@article{caputo1981remote,
    author = "Caputo, B. and Guagliardo, J.",
    title = "Remote monitoring of vertical temperature structure",
    year = "1981",
    journal = "IEEE Journal of Quantum Electronics",
    url = "https://doi.org/10.1109/jqe.1981.1070970",
    doi = "10.1109/jqe.1981.1070970",
    number = "12",
    pages = "2482-2482",
    volume = "17"
}

@misc{dillow1983the1,
    author = "Dillow, J. C",
    title = "The vertical temperature structure of the pre-flood vapor canopy",
    year = "1983",
    howpublished = "Creation Research Society Quarterly, v. 20, p. 7-14",
    note = "talkorigins\_source = {true}; raw\_reference = {Dillow, J. C., 1983, The vertical temperature structure of the pre-flood vapor canopy: Creation Research Society Quarterly, v. 20, p. 7-14.}"
}

@article{mckinney1989canopy,
    author = "McKinney, N. V. and Schapaugh, W. T. and Kanemasu, E. T.",
    title = "Canopy Temperature, Seed Yield, and Vapor Pressure Deficit Relationship in Soybean",
    year = "1989",
    journal = "Crop Science",
    abstract = "Drought stress frequently limits soybean production. Thirty soybean [Glycine max (L.) Merr.] lines in a field trial in 1982 were tested for canopy temperatures and response to vapor pressure deficit (VPD) as criteria for yield and drought tolerance. Lines were monitored for canopy temperature differential (Td = canopy temperature — air temperature), and wet and dry bulb temperatures determined the VPD of the air. The five warmest and five coolest lines based on seasonal mean Td, or, were monitored for in 1983 and 1984 under irrigated and nonirrigated environments. Soil type was (Umucic Hapiustoll) a Muir silt loam (fine‐silty, mixed, mesic in 1982 and 1984) and a Eodora silt loam soil (coarse‐silty, mixed, mesic) Fluventic Hapludoll) in 1983. Differences for among the lines were negatively correlated with seed yield. Warm genotypes were not more productive under dryland conditions, nor was the ratio of dryland yield to irrigated yield (yield stability) greater than for cool genotypes. Neither nor the ratio of dryland to irrigated (stability) was significantly correlated with yield stability. Lines did not differ significantly in their Td response to VPD (measared as the Td — VPD regression slope) on a seasonal basis. On 5 d with maximum VPD greater than 3 kPa, however, Td response to VPD differed significantly in the irrigated environment. These differences were not related to, yield, or yield stability. Indirect selection for yield using canopy temperature may be effective; however, warm genotypes are not more drought tolerant or yield stable than cooler selections.",
    url = "https://doi.org/10.2135/cropsci1989.0011183x002900040043x",
    doi = "10.2135/cropsci1989.0011183x002900040043x",
    number = "4",
    pages = "1038-1041",
    volume = "29"
}

@article{baumgardner1998an,
    author = "Baumgardner, Darrel and Miake‐Lye, R. C. and Anderson, M. R. and Brown, R. C.",
    title = "An evaluation of the temperature, water vapor, and vertical velocity structure of aircraft contrails",
    year = "1998",
    journal = "Journal of Geophysical Research: Atmospheres",
    abstract = "Measurements made in contrails formed in the wake of a Lear 35 have been analyzed with respect to their temperature, water vapor, and vertical velocity structure. The National Center for Atmospheric Research (NCAR) Sabreliner traversed the Lear's wake at distances varying from 150 m to 5 km and penetrated the contrails 243 times over the course of seven flights. The width of the plume is documented as a function of the distance between the leading and chase aircraft and the temperature, humidity and vertical motion components inside the plume have been analyzed and compared with a three dimensional wake vortex model. The analysis shows that the width increases very little within the first 5 km, in agreement with the vortex model. The increases in temperature and water vapor in the contrail 500 m from the exhaust were ≈0.6° and 8 ppmv, respectively. The vertical velocity change across the contrail was ≈4 m s −1. The agreement between observations and model predictions is quite good in comparisons of temperature. The model predicts larger water vapor mixing ratios, but the differences can be explained within the expected measurement uncertainties and lack of particle condensation in the vortex model. The model predicts larger excursions in vertical velocity but the trends are in excellent agreement between model and observations.",
    url = "https://doi.org/10.1029/98jd00205",
    doi = "10.1029/98jd00205",
    number = "D8",
    pages = "8727-8736",
    volume = "103"
}

@article{feigenwinter1999vertical,
    author = "Feigenwinter, C. and Vogt, R. and Parlow, E.",
    title = "Vertical Structure of Selected Turbulence Characteristics above an Urban Canopy",
    year = "1999",
    journal = "Theoretical and Applied Climatology",
    url = "https://doi.org/10.1007/s007040050074",
    doi = "10.1007/s007040050074",
    number = "1-2",
    pages = "51-63",
    volume = "62"
}

@incollection{crossref2010vertical,
    title = "Vertical Temperature Structure",
    year = "2010",
    booktitle = "An Introduction to Planetary Atmospheres",
    url = "https://doi.org/10.1201/9781439894668-10",
    doi = "10.1201/9781439894668-10",
    pages = "207-270"
}

@inproceedings{wang2010canopy,
    author = "Wang, Zhuosen and Schaaf, Crystal B. and Philip, Lewis and Knyazikhin, Yuri and Schull, Mitchell A. and Strahler, Alan H. and Myneni, Ranga B. and Chopping, Mark",
    title = "Canopy vertical structure using MODIS Bidirectional Reflectance data",
    year = "2010",
    booktitle = "2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing",
    url = "https://doi.org/10.1109/whispers.2010.5594952",
    doi = "10.1109/whispers.2010.5594952",
    pages = "1-4"
}

@article{wang2015the,
    author = "Wang, T. and Dessler, A. E. and Schoeberl, M. R. and Randel, W. J. and Kim, J.-E.",
    title = "The impact of temperature vertical structure on trajectory modeling of stratospheric water vapor",
    year = "2015",
    journal = "Atmospheric Chemistry and Physics",
    abstract = "Lagrangian trajectories driven by reanalysis meteorological fields are frequently used to study water vapor (H2O) in the stratosphere, in which the tropical cold-point temperatures regulate the amount of H2O entering the stratosphere. Therefore, the accuracy of temperatures in the tropical tropopause layer (TTL) is of great importance for understanding stratospheric H2O abundances. Currently, most reanalyses, such as the NASA MERRA (Modern Era Retrospective – analysis for Research and Applications), only provide temperatures with \textasciitilde\ 1.2 km vertical resolution in the TTL, which has been argued to miss finer vertical structure in the tropopause and therefore introduce uncertainties in our understanding of stratospheric H2O. In this paper, we quantify this uncertainty by comparing the Lagrangian trajectory prediction of H2O using MERRA temperatures on standard model levels (traj.MER-T) to those using GPS temperatures at finer vertical resolution (traj.GPS-T), and those using adjusted MERRA temperatures with finer vertical structures induced by waves (traj.MER-Twave). It turns out that by using temperatures with finer vertical structure in the tropopause, the trajectory model more realistically simulates the dehydration of air entering the stratosphere. But the effect on H2O abundances is relatively minor: compared with traj.MER-T, traj.GPS-T tends to dry air by \textasciitilde\ 0.1 ppmv, while traj.MER-Twave tends to dry air by 0.2–0.3 ppmv. Despite these differences in absolute values of predicted H2O and vertical dehydration patterns, there is virtually no difference in the interannual variability in different runs. Overall, we find that a tropopause temperature with finer vertical structure has limited impact on predicted stratospheric H2O.",
    url = "https://doi.org/10.5194/acp-15-3517-2015",
    doi = "10.5194/acp-15-3517-2015",
    number = "6",
    pages = "3517-3526",
    volume = "15"
}

@incollection{crossref2023canopy,
    title = "Canopy Temperature",
    year = "2023",
    booktitle = "Encyclopedia of Digital Agricultural Technologies",
    url = "https://doi.org/10.1007/978-3-031-24861-0\_300011",
    doi = "10.1007/978-3-031-24861-0\_300011",
    pages = "119-119"
}

@misc{crossrefNonefigure,
    title = "Figure 5: Vertical distribution of air temperature in summer maize canopy.",
    year = "None",
    url = "https://doi.org/10.7717/peerj.12891/fig-5",
    doi = "10.7717/peerj.12891/fig-5"
}