40), thereby prescribing the large-scale circulation. In particular, the contribution of soil moisture anomalies and their interactions with the atmosphere through latent and sensible heat fluxes is investigated. Sensitivity experiments are performed by perturbing spring soil
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34

Santanello, Joseph A., Mark A. Friedl, and Michael B. Ek. "Convective Planetary Boundary Layer Interactions with the Land Surface at Diurnal Time Scales: Diagnostics and Feedbacks." Journal of Hydrometeorology 8, no. 5 (2007): 1082–97. http://dx.doi.org/10.1175/jhm614.1.

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Abstract The convective planetary boundary layer (PBL) integrates surface fluxes and conditions over regional and diurnal scales. As a result, the structure and evolution of the PBL contains information directly related to land surface states. To examine the nature and magnitude of land–atmosphere coupling and the interactions and feedbacks controlling PBL development, the authors used a large sample of radiosonde observations collected at the southern Atmospheric Research Measurement Program–Great Plains Cloud and Radiation Testbed (ARM-CART) site in association with simulations of mixed-laye
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35

Liston, Glen E., and Christopher A. Hiemstra. "Representing Grass– and Shrub–Snow–Atmosphere Interactions in Climate System Models." Journal of Climate 24, no. 8 (2011): 2061–79. http://dx.doi.org/10.1175/2010jcli4028.1.

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Abstract A vegetation-protruding-above-snow parameterization for earth system models was developed to improve energy budget calculations of interactions among vegetation, snow, and the atmosphere in nonforested areas. These areas include shrublands, grasslands, and croplands, which represent 68% of the seasonally snow-covered Northern Hemisphere land surface (excluding Greenland). Snow depth observations throughout nonforested areas suggest that mid- to late-winter snowpack depths are often comparable or lower than the vegetation heights. As a consequence, vegetation protruding above the snow
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36

Potter, Brian E. "Atmospheric interactions with wildland fire behaviour - II. Plume and vortex dynamics." International Journal of Wildland Fire 21, no. 7 (2012): 802. http://dx.doi.org/10.1071/wf11129.

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This paper is the second of two reviewing scientific literature from 100 years of research addressing interactions between the atmosphere and fire behaviour. These papers consider research on the interactions between the fuels burning at any instant and the atmosphere, and the interactions between the atmosphere and those fuels that will eventually burn in a given fire. The first paper reviews the progression from the surface atmospheric properties of temperature, humidity and wind to horizontal and vertical synoptic structures and ends with vertical atmospheric profiles. This second paper add
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37

Jansen, Malte F., Dietmar Dommenget, and Noel Keenlyside. "Tropical Atmosphere–Ocean Interactions in a Conceptual Framework." Journal of Climate 22, no. 3 (2009): 550–67. http://dx.doi.org/10.1175/2008jcli2243.1.

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Abstract Statistical analysis of observations (including atmospheric reanalysis and forced ocean model simulations) is used to address two questions: First, does an analogous mechanism to that of El Niño–Southern Oscillation (ENSO) exist in the equatorial Atlantic or Indian Ocean? Second, does the intrinsic variability in these basins matter for ENSO predictability? These questions are addressed by assessing the existence and strength of the Bjerknes and delayed negative feedbacks in each tropical basin, and by fitting conceptual recharge oscillator models, both with and without interactions a
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38

Seo, Eunkyo, and Paul A. Dirmeyer. "Understanding the diurnal cycle of land–atmosphere interactions from flux site observations." Hydrology and Earth System Sciences 26, no. 20 (2022): 5411–29. http://dx.doi.org/10.5194/hess-26-5411-2022.

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Abstract. Land–atmosphere interactions have been investigated at daily or longer timescales due to limited data availability and large errors for measuring high-frequency variations. Yet coupling at the subdaily timescale is characterized by the diurnal cycle of incoming solar radiation and surface fluxes. Based on flux tower observations, this study investigates the climatology of observed land–atmosphere interactions on subdaily timescales during the warm season. Process-based multivariate metrics are employed to quantitatively measure segmented coupling processes, and mixing diagrams are ad
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39

Song, Jiyun, and Zhi-Hua Wang. "Evaluating the impact of built environment characteristics on urban boundary layer dynamics using an advanced stochastic approach." Atmospheric Chemistry and Physics 16, no. 10 (2016): 6285–301. http://dx.doi.org/10.5194/acp-16-6285-2016.

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Abstract. Urban land–atmosphere interactions can be captured by numerical modeling framework with coupled land surface and atmospheric processes, while the model performance depends largely on accurate input parameters. In this study, we use an advanced stochastic approach to quantify parameter uncertainty and model sensitivity of a coupled numerical framework for urban land–atmosphere interactions. It is found that the development of urban boundary layer is highly sensitive to surface characteristics of built terrains. Changes of both urban land use and geometry impose significant impact on t
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40

Baker, Jessica C. A., Dayana Castilho de Souza, Paulo Y. Kubota, et al. "An Assessment of Land–Atmosphere Interactions over South America Using Satellites, Reanalysis, and Two Global Climate Models." Journal of Hydrometeorology 22, no. 4 (2021): 905–22. http://dx.doi.org/10.1175/jhm-d-20-0132.1.

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AbstractIn South America, land–atmosphere interactions have an important impact on climate, particularly the regional hydrological cycle, but detailed evaluation of these processes in global climate models has been limited. Focusing on the satellite-era period of 2003–14, we assess land–atmosphere interactions on annual to seasonal time scales over South America in satellite products, a novel reanalysis (ERA5-Land), and two global climate models: the Brazilian Global Atmospheric Model version 1.2 (BAM-1.2) and the U.K. Hadley Centre Global Environment Model version 3 (HadGEM3). We identify key
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41

Shull, Nathan, and Eungul Lee. "April Vegetation Dynamics and Forest–Climate Interactions in Central Appalachia." Atmosphere 10, no. 12 (2019): 765. http://dx.doi.org/10.3390/atmos10120765.

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The study of land–atmosphere (L–A) interactions is an emerging field in which the effects of the land on the atmosphere are strongly considered. Though this coupled approach is becoming more popular in atmospheric research, L–A interactions are not fully understood, especially in temperate regions. This study provides the first in-depth investigation of L–A interactions and their impacts on near-surface climate conditions in the Appalachian region of the Eastern United States. By way of statistical analysis, we explore vegetation dynamics, L–A interactions, and the consequences for near-surfac
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42

Berg, Larry K., and Peter J. Lamb. "Surface Properties and Interactions: Coupling the Land and Atmosphere within the ARM Program." Meteorological Monographs 57 (April 1, 2016): 23.1–23.17. http://dx.doi.org/10.1175/amsmonographs-d-15-0044.1.

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43

Cihlar, J., J. Chen, and Z. Li. "Seasonal AVHRR multichannel data sets and products for studies of surface-atmosphere interactions." Journal of Geophysical Research: Atmospheres 102, no. D24 (1997): 29625–40. http://dx.doi.org/10.1029/97jd01195.

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44

Lunine, J. I., and C. P. McKay. "Surface-atmosphere interactions on Titan compared with those on the pre-biotic Earth." Advances in Space Research 15, no. 3 (1995): 303–11. http://dx.doi.org/10.1016/s0273-1177(99)80101-x.

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45

Hu, Zhenglin, and Shafiqul Islam. "A Method to Evaluate the Importance of Interactions Between Land Surface and Atmosphere." Water Resources Research 32, no. 8 (1996): 2497–505. http://dx.doi.org/10.1029/96wr01395.

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46

Farquhar, J. "Atmosphere-Surface Interactions on Mars: 17O Measurements of Carbonate from ALH 84001 ." Science 280, no. 5369 (1998): 1580–82. http://dx.doi.org/10.1126/science.280.5369.1580.

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47

Clements, Craig B., and Daisuke Seto. "Observations of Fire–Atmosphere Interactions and Near-Surface Heat Transport on a Slope." Boundary-Layer Meteorology 154, no. 3 (2014): 409–26. http://dx.doi.org/10.1007/s10546-014-9982-7.

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48

Bryan, A. M., A. L. Steiner, and D. J. Posselt. "Regional modeling of surface-atmosphere interactions and their impact on Great Lakes hydroclimate." Journal of Geophysical Research: Atmospheres 120, no. 3 (2015): 1044–64. http://dx.doi.org/10.1002/2014jd022316.

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49

LEDREW, ELLSWORTH. "REMOTE SENSING OF ATMOSPHERE-CRYOSPHERE INTERACTIONS IN THE POLAR BASIN." Canadian Geographer/Le Géographe canadien 36, no. 4 (1992): 336–50. http://dx.doi.org/10.1111/j.1541-0064.1992.tb01145.x.

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50

Haugland, Matthew J., and Kenneth C. Crawford. "The Diurnal Cycle of Land–Atmosphere Interactions across Oklahoma’s Winter Wheat Belt." Monthly Weather Review 133, no. 1 (2005): 120–30. http://dx.doi.org/10.1175/mwr-2842.1.

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Abstract This manuscript documents the impact of Oklahoma’s winter wheat belt (WWB) on the near-surface atmosphere by comparing the diurnal cycle of meteorological conditions within the WWB relative to conditions in adjacent counties before and after the wheat harvest. To isolate the impact of the winter wheat belt on the atmosphere, data from several meteorological parameters were averaged to create a diurnal cycle before and after the wheat harvest. Observations from 17 Oklahoma Mesonet sites within the WWB (during a period of 9 yr) were compared with observations from 22 Mesonet sites in ad
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